As a Staff (techlead-level) Infrastructure Engineer, you will lead the design, implementation, and evolution of our cloud infrastructure platforms that power SentinelOne’s products at scale. You will drive complex, cross‑functional initiatives end‑to‑end, set technical direction for Kubernetes and cloud infrastructure (70+ K8s clusters, tens of thousands of nodes, multi‑region AWS (EKS) and GCP (GKE), multi‑account setup), and raise the bar for reliability, performance, and security. You will act as a go‑to expert and mentor for other engineers, helping them develop, deliver, and operate services efficiently on top of our platform.

What Will You Do?

Primary responsibilities include: 

• Own, design, build, and evolve systems and large, impactful initiatives (complex, ambiguous problems) across Kubernetes and cloud infrastructure that allow our engineers to deliver features safely, quickly, and reliably – such as the cloud infrastructure platform we’re building.
• Maintain and enhance large‑scale Kubernetes infrastructure, troubleshoot and resolve complex issues in the platform and related cloud services, including performance, scalability, and reliability, as well as H-A, observability, security, and cost-efficiency challenges.
• Ensure our Kubernetes infra and surrounding ecosystem are fully automated using IaC (Terraform, incl. writing, maintaining and improving modules & tooling) and GitOps (ArgoCD) and adhere to best practices in security and compliance. You will also define & evolve standards and patterns across teams and guide others in adopting these practices.
• Support Engineering teams as a trusted partner, helping them adopt and utilize the platform effectively (repeatable, self‑service infrastructure), and influence roadmaps with infrastructure & reliability considerations.
• Own and continuously improve key metrics around performance, throughput, reliability, and failure rates, including capacity planning and deployment strategies.
• Contribute to and sometimes lead incident response efforts, post‑incident reviews, and systemic improvements to prevent recurrence.
• As Staff Engineer, you will be expected to mentor and coach other engineers, fostering a culture of knowledge sharing, continuous learning, and high‑quality engineering practices.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Multiple years of hands-on Kubernetes administrator experience, including maintenance, configuration, and operations in large-scale production environments - such as dozens of clusters, hundreds of nodes, multi‑region, or multi‑account setups.
• Experience with managed offerings like EKS and/or GKE. KOPS and others are a plus.
• Strong experience with ingress controllers configuration and troubleshooting (like Traefik or Gloo) and production experience maintaining standard add-ons (like cert‑manager, Karpenter, Keda, Cilium, CoreDNS etc).
• Deep, practical experience with GitOps tooling and workflows, ideally ArgoCD and/or Flux; with CI/CD pipelines, ideally GitHub Actions, including designing and operating workflows for infrastructure and application delivery.
• Strong experience with Terraform or Terragrunt, including designing and maintaining reusable modules and shared infrastructure components.
• Ability to design automation and tooling to streamline day-to-day operations such as cluster lifecycle, upgrades, and policy enforcement. 
• Highly preferred: proficiency in Python or Golang, with the ability to automate operations, build small tools or services, and review code for quality and reliability.
• Strong AWS and/or GCP infrastructure knowledge across core services, networking, security, IAM, and cost optimization.
• Solid understanding of SRE principles, including SLAs, SLOs, and SLIs, and how to design systems to meet them.
• Incident response experience, including participation in on‑call rotations and leading or contributing to incident reviews.
• Experience leading technical projects from start to finish - you will take full ownership of  work, catch issues early and create solutions that help different teams and services work better together. Strong ability to handle context-switching.
• Experience mentoring and coaching engineers, driving improvements in engineering practices, and fostering a collaborative, learning‑oriented environment.
• Experience using AI tools in day-to-day engineering work and a solid understanding of FinOps practices for managing and optimizing cloud costs.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Enjoy flexible hybrid work in Prague (Karlin), Brno (Clubco), or remotely across CZ/SK. Only Prague-based employees are required to work from the office at least two days per week.
• Stock & Bonuses: Grant of Restricted Stock Units with a 4-year vesting plan, annual performance-based bonuses, and an employee stock purchase plan.
• Time Off & Well-being: Flexible Time Off, on top of the standard 5 weeks vacation, flexible paid sick days, fully paid Short Term Sick/Nursing Leave, 16-week parental leave, grandparent leave, and additional company holidays.
• Insurance & Health: Pension Insurance Contribution, Premium life insurance, Private medical care (for you and +1), and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and in-office refreshments.
• Growth & Community: LinkedIn Learning, internal mentoring, educational support, generous referral bonuses, and optional company events (sports, BBQs, charity).

We’re building a new product from scratch - focused on pragmatic, production-ready LLM-based agents.
The research and architecture phase is happening. Now we need engineers who will help turn those decisions into a real, scalable system.
This is not about blindly playing with prompts.
This is about building backend services, APIs, evaluation pipelines, and infrastructure that make agentic systems reliable in production.
We’re tackling a real-world problem with a clear path to market, backed by SafeQ Cloud - and you’ll also help shape and improve the in-house tools that power the product.

You won’t just get tickets — you’ll be part of discussions, refinements, and decisions.

If you’d like to work remotely, no problem. We’re used to hybrid collaboration based on team agreement.

WHAT WE OFFER:

• Things to be fresh. We’re building new AI products just now - and you can be part of the journey from start to finish. You’ll work across a wide range of AI disciplines, from text processing through image analysis to process automation
• No coding monkeys. We build solutions, not just follow specs.
• Work from idea to delivery.
• A manager-less structure. No hierarchy, everyone has a say.
• A team that decides. Hiring, promotions, direction - all in the team.
• No bulls**t KPIs.
• Learning and knowledge sharing is part of the job.

WHAT WE EXPECT FROM YOU:

• TypeScript (Node.js)
• Ideally React (or willingness to learn)
• Experience with building real applications (not just tutorials)
• Attention to quality (code reviews, testing, best practices)
• Ability to work across backend and frontend
• Be open-minded
• Come up with improvements and realize them
• Share your knowledge with others
• Readiness to learn new things

NICE TO HAVE:

• DevOps / SRE basics
• QA mindset
• Security awareness
• UX / product sensitivity
• Interest in AI / LLMs (not required, but we’ll expose you to it)

One of our teams is looking for a new teammate. They are focusing on bringing AI into real products - not as a toy, but as something that actually solves problems.

You’ll be working on practical use of LLMs and AI approaches in a product environment. That means experimenting, validating ideas, and helping teams understand what works and what doesn’t. You won’t be sitting in a research silo - you’ll be working directly with teams and helping turn ideas into something usable.

If you’d like to work remotely, no problem. We’re used to hybrid collaboration based on team agreement.

WHAT WE OFFER:

• Things to be fresh. We’re building new AI products just now - and you can be part of the journey from start to finish. You’ll work across a wide range of AI disciplines, from text processing through image analysis to process automation
• No coding monkeys. We experiment, question, and figure things out.
• Work that starts with an idea and ends in a real product.
• A manager-less structure. No hierarchy, everyone has a say.
• A team that decides. Hiring, promotions, direction - all in the team.
• No bulls**t KPIs.
• Learning and knowledge sharing is part of the job, not a side activity.

WHAT WE EXPECT FROM YOU:

• Python
• Experience with at least one AI / ML-related project (school, personal, or work)
• Basic understanding of:
  • datasets
  • statistics
  • good practices in data/ML work
• Interest in AI beyond just LLMs
• Ability to explain things and share knowledge with others
• Be open-minded
• Come up with improvements and realize them
• Share your knowledge with others
• Readiness to learn new things

NICE TO HAVE:

• Experience with LLMs (RAG, agents, fine-tuning…)
• Experience with AI frameworks or tools
• Any exposure to production systems or cloud