Senior DevOps Engineer (CI/CD & AI-Enabled Platform)
- Compensation
- Not disclosed
- Location
- Remote - Poland
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Devops
- Posted
Skills
Nice to have
- GCP certifications
- Experience with ITIL or service management practices
- Familiarity with policy-as-code, governance frameworks, or compliance in AI systems
- Experience in DevEx or platform engineering organizations at scale
- Exposure to FinOps practices and cost optimization in cloud environments
Full description
At Regnology our greatest asset is our people. We value diversity and foster an inclusive environment that supports learning, safety, and growth. By investing in our team, listening to customers, and encouraging creativity, we drive continuous innovation and improvement.
We offer a flexible, innovative environment where your ideas matter and your career can thrive.
Regnology is a global leader in regulatory reporting, helping financial institutions, regulators, and tax authorities improve data quality, efficiency, and cost savings. Our mission: to safeguard financial markets through smarter, future-ready solutions.
What you'll do
As a Senior CI/CD & AI-Enabled DevOps Engineer, you will take ownership of our developer platform and CI/CD ecosystem, driving its evolution toward a highly automated, AI-augmented engineering environment. You will act as a technical leader, shaping architecture, best practices, and the adoption of modern technologies.
Your key accountabilities are:
- Own the design, evolution, and reliability of our CI/CD and developer platform architecture
- Evaluate and introduce new CI/CD, platform engineering, and AI-driven technologies, setting technical direction and standards
- Lead the implementation of AI-powered developer productivity solutions, including:
- Internal AI agents for CI/CD pipelines, incident resolution, and operational automation
- Intelligent assistants to improve developer workflows and reduce cognitive load
- Define and implement patterns for integrating AI using Model Context Protocol (MCP) or similar frameworks, ensuring secure and scalable interactions between LLMs and internal systems
- Drive the development of a self-service internal developer platform, enabling teams to deploy, test, and operate services independently
- Provide technical leadership and mentorship to engineers, promoting best practices in DevOps, platform engineering, and AI adoption
- Lead troubleshooting and resolution of complex system and infrastructure issues, acting as an escalation point
- Collaborate cross-functionally with engineering, security, and product teams to improve developer experience, system reliability, and delivery speed
- Define and enforce observability, reliability, and cost optimization strategies
- Ensure secure adoption of AI technologies, including governance, compliance, and data protection
- Drive documentation, knowledge sharing, and continuous improvement initiatives across the platform
Why we should decide on you
- Bachelor’s degree in a technical field (Computer Science, Information Systems, or similar)