C the Signs

Oversee and improve the reliability, scalability, and automation of cloud platform operations across GCP and AWS. | Deep hands-on experience with GCP, Terraform, CI/CD, and supporting AWS environments, with at least 8 years in DevOps or platform engineering. | We are looking for a hands-on Lead CloudOps Engineer to oversee the reliability, scalability, automation, and day-to-day operations of our GCP-based cloud platform. You will drive infrastructure automation, improve developer workflows, enhance observability, and ensure secure, stable platform operations. While GCP is the primary environment, the role includes operational responsibility for an existing AWS enterprise environment, requiring the ability to troubleshoot issues, maintain existing systems, and support partner teams without owning major AWS architectural redesigns. This position is ideal for someone who thrives in cloud-native environments, enjoys automation, and balances engineering rigor with operational excellence. This is a founding member of the CloudOps team in the US and has a potential to grow into future leadership and management positions. ResponsibilitiesGCP Platform Operations & Engineering Lead day-to-day monitoring and management of GCP infrastructure, focusing on reliability, uptime, security, performance, and compliance Manage GKE clusters, including cluster lifecycle, node pools, workload deployment, and operational best practices. Implement and maintain GCP networking: VPCs, firewall rules, service networking, and private connectivity. Support data and application teams using GCP services such as BigQuery, Cloud SQL, Pub/Sub, Cloud Storage, Cloud Run. Infrastructure as Code & Automation Own and maintain Terraform configurations for GCP and AWS using reusable modules, remote state, policy checks, and automation pipelines. Automate environment provisioning, scaling, and configuration with CI/CD tools such as Cloud Build, GitHub Actions, ArgoCD, or Jenkins. Build tooling and workflows that improve developer productivity (automated builds, deployments, secrets management, ephemeral environments). Monitoring, Observability & Incident Response Build and enhance observability stacks using Cloud Monitoring, Prometheus/Grafana, ELK/Elastic, or OpenTelemetry. Lead incident response, troubleshooting, RCA generation, and post-incident improvement efforts. Define and manage SLOs, error budgets, and operational runbooks. Security, Compliance & Cloud Governance Ensure secure configurations across cloud services, Kubernetes workloads, secrets storage, and network boundaries. Implement guardrails and compliance automation using IAM best practices, GCP Organization Policies, and Terraform checks. Work with security and compliance teams to meet HIPAA, HITRUST, SOC 2, or internal audit requirements. AWS Operational Support (backup support for existing Platform Only) Maintain stability of a pre-existing AWS environment by performing tasks such as: Reviewing IAM roles and security posture Supporting workloads on EC2, ECS, EKS, RDS, S3 Troubleshooting infrastructure or networking issues Managing configurations, upgrades, and patching Assist teams that rely on AWS-hosted systems and ensure smooth integration with GCP-centric operations. Make small-to-medium improvements or automation updates for AWS infrastructure using Terraform or CI/CD workflows. Leadership & Cross-Team Collaboration Mentor DevOps, CloudOps, and Platform Engineers through pair programming, reviews, and best-practice sharing. Partner with development, data, and security teams to build highly reliable, cloud-native applications and pipelines. Establish operational standards, documentation, and playbooks for cloud operations. 8+ years of DevOps, CloudOps, or platform engineering experience. Deep hands-on experience with GCP, including: GKE, workload identity, cluster networking VPC design, firewalls, load balancers BigQuery, Pub/Sub, Cloud SQL, Cloud Storage Cloud Run, Cloud Functions IAM, KMS, Secret Manager Strong expertise with Terraform, including modules, workspaces, and governance patterns. Strong CI/CD experience with Git-based workflows and pipeline automation. Solid understanding of Linux, networking basics, containerization, and distributed systems. Experience supporting production workloads in a regulated environment (HIPAA, HITRUST, SOC 2 or similar). AWS (Operational Proficiency Required) Practical experience supporting AWS operations (not architecture-heavy), including: EC2, EKS, and ALB/NLB S3, RDS, CloudWatch IAM troubleshooting Network troubleshooting (VPC, Security Groups, Route 53) Comfortable maintaining and improving existing AWS infrastructure. Preferred Experience with GitOps tools (ArgoCD, Flux). Familiarity with service mesh (Istio, Anthos) or advanced networking. Experience with policy-as-code (OPA/Gatekeeper or Sentinel). Background with FinOps/cost optimization. Experience building internal developer platforms or platform engineering teams. Work Authorization: Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa Why Join Us? Joining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact. Benefits: Competitive salary and benefits package. Flexible working arrangements (remote or hybrid options available). The opportunity to work on life-changing AI technology that directly impacts patient outcomes. Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity. Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Lead the development of scalable, high-performance mobile applications for healthcare using React Native, collaborating across teams and mentoring junior developers. | Requires 5+ years of mobile development experience, proficiency in React Native, native mobile development experience, and familiarity with mobile architecture, security, and CI/CD pipelines. | This a Full Remote job, the offer is available from: Massachusetts (USA) C the Signs is dedicated to transforming the future of cancer care through our innovative AI-powered platform. We empower healthcare professionals and patients with the tools and information needed to effectively recognize cancer symptoms, ensuring timely treatment and improved outcomes. As we expand our impact into new markets, we are looking for a passionate React Native Developer to join our talented team. About the Role As a React Native Developer, you will take a leadership role in building and enhancing our mobile applications, ensuring seamless experiences for healthcare professionals and patients on iOS and Android platforms. You will be responsible for designing and implementing high-performance, scalable mobile solutions while collaborating with cross-functional teams to deliver exceptional user experiences. Your expertise will be instrumental in establishing mobile development best practices, optimizing app performance, and ensuring our mobile platform meets the evolving needs of our users. • Design, develop, and maintain robust mobile applications using React Native and TypeScript. • Lead mobile development projects from conception to deployment, ensuring quality and adherence to timelines. • Architect and implement scalable, maintainable mobile solutions that integrate seamlessly with backend services. • Develop intuitive, responsive user interfaces that provide exceptional user experiences across devices and screen sizes. • Collaborate with product managers, designers, backend engineers, and other stakeholders to translate requirements into technical specifications. • Mentor and guide junior developers, fostering a collaborative and growth-oriented team culture focused on mobile excellence. • Stay up-to-date with industry trends and emerging mobile technologies to continuously improve our applications. Requirements • 5+ years of experience as a Mobile Developer, with at least 3+ years focused on React Native development. • Proven experience designing and building scalable mobile applications deployed to the App Store and Google Play. • Strong proficiency in React Native, React (v.18), TypeScript, and JavaScript (ES6+). • Experience with native mobile development (iOS/Swift or Android/Kotlin) for building custom native modules. • Strong understanding of RESTful APIs, mobile architecture patterns, and state management solutions (Redux, MobX, or similar). • Proficiency in mobile CI/CD pipelines and deployment processes for iOS and Android. • Experience with mobile testing frameworks (Jest, Detox, or similar) and debugging tools. • Solid understanding of mobile security principles, data encryption, and best practices. • Experience with performance optimization, memory management, and mobile app profiling. • Experience with Agile development methodologies. • Excellent problem-solving and analytical skills, with a strong attention to detail. • Strong communication and interpersonal skills, capable of presenting ideas clearly to technical and non-technical audiences. • Ability to thrive in a fast-paced, collaborative environment and adapt to changing priorities. • Experience in healthcare or health-tech mobile development is a plus. • Experience with offline-first architecture and data synchronization is also a plus. Benefits • Health Care Plan (Medical, Dental & Vision) • Retirement Plan (401k, IRA) • Life Insurance (Basic, Voluntary & AD&D) • Paid Time Off (Vacation, Sick & Public Holidays) • Work From Home This offer from "C the Signs" has been enriched by Jobgether.com and got a 72% flex score.

The Machine Learning Engineer will develop and deploy large language and machine learning models, focusing on data preprocessing, model training, and fine-tuning using healthcare datasets. This role involves collaboration with data scientists and clinicians to integrate models into production systems. | Candidates should have a Bachelor's or Master's degree in a relevant field and at least 5 years of experience in Machine Learning Engineering. Proficiency in Python and experience with large-scale data preprocessing and healthcare data are essential. | Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing, model training, and fine-tuning using large-scale healthcare datasets. This role requires a strong understanding of Large language models, machine learning principles, data engineering, and experience working with sensitive healthcare data. Key Responsibilities Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine learning model development. This includes handling missing values, outlier detection, feature engineering, and data normalization. Identify, collect, and curate relevant, industry-specific datasets for model retraining. Format data appropriately for the chosen LLM and training pipeline Model Training & Fine-Tuning: Design, train, and fine-tune various LLMs on extensive healthcare data to solve specific clinical or operational problems. Set up and manage the training environment, including GPU instances and required software. Train and fine-tune pre-trained LLMs on the custom dataset to achieve specific goals. Experiment with and fine-tune hyperparameters such as learning rate, batch size, and training epochs to optimize model performance. Integration of structured + unstructured data (multi-modal/multi-input models) Model Evaluation & Optimization: Evaluate model performance using appropriate metrics, identify areas for improvement, and implement optimization strategies. Pipeline Development: Develop and maintain robust and scalable data and ML pipelines for model training, inference, and deployment. Collaboration: Work closely with data scientists, clinicians, and software engineers to understand requirements, integrate models into production systems, and ensure data privacy and security compliance. Research & Development: Stay up-to-date with the latest advancements in machine learning and healthcare AI, and explore new technologies and methodologies to enhance our solutions. Documentation: Maintain clear and comprehensive documentation of models, data pipelines, and experimental results. Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. Experience: 5+ years of experience in Machine Learning Engineering or a similar role. Proven experience with large-scale data preprocessing, LLM/model training, and fine-tuning. Experience with distributed training (PyTorch Distributed, DeepSpeed, Ray, Hugging Face Accelerate). Experience with GPU/TPU optimization, memory management for large language models. Experience working with healthcare data is highly desirable. Technical Skills: Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). Strong understanding of various machine learning algorithms,Large Language Models, and deep learning architectures. Experience with cloud platforms (e.g., GCP, AWS) and distributed computing frameworks (e.g., Spark) is a plus. Familiarity with MLOps practices and tools. Soft Skills: Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to work independently and as part of a team in a fast-paced environment. Why Join Us? Joining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact. Benefits: Competitive salary and benefits package. Flexible working arrangements (remote or hybrid options available). The opportunity to work on life-changing AI technology that directly impacts patient outcomes. Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity. Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

The Data Engineer will develop and fine-tune data for LLMs and machine learning models, managing the entire data lifecycle. Responsibilities include designing scalable data pipelines, ensuring data quality, and collaborating with data scientists and engineers. | Candidates should have a bachelor's degree in a related field and proven experience as a Data Engineer, particularly with big data technologies. Strong programming skills and experience with cloud services are essential. | Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of healthcare data. You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement Key Responsibilities Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning. Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets. Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets. Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity. Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models. Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA). Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability. Document data engineering processes, data models, and data dictionaries. Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning. Required Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer, with a focus on big data technologies. Strong proficiency in programming languages such as Python, Scala, or Java. Extensive experience with data warehousing, ETL processes, and data modeling. Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services. Hands-on experience with big data frameworks like Apache Spark for distributed processing. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication and interpersonal skills. Preferred Master's degree in a related field. Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7). Familiarity with machine learning concepts and LLM fine-tuning processes. Experience with data orchestration tools (e.g., Apache Airflow). Why Join Us? Joining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact. Benefits: Competitive salary and benefits package. Flexible working arrangements (remote or hybrid options available). The opportunity to work on life-changing AI technology that directly impacts patient outcomes. Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity. Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Design and develop scalable backend microservices with architectural principles and collaborate cross-functionally to ensure production readiness and operational safety. | 8+ years backend experience with Java and microservices, Docker/container knowledge, domain-driven design expertise, and experience with deployment strategies and feature flagging. | We are looking for a thoughtful and experienced Senior Software Engineer to contribute to the design and development of resilient, scalable backend systems that power mission-critical enterprise applications. You’ll play a key role in shaping the architecture and delivery processes behind a modern, microservices ecosystem. This role is ideal for someone who thrives at the intersection of technical excellence and product impact; someone who doesn’t just ship code, but designs systems with long-term clarity, operational safety, and customer outcomes in mind. You’ll be responsible for applying architectural principles such as domain-driven design, enabling outageless deployments, and integrating practices like feature flagging and change isolation to support high-velocity, low-risk software delivery. You’ll work closely with cross-functional partners across engineering, product, and DevOps to ensure our services are well-structured, observable, and production-ready from day one. While the focus is backend, any experience with frontend technologies is a bonus; especially when collaborating on full-stack solutions. Technical Experience 8+ years of backend engineering experience, with deep expertise in Java and modern frameworks (e.g., Spring Boot, Micronaut, Quarkus). Proven success designing and maintaining microservices in production environments. Experience building event-driven systems and asynchronous communication patterns. Hands-on knowledge of Docker and containerized service development. Architecture & Delivery Expertise Strong foundation in domain-driven design (DDD) and modular system design. Demonstrated success implementing outageless deployments and release strategies like canary, progressive rollout, or blue/green. Experience implementing and managing change isolation using feature flag systems in production environments. Team & Product Mindset Product-focused mindset that can balance engineering quality with user impact and iterative delivery. Experience mentoring other engineers and driving alignment on architecture and delivery strategy. Skilled communicator who can break down technical decisions for stakeholders and lead through influence. Preferred Qualifications Experience with agentic systems and communication protocols is a plus Experience with cloud-native infrastructure and CI/CD in AWS, GCP, or Azure. Exposure to infrastructure-as-code tools like Terraform or Pulumi. Familiarity with observability platforms (e.g., Grafana, Prometheus, ELK). Effective in using AI powered code editors / IDE such as Cursor, Windsurf, etc Frontend experience (e.g., with React and TypeScript) is a plus Background in systems that support high availability, auditability, and compliance. Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Work From Home