Description

Design, build, and own end-to-end software solutions, from architecture to production, while mentoring engineers and driving AI-augmented development practices.

This role is on-site.

Responsibilities

• Develop scalable backend systems and data pipelines using Scala, ensuring high availability and performance.
• Own the full development lifecycle, including design, testing, deployment, and operation of production-grade systems.
• Champion AI-led development by onboarding teams onto agentic tools like Claude, Cursor, and Windsurf to accelerate productivity.
• Mentor junior and mid-level engineers, establishing best practices for AI-augmented software delivery and code quality.
• Collaborate with product and application teams to iteratively ship high-quality features and technical solutions.

Required Skills

• 8-12 years of end-to-end software development experience, with 5+ years of hands-on Scala development.
• Strong grasp of functional programming, type systems, and the JVM ecosystem.
• Experience with distributed systems, microservices, event-driven architecture, and CQRS patterns.
• Proficiency in CI/CD pipelines, test-driven development (TDD), and code review practices.
• Hands-on experience with AI coding tools (Claude, Cursor, Windsurf) and prompt engineering.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience with Scala frameworks such as Akka, Cats, ZIO, or Play.
• Knowledge of data modeling, ETL/ELT pipelines, and large-scale datasets.
• Background in mentoring and driving technical culture change.

Key Skills

Education

Bachelor's degree