You as a Data Engineer will be focused on developing various Services/Platform components and ETLs using Java, Spring boot etc.
Responsibilities:- 5+ years of software development experience designing and building full-stack applications, with hands-on work across frontend (e.g., React, Next.js, Angular, Vue) and backend (e.g., APIs, microservices, data layers)
5+ years of hands-on development with modern programming languages (e.g.,Python preference, FastAPI, TypeScript, JavaScript, Kotlin )
5+ years of cloud architecture and solution implementation experience on AWS or comparable cloud platforms
3+ Experience with Infrastructure as Code (e.g., Terraform preferred, AWS CDK, CloudFormation), CI/CD pipelines and DevOps practices
5+ Background in asynchronous API design and implementation (REST, GraphQL, gRPC) and identity protocols (OpenID Connect, OAuth 2.0)
5+ Experience with distributed systems, event-driven architectures, and microservices patterns at scale
3+ Familiarity with observability and monitoring practices (e.g., OpenTelemetry, CloudWatch, Datadog, Appinsight, Loganalytics) with a focus on operational excellence
3+ Unit testing framework - e.g pytest,nunit. integration testing end to end. (backend testing)
5+ Application security framework (e.g blackbox)
3+ Role based authentication and authorization: jwt token,EntraID, Active Directory
3+ DB optimization, session management.
Experience building applications that integrate generative AI or large language model capabilities (e.g., RAG, chat interfaces, agent workflows,
LLM-powered features)
Experience using AI-assisted development tools as part of the software development workflow (e.g. github-copilot)
Experience of AI agent architectures, orchestration patterns, and emerging protocols (e.g., MCP, A2A) with hands-on experience building multi-agent systems
Experience with agentic software development methodologies — using AI agents to accelerate development workflows including coding,
testing, debugging, and code review
Build and develop technical work outputs for each work package
Implement user interfaces and integration layers for AI agents
3 Develop APIs and data pipelines connecting AI systems to operational platforms
Build monitoring and observability solutions for AI applications
Implement DevOps automation and CI/CD pipelines
Support SDLC automation initiatives and tooling integration
Technical Skills
Strong experience with modern web frameworks (React) and backend development (Python, Node.js) Proficiency in API development (REST, GraphQL) and microservices architectures Knowledge of AWS services (Lambda, ECS, API Gateway, CloudFormation, CDK) Experience with DevOps tools and CI/CD pipelines (Bonus) Familiarity with AI/ML application integration patterns
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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