JD:

Responsible for Design and implement scalable backend APIs and microservices using Java 17+, Spring Boot, Spring Security, and REST/gRPC APIs.
Implement robust authentication, authorization, and policy enforcement using Spring Security, OAuth2/OIDC, and JWT.
Integrate with relational and NoSQL data stores (MS SQL, MongoDB) and experiment with and operationalize Vector DBs for AI/semantic search use cases.
Build secure authentication/authorization flows using OAuth2/OIDC, JWT, RBAC/ABAC.
Build or support frontends in React and Angular (component design, state management, secure API integration).
Design and implement event-driven systems leveraging Kafka for messaging and streaming workloads.
Work with stream processing technologies such as Apache Flink to build real-time data processing and enrichment pipelines.
Integrate LLM features using LangChain/LangGraph (RAG, tools/agents, function calling), Chainlit for prototyping UIs/demos.
Build Agent AI workflows (planning, memory, retrieval) with Python microservices using FastAPI where appropriate.
Implement Vector DB-backed retrieval and guardrails, prompt templates, evaluation, and observability for LLM features.
Containerize applications using Docker and deploy them to Kubernetes-based environments, ideally including OpenShift (OCP).
Define and maintain CI/CD pipelines using GitHub Actions for build, test, security scanning, and deployments.
Use Helm for managing Kubernetes application manifests and Terraform for provisioning cloud infrastructure (e.g., Azure resources).
Collaborate with cloud engineering teams to optimize performance, cost, and reliability in Azure and/or OCP environments.
Perform application security reviews, threat modeling, and drive remediation activities across the SDLC.
Implement and manage secure secret storage and rotation using Vault/Key Vault or similar secret-management solutions.
Ensure adherence to enterprise security policies, regulatory requirements, and best practices for secure coding and deployment.
Implement metrics and alerts with Prometheus/Grafana; APM via AppDynamics (or equivalent).
Define SLIs/SLOs,



conduct performance/load testing, profiling, and tuning (GC, connection pools, thread pools, queries).
Drive incident response, root cause analysis, and reliability improvements.
Work in a Scrum-based environment, contributing to sprint planning, backlog refinement, daily standups, and retrospectives.
Use Jira (or similar tools) for work tracking, reporting, and continuous improvement across the SDLC.
Provide technical leadership, mentorship, and code reviews to other engineers.
Collaborate with cross-functional teams (security, ops, data, product, QA) to ensure end-to-end delivery quality.
Essential Qualifications

Strong experience with Java (6+ years), Spring, and Spring Boot for building RESTful APIs and microservices.
Hands-on expertise with Spring Security, OAuth2/OIDC, JWT, and role/attribute-based access control.
Experience conducting security reviews, remediating vulnerabilities, and implementing secure coding practices.
Familiarity with mTLS, certificate management, and secure communication patterns.
Strong knowledge of relational databases, especially MS SQL (schema design, queries, performance tuning).
Experience with NoSQL databases such as MongoDB (document modeling, indexing, scaling).
Exposure to Vector Databases and vector search concepts (embeddings, similarity search) for AI use cases.
Practical experience with Kafka (producers/consumers, topics, partitions) and familiarity with stream processing using Flink.
Skilled experience building frontend using React and/or Angular.
Strong skills in TypeScript, modern JavaScript, and responsive UI development.
Ability to design and implement clean, reusable UI components and integrate with backend REST/GraphQL/AI endpoints.
Solid experience with Docker, Kubernetes,



and ideally Red Hat OpenShift (OCP).
Hands-on experience with CI/CD using GitHub Actions (pipelines, workflows, environment promotions).
Experience managing deployments with Helm charts and using Terraform for IaC to provision and manage Azure or other cloud services.
Working knowledge of Azure services relevant to app hosting, data, networking, identity, and observability.
Proficiency in Python for building AI, data, or automation components.
Hands-on experience with Generative AI and LLMs (prompt engineering, model integration, safety considerations).
Experience with one or more AI frameworks: LangChain, LangGraph, FastAPI, and orchestration of multi-step, agent-based workflows.
Experience building AI applications or tools with Chainlit or similar conversational/UX frameworks.
Strong understanding of observability practices; hands-on experience configuring Prometheus & Grafana for metrics and alerts.
Experience with AppDynamics (or similar APM tools) for application performance monitoring and troubleshooting.
Experience designing and executing performance testing strategies for APIs, databases, and UIs, including tooling and analysis.
Strong working experience in Agile/Scrum teams with Jira or similar tools.
Excellent communication skills and ability to work effectively with both technical and non-technical stakeholders.
Proven experience mentoring junior engineers and influencing technical direction.
Desired Qualification

Skills:
Java 17+, Spring Boot 3.x, Spring Cloud, Maven/Gradle, React JS
Python 3.10+, LangChain, LangGraph, Pydantic, embeddings/RAG Flask, FastAPI
MS SQL Server, MongoDB, Vector DB
OAuth2/OIDC, JWT, mTLS, Vault, Key Vault
Kafka, Flink
CI/CD, Jenkins, Harness and GitHub Actions
Docker, Kubernetes (AKS/OCP)
Scrum, Jira, trunk-based development, automated testing

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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