AI Augmented Software Engineer [gn] Data Intelligence Platform

• Design and implement new features across the full stack of the Actian Data Intelligence Platform, from backend services to frontend interfaces, with a focus on correctness, performance, and maintainability.

• Use AI tools actively and deliberately,  not as a replacement for engineering judgment, but as a force multiplier that lets you move faster, focus on high performance solutions, write better tests, and spend more time on the problems that matter.

• Contribute to technical design sessions and code reviews, bringing a security-first mindset and a bias toward clean, testable architecture.

• Participate in incident response and production troubleshooting, treating stability as a shared responsibility.

• Share knowledge across the team through technical sessions, documentation, building internal and contribute with AI assisted development best practices.

• Strong product mindset, you team with product managers to understand requirements early and translate them into well-scoped technical solutions.

• A proven track record of using AI coding assistants — tools like Claude Code or Cursor — and the discipline to know when they help and when they mislead.

• Experience developing features for data governance, data catalogs or metadata management platforms in production is a big plus.

• Proven experience as a fullstack engineer building and shipping features in production SaaS environments. You have end-to-end ownership in your track record, not just task execution.

• Strong practical knowledge of our core stack is a big plus: Scala or Java on the backend, TypeScript and Angular on the frontend. You do not need to be expert in all of them, but you need to be honest about where you are strong and genuinely willing to grow in the others.

• Solid understanding of SaaS architecture and cloud fundamentals, particularly on AWS. Comfortable with Docker, Kubernetes, GitHub workflows, and CI/CD pipelines.

• A genuine agile mindset — not a process checkbox, but an actual preference for short feedback loops, iterative delivery, and collaborative problem-solving.

• Full professional proficiency in English. 

We value autonomy over process, outcomes over activity, and builders over theorists. If you need to be assigned every task, this is the wrong environment. If you thrive when given a problem, a team, and the space to figure it out — you will fit right in.

• The chance to be part of an innovative, fast-growing company making a significant impact in the data management space.
• Collaboration with a passionate and diverse team.
• Competitive salary and benefits package.
• Flexible work arrangements (remote or hybrid).
• Opportunities for professional growth and development.