Lead Software Engineer - Data​/Agentic AI

“At BMC trust is not just a word - it's a way of life!”

We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud!

We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation!

We are looking for a Lead Product Developer to help build our next-generation Agentic-AI data management platform from 0-1. This is a hands‑on, delivery‑focused role for a senior engineer who thrives in early‑stage environments, wears multiple hats, and takes pride in shipping real products used by external enterprise customers.

You will work closely with an established architect and other senior engineers, contribute to technical and architectural decisions, and spend the majority of your time designing, building, and evolving the product itself. Success is measured by the quality, reliability, and extensibility of what ships, and by steady progress toward a production‑ready MVP.

• Product Engineering (Primary Focus) - Design, build, and iterate on core components of a data automation and data management platform, taking features from concept through production in a 0-1 product environment.
• Hands‑on Development - Spend most of your time writing high‑quality Python code, reviewing pull requests, and improving existing systems, with a strong bias toward simplicity, maintainability, and delivery.
• Technical & Architecture Collaboration - Work alongside the product architect to contribute to system design discussions, evaluate trade‑offs, and evolve the technical direction as the product matures and real customer constraints emerge.
• Data Platform Capabilities - Implement capabilities around data orchestration, data lineage, observability, governance, and resilience, with a practical understanding of how enterprise customers operate data platforms at scale.
• Integration & Cloud Enablement - Build integrations with cloud platforms (AWS, Azure, GCP) and enterprise systems to support automation and deployment in real‑world customer environments.
• Engineering Practices - Contribute to pragmatic engineering standards, including CI/CD, automated testing, and Dev Ops practices, appropriate for a fast‑moving, early‑stage product team.
• Product Collaboration - Partner closely with product management to translate product requirements into working software, provide implementation feedback, and support rapid learning from customer feedback.
• Ownership & Execution - Take ownership of features and subsystems end‑to‑end, proactively identifying gaps and moving work forward even when requirements are incomplete or evolving.

• 8+ years of professional software development experience, including time spent building and shipping B2B products for external customers.
• Strong proficiency in Python, with hands‑on experience delivering and maintaining production‑grade systems.
• Solid experience with data products, particularly in one or more of the following areas:
  • Data orchestration
  • Data management platforms
  • Data lineage, observability, or governance
• Good system design skills, with the ability to make sensible trade‑offs between short‑term delivery and longer‑term platform evolution.
• Comfort operating in ambiguous, startup‑style environments where priorities evolve and engineers are expected to lead through execution.
• Strong communication skills and the ability to collaborate effectively with engineers, product managers, and other stakeholders.

Broad technical exposure (depth not required in all areas):

• Experience working with cloud platforms (AWS, Azure, GCP).
• Familiarity with containerization and distributed systems (e.g., Docker, Kubernetes, microservices).
• Exposure to a range of data technologies such as relational databases, cloud data warehouses, data transformation frameworks, and…