TetraScience

Collaborate with customers to develop and implement scientific AI/ML use cases, analyze data, and enable AI adoption in life sciences. | Deep domain expertise in life sciences, extensive experience with scientific data workflows, scripting skills, and customer-facing experience. | Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. Who You Are You are a strategic, analytically minded professional with a passion for bridging scientific insights and cutting-edge technology. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. With deep domain knowledge in drug discovery/preclinical development, CMC, or Quality, you are skilled at uncovering innovative use cases that drive AI and machine learning applications. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data. You will need to be a high clock speed and forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside of Life Sciences. You will need to be a high clock-speed, forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside Life Sciences. You embody extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications. You should also be energized by regularly working onsite with customers. You thrive in dynamic, high-impact, face-to-face collaborative environments where you can build deep relationships and drive scientific transformation firsthand. Requirements What You Have Done • PhD with 15+ years of industry experience in life sciences, preferably across pharma, biotech, or health tech, with deep domain expertise in discovery, preclinical, CMC, and/or Quality. • Extensive hands-on experience or direct oversight in one or more of the following areas: high throughput screening, preclinical toxicology, materials engineering, analytical development, drug substance (DS) synthesis and manufacturing. • Delivered requirements for AI/ML-driven solutions in operational or productized environments that improved efficiency, reduced cost, and enhanced data utilization. • Extensive hands-on experience with scientific data workflows and lab automation; exposure to FAIR principles and modern data architecture is a plus. • Strong coding or scripting background (e.g., Python, Nextflow, AWS, SDKs) and familiarity with scientific tools, databases, and ontologies is preferred. • Exceptional communication and storytelling ability to engage technical and executive stakeholders. • Prior experience in customer-facing, consulting, or commercial-scientific interface roles. What You Will Do • You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite up to 4-5 days per week in the Boston Region • Customer Data Exploration: Investigate diverse customer datasets, identifying enrichment and AI-readiness opportunities. • Scientific Use Case Development: Collaborate with customers to define, iterate, and implement innovative scientific AI/ML use cases. • Stakeholder Engagement: Conduct onsite interviews and workshops to deeply understand customer challenges and data landscapes. • Data Analysis and Enrichment: Perform exploratory data analysis and define transformation workflows that enable scientific AI. • Workflow Documentation: Develop visual documentation including workflow diagrams, ERDs, and ontology definitions. • AI Model Evaluation: Provide practical scientific input on model output, with suggestions to improve real-world performance. • Customer Enablement: Deliver onsite demonstrations, conduct working sessions, and act as a trusted advisor in AI adoption. • Strategic Insight: Propose new directions, experiments, or platforms that can amplify scientific discovery and development. Benefits • 100% employer-paid benefits for all eligible employees and immediate family members • Unlimited paid time off (PTO) • 401K • Remote working opportunities, when not at customer sites • Company paid Life Insurance, LTD/STD • A culture of continuous improvement where you can grow your career and get coaching Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. Who You Are You are a strategic, analytically minded professional with a passion for bridging scientific insights and cutting-edge technology. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. With deep domain knowledge in drug discovery/preclinical development, CMC, or Quality, you are skilled at uncovering innovative use cases that drive AI and machine learning applications. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data. You will need to be a high clock speed and forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside of Life Sciences. You will need to be a high clock-speed, forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside Life Sciences. You embody extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications. You should also be energized by regularly working onsite with customers. You thrive in dynamic, high-impact, face-to-face collaborative environments where you can build deep relationships and drive scientific transformation firsthand. Requirements What You Have Done • PhD with 15+ years of industry experience in life sciences, preferably across pharma, biotech, or health tech, with deep domain expertise in discovery, preclinical, CMC, and/or Quality. • Extensive hands-on experience or direct oversight in one or more of the following areas: high throughput screening, preclinical toxicology, materials engineering, analytical development, drug substance (DS) synthesis and manufacturing. • Delivered requirements for AI/ML-driven solutions in operational or productized environments that improved efficiency, reduced cost, and enhanced data utilization. • Extensive hands-on experience with scientific data workflows and lab automation; exposure to FAIR principles and modern data architecture is a plus. • Strong coding or scripting background (e.g., Python, Nextflow, AWS, SDKs) and familiarity with scientific tools, databases, and ontologies is preferred. • Exceptional communication and storytelling ability to engage technical and executive stakeholders. • Prior experience in customer-facing, consulting, or commercial-scientific interface roles. What You Will Do • You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite up to 4-5 days per week in the Boston Region • Customer Data Exploration: Investigate diverse customer datasets, identifying enrichment and AI-readiness opportunities. • Scientific Use Case Development: Collaborate with customers to define, iterate, and implement innovative scientific AI/ML use cases. • Stakeholder Engagement: Conduct onsite interviews and workshops to deeply understand customer challenges and data landscapes. • Data Analysis and Enrichment: Perform exploratory data analysis and define transformation workflows that enable scientific AI. • Workflow Documentation: Develop visual documentation including workflow diagrams, ERDs, and ontology definitions. • AI Model Evaluation: Provide practical scientific input on model output, with suggestions to improve real-world performance. • Customer Enablement: Deliver onsite demonstrations, conduct working sessions, and act as a trusted advisor in AI adoption. • Strategic Insight: Propose new directions, experiments, or platforms that can amplify scientific discovery and development. Benefits • 100% employer-paid benefits for all eligible employees and immediate family members • Unlimited paid time off (PTO) • 401K • Remote working opportunities, when not at customer sites • Company paid Life Insurance, LTD/STD • A culture of continuous improvement where you can grow your career and get coaching

Designing and developing scalable distributed applications with a focus on microservices, automation, and cloud infrastructure. | Extensive experience with backend development, TypeScript, React, AWS services, and CI/CD pipelines, along with production debugging skills. | Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. Job Description We are seeking a highly skilled Senior .NET Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing and developing high-performance, scalable applications using C#, the .NET Framework, and TypeScript. The role involves implementing automated testing and leveraging GitHub Actions for CI/CD pipelines. The candidate should also be proficient in production debugging and possess excellent communication skills. Knowledge and experience with AWS cloud services are also essential. Requirements Key Responsibilities • High-Performance, Distributed, and Scalable Application Design: Architect, design, and maintain distributed applications, ensuring high performance, scalability, and security. • Full-Stack Development: Develop backend services (primarily C#/.NET and TypeScript) and cloud APIs, as well as modern, responsive front-end applications using TypeScript / React. • Microservices Architecture: • Design and implement loosely coupled, independently deployable services using AWS services such as DynamoDB, RDS, SQS, Lambda, API Gateway, and others. • Build, deploy, and manage applications using AWS services such as DynamoDB, RDS, SQS, Lambda, API Gateway, and others. • Automated Testing: Create and maintain automated unit, integration, contract, and end-to-end tests across microservices and UI layers. • CI/CD Pipelines: Use GitHub Actions to implement and maintain CI/CD pipelines for both backend services and front-end applications. • Production Debugging & Optimization: Diagnose and resolve production issues in distributed systems, including service-to-service communication, CPU/memory/network bottlenecks, and AWS service performance. • Collaboration & Communication: Work closely with product managers, tech leads, and other engineers to deliver reliable, maintainable, and scalable solutions. Communicate technical decisions clearly to both technical and non-technical stakeholders. Qualifications: • Experience: Proven track record in designing and building distributed applications. • Required Technical Skills: • Strong proficiency in backend service development (C#/.NET preferred, but open to other modern server-side languages). • Strong proficiency in TypeScript and React for front-end UI. • Hands-on experience with AWS DynamoDB, RDS, SQS ( or an equivalent cloud provider) in production environments. • Experience with microservices patterns (service discovery, API gateway, messaging/queueing, data partitioning). • Experience with automated testing at multiple levels. • Strong Git skills and hands-on experience with GitHub Actions for CI/CD. • Strong troubleshooting skills for distributed systems in production. • Solid understanding of cloud-native architecture and AWS best practices. • Soft Skills: • Excellent verbal and written communication. • Strong collaboration skills in cross-functional teams. • Analytical mindset with high attention to detail. Preferred Qualifications: • Familiarity with containerization (Docker) and experience defining AWS infrastructure using CloudFormation (or AWS CDK) to support predictable and repeatable environments. • Experience with performance tuning and designing scalable solutions. Benefits • 100% employer-paid benefits for all eligible employees and immediate family members • Unlimited paid time off (PTO) • 401K • Flexible working arrangements - Remote work • Company paid Life Insurance, LTD/STD • A culture of continuous improvement where you can grow your career and get coaching No visa sponsorship is available for this position

Assist in exploring and enriching scientific datasets, developing AI/ML use cases, and guiding scientific stakeholders in data strategies. | Extensive domain knowledge in DMPK, Metabolite ID, and related bioanalytical techniques, with a proven track record in AI/ML application in life sciences, and 15+ years of industry experience. | Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. Who You Are You are a strategic, analytically minded professional with a passion for bridging scientific insights and cutting-edge technology. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. With deep domain knowledge in DMPK and Metabolite ID, you are skilled at uncovering innovative use cases that drive AI and machine learning applications. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data. You will need to be a high clock speed and forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside of Life Sciences. You will need to fundamentally embody the principles of extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications. This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry. What You Will Do • Customer Data Exploration: Investigate customer datasets to identify gaps, enrichment opportunities, and AI-readiness factors. • Scientific Use Case Development: Collaborate with customers to define, iterate, and refine AI/ML-driven scientific use cases. • Stakeholder Engagement: Interview scientists and guide them in expanding and leveraging their data for AI applications. • Data Analysis and Enrichment: Perform exploratory data analysis (EDA) and define data transformations for AI/ML use cases. • Workflow Documentation: Develop workflow diagrams, process mappings,, AS-IS/TO-BE workflows, and ontology definitions. • AI Model Evaluation: Provide feedback on AI/ML models to enhance scientific outcomes and improve product offerings. • Customer Education and Demonstration: Conduct technical demonstrations, showcase AI applications, and drive adoption. • Strategic Recommendations: Proactively suggest experiments or data strategies that strengthen customer insights and outcomes. Requirements What You Have Done • PhD with 15+ years of industry experience in life sciences with extensive domain knowledge in DMPK / Metabolite ID including ADME (Absorption, Distribution, Metabolism, Excretion), PK/PD Modeling (NONMEM, Phoenix WinNonlin), In vitro / In vivo Studies (microsomes, hepatocytes, animal models), Bioanalytical LC-MS/MS, and CYP450 Enzyme Profiling & Metabolite Identification • Proven track record of defining and implementing AI/ML-driven use cases in productized environments to support DMPK and Metabolite ID efforts. • Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders. • Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible. • Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities • Advised scientists in a consulting capacity to further research, development, and quality testing outcomes. Benefits • 100% employer-paid benefits for all eligible employees and immediate family members • Unlimited paid time off (PTO) • 401K • Remote working opportunities, when not at customer sites • Company paid Life Insurance, LTD/STD • A culture of continuous improvement where you can grow your career and get coaching Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. Who You Are You are a strategic, analytically minded professional with a passion for bridging scientific insights and cutting-edge technology. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. With deep domain knowledge in DMPK and Metabolite ID, you are skilled at uncovering innovative use cases that drive AI and machine learning applications. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data. You will need to be a high clock speed and forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside of Life Sciences. You will need to fundamentally embody the principles of extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications. This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry. What You Will Do • Customer Data Exploration: Investigate customer datasets to identify gaps, enrichment opportunities, and AI-readiness factors. • Scientific Use Case Development: Collaborate with customers to define, iterate, and refine AI/ML-driven scientific use cases. • Stakeholder Engagement: Interview scientists and guide them in expanding and leveraging their data for AI applications. • Data Analysis and Enrichment: Perform exploratory data analysis (EDA) and define data transformations for AI/ML use cases. • Workflow Documentation: Develop workflow diagrams, process mappings,, AS-IS/TO-BE workflows, and ontology definitions. • AI Model Evaluation: Provide feedback on AI/ML models to enhance scientific outcomes and improve product offerings. • Customer Education and Demonstration: Conduct technical demonstrations, showcase AI applications, and drive adoption. • Strategic Recommendations: Proactively suggest experiments or data strategies that strengthen customer insights and outcomes. Requirements What You Have Done • PhD with 15+ years of industry experience in life sciences with extensive domain knowledge in DMPK / Metabolite ID including ADME (Absorption, Distribution, Metabolism, Excretion), PK/PD Modeling (NONMEM, Phoenix WinNonlin), In vitro / In vivo Studies (microsomes, hepatocytes, animal models), Bioanalytical LC-MS/MS, and CYP450 Enzyme Profiling & Metabolite Identification • Proven track record of defining and implementing AI/ML-driven use cases in productized environments to support DMPK and Metabolite ID efforts. • Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders. • Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible. • Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities • Advised scientists in a consulting capacity to further research, development, and quality testing outcomes. Benefits • 100% employer-paid benefits for all eligible employees and immediate family members • Unlimited paid time off (PTO) • 401K • Remote working opportunities, when not at customer sites • Company paid Life Insurance, LTD/STD • A culture of continuous improvement where you can grow your career and get coaching

Managing and optimizing databases, cloud services, and data migration tasks. | Extensive experience in SQL, cloud services, and database management, with a focus on performance tuning and migration. | Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. What You Will Do Research data acquisition strategy for scientific lab instrumentation Research and productionize file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries) Design and build data models and the corresponding data pipelines, unit tests, integration tests, and reusable utility functions Cross-analyze instrument data with the same instrument type or scientific workflow to design common data model components. Build visualization, report, and dashboards using Streamlit, Tableau, Jupyter notebook, etc. Drive value for the customers - test and make sure the solution fulfills their requirements and provides value What You Have Done Must have >5 years experience in Python and SQL Must have a degree in biology or chemistry or relevant fields OR > 3 years of work experience in pharmaceutical or biotech industry in scientific data engineering, data modeling, or data analytics. Experience with data plotting dashboarding tools like Streamlit, Tableau, Jupyter Notebook is a plus Passionate about data problems and using AI and LLM to come up with creative ideas Excellent communication skills, attention to detail, and the confidence to take control of project delivery Quickly understand a highly technical product and effectively communicate with product management and engineering Proactive problem-solving skills High-bandwidth: thrives when managing multiple simultaneous projects Intellectually curious: Unwavering drive to learn and know more every day Ability to think creatively about how to solve project risks without reducing quality Team player and ability to "roll up your sleeves" and do what it takes to make the team successful 100% employer-paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401K Flexible working arrangements - Remote work Company paid Life Insurance, LTD/STD A culture of continuous improvement where you can grow your career and get coaching We are not currently providing visa sponsorship for this position

Define and execute product marketing strategy for a scientific data and AI cloud platform, create marketing content, collaborate with sales and partners, and represent the platform externally. | 7+ years product marketing experience in data platforms or cloud products for life sciences, strong knowledge of lab informatics and cloud data architectures, excellent communication and collaboration skills. | Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. Who You Are We are seeking a strategic and technically astute Product Marketing Manager to lead the go-to-market strategy for the Tetra Scientific Data and AI Cloud platform. You bring a strong product orientation and storytelling instinct, grounded in real-world experience at the intersection of data, cloud, and life sciences. You understand how to position a platform that’s as relevant to CDOs and Heads of IT as it is to scientists, data engineers, and AI practitioners. You are a systems thinker with an eye for simplification and scale. You understand the critical importance of data architecture and FAIR principles in enabling scientific AI, and you can articulate the differentiated value of a cloud-native, vendor-neutral, extensible platform approach. You thrive in high-growth, cross-functional environments and are motivated by the opportunity to build category-defining products and narratives. What You Will Do In this role, you will define and drive the product marketing strategy for the Tetra Scientific Data and AI Cloud platform. Your work will empower the world's leading biopharma companies to replatform their scientific data, enabling transformational outcomes in discovery, development, manufacturing, and quality control. You will collaborate with Product, Engineering, Sales, and Strategic Partners to craft clear, compelling positioning, messaging, and sales enablement materials. You’ll also help shape the narrative for our ecosystem, including integrations with major cloud, AI, and data platform partners like Databricks, Snowflake, AWS, Microsoft, and NVIDIA. This is a pivotal role that combines deep technical understanding with go-to-market acumen and a bias for execution. Responsibilities Own the platform product marketing strategy across all technical personas (scientific IT, data leaders, AI/ML). Define and continuously refine positioning, messaging, and value propositions for our cloud platform, developer and data capabilities and architecture. Create compelling product marketing content—solution briefs, technical explainer videos, competitive battlecards, web copy, white papers, and thought leadership assets. Collaborate with sales, alliances, and field teams to deliver training, tools, and content that accelerate pipeline and sales velocity. Support partner co-marketing efforts with major platform and AI partners (e.g., Snowflake, Databricks, NVIDIA, AWS, Microsoft). Serve as the voice of the platform in customer briefings, industry events, webinars, and analyst conversations. Track key metrics to evaluate market opportunity / share / impact impact, adoption patterns, and ecosystem growth. Formal education in a scientific or technical discipline (e.g., life sciences, data science, computer science, engineering). 7+ years of experience in product marketing for data platforms, developer tooling, or cloud-based enterprise products in the life sciences. Strong knowledge of lab informatics, FAIR data principles, cloud data architectures, and scientific R&D workflows. Demonstrated ability to translate platform capabilities into clear, differentiated customer value. Experience working with ecosystem partners (cloud, AI, analytics) and supporting partner go-to-market motions. Exceptional writing, communication, and presentation skills. Strong collaboration skills and experience working with cross-functional teams in high-velocity environments. 100% employer-paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401K Flexible working arrangements - Remote work Company paid Life Insurance, LTD/STD A culture of continuous improvement where you can grow your career and get coaching We are not currently providing visa sponsorship for this position

As a Lead Platform Engineer, you will architect and evolve the cloud-native Tetra data platform to support high-throughput, low-latency data processing. You will collaborate with engineering and product teams to deliver infrastructure that supports new services and high-volume data processing workloads. | Candidates should have 10+ years of experience in software and infrastructure engineering, with a proven track record in designing and scaling distributed systems. Strong proficiency in TypeScript, Python, and AWS services is required, along with experience in API design and infrastructure-as-code frameworks. | TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. The Role As a Lead Platform Engineer, you will play a critical role in evolving and scaling our cloud-native Tetra data platform to handle 100× growth in data volume and user demand. You’ll partner with engineering, data, and AI teams to design scalable architectures, proactively anticipate and mitigate scaling challenges, and ensure our platform remains performant, reliable, and cost-efficient as it grows. This is a highly impactful role for an engineer who’s passionate about distributed systems, understands the trade-offs of large-scale design, and thrives on turning ambitious scalability goals into concrete technical strategies. If you’re excited by the challenge of architecting cloud-native infrastructure to power massive growth and thrive on solving complex scalability problems, we’d love to hear from you. What You will Do Architect and evolve our cloud-native platform infrastructure to support high-throughput, low-latency data processing patterns, customer-facing features, and design platform to meet scalability requirements. Design scalable, distributed systems powering complex capabilities such as authentication & authorization, data lifecycle management, search infrastructure, operational intelligence, and real-time event processing. Proactively analyze platform performance and scalability; identify potential constraints and define strategies that enable both continuous and step-function growth. Collaborate with engineering and product teams to deliver infrastructure that supports new services, customer-facing applications, and high-volume data processing workloads. Build and maintain infrastructure-as-code (e.g., CloudFormation, AWS CDK) to automate, standardize, and secure deployments to support online upgrades and on-demand infrastructure allocation. Enhance observability and monitoring to ensure reliability, cost efficiency, and rapid incident response. Champion best practices in distributed systems design, scalability, and performance optimization, and share architectural insights through design reviews and technical documentation. 10+ years of hands-on experience in software and infrastructure engineering, with a proven track record of designing, building, and scaling distributed, cloud-native systems in production environments. Demonstrated experience as a technical leader or architect, making key decisions on system design, scalability, performance, and cost optimization. Strong proficiency in API-first design, including REST, GraphQL, and OpenAPI specifications designing APIs that are scalable, secure, versioned, and extensible. Strong proficiency in TypeScript and Python, with a focus on building highly performant backend services. Expertise in AWS cloud services and architecture, including deep experience with core services (e.g., EC2, Lambda, ECS/EKS, IAM, S3) and advanced data and messaging tools such as SQS, Kinesis, Kafka, and EventBridge. Expert knowledge of infrastructure-as-code frameworks such as CloudFormation and CDK, CI/CD pipelines, and strong opinions on production deployment strategy across dozens of platforms. Solid understanding of observability best practices, including monitoring, alerting, and distributed tracing for SLI/SLO/SLA design. Ability to articulate ideas clearly, present findings persuasively, and build rapport with clients and team members. Strong collaboration skills and the ability to partner effectively with cross-functional teams. 100% employer-paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401K Flexible working arrangements - Remote work Company paid Life Insurance, LTD/STD A culture of continuous improvement where you can grow your career and get coaching We are not currently providing visa sponsorship for this position.

As a Lead Platform Engineer, you will architect and evolve the cloud-native Tetra data platform to support high-throughput data processing and scalability. You will collaborate with engineering and product teams to deliver infrastructure that meets the demands of new services and high-volume workloads. | Candidates should have 10+ years of experience in software and infrastructure engineering with a strong background in designing and scaling distributed systems. Proficiency in TypeScript, Python, and AWS services is essential, along with experience in API design and infrastructure-as-code. | TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. The Role As a Lead Platform Engineer, you will play a critical role in evolving and scaling our cloud-native Tetra data platform to handle 100× growth in data volume and user demand. You’ll partner with engineering, data, and AI teams to design scalable architectures, proactively anticipate and mitigate scaling challenges, and ensure our platform remains performant, reliable, and cost-efficient as it grows. This is a highly impactful role for an engineer who’s passionate about distributed systems, understands the trade-offs of large-scale design, and thrives on turning ambitious scalability goals into concrete technical strategies. If you’re excited by the challenge of architecting cloud-native infrastructure to power massive growth and thrive on solving complex scalability problems, we’d love to hear from you. What You will Do Architect and evolve our cloud-native platform infrastructure to support high-throughput, low-latency data processing patterns, customer-facing features, and design platform to meet scalability requirements. Design scalable, distributed systems powering complex capabilities such as authentication & authorization, data lifecycle management, search infrastructure, operational intelligence, and real-time event processing. Proactively analyze platform performance and scalability; identify potential constraints and define strategies that enable both continuous and step-function growth. Collaborate with engineering and product teams to deliver infrastructure that supports new services, customer-facing applications, and high-volume data processing workloads. Build and maintain infrastructure-as-code (e.g., CloudFormation, AWS CDK) to automate, standardize, and secure deployments to support online upgrades and on-demand infrastructure allocation. Enhance observability and monitoring to ensure reliability, cost efficiency, and rapid incident response. Champion best practices in distributed systems design, scalability, and performance optimization, and share architectural insights through design reviews and technical documentation. 10+ years of hands-on experience in software and infrastructure engineering, with a proven track record of designing, building, and scaling distributed, cloud-native systems in production environments. Demonstrated experience as a technical leader or architect, making key decisions on system design, scalability, performance, and cost optimization. Strong proficiency in API-first design, including REST, GraphQL, and OpenAPI specifications designing APIs that are scalable, secure, versioned, and extensible. Strong proficiency in TypeScript and Python, with a focus on building highly performant backend services. Expertise in AWS cloud services and architecture, including deep experience with core services (e.g., EC2, Lambda, ECS/EKS, IAM, S3) and advanced data and messaging tools such as SQS, Kinesis, Kafka, and EventBridge. Expert knowledge of infrastructure-as-code frameworks such as CloudFormation and CDK, CI/CD pipelines, and strong opinions on production deployment strategy across dozens of platforms. Solid understanding of observability best practices, including monitoring, alerting, and distributed tracing for SLI/SLO/SLA design. Ability to articulate ideas clearly, present findings persuasively, and build rapport with clients and team members. Strong collaboration skills and the ability to partner effectively with cross-functional teams. 100% employer-paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401K Flexible working arrangements - Remote work Company paid Life Insurance, LTD/STD A culture of continuous improvement where you can grow your career and get coaching We are not currently providing visa sponsorship for this position.

Manage full sales cycle for enterprise accounts, build territory and target lists, lead account acquisition campaigns, and collaborate cross-functionally to close deals. | 5+ years sales experience in Cloud Data or Life Sciences software, proven success closing $1M+ SaaS deals, domain expertise in Biotech/Life Sciences, and proficiency with modern sales methodologies and digital sales tools. | Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom: In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. What You Will Do We are expanding rapidly and adding an Enterprise Account Executive to join our Enterprise Sales Team. The purpose of this role is to introduce potential to the value of the Scientific Data Cloud. As an Enterprise Account Executive, you should be comfortable building a territory, segmenting a target list, leading large account acquisition campaigns, and managing stakeholders to account closure. You will also be responsible for the creation, management, and delivery of the engagement process of your focus accounts. As an Enterprise Account Executive, you will be team focused, have excellent collaboration skills and a high commitment to customer success. The ideal candidate will be a forward-thinking individual with a passion for selling complex data platforms and the ability to translate to enterprise customers how complex data platforms handle ingestion, harmonization, orchestration and enable the path to AI / ML. Our success is defined by collaboration. You will have tremendous support to achieve your objectives, from a variety of teams, both internal and external. Spearhead the growth & adoption of TetraScience Scientific Data Cloud Manage the full sales cycle from prospecting and qualifying through closing. Uncover new opportunities from our existing customers and target accounts. Provide timely and accurate forecasts and clear visibility on sales and revenue performance by actively managing your pipeline of opportunities and weekly sales forecasts. Leverage and coordinate cross-functional teams, when necessary (Legal, Engineering, Marketing, Product), to efficiently navigate complex sales cycles. Engage in team development and mentoring. Lead compelling presentations of TetraScience Data Integration Products and vision to a range of audiences from R&D IT, Informatics, Scientists and Data Scientists to Directors, VPs, CDOs and Digital Transformation Executives. Travel to Customers and Events to prospect and promote TetraScience’s products. What You Have Done 5+ years of experience in a sales role within Cloud Data OR related Life Sciences software is required No industry experience in Cloud Data OR related Life Sciences software, please do not apply. For candidates with Cloud Data, experience selling and being able to translate to enterprise customers how complex data platforms handle ingestion, harmonization, orchestration and enable the path to AI / ML is required. Experienced closing $1M+ SaaS sales opportunities with an understanding of how to map and work large accounts. Can grow accounts into 8-figure opportunities. Understanding of all aspects of the sales cycle from Prospecting, Qualifying, Presentation, Demonstration, POC (Proof Stage) to negotiation and closing. Have used and been trained in a modern sales methodology – Force Management, MEDDIC, MEDPIC, Challenger Sales, Target Account Selling, Revergy or similar. Have experience with a digital sales stack – such as Salesforce, LinkedIn Navigator, ZoomInfo, SalesLoft… & Familiar with Social Selling. Understanding of forecasting and time management. Excellent written and verbal communication skills. Ability to thrive in a constantly changing and evolving work environment. Unwavering drive to be successful and constantly develop your career. Biotech, Life Sciences, or Big Pharma domain expertise is a required. 100% employer-paid benefits for all eligible employees and immediate family members. Unlimited paid time off (PTO). 401K. Flexible working arrangements - Remote work Company paid Life Insurance, LTD/STD. No visa sponsorship is available for this position #LIRemote

Lead and grow the Americas sales team to drive revenue growth in life sciences R&D software by managing complex enterprise deals and expanding customer base. | 10+ years selling life sciences R&D software with 3-5 years sales management, experience with large pharma accounts, complex enterprise deals, and startup environments. | Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by industrializing the production of AI-native scientific data and AI-enabled use cases across the value chain. TetraScience is the category leader in this vital new market. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements TetraScience Newsroom In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our CEO. This letter is designed to assist you in better understanding whether TetraScience's values and ethos are the right fit for you. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents daily. Who You Are TetraScience is hiring an elite field operations leader to oversee the Americas. You will report directly to the CEO, work closely with the balance of the leadership team, and you will own the number for the Americas business. Full stop. As we rapidly evolve our platform and open up new value creation paths with new SKUs and new personas, we require an uncompromising and results-driven sales leader to help us expand within our customer base and acquire new leading pharmaceutical customers. You will need to be a high clock speed and forward-thinking individual with a passion for selling complex and multi-persona solutions inside of Life Sciences. As a player you will fundamentally embody the principles of extreme ownership and have a demonstrated history of selling complex, enterprise class deals - from initial lands through to ELAs. As a coach you will have a demonstrated history of building and leading high-performing sales teams. Beyond your direct reports you will have demonstrable experience in cross-functional and cross-enterprise collaboration. You will lead from the front, calling plays, setting the tempo, and ensuring your team delivers against their numbers. You are not a passive role player. You will have demonstrable experience in managing the day-to-day activities of your teams and building accurate and reliable forecasts with proof of consistently exceeding annual and quarterly revenue targets. Again, you are a player-coach and not a spectator. You will travel to customers, pitch the vision, and close your own deals as well as directing and coaching a rapidly expanding team of AEs. For the avoidance of doubt, we remain in the category creation and evangelism phase and thus you are not coming in to be an order-taker or career coach. It will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life sciences industry. What You Will Do • Develop and execute a comprehensive sales strategy to drive revenue growth and meet annual sales targets. • Identify and pursue new business opportunities, expanding our customer base across the biopharma value chain. • Stay up-to-date on industry trends and emerging technologies, positioning TetraScience as a thought leader in the market. • Work closely with marketing and product teams to develop and implement go-to-market strategies and campaigns. • Lead compelling presentations of TetraScience to a range of audiences from R&D IT, Informatics, Scientists and Data Scientists to Directors, VPs, CDOs and Digital Transformation Executives. • Leverage and coordinate cross-functional teams, when necessary (Legal, Engineering, Marketing, Product), to efficiently navigate complex sales cycles. • Aligning to the sales strategy, you will define and implement plans for the assigned accounts to achieve sales objectives. • Maintain ongoing relationships with existing customers, ensuring high levels of customer satisfaction and retention. • Manage sales forecasting and reporting and regularly update senior leadership on progress toward targets. • Build and manage a high-performance sales team, setting clear targets and objectives to ensure individual and team success. • You will coach your team to develop in their careers and inspire your team to do the best work of their life but will be completely comfortable inspecting and directing alongside coaching. • Employ analytical skills and the ability to generate insights from data. Requirements What You Have Done • 10+ years selling to the life sciences R&D software and data market • Of that 10 years; 3-5 years in a sales management role (Regional or District Manager perhaps) • Significantly curious about the scientific data problems of the pharma industry - you will have interfaced with and influenced VPs and above, in both scientific and IT functions • Some experience in leading a team of account executives but also still hands on with deals every day • Worked in startup environments • Sold to and led successful teams in the Top 100 Pharma cohort (not biotech) • Sold large and complex enterprise deals - $ millions to tens of millions in ARR per deal • Created and scaled the highest performing teams in your orgs meeting quota every quarter without fail • Clear evidence of pushing the broader team to direct product marketing efforts to grow your business • Clear evidence of having expanded accounts through protracted, gritty, forward deployed engagement of a broader set of account teams • Evidenced strong leadership skills while navigating difficult periods with your team • Operated effectively in a fast-paced, team environment - completely comfortable working in a "win as a team" environment Benefits • 100% employer-paid benefits for all eligible employees and immediate family members. • Unlimited paid time off (PTO). • 401K. • Flexible working arrangements - Remote work + office as needed. • Company paid Life Insurance, LTD/STD.

Lead UX design for AI-driven scientific workflows, collaborate cross-functionally to define UX roadmaps, conduct user research with pharmaceutical clients, and evolve design systems for enterprise scientific users. | 10+ years UX design experience with 3+ years leading AI/ML platforms in life sciences, portfolio of scientific interfaces, collaboration with AI teams, familiarity with regulated environments, and proficiency in rapid prototyping tools. | Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. What You Will Do Design AI-Powered Scientific Workflows (60-80% hands-on): Lead end-to-end UX design for AI-driven features, including wireframes, prototypes, and high-fidelity interfaces that integrate scientific data inputs (e.g., assays, instruments, ELN/LIMS) with AI model outputs. Collaborate with platofrm and science teams to translate algorithmic decision-making processes into intuitive user interactions. Strategic Vision & Cross-Functional Leadership: Partner with product managers and scientific stakeholders to define UX roadmaps that align with platform adoption goals. Advocate for user-centric design in AI product development, balancing technical feasibility with scientific user needs. Customer-Facing Research & Validation: Conduct lightweight user research directly with pharmaceutical clients to identify pain points in lab workflows. Rapidly prototype solutions and iterate based on stakeholder feedback, prioritizing high-impact improvements. Evolving Design Systems: Enhance existing design patterns and components to ensure consistency across AI-driven features, focusing on scalability for enterprise scientific users. Requirements • 10+ years of UX design experience, with 3+ years leading AI/ML-powered enterprise platforms in life sciences, healthcare, or regulated environments. • Portfolio demonstrating end-to-end ownership of scientific interfaces including complex data visualization, AI interface design, and workflow optimization for non-technical users • Proven ability to influence product strategy by translating scientific workflows into AI interaction patterns (e.g., multi-model comparisons, iterative retraining interfaces). • Experience collaborating with scientists or AI teams to design interfaces that expose model inputs/outputs, uncertainty metrics, and feedback mechanisms. • Familiarity with life sciences workflows (e.g., assay development, computational biology) and regulated environments (GxP, FDA). • Proficiency in Figma, Miro, or similar tools for rapid prototyping. • Strong Communicator. You communicate clearly and persuasively in multiple mediums with product managers, engineers, stakeholders, and customers. Preferred Qualifications • Advanced degree in HCI, Cognitive Science, or related field. • Published research/presentations on AI-human collaboration in scientific contexts. Benefits Benefits US • 100% employer-paid benefits for all eligible employees and immediate family members • Unlimited paid time off (PTO) • 401K • Flexible working arrangements - Remote work • Company paid Life Insurance, LTD/STD • A culture of continuous improvement where you can grow your career and get coaching We are not currently providing visa sponsorship for this position

Design and develop scalable distributed applications using C#/.NET and TypeScript, implement microservices on AWS, maintain CI/CD pipelines, and troubleshoot production issues. | Senior-level experience with C#/.NET backend development, TypeScript/React frontend, AWS cloud services, microservices, automated testing, GitHub Actions CI/CD, and strong communication skills. | Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. Job Description We are seeking a highly skilled Senior .NET Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing and developing high-performance, scalable applications using C#, the .NET Framework, and TypeScript. The role involves implementing automated testing and leveraging GitHub Actions for CI/CD pipelines. The candidate should also be proficient in production debugging and possess excellent communication skills. Knowledge and experience with AWS cloud services are also essential. Key Responsibilities High-Performance, Distributed, and Scalable Application Design: Architect, design, and maintain distributed applications, ensuring high performance, scalability, and security. Full-Stack Development: Develop backend services (primarily C#/.NET and TypeScript) and cloud APIs, as well as modern, responsive front-end applications using TypeScript / React. Microservices Architecture: Design and implement loosely coupled, independently deployable services using AWS services such as DynamoDB, RDS, SQS, Lambda, API Gateway, and others. Build, deploy, and manage applications using AWS services such as DynamoDB, RDS, SQS, Lambda, API Gateway, and others. Automated Testing: Create and maintain automated unit, integration, contract, and end-to-end tests across microservices and UI layers. CI/CD Pipelines: Use GitHub Actions to implement and maintain CI/CD pipelines for both backend services and front-end applications. Production Debugging & Optimization: Diagnose and resolve production issues in distributed systems, including service-to-service communication, CPU/memory/network bottlenecks, and AWS service performance. Collaboration & Communication: Work closely with product managers, tech leads, and other engineers to deliver reliable, maintainable, and scalable solutions. Communicate technical decisions clearly to both technical and non-technical stakeholders. Qualifications: Experience: Proven track record in designing and building distributed applications. Required Technical Skills: Strong proficiency in backend service development (C#/.NET preferred, but open to other modern server-side languages). Strong proficiency in TypeScript and React for front-end UI. Hands-on experience with AWS DynamoDB, RDS, SQS ( or an equivalent cloud provider) in production environments. Experience with microservices patterns (service discovery, API gateway, messaging/queueing, data partitioning). Experience with automated testing at multiple levels. Strong Git skills and hands-on experience with GitHub Actions for CI/CD. Strong troubleshooting skills for distributed systems in production. Solid understanding of cloud-native architecture and AWS best practices. Soft Skills: Excellent verbal and written communication. Strong collaboration skills in cross-functional teams. Analytical mindset with high attention to detail. Preferred Qualifications: Familiarity with containerization (Docker) and experience defining AWS infrastructure using CloudFormation (or AWS CDK) to support predictable and repeatable environments. Experience with performance tuning and designing scalable solutions. 100% employer-paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401K Flexible working arrangements - Remote work Company paid Life Insurance, LTD/STD A culture of continuous improvement where you can grow your career and get coaching No visa sponsorship is available for this position