About the Role :
We’re looking for an experienced Backend Engineer to help design and build the next-generation Embedded Analytics platform. In this role, you’ll architect and develop scalable, distributed systems using Java and modern backend technologies, focusing on creating intuitive APIs and seamless integrations. You’ll work closely with cross-functional teams to deliver high-performance, developer-friendly solutions while driving best practices in architecture, testing, and CI / CD. This is a hands-on, impact-driven role where you’ll also mentor engineers and influence the technical direction of the platform.
What you'll do :
- Design, develop, and maintain scalable, distributed backend systems using Java and related technologies
- Contribute to and influence the foundational architecture of the Embedded Analytics platform
- Enhance the developer experience through intuitive, well-documented APIs and tools
- Ensure seamless integration via multiple exposure paths such as SDKs, REST APIs, web-hooks, and model context protocols (MCP)
- Troubleshoot and resolve complex system issues to ensure high availability and performance
- Provide technical guidance and mentorship to engineers across the team
- Promote best practices in design, testing, code quality, CI / CD, and observability
- Collaborate closely with product managers, designers, and cross-functional engineers to deliver end-to-end solutions
- Continuously evaluate and improve system design, processes, and architecture
What you bring :
Bachelor's or Master’s degree in Computer Science or related field8+ years of backend software engineering experienceExpertise in Java and familiarity with modern backend languages e.g., Python, GoLangProven experience in building and operating scalable, distributed systemsSolid understanding of system design, architecture patterns (microservices, API gateways), and backend best practicesStrong focus on developer experience and API usabilityExcellent problem-solving and communication skillsDemonstrated ability to mentor and lead engineers effectivelyPreferred qualifications :
Familiarity of Model context protocols (MCP) and agent-to-agent (A2A) communication patternsExperience with relational databases (e.g., MySQL, PostgreSQL) or Graph databases.Exposure to cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes)Experience building APIs or SDKs for external developer use.Contributions to open-source projects or technical blogs.Understanding of CI / CD pipelines and infrastructure automation tools.