AI DevOps Engineer

United States Digital Space LLC; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Elavon, a global payments leader, is seeking an AI DevOps Engineer to own the deployment, operations, and reliability of the AI‑SDLC platform as it moves to a centralized hosted service. You will build and maintain infrastructure, CI/CD pipelines, and observability, ensure enterprise SLAs and security, and support multi‑team adoption across products.

Candidates bring strong Terraform, AWS, Docker/Kubernetes, OpenTelemetry, and scripting skills, with a focus on reliability and cost efficiency.

Qualifications

• CI/CD pipelines knowledge with GitLab/Jenkins/Harness.
• Infrastructure as Code with Terraform.
• AWS cloud platform experience (ECS/EKS, Lambda, S3, IAM).
• Observability and monitoring with OpenTelemetry and CloudWatch.
• Scripting in Python and/or Bash.
• Security and compliance operations including PCI DSS controls.
• Reliability engineering with SLIs/SLOs and cost management.

Responsibilities

• Own AI-SDLC deployment, operations, and platform reliability (uptime, performance, incident response).
• Manage infrastructure, monitoring, observability, and on-call support.
• Build and maintain CI/CD pipelines and automation for platform releases.
• Drive centralized hosted AI-SDLC service for scalability and multi-tenancy.

Job description

At the company, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often—that’s what we call the courage to thrive. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with the company gives you a wide, ever-growing range of opportunities to discover what makes you thrive. Try new things, learn new skills and discover what you excel at—all from Day One.

As a wholly owned subsidiary of the company, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals—no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we’re building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other.

We actively uphold transparent and fair hiring practices that support individual opportunity, inclusive culture, and career mobility across all levels of our organisation.

We offer meaningful opportunities for growth, a culture of inclusion, and a strong commitment to transparency and integrity in everything we do.

Job Description

The AI DevOps Engineer owns the deployment, operations, and reliability of the AI‑SDLC platform as it transitions from local/team execution to a centralised, hosted enterprise service. This person builds and manages the infrastructure, CI/CD, monitoring, and observability that keep the platform available, secure, and scalable across multiple teams and products. They automate deployments, maintain pipelines, and provide operational support, playing a critical role in productionising the AI‑SDLC and ensuring it meets enterprise SLAs, security, and governance requirements.

Key responsibilities

• Own AI-SDLC deployment, operations, and platform reliability (uptime, performance, incident response).
• Manage infrastructure, monitoring, observability, and operational/on-call support.
• Build and maintain CI/CD pipelines and automation for platform releases.
• Drive the shift to a centralised, hosted AI-SDLC service — scalability, multi‑tenancy, cost, and resilience.

Must‑have technical skills

• CI/CD — GitLab Pipeline / Jenkins / Harness (highly relevant given your Harness Engineering direction).
• Infrastructure as Code — Terraform.
• Cloud platform — AWS (ECS/EKS, Lambda, S3, IAM, networking); container orchestration with Docker + Kubernetes.
• Observability & monitoring — OpenTelemetry, CloudWatch, logging/tracing for AI workloads.
• Scripting/automation — Python and/or Bash.
• Security & compliance operations — secrets management, IAM/least privilege, PCI DSS-aligned controls, auditability.
• Reliability engineering — SLIs/SLOs, incident management, cost and capacity management (incl. LLM token/credit cost control).

Nice‑to‑have skills

• LLMOps / MLOps — model serving, gateway/proxy management, prompt/version management, guardrails at runtime.
• Experience hosting AI/agentic platforms as a shared internal service (multi-tenant).
• Bedrock / model-hosting and API gateway management.
• FinOps for AI (usage-based cost optimisation).
• LangGraph, LangChain understanding

Accessibility

We are committed to providing an inclusive and accessible recruitment experience. If you need adjustments at any stage of the application or hiring process, please contact your recruiter for guidance and support.

Total Rewards

the company is committed to fair, equitable, and transparent compensation practices in line with local regulatory and legal requirements. Our total rewards approach is designed to attract, retain, and support top talent while ensuring equal pay for work of equal value.

We offer a market-competitive compensation package that includes:

• Clearly defined salary ranges aligned with industry benchmarks and internal equity standards.
• Performance-based incentives for eligible employees (as defined by relevant plan rules), awarded through transparent, objective criteria that recognize both individual and company performance.
• Inclusive equitable benefits that are accessible to all employees and focused around our 3 main pillars of financial wellbeing, health & wellness).
• Continuous development opportunities including training, education support, and career progression pathways based on inclusive and transparent criteria.
• Employee recognition programs that celebrate achievements and milestones for all.

We regularly review our compensation and benefits to ensure they remain competitive, inclusive, and responsive to employee needs and market trends. Further details of the compensation package will be provided upon application.

We encourage candidates to explore the full value of our offer, including monetary and non- monetary benefits, at Employee benefits and development | the company | Elavon.

Closing Date

Posting may be closed earlier due to high volume of applicants.

We aim to provide timely updates throughout the process and encourage early applications to ensure consideration.