API Developer (DW US to India Offshoring)

Job description

Company Description Company Description At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA. Job Description Position: Reporting to the Manager, Software Engineering, we are seeking a mid-level API Developer to design, build, and operate cloud‑native, containerized microservices and APIs. You will own end‑to‑end API delivery—from design and security to CI/CD and runtime observability—while partnering with data/ML teams to integrate AI/ML services, including Generative AI and RAG workflows. RESPONSIBILITES: API & Microservices Design Design and implement RESTful and GraphQL services using Python (FastAPI, Flask, Django) and Node.js. Apply 12‑factor and microservices principles (idempotency, backward compatibility, versioning, pagination, error models). Build asynchronous APIs (AsyncIO) for high‑throughput, low‑latency use cases. Define and maintain OpenAPI/Swagger specs; generate SDKs and developer docs. Cloud‑Native & Containerization Containerize services with Docker; build lean, secure images (multi‑stage builds, non‑root users). Orchestrate deployments on Kubernetes (Helm charts, Operators, health checks, HPA/auto‑scaling). Implement service discovery, config management, and secrets management (Vault, AWS Secrets Manager). Leverage AWS for API workloads: API Gateway, ALB/ELB, EC2/ECS/EKS, Lambda, S3, CloudFront; basic familiarity with GCP (Cloud Run, Pub/Sub) and Azure (App Service, AKS) is a plus. Reliability, Observability & Performance Build CI/CD pipelines with GitHub Actions, Jenkins, ArgoCD (linting, tests, SCA, image scanning, progressive delivery). Implement monitoring, logging, and tracing using Prometheus, Grafana, Loki, Jaeger, OpenTelemetry. Optimize performance with caching (Redis/ElastiCache), load balancing, and connection pooling; conduct load and latency testing. Establish SLIs/SLOs, alerting, and on‑call runbooks; drive incident postmortems and reliability improvements. Security & Compliance Enforce zero‑trust and least privilege (IAM), JWT/OAuth2/OIDC with AWS Cognito; TLS automation via Let’s Encrypt. Apply rate limiting, throttling, WAF/Shield, and input validation; maintain GDPR/HIPAA alignment and audit evidence. Data, Messaging & Integration Integrate with SQL (PostgreSQL, MySQL, Snowflake) and NoSQL (MongoDB, DynamoDB, Redis). Build event‑driven integrations via Apache Kafka and RabbitMQ; support idempotent consumers and exactly‑once semantics where applicable. Collaborate with data engineering on Airflow/dbt‑driven pipelines and PySpark jobs that expose API endpoints. AI/ML & Generative AI API Integration Expose and operationalize ML models via APIs (batch/real‑time), integrating MLflow (model registry) and Kubeflow (pipelines/serving). Implement model serving patterns (canary, blue‑green, shadow) and feature store access. Build Generative AI and RAG endpoints using Amazon Bedrock and model providers (e.g., Anthropic Claude), including: Embedding generation, vector store integration, Prompt/response governance, guardrails, and PII redaction, Model observability (latency, quality, drift) and safe rollback. Create reusable API abstractions for prompt orchestration, tool‑use, and policy‑based routing to multiple models. Collaboration & Quality Work closely with product managers and cross-functional teams to deliver software solutions. Participate in agile development processes including design, implementation, and deployment. Write technical documentation and contribute to end-user guides. REQUIREMENTS: 3–5 years of experience building production APIs/microservices. Proficiency in Python (FastAPI/Flask/Django) and JavaScript/TypeScript (Node.js). Hands‑on experience with Docker, Kubernetes (Helm, Operators), and AWS for API workloads. Strong knowledge of REST/GraphQL design, OpenAPI, and OAuth2/OIDC. CI/CD expertise with GitHub Actions/Jenkins/ArgoCD; scripting in Python/Bash. Observability: Prometheus, Grafana, Loki, Jaeger, OpenTelemetry. Security best practices: input validation, secrets management, TLS, rate limiting; familiarity with GDPR/HIPAA. Experience with API Gateway, service mesh (Istio/Linkerd), and sidecar patterns. Exposure to MLflow, Kubeflow, Bedrock, Claude, and RAG architectures. Familiarity with Kafka/RabbitMQ, Airflow/dbt, PySpark. Knowledge of OpenSearch, ElastiCache/Redis, PostgreSQL/MySQL/Snowflake. Performance tuning and cost optimization (autoscaling, spot/Graviton, CDN strategies). Qualifications EDUCATIONAL QUALIFICATIONS Bachelor's degree in Engineer, Technology, Computer Science, Science 5-7 years relevant industry experience (Healthcare, Pharmaceutical Consulting, Management Consulting, Hospital systems, Payers, Enterprise level data-analytical solutions) Additional Information All your information will be kept confidential according to EEO guidelines. Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA. From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility. Follow us on LinkedIn | Twitter