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 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).