We are seeking a hands-on Kubernetes/Java Developer to join the Polaris Program, a strategic initiative designed to deliver a holistic architectural framework for post-trade and real-time risk/monitoring systems. The program aims to standardize integration between low-latency trading environments and post-execution platforms - focusing on scalability, resiliency, recoverability, manageability, simplicity, performance, time-to-market, and cost optimization.

As part of this team, you will design and build high-performance distributed systems, modernize application infrastructure, and help shape the future of a front-to-back architecture for real-time financial systems.

Key Responsibilities :

- Design and implement high-performance messaging middleware and frameworks.

- Build resilient, scalable, and containerized applications leveraging Kubernetes and Docker.

- Collaborate with development and infrastructure teams to migrate applications from traditional infrastructure to Kubernetes environments.

- Automate deployment pipelines using CI/CD tools like Jenkins or GitHub Actions.

- Improve SDLC processes through a shift-left approach-enhancing testing, configuration, and developer experience.

- Implement robust monitoring and observability solutions using tools such as Prometheus, Grafana, and ELK Stack.

- Troubleshoot, optimize, and document common solutions and best practices for containerized systems.

- Contribute to continuous improvement in cost, quality, and performance optimization.

Core Skills & Experience :

- 5 - 7+ years of professional experience in software development, particularly with Java and distributed systems.

- Strong hands-on experience with Kubernetes and Docker for container orchestration and deployment.

- Expertise in CI/CD pipelines (e.g., Jenkins, GitHub Actions) and Infrastructure as Code.

- Practical knowledge of streaming and messaging systems such as Kafka.

- Familiarity with monitoring tools (Prometheus, Grafana, ELK stack).

- Solid understanding of cloud computing, DevOps principles, and microservices architecture.

- Knowledge of Python and stream processing technologies is a plus.

- Strong analytical, problem-solving, and communication skills with a proactive mindset.

Preferred Technologies :