Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

DevOps Lead

Cititec Talent
London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist - HFG

Data Scientist

Data Scientist

Data Scientist / Quant Engineer

Lead Machine Learning Engineer

Machine Learning Operations Lead

DevOps Lead

Location:London

As a DevOps Lead you will manage a team of talented DevOps engineers and drive the development of their advanced data and analytics platform on AWS. In this role, you’ll take the lead on designing and implementing scalable, secure infrastructure, collaborating closely with data engineers and scientists to support CI/CD pipelines and MLOps workflows. This is an opportunity to make a direct impact on the reliability and efficiency of a dynamic cloud platform.

Key Responsibilities:

  • Architect and implement robust CI/CD pipelines using AWS DevOps tools (CodePipeline, CodeBuild, CodeDeploy).
  • Design and implement infrastructure as code (IaC) solutions using CloudFormation and AWS CDK.
  • Automate infrastructure provisioning and configuration management with Ansible.
  • Script automation tasks using Python.
  • Manage and optimise Kubernetes clusters for containerized applications.
  • Collaborate with development teams to implement DevOps best practices.
  • Stay up-to-date with the latest DevOps tools and technologies.
  • Lead and mentor a team of DevOps engineers.
  • Recruit, hire, and onboard new team members.
  • Foster a culture of continuous improvement and innovation.
  • Set clear goals and performance expectations.

Requirements:

  • Strong proficiency in AWS services, including EC2, VPC, S3, IAM, and Lambda.
  • Expertise in Infrastructure as Code (IaC) tools like CloudFormation and AWS CDK.
  • Proficiency in scripting languages like Python and Bash.
  • Experience with configuration management tools like Ansible.
  • Solid understanding of CI/CD pipelines and DevOps practices.
  • Experience with containerization technologies like Docker and Kubernetes.
  • Strong networking and security knowledge.
  • Excellent problem-solving and troubleshooting skills.
  • Strong leadership and communication skills.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.