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Member of Technical Staff - Reference Architecture
Position Summary:
Help shape the engineering foundations that allow product teams to build secure, scalable, and maintainable software faster. In this role, you will develop backend services, APIs, microservices, and reusable platform patterns that improve consistency and reduce duplication across teams. You will work in a hybrid environment inBangalore, partnering with engineering, platform, security, DevOps, and product teams. This role reports to theReference Architecture Manager.
About the Team:
The Reference Architecture team focuses on creating practical engineering standards, reusable assets, and implementation guidance that support modern software delivery. The team works across platform engineering, architecture, DevOps, cloud infrastructure, security, and developer experience to build assets teams can adopt directly. Their work includes service templates, API standards, Kubernetes deployment guidance, documentation, and developer workflows that support efficient delivery. The team partners closely with application engineering teams to help solve common technical problems once and reuse the solution broadly.
Essential Job Responsibilities:
- Design, build, test, deploy, and maintain backend services, REST APIs, microservices, and reusable platform components.
- Develop and standardize reference implementations that help engineering teams deliver applications and services more efficiently.
- Create practical patterns for service development, API design, Kubernetes deployments, CI/CD, cloud integration, observability, and operational readiness.
- Write code that is reliable, scalable, maintainable, testable, and easy for others to understand.
- Contribute to technical design documents, implementation plans, and engineering documentation.
- Follow coding standards, architecture guidelines, security practices, and quality expectations.
- Participate in code reviews, design discussions, planning sessions, team standups, reviews, and retrospectives.
- Debug, deploy, and support production code, including timely resolution of defects and operational issues.
- Partner with product engineering teams to understand adoption needs and improve reference architecture assets.
- Use AI tools to support coding, debugging, documentation, testing, and learning new development approaches as they become available, while applying judgment to review and validate outputs before use.
- Identify and recommend tools, frameworks, or patterns that improve developer experience, platform consistency, and engineering efficiency.
Additional Job Responsibilities:
- Support adoption of team standards and reusable assets across engineering groups.
- Contribute to continuous improvement of team processes and development practices.
- Share knowledge through documentation, demos, or informal technical guidance.
- Help evaluate emerging technologies that may improve platform reliability or developer productivity.
Expected Education & Experience:
- 2 to 4 years of software engineering experience in backend development, distributed systems, or related application development.
- Hands-on experience with Java and Spring Boot.
- Working knowledge of Python.
- Experience building microservices, REST APIs, and backend services.
- Knowledge of Unix/Linux, SQL, preferably PostgreSQL, NoSQL, and related tools and technologies.
- Hands-on experience with Kubernetes and containerized deployments.
- Experience delivering software on one or more cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- Knowledge of Agile SDLC practices, including design, documentation, unit testing, and integration testing.
- Experience with DevOps principles and CI/CD tools such as Harness, Jenkins, Git, and Bitbucket.
- Ability to work collaboratively across engineering, platform, product, security, and operations teams.
- Ability to write code that is technically sound, resilient, performant, scalable, and readable.
- Preferred: Experience building AI agents, tool-using workflows, or retrieval-augmented generation solutions.
- Preferred: Experience using AI-assisted developer tools for debugging, documentation, testing, or productivity.
- Preferred: Experience building reusable engineering templates, service blueprints, starter kits, or internal developer platform assets.
- Preferred: Exposure to observability, API gateways, service reliability, infrastructure-as-code, secure software supply chain, or developer experience platforms.
