Senior Software Engineer (Java)

About the role

We are looking for a Senior Software Engineer to design, develop, and evolve large-scale cloud-native systems in Java, contributing to architectural decisions across microservices, serverless, and event-driven architectures. You will drive technical initiatives from requirements to production, mentor engineers, optimize performance at scale, and integrate AI-assisted development tools and capabilities into engineering workflows. The role combines strong coding expertise with distributed systems thinking and technical leadership across cross-functional teams.

What you will do

• Design, develop, and maintain scalable, high-performance software systems following modern software engineering best practices;
• Participate in architectural decisions and design distributed, cloud-native applications using microservices, serverless, and event-driven architectures;
• Drive technical initiatives from requirements through production deployment, translating business problems into scalable technical solutions;
• Produce clean, maintainable, well-tested, and well-documented code while promoting long-term codebase health;
• Perform code reviews focused on architecture, quality, maintainability, and performance;
• Identify performance bottlenecks, optimize production systems, and troubleshoot complex production issues;
• Develop internal engineering tools and reusable platform capabilities that improve developer productivity;
• Mentor software engineers through technical guidance, code reviews, and knowledge sharing;
• Collaborate with product managers, architects, and engineering teams to deliver high-quality solutions;
• Leverage AI-assisted development tools and modern AI technologies to improve engineering productivity.

Must haves

• 5+ years of professional software engineering experience;
• Strong experience developing enterprise-grade software using Java or another modern object-oriented programming language;
• Strong understanding of software engineering principles, Algorithms, Data Structures, and Design Patterns;
• Experience designing and building Distributed Systems in cloud-native environments;
• Experience with modern application architecture, including Microservices, Serverless, and Event-Driven Architecture;
• Experience with Docker and Kubernetes;
• Experience with CI/CD pipelines and modern software delivery practices;
• Experience identifying and optimizing performance bottlenecks in large-scale applications;
• Experience leading technical initiatives or mentoring software engineers;
• Strong understanding of enterprise application architecture;
• Experience integrating AI capabilities or leveraging AI-assisted development tools within software engineering workflows;
• Excellent analytical, debugging, and problem-solving skills;
• Strong written and verbal communication skills;
• Ability to work independently while collaborating effectively across distributed engineering teams;
• Upper-intermediate English level.

Nice to haves

• Experience with AWS cloud services;
• Experience with modern database technologies;
• Experience with Grafana, Prometheus, or similar observability platforms;
• Experience with Retrieval-Augmented Generation (RAG), AI agents, Model Context Protocol (MCP), or intelligent workflow orchestration;
• Experience with Amazon Q, Claude, Kiro, or similar AI development tools;
• Experience building internal developer tools and engineering platforms;
• Experience working on enterprise SaaS platforms;
• Bachelor’s or Master’s degree in Computer Science or a related field.