We're looking for software and data engineers who are seeking high impact collaborative roles focused on driving operational execution. Ideally you are looking to learn what it takes to build the next generation of defence technology.

Your responsibilities will include leading the design and roadmap for our data platform, partnering with operations, product, and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs, owning the ingest and egress frameworks for data pipelines that stitch together various data sources in order to produce valuable data products that drive the business, and managing a large user base and providing true data self-service at scale.

We use Palantir Foundry as our central hub for data-driven applications, visualizations and large-scale data analysis across the Anduril org. We also use SQLMesh for data transformations, Athena for querying data, Apache Iceberg as our table format, and Flyte for orchestration.

Required qualifications include 5+ years of experience in a data engineering role building products, ideally in a fast-paced environment, good foundations in Python or another language, experience with Spark, PySpark, SQL and dbt, experience with Enterprise Data Systems like Palantir Foundry, and experience with or interest in learning how to develop data services and data products.

The salary range for this role is $166,000-$220,000 USD.

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As a Senior Software Engineer, you will partner with engineers, scientists, product managers, and business teams to identify high-leverage opportunities and build common solutions. You will integrate open-source, enterprise, and SaaS technologies into our evolving stack, design and ship components of a new platform architecture to enable multi-tenancy, fine-grained data governance, workload isolation, and scaling.

Key responsibilities include:

• Leading projects end-to-end and contributing to impactful platform initiatives
• Partnering with engineers, scientists, product managers, and business teams to identify high-leverage opportunities and build common solutions
• Integrating open-source, enterprise, and SaaS technologies into our evolving stack
• Designing and shipping components of a new platform architecture to enable multi-tenancy, fine-grained data governance, workload isolation, and scaling
• Contributing to the growth of our Data Lakehouse platforms, enabling well-governed data products for analytical and operational use cases
• Continuously improving the Research Platform to meet our Science's evolving needs for experimentation, ML Ops, data processing, and analysis
• Helping shape how we approach data modeling, context engineering, and emerging semantic layers to make data easier to discover and use
• Advocating for a product mindset within Platform and Data engineering at Freenome, focusing on developer effectiveness and platform usability
• Exploring and piloting AI-assisted or agentic workflows to enhance individual and team productivity, sharing learnings with the broader organization
• Collaborating through system design, code reviews, and pairing, promoting a strong team culture of accountability, learning, and psychological safety
• Supporting platform users to troubleshoot issues and unblock critical work

Requirements include:

• 6+ years of experience building and operating highly reliable production software systems, preferably in platform engineering teams or similar
• Proficiency with Python and experience with one or more other high-level programming languages
• Strong knowledge of Linux fundamentals, including networking and containerization
• Hands-on experience operating cloud services, storage, and compute using IaC with at least one major cloud provider, preferably Azure or GCP
• Operational experience managing and optimizing large Kubernetes clusters, preferably in single or multi-cluster environments with thousands of nodes
• A pragmatic approach to reliability, observability, performance tuning, and operational excellence
• Excellent communication and documentation skills
• Comfort with cross-functional collaboration and navigating tradeoffs
• BS or higher in computer science or a related technical field, or comparable experience

Nice to have includes columnar data processing, open lakehouse technologies, and table formats, supporting researchers, data scientists, AI/ML teams, flyte or other modern workflow orchestrators, everything as code approach to infrastructure, policies, data, operating production systems in Microsoft Azure, open-source contribution and maintenance.

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