Senior DevOps Engineer

TurinTech AI; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

TurinTech AI is seeking a DevOps Engineer to shape DevOps practices across the company, managing cloud and on-prem infrastructures, CI/CD, and monitoring solutions. This pivotal role offers ownership and variety, with a chance to work with cutting-edge AI technologies in a vibrant London setting.

Benefits

25 days holiday

Central London office

All equipment provided

Work with cutting-edge technologies

Opportunity in the AI sector

Qualifications

• Experience as a DevOps Engineer or similar role.
• Strong expertise in cloud services, especially GCP.
• Hands-on experience with Kubernetes and Docker.

Responsibilities

• Design and manage resilient infrastructure on GCP.
• Develop CI/CD pipelines using Kubernetes and Docker.
• Automate infrastructure using Terraform.

Skills

GCP

Kubernetes

Docker

Terraform

CI/CD

Scripting

Problem-Solving

Communication

Job description

Direct message the job poster from TurinTech AI

At TurinTech AI, we’re building state-of-the-art AI developer tools to help engineers optimize, refactor, and migrate code — with speed, scale, and intelligence. Our flagship product, Artemis, supports both individual developers and large engineering teams inside banks, tech giants, and enterprise platforms.

Role Overview

As one of only two DevOps Engineers at TurinTech AI, you'll be joining at a pivotal time with the chance to shape how DevOps is done across the company. You'll have broad responsibilities spanning cloud and on-prem infrastructure, CI/CD pipelines, releases, monitoring, and more. This is a high-impact role, ideal for someone who thrives on ownership and variety, and is excited by the opportunity to build and run systems end-to-end. You'll work closely with development teams using technologies like GCP, AWS, GitHub Actions, Kubernetes, Docker.

Responsibilities

• Design, implement, and manage scalable, secure, and resilient infrastructure on GCP.
• Develop and maintain CI/CD pipelines using Kubernetes and Docker for seamless deployment.
• Automate infrastructure provisioning and configuration management using Terraform.
• Monitor system performance, identify bottlenecks, and implement solutions to improve reliability and performance.
• Collaborate with cross-functional teams to define and implement best practices for deployment, monitoring, and incident response.
• Ensure security best practices are followed and assist in compliance efforts.
• Troubleshoot and resolve infrastructure-related issues in a timely manner.
• Stay up-to-date with the latest industry trends and technologies to continuously improve our infrastructure.

Key Requirements

• Proven experience as a DevOps Engineer or in a similar role.
• Strong expertise in GCP services and architecture.
• Hands-on experience with Kubernetes and Docker for container orchestration and management.
• Proficiency in using Terraform or alternatives for infrastructure as code.
• Solid understanding of CI/CD pipelines and tools (e.g., Github CI, GitLab CI, CircleCI, Jenkins).
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
• Strong scripting skills (e.g., Bash, Python) for automation tasks.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Experience

• Experience with other cloud platforms (e.g GCP, Azure).
• Knowledge of security best practices and compliance standards.
• Experience with configuration management tools (e.g., Ansible, Chef, Puppet).
• Familiarity with microservices architecture and related technologies.
• 25 days holiday.
• Central London office.
• All the equipment you need.
• Opportunity to work with cutting-edge technologies and a talented team.
• Being part of the rapidly advancing AI industry.

TurinTech.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

*No recruitment agencies please*

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Technology, Information and Internet

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