Senior DevOps Engineer (CI/CD & AI-Enabled Platform)

Regnology Group GmbH; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Buddy program

Training opportunities

Internal mobility across teams

Team events and collaborative culture

Job summary

Regnology is hiring a Senior CI/CD & AI-Enabled DevOps Engineer to own and evolve our developer platform and CI/CD ecosystem, driving automation and AI-enabled engineering. You will shape architecture, define standards, and lead the adoption of modern technologies across the engineering org.

You will drive AI-powered productivity solutions, mentor engineers, and collaborate with security, product, and operations teams to improve reliability, cost efficiency, and developer experience at scale.

Qualifications

• Bachelor’s degree in a technical field or equivalent
• 5+ years of experience in DevOps, CI/CD, or Platform Engineering with 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)
• Security best practices (IAM, secrets management, encryption, zero-trust)
• Strong scripting skills (Python, Bash)
• AI & Platform Leadership and agent-based automation exposure
• Understanding of MCP or similar tool integration patterns
• Experience evolving internal developer platforms at scale
• Familiarity with policy-as-code, governance in AI systems
• DevEx or platform engineering leadership a plus

Responsibilities

• 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 and internal AI agents for CI/CD, incident resolution, and automation
• Define patterns for integrating AI using MCP or similar frameworks with secure, scalable interactions
• 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 and AI adoption
• Lead troubleshooting and resolution of complex system and infrastructure issues as escalation point
• Collaborate cross-functionally 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 across the platform

Skills

CI/CD ownership

AI integration

Linux

GCP

Terraform

Kubernetes

Docker

Helm

Prometheus

Grafana

Elastic

Python

Bash

Model Context Protocol

IDP experience

Observability

Security concepts

Education

Bachelor’s degree in Computer Science or related field

Tools

Jenkins

Terraform

Kubernetes

Docker

Helm

Prometheus

Grafana

Elastic

Job 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 doAs 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 architectureEvaluate and introduce new CI/CD, platform engineering, and AI-driven technologies, setting technical direction and standardsLead the implementation of AI-powered developer productivity solutions, including:Internal AI agents for CI/CD pipelines, incident resolution, and operational automationIntelligent assistants to improve developer workflows and reduce cognitive loadDefine and implement patterns for integrating AI using Model Context Protocol (MCP) or similar frameworks, ensuring secure and scalable interactions between LLMs and internal systemsDrive the development of a self-service internal developer platform, enabling teams to deploy, test, and operate services independentlyProvide technical leadership and mentorship to engineers, promoting best practices in DevOps, platform engineering, and AI adoptionLead troubleshooting and resolution of complex system and infrastructure issues, acting as an escalation pointCollaborate cross-functionally with engineering, security, and product teams to improve developer experience, system reliability, and delivery speedDefine and enforce observability, reliability, and cost optimization strategiesEnsure secure adoption of AI technologies, including governance, compliance, and data protectionDrive documentation, knowledge sharing, and continuous improvement initiatives across the platformWhy we should decide on youBachelor’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 systemsStrong expertise in CI/CD systems (Jenkins or similar), Linux, and GCPDeep experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes, GKE, Docker, Helm)Proven experience designing and operating scalable, reliable distributed systemsStrong experience with observability stacks (Prometheus, Grafana, Elastic) and performance tuningSolid understanding of security best practices (IAM, secrets management, encryption, zero-trust principles)Strong programming/scripting skills (Python, Bash, or similar)AI & Platform LeadershipHands-on experience or strong ownership in integrating AI/LLMs into engineering workflowsExperience designing or implementing agent-based systems or advanced automation solutionsUnderstanding of Model Context Protocol (MCP) or similar tool integration patternsExperience building or evolving internal developer platforms (IDPs) and improving developer experience at scaleAbility to evaluate, adopt, and operationalize emerging technologies, balancing innovation with stabilityFamiliarity with AI concepts and their potential applications in a business environment.Leadership & MindsetProven ability to lead technical initiatives end-to-end, from design to productionStrong mentoring skills and experience guiding other engineersExcellent problem-solving skills in complex, ambiguous environmentsStrong communication and stakeholder management skillsHigh ownership, proactive mindset, and passion for continuous improvementNice to haveGCP certificationsExperience with ITIL or service management practicesFamiliarity with policy-as-code, governance frameworks, or compliance in AI systemsExperience in DevEx or platform engineering organizations at scaleExposure to FinOps practices and cost optimization in cloud environmentsWhy you should decide on usLet’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_11Apply now!