At a Glance
- Tasks: Build and maintain infrastructure for high-quality software delivery using cutting-edge tools.
- Company: Join a forward-thinking tech company with a collaborative culture.
- Benefits: Enjoy competitive pay, flexible working, and a generous development budget.
- Other info: Great career growth opportunities and a supportive team atmosphere.
- Why this job: Make a real impact in a dynamic environment while shaping the future of technology.
- Qualifications: Hands-on experience with Linux, Docker, and cloud services required.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a Senior DevOps Engineer to help build and maintain the infrastructure, tooling and processes that enable our engineering teams to deliver high‑quality software quickly and reliably for our clients and internal processes. You will work closely with our Software Engineers, as well as client tech teams, developing the full lifecycle of environments and CI/CD pipelines across multiple clouds (Azure, AWS and occasionally GCP) and our on‑premise data centre. You will be instrumental in improving reliability and observability for the ADSP delivery team and our clients.
KEY RESPONSIBILITIES:
- Design, build and maintain infrastructure on Azure and AWS (and occasionally GCP) using infrastructure‑as‑code.
- Standardise and optimise Docker images for our Python and TypeScript services.
- Manage container runtimes and orchestration platforms (e.g. Docker Compose, Kubernetes, ECS, AKS, etc.).
- Implement image scanning, registry management and deployment strategies (blue/green, canary, rolling).
- Design and maintain CI/CD pipelines to build, test and deploy applications across environments.
- Integrate automated testing, security checks and quality gates into the pipelines.
- Automate repetitive operational tasks using scripts and tooling (Python, Bash, etc.).
- Collaborate with developers to define branching strategies, release processes and rollback procedures.
- Implement and maintain monitoring, logging and alerting for applications and infrastructure.
- Participate in incident response, root‑cause analysis and post‑incident reviews.
- Work with security and engineering teams to implement best practices for secrets management, access control and hardening of Linux, cloud resources and container images.
- Contribute to backup, disaster recovery and business continuity planning.
- Improve the local and remote development experience inside Linux VMs (tooling, environment consistency, documentation).
- Provide guidance and support to engineering teams on the use of Docker, cloud services and deployment tools effectively.
- Champion DevOps culture, promoting automation, observability and continuous improvement.
- Communicate with clients through written reports, calls and presentations to explain your work and recommendations.
- Work closely with client tech teams to understand their requirements, integrate with their existing tooling and processes, and design appropriate DevOps solutions.
- Support the handover of infrastructure, pipelines and operational runbooks to client teams, ensuring they can operate and evolve the solution.
- Represent the DevOps perspective in client workshops, discovery sessions and architecture/design reviews.
KEY REQUIREMENTS:
- Strong hands‑on experience with Linux (preferably in a server or VM context).
- Strong practical experience with Docker (creating, optimising and running containers in production).
- Experience with at least one major cloud provider (Azure or AWS) in a production environment; familiarity with the other and/or GCP is a plus.
- Experience designing and maintaining CI/CD pipelines (e.g. Azure DevOps, GitLab CI, GitHub Actions, CircleCI, Jenkins, etc.).
- Proficiency with at least one scripting or programming language (e.g. Python, Bash).
- Experience with infrastructure‑as‑code (e.g. Terraform, ARM/Bicep, CloudFormation, Pulumi).
- Understanding of networking fundamentals (DNS, routing, load balancing, VPNs, firewalls).
- Familiarity with monitoring and logging tools (e.g. Prometheus, Grafana, ELK/EFK stack, CloudWatch, Azure Monitor, Datadog, etc.).
- Good understanding of security best practices in cloud and Linux environments (IAM, least privilege, secrets management, patching).
- Experience presenting technical concepts to stakeholders.
- Ability to work independently and as part of a team.
INTERVIEW PROCESS:
- Stage 1: 20 min video call with a member of the hiring team
- Stage 2: 45 mins task
- Stage 3: 90 min F2F interview in our London office
OUR BENEFITS:
- Competitive compensation package including annual performance bonus
- 26 days of annual leave, 8 bank holidays plus your birthday off
- BUPA Private Healthcare
- Enhanced family leave
- £1,000 annual development budget
- Flexible hybrid working (2 days a week in our modern Shoreditch office)
- Remote working from anywhere in the world for up to 4 weeks each year
- Latest tech that suits your needs: high‑spec Windows machine or a MacBook
- Free snacks and drinks, and regular team socials
- Supportive entrepreneurial environment offering a ton of autonomy and opportunity to work on a variety of projects, technologies and industries
Join us and realise your full potential in a collaborative, forward‑thinking team, where your work will help shape the future.
OUR COMMITMENT TO DEI:
At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at careers@adsp.ai
Senior DevOps Engineer employer: Applied Data Science Partners
Applied Data Science Partners is an exceptional employer that fosters a collaborative and innovative work culture, perfect for Senior Machine Learning Engineers looking to make a significant impact. With a generous £1k development budget, employees are encouraged to pursue continuous learning and growth, while the hybrid role offers flexibility to balance work and personal life. Located in a vibrant area, the company provides unique opportunities to engage with diverse client projects, ensuring that every team member contributes to meaningful data science outcomes.
Contact Details:
Applied Data Science Partners Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior DevOps Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their tech stack, and be ready to discuss how your skills align with their needs. Practise common DevOps scenarios and be ready to showcase your problem-solving skills.
✨Tip Number 3
Show off your projects! Whether it's a GitHub repo or a personal website, having tangible examples of your work can set you apart. Make sure to highlight any CI/CD pipelines or cloud infrastructure you've built.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team and contributing to our mission.
We think you need these skills to ace Senior DevOps Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior DevOps Engineer role. Highlight your hands-on experience with Linux, Docker, and cloud providers like Azure and AWS. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about DevOps and how your background aligns with our mission at StudySmarter. Don’t forget to mention any relevant projects or achievements.
Showcase Your Technical Skills:In your application, be sure to highlight your experience with CI/CD pipelines and infrastructure-as-code tools. We love seeing practical examples of how you've implemented these in past roles, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Applied Data Science Partners
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Azure, AWS, and Docker. Brush up on your knowledge of CI/CD pipelines and infrastructure-as-code tools like Terraform or CloudFormation. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Prepare for Practical Tasks
Since there's a task in the interview process, practice similar scenarios beforehand. Set up a small project where you can design a CI/CD pipeline or manage Docker containers. This hands-on experience will not only boost your confidence but also give you real examples to discuss during the interview.
✨Showcase Your Problem-Solving Skills
Be ready to talk about past incidents you've handled, particularly those involving root-cause analysis or post-incident reviews. Highlight how you approached the problem, what tools you used, and the outcome. This will demonstrate your ability to think critically and act decisively under pressure.
✨Communicate Clearly
Since you'll be explaining technical concepts to various stakeholders, practice articulating your thoughts clearly and concisely. Use simple language when necessary and be prepared to answer questions. Good communication skills are just as important as technical expertise in this role.
