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About the role
Shape the future of work in complex industries. At Falkor, we help some of the world's most complex industries operate with greater clarity, confidence, and control. Built on more than 200 years of KONGSBERG industrial heritage, our industrial intelligence platform connects people, systems, and workflows across energy, processing, power, renewables, and other heavy-asset industries. We turn complexity into clarity and data into decisions, helping organizations improve safety, efficiency, and performance across the asset lifecycle. As industries evolve, we're building the technology that helps people see further, decide faster, and operate with confidence. About the role We are looking for a Senior Infrastructure Engineer to join the Platform team within our Industrial Intelligence product area. You will play a key role in designing, building, and operating a modern, cloudnative, AIready platform that supports dataintensive and AIenabled services in production. This is a handson senior engineering role with high autonomy and ownership. You will work closely with product, data, and software engineering teams to ensure the platform is reliable, scalable, secure, and easy to operate over time. The role is intended for engineers who are motivated by longterm platform evolution and building strong foundations for future AIdriven capabilities. What you'll do Platform infrastructure - Design, build, and operate cloudnative infrastructure across Microsoft Azure and other cloud platforms - Provision and manage infrastructure using Infrastructure as Code (Pulumi, Terraform, Bicep, ARM templates) - Operate and optimise Kubernetes platforms (AKS) in production - Own platform reliability, performance, security, and cost efficiency - Share responsibility for platform stability and operational health, contributing to prevention, analysis, and continuous improvement - Maintain clear, practical technical documentation and operational runbooks Kubernetes & container platforms - Manage container orchestration using Kubernetes, including deployment, scaling, and network configuration - Package and deploy workloads using Helm - Troubleshoot platformlevel issues related to containers and orchestration - Support dataintensive platform components and stateful services at infrastructure level AIready & dataintensive workloads - Enable AIready platform capabilities for inferenceheavy and dataintensive services - Support GPUenabled workloads where required, including scheduling, isolation, and cost awareness - Design platform patterns suitable for highthroughput and lowlatency services - Work closely with data and application teams to translate workload needs into robust platform solutions Monitoring, observability & operations - Implement and maintain monitoring and observability using Azure Monitor, Prometheus, Grafana, Tempo, or similar tools - Build and evolve logging and telemetry pipelines to improve operational insight - Reduce operational noise and improve system understanding through telemetrydriven analysis Security & platform guardrails - Apply securitybydesign principles at platform level, including IAM, RBAC, network policies, and workload isolation - Provide default platform capabilities for logging, traceability, and controlled access - Ensure platform safeguards are pragmatic, scalable, and nonblocking CI/CD & automation - Integrate platform capabilities with CI/CD and GitOps workflows - Experience with tools such as GitHub Actions, Azure DevOps, Argo CD, or Flux - Promote automationfirst approaches across platform operations What we're looking for - Strong experience operating cloudnative platforms in production - Solid handson expertise with Kubernetes and Azure - Experience with Infrastructure as Code - Good understanding of platform operations, automation, and observability - Ability to write maintainable automation scripts (PowerShell, Python, Bash, or similar) - Strong problemsolving skills and a team-oriented mindset - Fluency in English, written and spoken Desirable experience - 9+ years of experience supporting AI or ML workloads in production - GPU workloads on Kubernetes - Exposure to GitOps, service mesh (e.g. Istio), or hybrid infrastructure - Background from industrial, enterprise, or regulated environments Why join Falkor You'll be joining a global technology company helping to redefine how complex industries operate. At Falkor, you'll have the opportunity to: - Work on meaningful challenges with real-world impact - Collaborate with talented colleagues across technology and industry domains - Learn from experts in software, engineering, operations, and digital transformation - Grow your career in a business that is expanding globally - Help shape technology that expands human capability in complex industries We believe diverse perspectives make us stronger and are committed to creating an environment where everyone feels respected, included Shap
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