Own the end-to-end design and delivery of backend services and features from requirements and API contracts through implementation, testing, and production.
Make service-level design decisions, establish engineering patterns, and influence the broader platform architecture.
Provide day-to-day technical leadership through code reviews, design guidance, mentoring, and delivery ownership for a squad.
Drive testing strategy, security, resilience, performance, authentication, authorization, observability, error handling, and safe rollout for the multi-tenant platform.
Use AI coding assistants and agentic tools for scaffolding, refactoring, tests, and documentation, while critically reviewing generated code.
Help establish effective AI development practices, review gates, prompt engineering approaches, and agentic workflows for the team.
Lead sprint planning, backlog refinement, estimation, epic decomposition, discovery, and delivery sequencing.
Partner with product and SOC/automation teams to define scope, boundaries, buildable plans, and delivery status.
Requirements
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
6–8 years of experience building systems with Java and React or Angular, including at least 2 years of full-stack development experience.
Strong fundamentals in object-oriented programming, concurrency, data structures, clean code, and Spring Boot.
Experience designing and running microservices and RESTful APIs; contract-first and OpenAPI experience is a plus.
Hands-on experience with Apache Kafka, including topics, consumers, delivery semantics, and eventual-consistency trade-offs.
Solid MongoDB experience with data modeling, queries, and indexing, plus working knowledge of relational databases.
Experience implementing authentication and authorization in multi-tenant systems using JWT, OAuth2, and LDAP/Active Directory integration.
Experience with Docker, Kubernetes, Jenkins or an equivalent CI/CD tool, Git-based workflows, and static analysis.
Demonstrated technical leadership through mentoring, code review, and squad delivery ownership.
Fluency in Agile/Scrum, including writing user stories, acceptance criteria, and defensible estimates.
Effective hands-on use of AI development assistants and agentic coding tools such as Claude Code, with sound review and quality judgment.
Strong communication skills across technical and non-technical audiences and comfort working with distributed teams in India and the United States.
Preferred qualifications include Azure and infrastructure-as-code familiarity, exposure to SOC, ITSM, SIEM/XDR, Jira, or Cherwell, legacy modernization experience, startup experience, and early-career engineer mentoring.
Benefits
Gruve describes a culture of innovation, collaboration, continuous learning, and an inclusive workplace.
The role works with distributed teams across India and the United States.
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