DevOps Engineer (Supporting AI)

JR United Kingdom; Kingston upon Hull; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading technology firm is seeking a Senior DevOps Engineer to support AI applications for a financial client in Kingston upon Hull. This role focuses on streamlining infrastructure automation, developing CI/CD pipelines, and ensuring robust application performance. Candidates should have strong expertise in Azure, containerisation, and IaC, with a flexible work arrangement available.

Qualifications

• Proven experience with CI/CD pipeline setup and maintenance.
• Strong understanding of Infrastructure as Code.
• Hands-on experience with Docker and Kubernetes.

Responsibilities

• Automate infrastructure provisioning and management.
• Design, implement, and maintain CI/CD pipelines.
• Manage cloud infrastructure on Azure.

Skills

CI/CD pipeline setup

Infrastructure as Code

Containerisation

Orchestration technologies

Cloud platforms

Monitoring tools

Problem-solving skills

Job description

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DevOps Engineer (Supporting AI), kingston upon hull, east yorkshire

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Client:

Location:

kingston upon hull, east yorkshire, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

1

Posted:

06.06.2025

Expiry Date:

21.07.2025

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Job Description:

Synechron is looking for a Senior DevOps Engineer to join their Cloud and AI Practice to work on a multi-year, AI programme of work within a leading financial institution.

The role requires an experienced DevOps Engineer to support the development, deployment, and monitoring of AI applications. The role focuses on streamlining infrastructure automation, ensuring seamless CI/CD integration, and creating scalable, secure environments. You will work across backend services and UI components to enable efficient AI workflows and robust application performance.

Key Responsibilities:

• Automate infrastructure provisioning and management using Infrastructure as Code (IaC) tools like Terraform or ARM templates
• Design, implement, and maintain CI/CD pipelines to support continuous integration and deployment, primarily using GitLab
• Containerise applications and orchestrate deployments using Docker and Kubernetes
• Manage cloud infrastructure on Azure, ensuring high availability, scalability, and security
• Set up and maintain monitoring, logging, and alerting solutions using tools such as Prometheus and Grafana
• Collaborate with development teams to optimize AI application deployment and operational performance
• Ensure compliance with security standards and best practices in cloud and infrastructure management

Qualifications & Skills:

• Proven experience with CI/CD pipeline setup and maintenance (GitLab, Jenkins, etc.)
• Strong understanding of Infrastructure as Code using Terraform, ARM templates, or similar tools
• Hands-on experience with containerisation and orchestration technologies such as Docker and Kubernetes
• In-depth knowledge of cloud platforms, especially Azure
• Experience with monitoring and logging tools like Prometheus and Grafana
• Familiarity with supporting AI/ML workloads is preferred
• Strong problem-solving skills and ability to work collaboratively in a fast-paced environment

Multi-Year Project - Flexible Start Date - Competitive Rates - London based (x3 days in office) - FTE or Contract

Synechron's Diversity Statement

Synechron are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference' is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.