• Design and develop AI-powered applications supporting internal staff and external customers • Build web applications, chatbots, and conversational interfaces that leverage large language models and AI services • Develop conversational AI systems using LLM architectures and retrieval-augmented generation (RAG) • Build and maintain APIs and microservices that enable AI capabilities across digital platforms • Develop AI-powered chatbots and assistants to support initiatives such as certification-review tools, customer guidance systems, and conversational analytics • Integrate AI solutions with enterprise platforms, including Snowflake, Salesforce, Power BI, Drupal, and other internal systems • Design knowledge ingestion and retrieval pipelines using embeddings, vector search, and semantic retrieval techniques • Operationalize AI systems with monitoring, logging, evaluation frameworks, and cost optimization • Coordinate closely with other developers, architects, product owners, and business stakeholders to deliver AI initiatives • Collaborate with cross-functional teams to identify high-impact AI use cases and deliver scalable production solutions • Ensure responsible AI practices, including citation grounding, security, governance, and data protection

• Build and own the platform that powers all of Spacelift - from CI/CD to observability to incident response • Improve our code delivery pipeline: reduce friction, tighten feedback loops, eliminate flakiness • Strengthen our SLOs and observability posture - give every team better signals • Sharpen our on-call experience by improving alert quality, response speed, and postmortem hygiene • Optimise platform cost and scaling behaviour across workloads and regions • Own developer experience internally: from local dev to debugging production • Keep learning about our problem space • You build it, you run it - you will also be part of the on-call rotation

• Lead, coach, and develop a team of senior IT platform engineers — actively growing them toward informal domain ownership across Identity, Endpoint, and Security Engineering; own the full people management lifecycle: hiring, onboarding, performance, career development, and succession • Own delivery accountability across IT's major programs — identity maturation, PAM deployment, network-as-a-service delivery, and remote access modernization — not executing every task, but accountable for every outcome; partner with the Staff Engineer to sequence the technical roadmap and protect strategic programs from BAU erosion • Own delivery relationships with key technology vendors and implementation partners — milestone accountability, performance governance, and risk escalation without requiring executive involvement • Lead programs across Security, GRC, Legal, People, and Finance as a true business partner; translate complex technical risk into clear, actionable business language for executive stakeholders; influence without authority across functions • Own the maturation of Oura's enterprise identity program end-to-end — PAM deployment, IGA governance, and Joiner/Mover/Leaver automation are organizational priorities; ensure delivery meets compliance and audit-readiness requirements in partnership with Security and Compliance • Apply your technical depth where it has the highest leverage — architecture reviews, identity design decisions, vendor technical validation, and engineering escalations; remain a credible peer to your senior engineers and delivery partners

• Lead the operational excellence, reliability, and support of enterprise AI and data platforms • Ensure the stability, scalability, observability, governance, and operational readiness of AI/ML solutions • Partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and Product teams to support production AI workloads • Provide technical leadership for AI/ML platforms • Design and implement automation, monitoring, observability, and operational tooling • Serve as a senior escalation point for complex production issues • Communicate complex technical concepts effectively to both technical and non-technical audiences • Identify opportunities to improve operational efficiency, governance, security, and developer experience.