Role Description We’re looking for a Workflow Builder that will pull together and construct the data, models and workflows to underpin our business. You will bring distinct use cases as well as an overall operating system and architecture for data at Nscale, spanning Infrastructure, Product, Finance, Commercial, People and Operations, amongst others. You will define the roadmap based on business needs, build solutions across relevant product suites including Palantir Foundry, and ensure that teams at Nscale can make decisions backed by the right data. The role is ideal for someone who can distill the most valuable workflows from a myriad of inputs and teams, can effectively partner with C-suite and factory workers alike, and has prior experience deploying Palantir Foundry. Responsibilities - Execute the enterprise roadmap for the internal data and application platform, aligning use case development with product and business priorities. - Assume end-to-end responsibility for specific use-case identification, design, build and rollout. - Scale partner-developed and experimental solutions into production-grade, internally owned systems. - Be a part of the internal Palantir Center of Excellence covering platform engineering, access management, and user support, as well as partnership with the vendor to provide continuous feedback and understanding upcoming developments. - Implement enterprise standards for data ingestion, pipeline orchestration, semantic modeling, and interoperability across analytics systems. - Own governance of canonical data models and ontologies, managing schema evolution while maintaining business and product alignment. - Enforce best practices for dataset management, version control, code quality, review processes, and reproducible AI workflows. - Design and operate a secure identity and permissions framework, including RBAC, restricted views, and enterprise identity integrations. - Integrate data across development, production, and operational systems into a unified AI data fabric supporting real-time insights. - Build feedback loops from deployed AI systems to track performance, reliability, and operational readiness. - Deliver tools and data products that improve efficiency, quality, and decision-making across teams. - Drive platform adoption through onboarding, training, documentation, and safe self-service development practices. Qualifications - 5+ years of experience in data engineering within fast-paced and varied environments of any sector. - Proficiency in Python and TypeScript. - Experience deploying and building in Palantir Foundry preferred. - Experience with Git or other version control systems. - Proven success in taking ambiguous tasks and turning them into products and solutions that were successfully developed, rolled out and adopted. - Excitement at the prospect of working in a fast paced, high-growth environment. Benefits - Highly competitive package (base + equity) with reviews every 12 months. - Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. - Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support. - Human-First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. - Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work.

Role Description We're hiring a Senior Software Engineer to build our Fleet Manager platform — the workflow automation system that provisions, tests, and remediates GPU nodes and network switches at scale. You'll build foundational Python-based automation systems that manage the entire lifecycle of our compute infrastructure: - Device enrolment - Burn-in testing - Network configuration - GPU health monitoring - Self-healing capabilities This role is for someone obsessed with distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement. What you'll do: - Build workflow automation systems for GPU node and network switch lifecycle management at scale - Design foundational platform components with established software patterns that others build on - Implement device provisioning, burn-in testing, network configuration, and hardware health validation workflows - Integrate with datacenter infrastructure management systems, cloud orchestration platforms, and bare metal provisioning tools - Build distributed workflow orchestration systems to coordinate complex automation tasks across the fleet - Drive technical strategy for reliability, observability, incident response, and operational excellence - Partner with Infrastructure, Platform, and SRE teams to automate hardware lifecycle operations - Use AI tools to accelerate delivery while maintaining architectural coherence Qualifications - 5+ years software engineering experience building and operating production systems, with focus on infrastructure automation or workflow tooling - Strong proficiency in Python (Fleet Manager is built entirely in Python) - Driven by building distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement - Technical expertise: quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems - Use AI tools like Claude or Cursor as a core part of your development workflow - Delivered automation systems from ambiguous requirements to operational systems in production, with hands-on day 2 operations experience (monitoring, incident response, performance optimisation) - Strong problem-solving skills and ability to work independently in a fast-paced, high-agency environment - Excellent communication skills to build consensus with stakeholders, both internally and externally Requirements - Experience with workflow orchestration tools like Temporal, Airflow, Prefect, or similar - Hands-on experience with infrastructure tooling: DCIMs, NetBox, OpenStack, or ERP systems - Bare metal provisioning and automation: MAAS, Ironic, IPMI, PXE boot, or network automation - Experience building hardware lifecycle automation: provisioning, validation, testing, or remediation workflows - GPU infrastructure experience: health monitoring, burn-in testing, or cluster management - HPC and networking: datacenter topology, high-performance interconnects (InfiniBand, RoCE) - Deep knowledge of Kubernetes, Infrastructure as Code (Terraform, Pulumi), AWS, and GCP - Open-source contributions in infrastructure automation or cloud-native tooling Benefits - Collaborative, supportive, and innovative environment where your contributions spark real impact - Highly competitive package (base + equity) with reviews every 12 months - Dynamic progression plan tailored to your ambitions - Human-First Flexibility: autonomy to shape your day around life's moments - Thriving remote-first team with seamless virtual collaboration

• Help design the systems behind our Performance Medicine product, from the first technical plan through to the code that ships. • Build the Ruby services that capture and move athlete medical data, where accuracy and privacy carry real weight. • Take on the reliability and scaling challenges of a platform used by thousands of teams across the world's top leagues. • Work directly with product, design, and the medical and performance staff who rely on the product, and shape it around how they actually work.

• Help design the systems behind our Performance Medicine product, from the first technical plan through to the code that ships. • Build the Ruby services that capture and move athlete medical data, where accuracy and privacy carry real weight. • Take on the reliability and scaling challenges of a platform used by thousands of teams across the world's top leagues. • Work directly with product, design, and the medical and performance staff who rely on the product, and shape it around how they actually work.