About the Role: We are looking for a skilled senior Full stack engineer to join our team and contribute across backend microservices, Angular based UI, cloud platforms, and automation pipelines
Responsibilities
Task Description: Key Responsibilities:
- Design, develop, and maintain scalable backend services using Java & Spring Boot.
- Build rich, modular, responsive web applications using Angular & TypeScript.
- Work with SQL/NoSQL databases, optimize queries, and manage data integration.
- Develop and consume RESTful APIs and work with event/messaging systems.
- Contribute to CI/CD pipelines, containerized deployments, and cloud environments.
- Participate in Agile ceremonies, architecture discussions, and technical planning.
- Mentor junior developers and help uplift coding practices and code quality in the team.
- Leverage AI-assisted development tools to improve productivity and technical outcomes.
- Take ownership of complex technical areas without handholding
Qualifications
Minimum Qualifications:
- 8 - 11 years of hands-on software development experience with Java, Spring Boot, and object-oriented design.
- 6+ years of UI development experience with Angular, TypeScript, JavaScript, HTML/CSS.
- Strong understanding of core engineering concepts: design patterns, algorithms, data structures.
- Practical experience with Docker, Kubernetes, and CI/CD tools (Jenkins, GitHub Actions, etc.).
- Hands-on with cloud platforms like Azure/OpenShift. Experience deploying and operating microservices on RedHat OpenShift (Routes/Services, ConfigMaps/ Secrets, resource requests/limits, readiness/liveness probes, HPA) is preferred
- Strong experience building and consuming REST APIs and working with microservices.
- Experience working with PostgreSQL, Oracle, MongoDB and ORM frameworks (JPA, Hibernate).
- Familiarity with Git workflows, logging frameworks, build tools (Maven/Gradle).
- Strong analytical, debugging, and problem‑solving skills.
Preferred Qualifications:
- Experience in Agile teams with exposure to leadership or mentorship.
- Working knowledge of asynchronous messaging (Kafka, RabbitMQ).
- Hands-on experience with Elasticsearch, Kibana, Grafana, ELK stack.
- Performance tuning skills across API, database, and front-end layers.
- Experience using modern engineering AI tools (e.g., GitHub Copilot, code assistants).
- Exposure to agentic AI concepts (LLM-based automation, n8n, RAG frameworks) is a plus.
- Strong communication and collaboration skills.