Requirements
At least 5+ years of professional experience building backend services in JavaProven track record designing and operating production microservices at scaleExperience with distributed systems, eventual consistency, and fault toleranceExperience with Agile/Scrum practices (sprint planning, estimation, retrospectives)Advanced proficiency in Java 17+ with modern features (records, sealed types, streams, var)Expert-level Spring Boot knowledge (auto-configuration, profiles, configuration properties)Advanced REST API design skills (versioning, idempotency, error contracts, HATEOAS)Strong microservices architecture experience (bounded contexts, sagas, decomposition)Advanced security expertise (OAuth2, JWT, OWASP, secure coding, vulnerability management)Solid understanding of concurrency and threading (Executors, CompletableFuture, locking)Experience with event-driven architectures using Apache KafkaPerformance optimization skills (JVM tuning, caching, profiling, latency reduction)Experience with AI security and governance (data privacy, prompt injection awareness, safe AI usage)Growth mindset that challenges the status quo and focuses on continuous improvement
Description
Designs, builds, and operates production-grade Java microservices on Spring Boot. Owns the full delivery lifecycle: API design, data modelling, messaging, observability, CI/CD, and on-call support. Collaborates closely with Product, QA, and SRE teams to deliver reliable, scalable services. Provides architectural guidance, makes key technical decisions, and mentors other developers. The role involves ensuring best practices, optimizing performance, and aligning technical solutions with business goals while building secure, high-performing distributed systems.Role and Responsibilities :Design and implement high-performance, scalable microservices using Java 17+ and Spring BootOwn end-to-end API design including versioning, idempotency, error contracts, and OpenAPI specificationsArchitect microservices following bounded contexts, saga patterns, and proper service decompositionEnforce security best practices including OAuth2, JWT, secure coding, and vulnerability remediationIntegrate and manage event-driven systems using Apache KafkaOptimize application performance through JVM tuning, caching strategies, profiling, and latency reductionOptimize database/SQL performance through indexing strategies, query tuning, and EXPLAIN plan analysisManage and optimize scalable distributed systems in the cloud (AWS)Design and implement serverless solutions (AWS Lambda, API Gateway, Step Functions)Utilize scripting languages (Python, Node.js) for tooling, automation, and auxiliary servicesParticipate in on-call rotations and production incident resolutionConduct code reviews and mentor less-experienced engineersCommunicate regularly with the engineering manager, QA teams, and other developers regarding progress on the technology roadmapLeverage AI-assisted development tools to accelerate coding, debugging, testing, and documentation workflowsDrive automation using AI across the software lifecycle — design, development, testing, support, log analysis, and ticket summarizationProduce quality code, raising the bar for team performance and speedWrite code and tests, build prototypes, resolve issues, and profile and analyze bottlenecks