Devops Engineer

London
6 months ago
Applications closed

Related Jobs

View all jobs

Junior Cloud DevOps Engineer Performance Science

Junior Cloud DevOps Engineer AI Applications

Machine Learning Engineer

C++ Software Engineer

Machine Learning Engineer

Lead MLOps Engineer

If you're an experienced AWS DevOps Engineer with a strong background in designing, building, and maintaining cloud infrastructure and deployment systems, we have a new remote contract role that may interest you.

Please note this role can be fully remote and has been deemed Inside IR35.

Key Responsibilities:

  • Infrastructure as Code (IaC): Design, develop, and maintain infrastructure using Terraform to support automated and auditable deployments. Establish best practices for IaC repository structure and version control.

  • Cloud Platform Management: Deploy and manage cloud resources primarily in AWS and Snowflake. Focus on scalability, performance, cost efficiency, and resilience across compute, storage, networking, and IAM.

  • Cloudflare Integration: Configure Cloudflare services, including DNS, edge security, caching, and performance features.

  • CI/CD Pipelines: Build and maintain CI/CD pipelines using GitHub Actions (or similar), automating deployment workflows across environments.

  • Observability & Monitoring: Implement monitoring, logging, and alerting solutions using tools like CloudWatch, Prometheus, or Grafana to maintain infrastructure health and performance.

  • Security & Operations: Follow DevSecOps best practices for secure infrastructure design. Manage secrets, scan for vulnerabilities, and support incident response procedures.

  • Collaboration: Work closely with cross-functional teams including development, data, and security. Participate in technical reviews, planning sessions, and architecture discussions.

  • Documentation: Maintain up-to-date technical documentation to support operational continuity and handovers.

  • Continuous Improvement: Recommend and implement improvements to architecture, tooling, and workflow automation.

    About You – Skills & Experience:

  • Strong hands-on experience with Terraform and infrastructure provisioning.

  • Deep expertise in AWS services such as EC2, S3, Lambda, RDS, IAM, VPC, and security groups.

  • Proficiency in managing Cloudflare configurations and security features.

  • Solid understanding of CI/CD principles and tooling, especially GitHub Actions.

  • Familiarity with monitoring and observability practices for distributed systems.

  • Strong written and verbal communication skills.

  • Problem-solver with a proactive mindset.

    Bonus Skills:

  • Experience with Snowflake for data warehousing and data operations.

  • Exposure to ML Ops practices and machine learning deployment.

  • Familiarity with security tools, vulnerability scanners, and compliance frameworks.

  • Experience with other IaC or configuration tools (e.g., Ansible, Chef, Puppet).

  • Understanding of container and orchestration platforms such as Docker and Kubernetes.

  • Scripting skills with Python, Bash, or similar

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.

Careers

How Many Robotics Tools Do You Need to Know to Get a Robotics Job?

If you’re pursuing a career in robotics, it can feel like the list of tools you should learn never ends. One job advert asks for ROS, another mentions Gazebo, another wants experience with Python, Linux, C++, RobotStudio, MATLAB/Simulink, perception stacks, control frameworks, real-time OS, vision libraries — and that’s just scratching the surface. With so many frameworks, languages and platforms, it’s no wonder robotics job seekers feel overwhelmed. But here’s the honest truth most recruiters won’t say explicitly: 👉 They don’t hire you because you know every tool — they hire you because you can apply the right tools to solve real robotics problems reliably and explain your reasoning clearly. Tools matter — but only in service of outcomes. So the real question isn’t how many tools you should know, but which tools you should master and why. For most robotics roles, the answer is significantly fewer — and far more focused — than you might assume. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable, confident, and ready to contribute from day one.

Jobs

What Hiring Managers Look for First in Robotics Job Applications (UK Guide)

Robotics is one of the most dynamic, interdisciplinary fields in technology — blending mechanical systems, embedded software, controls, perception (AI/vision), modelling, simulation and systems integration. Hiring managers in this space are highly selective because robotics teams need people who can solve real-world problems under constraints, work across disciplines, and deliver safe, reliable systems. And here’s the reality: hiring managers do not read every word of your CV. Like in many tech domains, they scan quickly — often forming a judgement in the first 10–20 seconds. In robotics, those first signals are especially important because the work is complex and there’s a wide range of candidate backgrounds. This guide unpacks exactly what hiring managers look for first in robotics applications and how to optimise your CV, portfolio and cover letter so you stand out in the UK market.

Education

The Skills Gap in Robotics Jobs: What Universities Aren’t Teaching

Robotics is no longer confined to science fiction or isolated research labs. Today, robots perform critical tasks across manufacturing, healthcare, logistics, agriculture, defence, hospitality and even education. In the UK, businesses are embracing automation to improve productivity, reduce costs and tackle labour shortages. Yet despite strong interest and a growing number of university programmes in robotics, many employers report a persistent problem: graduates are not job-ready for real-world robotics roles. This is not a question of intelligence or dedication. It is a widening skills gap between what universities teach and what employers actually need in robotics jobs. In this article, we’ll explore that gap in depth — what universities do well, where their programmes often fall short, why the disconnect exists, what employers really want, and how you can bridge the divide to build a thriving career in robotics.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.