Associate Softeware Engineer
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 Skills for This Role
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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