Senior DevOps & Infrastructure Engineer
Senior DevOps/infrastructure engineer at Cenosco, which builds Asset Integrity Management SaaS for oil & gas, chemicals, and energy. Day to day: designing Azure cloud infrastructure, IaC with Terraform/Pulumi, CI/CD pipelines, Kubernetes/Talos, observability, and using AI tools like Copilot, Cursor, and Codex to automate DevOps work.
- Compensation
- Not disclosed
- Location
- Poland
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Devops
- Posted
Skills
Must have
- 8+ years of professional experience in DevOps & Infrastructure engineering, Platform engineering, or a similar role in a SaaS or product-based environment
- Hands-on experience with Azure (or similar) cloud services and cloud-native infrastructure design
- Strong practical knowledge of CI/CD, deployment automation, release pipelines, and environment management
- Experience with Infrastructure as Code tools such as Terraform, Pulumi, or similar
- Good understanding of containers, Kubernetes, AKS, Ansible, Packer, networking, security, monitoring, and reliability practices
- Practical experience using AI-assisted coding or automation tools, or strong interest in applying them to DevOps workflows
- Strong enablement mindset: creating standards, reusable solutions, documentation, and automation
Nice to have
- Experience using ML, heuristic analysis, or AI-assisted techniques to analyze logs, detect anomalies, and support proactive troubleshooting
- Experience building internal developer platforms, self-service deployment workflows, golden paths, or platform engineering tooling
- Experience with security automation, policy-as-code, cost optimization, or FinOps practices in cloud environments
- Exposure to AI infrastructure, MLOps, data pipelines, or supporting teams building AI-enabled products
Full description
Are you a senior DevOps and infrastructure engineer who enjoys building reliable cloud platforms, enabling engineering teams, and using AI to remove operational complexity? At Cenosco, we build Asset Integrity Management software trusted by global leaders in Oil & Gas, Chemicals, and Energy. We are looking for someone who can strengthen our DevOps foundation, evolve our infrastructure, and help us use AI-powered tools to automate how we build, deploy, monitor, and operate our platform.
This role is primarily focused on DevOps, infrastructure enablement, IaC, deployment automation, and platform reliability. You will also play an important part in shaping how we use AI and agentic tooling (i.e. Copilot, Cursor, Codex, and similar tools) to make DevOps work faster, smarter, and more scalable.
What You'll DoDevOps, Infrastructure & Platform Enablement
- Design, build, and maintain scalable cloud infrastructure on Azure, with a strong focus on reliability, security, performance, and operational simplicity.
- Own and improve Infrastructure as Code practices using Terraform, Pulumi, or similar tools, creating reusable patterns that help teams provision and manage environments consistently.
- Build, optimize, and automate CI/CD pipelines for application, infrastructure, and platform deployments across environments.
- Enable engineering teams by creating self-service infrastructure, deployment templates, automation scripts, documentation, and platform standards.
- Drive containerization and orchestration practices using Kubernetes and Talos, ensuring our platform can scale reliably and efficiently.
- Embed security, compliance, monitoring, and disaster recovery considerations into infrastructure and deployment workflows from the start.
AI-Assisted DevOps Automation
- Use AI-assisted and agentic tools to automate repetitive DevOps work, including pipeline creation, IaC generation, environment provisioning, deployment workflows, and operational runbooks.
- Experiment with tools such as GitHub Copilot, Cursor, Codex, and similar solutions to improve engineering productivity and reduce manual infrastructure effort.
- Identify opportunities to apply AI to troubleshooting, incident response, monitoring, release management, and platform operations.
- Help define practical, secure, and scalable ways of using AI in DevOps processes, while maintaining strong engineering standards and governance.