YipitData

Design, build, and operate shared cloud infrastructure with focus on SRE and DevOps to improve reliability and scalability. | 4+ years in software/infrastructure/SRE with hands-on AWS, Kubernetes, Terraform, and experience operating production systems. | About Us: YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B. We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. Our on-demand insights team uses proprietary technology to identify, license, clean and analyze the data many of the world’s largest investment funds and corporations depend on. For three years and counting, we have been recognized as one of Inc’s Best Workplaces. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency. About the Role: We are hiring a Senior Software Engineer to help modernize, scale, and operate the shared cloud infrastructure that powers YipitData’s data-intensive products, agentic customer experiences, and engineering organization. Reporting to the Head of Cloud Infrastructure, you will drive forward Site Reliability Engineering and DevOps initiatives on mission-critical systems that our customers rely on 24/7. You will work on a modern tech stack built with AWS Cloudformation, Databricks, Kubernetes, and Terraform. This is a hands-on engineering role with meaningful ownership. You will help build reliable, reusable infrastructure capabilities; improve how engineers develop, deploy, observe, and operate cloud technologies; and strengthen our approach to reliability, incident management, disaster recovery, and technology efficiency. You will collaborate closely with platform, application, and data engineers while contributing to a small, high-leverage infrastructure team. The infrastructure team owns shared platforms and capabilities, while adjacent Data Platform, Data Engineering, and application teams own their applications and data products. You will partner with those teams to provide smooth integrations, operational guidance, and dependable infrastructure that helps them move quickly and safely. Please note we expect the Senior Software Engineering to work East Coast hours. As Our Senior Software Engineer You Will: Design, build, and operate shared cloud infrastructure using AWS, Kubernetes, Terraform, Databricks, Cloudflare, and related cloud-native technologies. Deliver SRE and DevOps initiatives that improve reliability, scalability, observability, deployment safety, and operational readiness. Build reusable infrastructure modules, automation, and self-service workflows that reduce manual work and improve the developer experience. Help define and implement service-level indicators, service-level objectives, monitoring, alerting, and error-budget practices for critical systems. Participate in incident response and improve operational outcomes through clear runbooks, effective post-incident reviews, and durable corrective actions. Strengthen disaster-recovery readiness through recovery planning, automation, testing, and remediation of identified gaps. Improve CI/CD workflows and infrastructure delivery so engineering teams receive faster feedback and can deploy confidently. Partner with application, Data Platform, and Data Engineering teams to understand infrastructure needs and help teams operate their workloads effectively. Improve cloud efficiency through thoughtful architecture, capacity planning, Kubernetes resource optimization, cost visibility, and automation. Contribute to technical standards, architecture decisions, documentation, and the evolution of the team’s sustainable 24/7 operating model. You Are Likely To Succeed If: You have 4+ years of relevant software, infrastructure, SRE, platform engineering, or DevOps experience, with hands-on experience using AWS, Kubernetes, Datadog, Databricks, and Terraform in production environments. You have a strong interest in building AI-native and data intensive applications and systems, working closely with Databricks, OpenAI, Anthropic, and open source AI tools to create reliable and efficient AI solutions. You write reliable, maintainable software and automation and are comfortable working across infrastructure, systems, and application boundaries. You have operated business-critical production systems and understand observability, incident response, operational readiness, and root-cause analysis. You have experience improving CI/CD systems, infrastructure as code, deployment workflows, or internal developer platforms. You understand reliability concepts such as SLIs, SLOs, error budgets, capacity planning, and disaster-recovery objectives. Familiarity with observability solutions like Datadog is a plus. You can independently own projects, make sound technical tradeoffs, communicate clearly, and collaborate effectively with engineers across multiple teams. You are motivated by reducing engineering friction and creating reusable solutions rather than repeatedly solving the same problem manually. You are comfortable participating in an on-call or incident-response rotation and helping the team design a sustainable operational model. Experience supporting data-intensive SaaS, analytics, familiarity with big data analytics, or rapidly scaling technology environments is a plus. You hold a Bachelor’s degree or have equivalent practical experience. What We Offer: We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above! The annual base salary range for this position is anticipated to be $168,000 - 193,725. Final compensation may be determined by a number of factors, including, but not limited to, the applicant’s experience, knowledge, skills, abilities, and internal team benchmarks. The compensation package also includes equity. This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, Denver, Mountain View, and Seattle. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. Job Applicant Privacy Notice

Design, build, and operate shared cloud infrastructure and improve reliability and scalability of mission-critical systems. | 4+ years experience with AWS, Kubernetes, Terraform, Databricks, strong software and automation skills, and experience with SRE and DevOps practices. | About Us: YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B. We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. Our on-demand insights team uses proprietary technology to identify, license, clean and analyze the data many of the world's largest investment funds and corporations depend on. For three years and counting, we have been recognized as one of Inc's Best Workplaces. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency. About the Role: We are hiring a Senior Software Engineer to help modernize, scale, and operate the shared cloud infrastructure that powers YipitData's data-intensive products, agentic customer experiences, and engineering organization. Reporting to the Head of Cloud Infrastructure, you will drive forward Site Reliability Engineering and DevOps initiatives on mission-critical systems that our customers rely on 24/7. You will work on a modern tech stack built with AWS Cloudformation, Databricks, Kubernetes, and Terraform. This is a hands-on engineering role with meaningful ownership. You will help build reliable, reusable infrastructure capabilities; improve how engineers develop, deploy, observe, and operate cloud technologies; and strengthen our approach to reliability, incident management, disaster recovery, and technology efficiency. You will collaborate closely with platform, application, and data engineers while contributing to a small, high-leverage infrastructure team. The infrastructure team owns shared platforms and capabilities, while adjacent Data Platform, Data Engineering, and application teams own their applications and data products. You will partner with those teams to provide smooth integrations, operational guidance, and dependable infrastructure that helps them move quickly and safely. Please note we expect the Senior Software Engineering to work East Coast hours. As Our Senior Software Engineer You Will: • Design, build, and operate shared cloud infrastructure using AWS, Kubernetes, Terraform, Databricks, Cloudflare, and related cloud-native technologies. • Deliver SRE and DevOps initiatives that improve reliability, scalability, observability, deployment safety, and operational readiness. • Build reusable infrastructure modules, automation, and self-service workflows that reduce manual work and improve the developer experience. • Help define and implement service-level indicators, service-level objectives, monitoring, alerting, and error-budget practices for critical systems. • Participate in incident response and improve operational outcomes through clear runbooks, effective post-incident reviews, and durable corrective actions. • Strengthen disaster-recovery readiness through recovery planning, automation, testing, and remediation of identified gaps. • Improve CI/CD workflows and infrastructure delivery so engineering teams receive faster feedback and can deploy confidently. • Partner with application, Data Platform, and Data Engineering teams to understand infrastructure needs and help teams operate their workloads effectively. • Improve cloud efficiency through thoughtful architecture, capacity planning, Kubernetes resource optimization, cost visibility, and automation. • Contribute to technical standards, architecture decisions, documentation, and the evolution of the team's sustainable 24/7 operating model. You Are Likely To Succeed If: • You have 4+ years of relevant software, infrastructure, SRE, platform engineering, or DevOps experience, with hands-on experience using AWS, Kubernetes, Datadog, Databricks, and Terraform in production environments. • You have a strong interest in building AI-native and data intensive applications and systems, working closely with Databricks, OpenAI, Anthropic, and open source AI tools to create reliable and efficient AI solutions. • You write reliable, maintainable software and automation and are comfortable working across infrastructure, systems, and application boundaries. • You have operated business-critical production systems and understand observability, incident response, operational readiness, and root-cause analysis. • You have experience improving CI/CD systems, infrastructure as code, deployment workflows, or internal developer platforms. • You understand reliability concepts such as SLIs, SLOs, error budgets, capacity planning, and disaster-recovery objectives. Familiarity with observability solutions like Datadog is a plus. • You can independently own projects, make sound technical tradeoffs, communicate clearly, and collaborate effectively with engineers across multiple teams. • You are motivated by reducing engineering friction and creating reusable solutions rather than repeatedly solving the same problem manually. • You are comfortable participating in an on-call or incident-response rotation and helping the team design a sustainable operational model. • Experience supporting data-intensive SaaS, analytics, familiarity with big data analytics, or rapidly scaling technology environments is a plus. • You hold a Bachelor's degree or have equivalent practical experience. What We Offer: • We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above! • The annual base salary range for this position is anticipated to be $168,000 - 193,725. Final compensation may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, and internal team benchmarks. • The compensation package also includes equity. This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, Denver, Mountain View, and Seattle. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. Job Applicant Privacy Notice

Design, build, and operate shared cloud infrastructure and deliver SRE and DevOps initiatives for mission-critical systems. | 4+ years experience in software, infrastructure, SRE, platform engineering or DevOps with hands-on AWS, Kubernetes, Terraform, Databricks, and strong operational and automation skills. | About Us: YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B. We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. Our on-demand insights team uses proprietary technology to identify, license, clean and analyze the data many of the world's largest investment funds and corporations depend on. For three years and counting, we have been recognized as one of Inc's Best Workplaces. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency. About the Role: We are hiring a Senior Software Engineer to help modernize, scale, and operate the shared cloud infrastructure that powers YipitData's data-intensive products, agentic customer experiences, and engineering organization. Reporting to the Head of Cloud Infrastructure, you will drive forward Site Reliability Engineering and DevOps initiatives on mission-critical systems that our customers rely on 24/7. You will work on a modern tech stack built with AWS Cloudformation, Databricks, Kubernetes, and Terraform. This is a hands-on engineering role with meaningful ownership. You will help build reliable, reusable infrastructure capabilities; improve how engineers develop, deploy, observe, and operate cloud technologies; and strengthen our approach to reliability, incident management, disaster recovery, and technology efficiency. You will collaborate closely with platform, application, and data engineers while contributing to a small, high-leverage infrastructure team. The infrastructure team owns shared platforms and capabilities, while adjacent Data Platform, Data Engineering, and application teams own their applications and data products. You will partner with those teams to provide smooth integrations, operational guidance, and dependable infrastructure that helps them move quickly and safely. Please note we expect the Senior Software Engineering to work East Coast hours. As Our Senior Software Engineer You Will: • Design, build, and operate shared cloud infrastructure using AWS, Kubernetes, Terraform, Databricks, Cloudflare, and related cloud-native technologies. • Deliver SRE and DevOps initiatives that improve reliability, scalability, observability, deployment safety, and operational readiness. • Build reusable infrastructure modules, automation, and self-service workflows that reduce manual work and improve the developer experience. • Help define and implement service-level indicators, service-level objectives, monitoring, alerting, and error-budget practices for critical systems. • Participate in incident response and improve operational outcomes through clear runbooks, effective post-incident reviews, and durable corrective actions. • Strengthen disaster-recovery readiness through recovery planning, automation, testing, and remediation of identified gaps. • Improve CI/CD workflows and infrastructure delivery so engineering teams receive faster feedback and can deploy confidently. • Partner with application, Data Platform, and Data Engineering teams to understand infrastructure needs and help teams operate their workloads effectively. • Improve cloud efficiency through thoughtful architecture, capacity planning, Kubernetes resource optimization, cost visibility, and automation. • Contribute to technical standards, architecture decisions, documentation, and the evolution of the team's sustainable 24/7 operating model. You Are Likely To Succeed If: • You have 4+ years of relevant software, infrastructure, SRE, platform engineering, or DevOps experience, with hands-on experience using AWS, Kubernetes, Datadog, Databricks, and Terraform in production environments. • You have a strong interest in building AI-native and data intensive applications and systems, working closely with Databricks, OpenAI, Anthropic, and open source AI tools to create reliable and efficient AI solutions. • You write reliable, maintainable software and automation and are comfortable working across infrastructure, systems, and application boundaries. • You have operated business-critical production systems and understand observability, incident response, operational readiness, and root-cause analysis. • You have experience improving CI/CD systems, infrastructure as code, deployment workflows, or internal developer platforms. • You understand reliability concepts such as SLIs, SLOs, error budgets, capacity planning, and disaster-recovery objectives. Familiarity with observability solutions like Datadog is a plus. • You can independently own projects, make sound technical tradeoffs, communicate clearly, and collaborate effectively with engineers across multiple teams. • You are motivated by reducing engineering friction and creating reusable solutions rather than repeatedly solving the same problem manually. • You are comfortable participating in an on-call or incident-response rotation and helping the team design a sustainable operational model. • Experience supporting data-intensive SaaS, analytics, familiarity with big data analytics, or rapidly scaling technology environments is a plus. • You hold a Bachelor's degree or have equivalent practical experience. What We Offer: • We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above! • The annual base salary range for this position is anticipated to be $168,000 - 193,725. Final compensation may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, and internal team benchmarks. • The compensation package also includes equity. This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, Denver, Mountain View, and Seattle. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. Job Applicant Privacy Notice

Own features and systems end-to-end including architecture, implementation, and deployment across the full stack while collaborating with stakeholders. | 4+ years of software development experience with proficiency in Python, TypeScript, React, and cloud infrastructure, comfortable in ambiguous environments with AI-accelerated workflows. | About Us YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers — ranging from the world's top investment funds to Fortune 500 companies — depend on to drive high-stakes decisions. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture — recognized by Inc. as a Best Workplace for three consecutive years — emphasizes transparency, ownership, and continuous mastery. What It's Like to Work at YipitData YipitData isn't a place for coasting — it's a launchpad for ambitious, impact-driven professionals. From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Ownership That Matters: You'll lead high-impact projects with real business outcomes Rapid Growth: We compress years of learning into months Merit Over Titles: Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high — always with purpose and intention About The Role We're looking for a seasoned, high-output engineer who can operate within our product portfolio — from our Public Investor platform and Signals application to our AI-powered customer insights agent. You'll execute on well-defined work, but the expectation is that you go well beyond that — proactively identifying opportunities, improving systems, and driving outcomes that move the business forward. You'll be responsible for production-grade systems that our customers and internal teams depend on daily. That means being responsive, reliable, and an excellent communicator — both when things are going well and especially when they're not. The ideal candidate treats AI coding tools as core infrastructure for how they work — not a novelty. You've shipped full-stack applications, you're comfortable navigating ambiguity, and you have a bias toward action that compounds across a small team. This is a remote-friendly opportunity that can sit in NYC (where our headquarters are located), one of our office hubs (Austin, Miami, or Mountain View), or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. As a Senior Software Engineer, You Will Own features and systems end-to-end across multiple product surfaces — architecture, implementation, deployment, and iteration Design systems that are clean, maintainable, and built to scale — you know how software should be structured Work directly with stakeholders across engineering, product, data, revenue, and customers to translate business problems into shipped software Drive initiatives across teams — you're not waiting for a PM to write a spec; you're in the room shaping what gets built and why Use AI tools (Claude Code, Cursor, Codex) as a daily force multiplier — for implementation, code review, testing, documentation, and exploration Operate across the full stack: backend services, frontend applications, data pipelines, and infrastructure Make pragmatic technical decisions that balance speed, quality, and maintainability in a fast-moving environment Raise the bar for the engineering team through code quality, tooling improvements, and knowledge sharing You Are Likely To Succeed If You have 4+ years of hands-on software development experience with a proven track record of shipping customer-facing applications — and the impact to show for it You are stack-flexible: comfortable working across Python, TypeScript/React, and cloud infrastructure (AWS, Databricks). You learn new tools fast and don't let unfamiliar tech slow you down You have an AI-accelerated workflow — you actively use AI coding tools to ship faster, not as an experiment, but as how you work every day You thrive in ambiguity — you can take a vague business problem, break it down, and deliver a working solution without heavy-handed direction You are a strong communicator who can work directly with non-technical stakeholders, translate between business needs and engineering tradeoffs, and drive alignment You are responsive and reliable — you take ownership of production systems and communicate proactively, especially under pressure You have a bias toward action and ownership — you see a problem, you fix it; you see an opportunity, you ship it You hold a Bachelor's or Master's degree in Computer Science, STEM, or a related technical discipline What We Offer Our compensation package includes comprehensive benefits, perks, and a competitive salary: Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more Your growth at YipitData is determined by the impact you make, not by tenure, unnecessary facetime, or office politics The annual on-target earnings for this position is anticipated to be up to $1700K - $190K. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks This role may be performed fully remotely within the United States. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer. Job Applicant Privacy Notice