EPAM Systems
Posted about 18 hours agosvg]:size-3 gap-1 [&>svg]:pointer-events-none focus-visible:border-ring focus-visible:ring-ring/50 focus-visible:ring-[3px] aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive transition-[color,box-shadow] overflow-hidden border-transparent bg-secondary text-secondary-foreground [a&]:hover:bg-secondary/90>FULL TIME
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We are looking for a Senior Software Engineer to join us in developing and maintaining a product lifecycle platform built on Java, Angular, Kafka, and PostgreSQL. This engagement follows an AI-native delivery model, with AI Ops and AI SDLC practices embedded from Day 1. This is an opportunity for an early-career engineer to work within a modern microservices architecture on a platform of genuine industrial scale — 1 million+ products, 100,000+ client submissions annually — supported by an experienced team. Responsibilities Contribute to the development and maintenance of a product lifecycle platform at industrial scale Build and enhance features across the full stack using Java, Angular, and PostgreSQL Design and implement microservices within a modern distributed architecture Develop and integrate REST APIs to support reliable service communication Work with Kafka for event-driven data flows and messaging Follow AI-native delivery practices, including AI Ops and AI SDLC, from Day 1 Adhere to established engineering standards and CI/CD workflows Support platform reliability for a 24/5 environment with 24/7 P1/P2 coverage Collaborate with an experienced team, participating in code reviews and feedback cycles Requirements 5-9 years of experience in Java Full Stack development Proficiency in Java 8+, Spring Boot, and REST API development Expertise in building and maintaining microservices architectures Skills in Angular JS for front-end development Competency in PostgreSQL for relational data management Understanding of service communication patterns and REST APIs Flexibility to work within established engineering standards and CI/CD workflows Capability to learn and adapt in a complex, fast-paced environment Attention to detail, given the platform's 24/5 uptime and 24/7 P1/P2 coverage Collaborative mindset, comfortable asking questions and acting on feedback Nice to have Exposure to Kafka and Elasticsearch Familiarity with hexagonal or microservices architecture patterns Experience contributing to a team with defined code review and testing practices
