Senior CI/CD & AI Tooling Engineer
TypeFull-time job
LocationPoland
Posted1 hour ago
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 Tooling 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)
5+ years of experience in DevOps, CI/CD, or Platform Engineering, with demonstrated ownership of production systems
Strong expertise in CI/CD systems (Jenkins or similar), Linux, and GCP
Deep experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes, GKE, Docker, Helm)
Proven experience designing and operating scalable, reliable distributed systems
Strong experience with observability stacks (Prometheus, Grafana, Elastic) and performance tuning
Solid understanding of security best practices (IAM, secrets management, encryption, zero-trust principles)
Strong programming/scripting skills (Python, Bash, or similar)
AI & Platform Leadership
Hands-on experience or strong ownership in integrating AI/LLMs into engineering workflows
Experience designing or implementing agent-based systems or advanced automation solutions
Understanding of Model Context Protocol (MCP) or similar tool integration patterns
Experience building or evolving internal developer platforms (IDPs) and improving developer experience at scale
Ability to evaluate, adopt, and operationalize emerging technologies, balancing innovation with stability
Familiarity with AI concepts and their potential applications in a business environment.
Leadership & Mindset
Proven ability to lead technical initiatives end-to-end, from design to production
Strong mentoring skills and experience guiding other engineers
Excellent problem-solving skills in complex, ambiguous environments
Strong communication and stakeholder management skills
High ownership, proactive mindset, and passion for continuous improvement
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
Why you should decide on us
Let’s grow together, join a market leading SaaS company – our agile character and culture of innovation enables you to design our future.
We provide you with the opportunity to take on responsibility and participate in international projects.
In addition to our buddy-program, we offer numerous individual and wide-ranging training opportunities during which you can explore technical and functional areas.
Our internal mobility initiative encourages colleagues to transfer cross functionally to gain experience and promotes knowledge sharing.
We are proud of our positive working atmosphere characterized by a supportive team across various locations and countries and transparent communication across all levels.
Together we're better - meet your colleagues at our numerous team events.
R&D_2027_09
Apply now!
Originally posted on Himalayas
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 Tooling 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)
5+ years of experience in DevOps, CI/CD, or Platform Engineering, with demonstrated ownership of production systems
Strong expertise in CI/CD systems (Jenkins or similar), Linux, and GCP
Deep experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes, GKE, Docker, Helm)
Proven experience designing and operating scalable, reliable distributed systems
Strong experience with observability stacks (Prometheus, Grafana, Elastic) and performance tuning
Solid understanding of security best practices (IAM, secrets management, encryption, zero-trust principles)
Strong programming/scripting skills (Python, Bash, or similar)
AI & Platform Leadership
Hands-on experience or strong ownership in integrating AI/LLMs into engineering workflows
Experience designing or implementing agent-based systems or advanced automation solutions
Understanding of Model Context Protocol (MCP) or similar tool integration patterns
Experience building or evolving internal developer platforms (IDPs) and improving developer experience at scale
Ability to evaluate, adopt, and operationalize emerging technologies, balancing innovation with stability
Familiarity with AI concepts and their potential applications in a business environment.
Leadership & Mindset
Proven ability to lead technical initiatives end-to-end, from design to production
Strong mentoring skills and experience guiding other engineers
Excellent problem-solving skills in complex, ambiguous environments
Strong communication and stakeholder management skills
High ownership, proactive mindset, and passion for continuous improvement
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
Why you should decide on us
Let’s grow together, join a market leading SaaS company – our agile character and culture of innovation enables you to design our future.
We provide you with the opportunity to take on responsibility and participate in international projects.
In addition to our buddy-program, we offer numerous individual and wide-ranging training opportunities during which you can explore technical and functional areas.
Our internal mobility initiative encourages colleagues to transfer cross functionally to gain experience and promotes knowledge sharing.
We are proud of our positive working atmosphere characterized by a supportive team across various locations and countries and transparent communication across all levels.
Together we're better - meet your colleagues at our numerous team events.
R&D_2027_09
Apply now!
Originally posted on Himalayas
Apply on Himalayas →
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