Summary
✨ AI‑Generated
An experienced senior cloud engineer is sought to design and support highly available environments across AWS and GCP. You will own cloud engineering initiatives end-to-end, build Kubernetes platforms, automate infrastructure and deployments with Infrastructure as Code, and create self-service capabilities for engineering teams. The role also provides an opportunity to explore LLM and autonomous AI agent integrations that enhance developer workflows.
Highlights
Senior cloud engineering role with end-to-end ownership of cloud projects, Kubernetes platform development, automation, and platform engineering. The position also offers exposure to emerging LLM and autonomous AI agent integrations aimed at improving engineering workflows.
Description
About the Role
We are seeking an experienced Senior Cloud Engineer to join a global investment firm.
In this role, you will design and support scalable cloud and Kubernetes environments, combining hands-on engineering, architecture, automation, and platform engineering.
You will collaborate closely with development teams, build self-service capabilities, and explore LLM and autonomous AI agent integrations to continuously improve engineering workflows.
Key Responsibilities
Design and maintain highly available cloud infrastructure across AWS and GCP.Own cloud engineering projects end-to-end from initial design through implementation.Design and develop Kubernetes platforms, including managed Kubernetes services.Automate infrastructure provisioning and application deployment using Infrastructure as Code (Terraform, CloudFormation, or similar).Build self-service capabilities for engineering teams and promote DevOps and Platform Engineering best practices.Collaborate with developers and stakeholders on cloud solutions and architecture.Support applications in cloud / Kubernetes environments and implement observability tools such as Prometheus and Grafana.Apply cloud-native security practices and explore LLMs and AI agents to enhance engineering workflows.Mentor engineers, contribute to technical decisions, and participate in an on-call rotation with occasional out-of-hours maintenance.
Candidate Profile
Level of Experience: Senior level with extensive hands-on experience managing large-scale, highly available cloud environments.Kubernetes & Cloud Expertise: Advanced practical knowledge of Kubernetes (deployment, management, security, managed services), cloud architecture, and serverless solutions.IaC & Automation: Deep expertise in Infrastructure as Code (Terraform or CloudFormation) and programming skills for infrastructure automation (preferably Python or Go).System & Network Fundamentals: Strong Linux administration skills, solid understanding of networking, and experience with hybrid cloud environments.DevOps Culture: Solid understanding of DevOps and Platform Engineering principles with a proactive approach to improving engineering practices.Communication & Mentorship: Excellent communication skills, agile experience, and the ability to mentor colleagues and drive technical discussions.
Nice to Have
AWS certifications (Solutions Architect, DevOps Engineer).Kubernetes certifications (CKA, CKAD, CKS).Knowledge of FinOps and cloud cost optimization.Experience with on-premises Kubernetes or Ansible.Exposure to AI / ML infrastructure.Open-source contributions.
Working Model & Logistics
Employment Type: Employment Contract (UoP)Location: Warsaw, Poland (Hybrid model: 3 days per week in-office)
