Senior DevSecOps Engineer
Capco is hiring a Senior DevSecOps Engineer in London, United Kingdom. Level rates it ; you can apply on Capco.
Level's read on this job
- Level rates this cybersecurity role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions AI safety among its tools and skills.
- Level classes it as a senior role.
- Capco has 702 other open roles on Level.
- Posted in the last few days.
AI in this role
Senior DevSecOps Engineer
Location: London | Practice Area: Technology & Engineering | Type: Permanent
Build the platforms that power secure, intelligent and scalable enterprise engineering.
The Role
At Capco, we're looking for a Senior DevSecOps Engineer to help design, build and modernise enterprise software delivery capabilities for leading financial services organisations.
You'll play a key role in developing a modern enterprise Software Development Lifecycle (SDLC) platform, with a focus on CI/CD automation, policy-as-code, security controls and cloud-native engineering.
This is a hands-on engineering opportunity where you'll translate architecture into production-ready capabilities, integrate complex enterprise technologies and support engineering teams in adopting scalable, secure delivery practices.
You'll also explore approved AI-enabled engineering tools and workflows to improve development productivity, automation and delivery quality, while maintaining appropriate human oversight, security controls and responsible AI practices.
What You’ll Do
- Build modern CI/CD platforms: Design, develop and implement enterprise GitLab SaaS CI/CD pipelines, reusable engineering patterns and automated workflows, leveraging approved AI-assisted engineering capabilities where appropriate to improve efficiency and quality.
- Embed security and governance: Implement policy-as-code, automated security and quality gates, change controls, SAST, DAST, secrets management and vulnerability management throughout the SDLC.
- Engineer cloud-native solutions: Build and integrate services across Azure, Kubernetes and Azure API Management, supporting application, cloud and data workloads, including Snowflake and Salesforce.
- Modernise enterprise engineering environments: Support migrations from legacy Jenkins, GitLab, SonarQube, Artifactory/Nexus and AWS environments, integrating observability capabilities using Grafana and Prometheus.
- Enable engineering teams: Translate target architecture into working production capabilities, develop reusable platform services and onboard engineering teams, promoting responsible AI-enabled workflows with appropriate review, auditability and human decision-making.
What We’re Looking For
- GitLab and Azure expertise: Extensive hands-on experience designing, building and operating enterprise GitLab CI/CD pipelines and Azure-based engineering solutions.
- Cloud-native engineering: Strong practical experience with Kubernetes, DevSecOps principles, infrastructure automation and policy-as-code.
- Security and governance integration: Experience embedding identity, security controls, automated testing, quality gates and compliance requirements into enterprise delivery pipelines.
- Enterprise modernisation: Demonstrated experience modernising complex engineering environments, integrating multiple technologies and delivering scalable, production-ready platform capabilities.
- Technical leadership and delivery: Ability to take architectural designs through implementation, collaborate with engineering teams and support knowledge transfer, with an interest in applying approved AI tools and automation responsibly to improve engineering outcomes.
Bonus Points For
- Experience integrating Azure API Management with cloud-native platforms and enterprise applications.
- Familiarity with Snowflake, Salesforce and engineering patterns supporting data-intensive workloads.
- Experience migrating from Jenkins, SonarQube, Artifactory/Nexus or AWS-based engineering environments.
- Knowledge of Grafana, Prometheus and enterprise observability practices.
- Experience using AI-assisted development tools or AI-enabled DevSecOps workflows, with an understanding of responsible AI, human review and appropriate security guardrails.
Why Join Capco
- Deliver high-impact technology solutions for Tier 1 financial institutions.
- Work in a collaborative, flat, and entrepreneurial consulting culture.
- Access continuous learning, training, and industry certifications.
- Be part of a team shaping the future of digital financial services.
- Help shape the future of digital transformation across FS & Energy.
Benefits
We offer a competitive, people-first benefits package designed to support every aspect of your life:
- Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
- Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
- Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
- Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
- Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
- Continuous Learning: Your growth, your way – minimum 40 hours of training annually. Take your pick: workshops, certifications, e-learning. Plus, a Business Coach assigned from Day One to provide one-on-one guidance to support your goals and development.
- Healthcare Access: Convenient online GP services.
- Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.
Inclusion at Capco
We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we'll be happy to help.
We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
#LI-DNI
How we rate this
Senior DevSecOps Engineer at Capco rates 64 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in cybersecurity jobs at this level
Pay
- Typical cybersecurity job
- $159k
This posting doesn't list pay. Use the typical cybersecurity figure when pay comes up. See cybersecurity jobs
Questions you could be asked
- How do you think about the risk of an AI system in this kind of role failing silently?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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