Sr. Full Stack Software Engineer

Exp: 13+ Yrs

Job responsibilities

• Leads end-to-end delivery of full stack solutions using React, Java Spring Boot, GraphQL/REST, and AWS-managed services, from design through production support.
• Drives architecture and design reviews, defining service boundaries, API contracts,  data models, and integration patterns.
• Develops secure, high-quality, production-grade code; conducts thorough code reviews; sets and enforces engineering standards.
• Builds and maintains highly available and scalable services with strong operational excellence: reliability, performance, cost awareness, and maintainability.
• Implements and governs authentication/authorization using OIDC/OAuth2, token validation, scopes/claims, and service-to-service security patterns.
• Establishes robust observability practices (structured logging, metrics, tracing), incident response readiness (runbooks).
• Evaluates vendor and internal solutions (including architectural fit, security posture, scalability, and operability) and guides adoption decisions.
• Partners with Product and UX to deliver outcomes; translates requirements into technical plans and milestones; proactively manages trade-offs.

Required qualifications, capabilities, and skills

• Minimum 8 years applied full stack engineering experience delivering and operating production systems; experience as a senior/lead capacity (technical leadership, design ownership).
• React expertise: modern React patterns, TypeScript, state management, component design systems, performance optimization, and responsive UI development.
• Java Spring Boot expertise: building APIs, dependency injection, validation, error handling, and performance tuning.
• GraphQL proficiency: schema design, resolvers, federation/composition patterns (where applicable), query performance (N+1 mitigation, caching), and API governance/versioning strategy.
• REST proficiency: Open API-style contract design, pagination/filtering, idempotency, backward compatibility, and consumer-driven API evolution.
• OIDC/OAuth2: hands-on implementation with JWTs, refresh/access token flows, scopes/claims, secure session patterns, and least-privilege access control.
• AWS experience (hands-on): designing, deploying, and operating cloud-native applications; strong understanding of IAM, networking basics, and operational tooling (logs/metrics/alarms).

• Data layer expertise: 
• AWS Aurora PostgreSQL: advanced SQL, indexing, query optimization, migrations, and transactional design.
• AWS Neptune: gremlin, graph modelling, query patterns, and performance considerations for graph workloads.
• Event-driven systems: 
• AWS Kafka (MSK): topics/partitions, consumer groups, schema evolution, ordering/at-least-once semantics, idempotency, retries/DLQs, and operational monitoring.
• CI/CD and quality: 
• Strong Git practices, automated testing (unit/integration/contract/e2e), code quality gates, and release confidence practices (feature flags, progressive rollout where applicable).
• AI-assisted engineering (MUST): 
• Demonstrated proficiency using Claude Code and/or GitHub Copilot to accelerate development, debugging, refactoring, test generation, and documentation—while ensuring correctness, security, and maintainability (e.g., validating outputs, avoiding sensitive data leakage, and adhering to team standards).

Preferred qualifications, capabilities, and skills

• Infrastructure as Code (Terraform/CloudFormation/CDK) and deployment automation patterns.
• Containerization and orchestration experience (Docker, ECS/EKS) depending on platform direction.
• Advanced security practices: threat modelling, OWASP Top 10 mitigation, secrets management, dependency hygiene.
• Experience defining platform standards: API governance, event contracts, service templates, and reliability SLOs/SLIs.
• Prior experience integrating with Oracle HCM.