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

Regnology

United States

Hybrid

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Regnology in the United States seeks a Senior CI/CD & AI-Enabled DevOps Engineer to own the developer platform and CI/CD ecosystem, driving automation and AI augmentation. You will lead architecture and standards, mentoring engineers and shaping a secure, scalable platform across teams.

You will collaborate with security, product, and operations to improve reliability, observability, and cost efficiency while advancing AI-driven workflows that reduce cognitive load for developers.

Qualifications

  • 5+ years in DevOps, CI/CD, or Platform Engineering with production ownership.
  • Strong expertise in CI/CD systems (Jenkins or similar), Linux, and GCP.
  • Terraform and Kubernetes (plus Docker, Helm) experience.
  • Designing scalable, reliable distributed systems.
  • Observability stacks (Prometheus, Grafana, Elastic) and performance tuning.
  • Security best practices (IAM, secrets, encryption, zero-trust).
  • Programming/scripting in Python or Bash.
  • Hands-on with AI/LLMs in engineering workflows.

Responsibilities

  • Own design, evolution, and reliability of CI/CD and developer platform architecture.
  • Evaluate and introduce new CI/CD, platform engineering, and AI-driven technologies.
  • Lead AI-powered developer productivity solutions: internal AI agents for pipelines and automation.
  • Develop patterns for integrating AI using MCP or similar integration frameworks.
  • Drive self-service internal developer platform enabling teams to deploy and operate services.
  • Provide technical leadership and mentorship to engineers; promote best practices.
  • Troubleshoot complex system/infrastructure issues; act as escalation point.
  • Collaborate with engineering, security, and product teams to improve developer experience and reliability.

Skills

DevOps
CI/CD
Platform Engineering
Linux
GCP
Python
Bash
Jenkins
Terraform
Kubernetes
Docker
Helm
GKE
Prometheus
Grafana
Elastic
IAM
Security best practices
Zero-trust
LLMs integration

Education

Bachelor’s degree in Computer Science/Information Systems

Tools

Jenkins
Terraform
Kubernetes
GKE
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 do

As aSenior CI/CD & AI-Enabled DevOps Engineer, you will take ownership of ourdeveloper platform and CI/CD ecosystem, driving its evolution toward ahighly 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 ourCI/CD and developer platform architecture
  • Evaluate and introduce newCI/CD, platform engineering, and AI-driven technologies, setting technical direction and standards
  • Lead the implementation ofAI-powered developer productivity solutions, including:
  • InternalAI agentsfor 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 usingModel Context Protocol (MCP)or similar frameworks, ensuringsecure and scalable interactionsbetween LLMs and internal systems
  • Drive the development of aself-service internal developer platform, enabling teams to deploy, test, and operate services independently
  • Providetechnical leadership and mentorshipto engineers, promoting best practices in DevOps, platform engineering, and AI adoption
  • Lead troubleshooting and resolution ofcomplex system and infrastructure issues, acting as an escalation point
  • Collaborate cross-functionally with engineering, security, and product teams to improvedeveloper experience, system reliability, and delivery speed
  • Define and enforceobservability, reliability, and cost optimization strategies
  • Ensuresecure 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 inDevOps, CI/CD, or Platform Engineering, with demonstrated ownership of production systems
  • Strong expertise inCI/CD systems (Jenkins or similar), Linux, and GCP
  • Deep experience withInfrastructure as Code (Terraform)and container orchestration (Kubernetes, GKE, Docker, Helm)
  • Proven experience designing and operatingscalable, reliable distributed systems
  • Strong experience withobservability stacks(Prometheus, Grafana, Elastic) and performance tuning
  • Solid understanding ofsecurity 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 inintegrating AI/LLMs into engineering workflows
  • Experience designing or implementingagent-based systemsor advanced automation solutions
  • Understanding ofModel Context Protocol (MCP)or similar tool integration patterns
  • Experience building or evolvinginternal developer platforms (IDPs)and improving developer experience at scale
  • Ability toevaluate, 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 tolead 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 withITIL or service management practices
  • Familiarity withpolicy-as-code, governance frameworks, or compliance in AI systems
  • Experience inDevEx or platform engineering organizations at scale
  • Exposure toFinOps practicesand 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.
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