Website:
falkor.com.br
Job details:
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, cloud‑native, AI‑ready platform that supports data‑intensive and AI‑enabled services in production.
This is a hands‑on 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 long‑term platform evolution and building strong foundations for future AI‑driven capabilities.
What you'll do
Platform infrastructure
- Design, build, and operate cloud‑native 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 platform‑level issues related to containers and orchestration
- Support data‑intensive platform components and stateful services at infrastructure level
AI‑ready & data‑intensive workloads
- Enable AI‑ready platform capabilities for inference‑heavy and data‑intensive services
- Support GPU‑enabled workloads where required, including scheduling, isolation, and cost awareness
- Design platform patterns suitable for high‑throughput and low‑latency 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 telemetry‑driven analysis
S
ecurity & platform guardrails
- Apply security‑by‑design 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 non‑blocking
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 automation‑first approaches across platform operations
What We're Looking For
- Strong experience operating cloud‑native platforms in production
- Solid hands‑on 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 problem‑solving skills and a collaborative 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, and able to do their best work.
About Falkor
Falkor is a KONGSBERG company that enables organizations in heavy-asset industries to expand human capability and redefine how assets are designed, operated, and optimized across their lifecycle.
By connecting people, systems, and workflows, Falkor's industrial intelligence platform turns complexity into clarity and data into decisions, helping leading organizations improve safety, efficiency, and performance.
Ready to apply?
If you're excited about solving complex challenges and making an impact through technology, we'd love to hear from you.
Apply today with your resume.
Agency notice
Falkor occasionally partners with selected recruitment agencies for specific hiring requirements. We do not accept unsolicited candidate submissions and will not be responsible for associated fees unless terms have been agreed in advance through our Procurement team.
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