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indeed

Associate Softeware Engineer

Finastra
Maharashtra, IND
Full-time
Hybrid
Discovered 3 weeks ago
JavaObject-oriented programmingRESTful APIsSpring BootSQLDatabases and data-access patterns

Full Job Posting

Role overview

Associate Software Engineer on Finastra’s Platform Engineering team, contributing to infrastructure components, shared platform services, and microservice foundations.

Work with backend technologies, cloud-native platforms, and distributed systems to build scalable, resilient, and secure solutions.

Key responsibilities

  • Develop Kubernetes-based microservices, backend services, and shared platform capabilities.
  • Build API Gateway integrations, messaging adapters, caching, auditing, and observability features.
  • Support integrations with Generative AI and LLM services and use AI-assisted development tools.
  • Collaborate across engineering and product teams; write and review high-quality, tested code.
  • Troubleshoot application, platform, and infrastructure issues; support CI/CD, deployment automation, and monitoring.
  • Contribute to design reviews, technical discussions, and platform modernization.

Technology stack

  • Technologies include Java, Spring Boot, Docker, Kubernetes, Microsoft Azure, Oracle, relational databases, Kafka, MQ, API Gateway, and security frameworks.
  • Additional tools include ELK, Prometheus, Grafana, CI/CD and DevOps tooling, Generative AI platforms, and AI-assisted development tools.

Required qualifications

  • 1–2 years of professional software development experience; strong foundation in Java and object-oriented programming.
  • Experience building RESTful APIs with Spring Boot or similar; understanding of databases, SQL, and data-access patterns.
  • Familiarity with design principles, testing methodologies, version control, microservices, distributed systems, containers, Kubernetes, cloud, and deployment practices.
  • Strong analytical, problem-solving, and debugging skills; effective communication and collaboration; willingness to learn.

Preferred qualifications

  • Exposure to Azure or other public clouds; Kafka, MQ, or messaging integrations; CI/CD and DevOps; monitoring, observability, and logging tools.
  • Experience with AI-powered developer tools such as GitHub Copilot, or interest in Generative AI, LLMs, and AI-enabled software.

Benefits

  • Benefits include flexibility and hybrid working arrangements, well-being support, insurance and retirement plans, volunteering opportunities, inclusion communities, career development, and recognition.
  • Specific benefits may vary by location.

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