Senior Software Engineer

Application Deadline: 31 December 2025

Department: Engineering

Employment Type: Full Time

Location: San Ramon, CA

Reporting To: Serge Kurenkov

Compensation: $160,000 - $190,000 / year

• Design and Implement Core Systems: Build scalable, maintainable services and components, applying appropriate design patterns to ensure clear structure and long-term reliability.
• Enhance Cloud Infrastructure: Develop and evolve AWS-based systems with strong architectural practices and high operational quality.
• Automate Security and Quality: Integrate automated testing, security checks, and validation tools directly into the engineering pipeline.
• Collaborate Across the SDLC: Work closely with product and engineering teams to shape designs, refine implementation plans, and ensure smooth delivery.
• Mentor Engineers: Provide guidance on architecture, design decisions, and engineering best practices.
• Drive Technical Evolution: Research and introduce new tools, frameworks, and approaches—including AI/ML or LLM-driven methods—that enhance overall engineering efficiency.

• 10+ years of professional software engineering experience, with deep expertise in Java, Spring, and applying design patterns (GoF, architectural, integration) to build clean, scalable systems.
• Strong ability to evaluate, select, and apply design patterns to solve complex engineering problems with clarity and maintainability.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Solid experience building and maintaining distributed, cloud-based systems, ideally on AWS.
• Strong understanding of microservices architecture, service boundaries, API design, and system modularity.
• Hands-on experience with CI/CD automation to support reliable software delivery (Jenkins, GitHub Actions, Bitbucket Pipelines).
• Proficiency with containerization (Docker, Kubernetes) for running and scaling services.
• Solid understanding of security fundamentals, including IAM, encryption, and secure service-to-service communication.
• Demonstrated ability to mentor engineers, lead code reviews, and guide architectural decisions.
• Experience with incident response, debugging distributed systems, and performing root-cause analysis.
• Familiarity with PHP/Laravel, front-end technologies, and SQL/NoSQL databases is a plus.
• Interest or hands-on experience applying AI/ML or LLM-driven techniques within engineering workflows. Professional certifications (AWS, Java, Architecture) are a strong plus.