SeniorFull TimeEN
At Kongsberg Digital, we’re on a mission to transform the world’s heaviest industries through world-leading digital twin technology. As a pioneer in industrial digitalization, we provide a comprehensive suite of software solutions that empower organizations to manage the full lifecycle of their assets—more efficiently, safely, and sustainably than ever before.
As we expand across Europe, deepen our end-to-end offerings, and push the boundaries of digital twin technology, now is the perfect time to join a company that’s growing fast, thinking bold, and delivering real impact.
The Kongsberg Digital Kognitwin Infrastructure team is responsible for building, operating, and evolving the cloud platform behind Kognitwin. Our platform powers industrial digital twin solutions across industries such as energy, electrical grids, oil and gas, chemicals, and maritime operations.
Kognitwin helps customers monitor operations, improve decision-making, and gain a real-time overview of complex industrial facilities through scalable and modern cloud technology.
We are now looking for a Senior Cloud Infrastructure Engineer to strengthen our platform and infrastructure team.
In this role, you will work closely with developers, architects, and product teams to build secure, scalable, and highly automated cloud infrastructure. You will help shape the next generation of our platform capabilities while improving reliability, developer experience, and operational excellence.
Design, build, and operate scalable cloud infrastructure solutions using Kubernetes and Microsoft Azure
Improve platform reliability, observability, security, and operational efficiency
Develop and maintain Infrastructure as Code solutions using tools such as Terraform, Pulumi, Bicep, or ARM
Build and maintain CI/CD pipelines and deployment automation
Implement DevOps and platform engineering practices with a strong focus on automation, self-service infrastructure, CI/CD, and operational excellence
Collaborate with software engineers and architects to improve cloud-native application delivery
Optimize systems for scalability, resilience, cost-efficiency, and performance
Troubleshoot and resolve infrastructure and production issues
Contribute to security best practices, compliance, and governance initiatives
Support containerized workloads, microservices architectures, and distributed systems
Participate in improving monitoring, alerting, logging, and incident response processes
Contribute to infrastructure capabilities supporting analytics, observability, and future AI-driven platform services
Mentor and support other engineers through collaboration and knowledge sharing
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
5+ years of experience working with cloud infrastructure, platform engineering, or DevOps
Strong experience with Kubernetes and container orchestration in production environments
Solid hands-on experience with Microsoft Azure services and cloud-native architectures
Experience building CI/CD pipelines and deployment automation
Strong knowledge of Infrastructure as Code practices and tools such as Terraform, Pulumi, Bicep, or ARM templates
Experience with GitHub Actions and/or Azure DevOps Pipelines
Proficiency in scripting and automation using PowerShell, Python, Bash, or similar languages
Experience with observability and monitoring tools such as Prometheus, Grafana, Azure Monitor, OpenTelemetry, or similar
Understanding of networking, security, identity management, and cloud governance principles
Familiarity with DevSecOps practices and security-first thinking
Experience working with microservices and distributed systems
Good understanding of software development workflows and engineering practices
Driven by automation and continuous improvement
Strong troubleshooting and problem-solving skills
Ability to collaborate effectively across teams and disciplines
Fluency in spoken and written English
Experience with platform engineering and internal developer platforms
Experience operating production workloads at scale
Familiarity with FinOps and cloud cost optimization
Experience with service mesh technologies and API gateways
Knowledge of GitOps practices and tools such as ArgoCD or Flux
Interest or experience in AI/ML infrastructure, analytics platforms, or data-driven cloud services
Familiarity with modern AI ecosystem tooling and cloud-based analytics solutions is a plus
Certifications within Azure, Kubernetes, or cloud technologies
Experience working in industrial, energy, or real-time operational environments
Enable AI‑ready platform capabilities for inference‑heavy and data‑intensive services
Support GPU‑enabled workloads where required, including scheduling
Diversity & Inclusion:
At Kongsberg Digital, we celebrate diversity and strive for inclusivity. We strongly believe that different perspectives and backgrounds drive innovation and contribute to our success. We actively promote a culture of inclusiveness that values and respects every individual, providing equal opportunities for all our employees. Together, we will create a workplace where every game-changing employee can shine and seize equal opportunities.
[Note to Recruitment Agencies:]
KDI occasionally partners with recruiting agencies for specific roles. To ensure compliance we work with a limited number of preferred suppliers who follow an agreed process for vetting and representing KDI in the external market. KDI will not accept unsolicited candidates or be liable to pay associated fees unless terms are agreed with our Procurement team prior to any work being carried out.
