API Developer (DW US to India Offshoring)

Position: Reporting to the Manager Software Engineering we are seeking a mid-level API Developer to design build and operate cloudnative containerized microservices and APIs. You will own endtoend API deliveryfrom design and security to CI/CD and runtime observabilitywhile 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 .
• Apply 12factor and microservices principles (idempotency backward compatibility versioning pagination error models).
• Build asynchronous APIs (AsyncIO) for highthroughput lowlatency use cases.
• Define and maintain OpenAPI/Swagger specs; generate SDKs and developer docs.

CloudNative & Containerization

• Containerize services with Docker; build lean secure images (multistage builds nonroot users).
• Orchestrate deployments on Kubernetes (Helm charts Operators health checks HPA/autoscaling).
• 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 oncall runbooks; drive incident postmortems and reliability improvements.

Security & Compliance

• Enforce zerotrust and least privilege (IAM) JWT/OAuth2/OIDC with AWS Cognito; TLS automation via Lets 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 eventdriven integrations via Apache Kafka and RabbitMQ; support idempotent consumers and exactlyonce semantics where applicable.
• Collaborate with data engineering on Airflow/dbtdriven pipelines and PySpark jobs that expose API endpoints.

AI/ML & Generative AI API Integration

• Expose and operationalize ML models via APIs (batch/realtime) integrating MLflow (model registry) and Kubeflow (pipelines/serving).
• Implement model serving patterns (canary bluegreen 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 tooluse and policybased 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:

• 35 years of experience building production APIs/microservices.
• Proficiency in Python (FastAPI/Flask/Django) and JavaScript/TypeScript ().
• Handson 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

• Bachelors 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 EVERSANAs 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 ones identity. All of our employees points of view are key to our success and inclusion is everyones responsibility.

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Remote Work :

No

Employment Type :

Full-time