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- Tasks: Lead a team in deploying AI systems and building secure infrastructure.
- Company: High-trust tech consultancy delivering innovative AI solutions.
- Benefits: Hybrid working, real impact projects, and technical autonomy.
- Other info: Opportunity to shape technology and team culture in a dynamic environment.
- Why this job: Join the forefront of AI infrastructure with national importance.
- Qualifications: Experience with Docker, CI/CD, Python, and strong communication skills.
The predicted salary is between 55000 - 70000 £ per year.
We're partnering with a high-trust technology consultancy delivering cutting-edge AI solutions into highly sensitive government environments. We're looking for Mid or Senior level Engineers with a strong DevOps and infrastructure background to join a high-performing technical team working at the intersection of applied AI research and real-world mission delivery.
This role sits across DevOps engineering, applied AI systems, and client advisory - ideal for someone who enjoys both building robust, scalable infrastructure and seeing it drive genuine operational impact.
The role:
- Lead and support a small technical team in containerising, deploying and operationalising AI/ML research systems
- Bridge the gap between cutting-edge AI research and production-ready infrastructure
- Design and maintain secure CI/CD pipelines and container orchestration solutions in high-security environments
- Translate complex infrastructure concepts into clear, actionable insight for non-technical stakeholders
- Lead delivery of secure, high-impact R&D and productisation projects
- Mentor engineers and shape technical direction around DevOps best practice
- Contribute to identifying and shaping future opportunities at the intersection of AI and infrastructure
What we're looking for:
- Strong hands-on experience with Docker and container orchestration (Docker Compose, Kubernetes or similar)
- Solid Git workflow experience and familiarity with CI/CD tooling
- Comfortable working in Python-based environments alongside ML/AI teams
- Experience productionising software - testing, deployment pipelines, monitoring and ongoing support
- Exposure to RESTful API design and frameworks such as FastAPI a bonus
- Exceptional communication skills - able to clearly explain infrastructure decisions to technical and non-technical audiences alike
- Comfortable operating in high-security, high-trust environments
- Strong problem-solving, analytical and technical leadership capability
Security Requirement:
Due to the nature of this role and associated security requirements, applicants must hold current DV security clearance.
Why this role?
- Work at the forefront of applied AI infrastructure in sensitive government domains
- High-impact projects with genuine national importance
- Real technical autonomy and influence over architecture and deployment approach
- Exposure to cutting-edge AI research being translated into operational systems
- Opportunity to shape both technology and team culture
DevOps Engineer employer: Salvada Talent
Contact Detail:
Salvada Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your DevOps projects, especially those involving Docker, Kubernetes, and CI/CD. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace DevOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Docker, Kubernetes, and CI/CD. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience in Python-based environments and any exposure to AI/ML.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working at the intersection of AI and infrastructure. We love seeing genuine enthusiasm, so let your personality come through while keeping it professional.
Showcase Communication Skills: Since this role involves translating complex concepts for non-technical stakeholders, make sure to highlight your exceptional communication skills. We want to know how you’ve successfully explained technical decisions in the past!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Salvada Talent
✨Know Your Tech Inside Out
Make sure you’re well-versed in Docker, Kubernetes, and CI/CD tools. Brush up on your Python skills too, as you'll likely be asked to discuss how you’ve used these technologies in past projects. Be ready to share specific examples of how you've containerised applications or built deployment pipelines.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in high-security environments and how you overcame them. Think of scenarios where you had to bridge the gap between technical and non-technical stakeholders, and be ready to explain your thought process clearly.
✨Demonstrate Leadership and Mentorship
Since this role involves leading a small technical team, highlight any experience you have in mentoring others. Share examples of how you've shaped technical direction or best practices in previous roles, and how you can bring that to the table at this new company.
✨Communicate Clearly and Confidently
Exceptional communication skills are key for this position. Practice explaining complex infrastructure concepts in simple terms. You might be asked to present your ideas to non-technical stakeholders, so being able to articulate your thoughts clearly will set you apart.