Senior Technical Consultant DevOps

Job Title: Senior Technical Consultant - DevOps
Job Type: Full Time
Location: London UK - Hybrid

About CloudBees

CloudBees helps organizations build run and govern software factories giving enterprises the confidence to ship software better faster and safer.

Writing code is no longer the bottleneck. Governing what reaches production and validating its impact is. As enterprises adopt agentic coding software is created faster than most teams can review secure and validate. Without consistent governance organizations risk shipping code they cannot explain audit or trust.

CloudBees addresses this challenge without asking teams to replace the tools they already use. Across every toolchain a customer runs CloudBees makes each change human or AI visible auditable and accountable before it reaches production. CloudBees Unify is the product behind this: a governance layer with context and control-plane capabilities that enforces consistent policy and evidence across every tool team and workflow.

Founded in 2010 CloudBees is backed by Goldman Sachs Morgan Stanley Bridgepoint Capital HSBC Golub Capital Delta-v Capital Matrix Partners and Lightspeed Venture Partners.

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Our Consultants are strategic partners helping enterprises transform how software is built secured and delivered working at the intersection of DevOps Platform Engineering and AI-powered software delivery.

The role blends strategic advisory technical leadership and hands-on delivery. Youll lead executive discussions on platform and AI strategy one day and work directly with engineering teams to design delivery platforms and automate workflows the next including hands-on troubleshooting where it delivers immediate value. Throughout youll act as a trusted advisor helping customers navigate both technology and organizational change guiding them toward modern software factories that combine human expertise with AI-powered capability.

• Act as a trusted advisor helping customers define and execute software delivery platform engineering and AI adoption strategies aligned to business outcomes.
• Assess current delivery capabilities and build transformation roadmaps that improve productivity security and operational efficiency.
• Design modern DevOps Platform Engineering and AI-enabled delivery architectures; lead discovery workshops and architecture reviews.
• Build proofs of concept reference architectures and pilot programs that demonstrate measurable value.
• Guide customers in adopting AI-assisted development agentic workflows and intelligent automation.
• Communicate effectively across audiences from engineers to executive leadership.
• Partner with Sales Solution Engineering Product and Services teams to deliver customer outcomes and support critical escalations.
• Serve as the voice of the customer feeding field insights back into CloudBees product and go-to-market strategy.
• Develop deep expertise in CloudBees solutions and emerging practices (DevOps Platform Engineering AI-assisted development); contribute thought leadership through presentations workshops and enablement.
• Mentor colleagues and CloudBees partners and travel occasionally for customer workshops and company events.

Required:

• 7 years in consulting solutions architecture platform engineering DevOps SRE or related customer-facing technical roles.
• Proven experience advising customers on DevOps software delivery modernization platform engineering or cloud transformation.
• Strong grasp of CI/CD Infrastructure as Code GitOps observability security and cloud-native architecture with hands-on experience designing and implementing these at enterprise scale.
• Hands-on experience with a major public cloud (AWS Azure or GCP) containerization/orchestration (Docker Kubernetes) and a scripting/programming language (Python Shell Go Java or similar).
• Experience with CI/CD platforms such as CloudBees Jenkins GitHub GitLab Harness or Azure DevOps.
• Strong communication and facilitation skills; ability to translate technical concepts into business outcomes for audiences from engineers to executives.

Preferred (not required):

• Experience leading enterprise-wide DevOps Platform Engineering or software delivery transformation programs.
• Cloud Kubernetes DevOps or security certifications.
• Software development background and understanding of modern application architectures.
• Experience with platform strategy DevEx or internal developer platforms (IDPs).
• Familiarity with AI-enabled development agentic workflows LLMs or AI governance.
• Experience with observability/telemetry platforms (OpenTelemetry Splunk Dynatrace Datadog AppDynamics Grafana).
• Experience in regulated or large-scale enterprise environments.
• Thought leadership via publications conference speaking or community involvement.

• Travel required
  Adjustments will be considered to accommodate individual needs in line with applicable equality and disability legislation.

• Summary of benefits: Pension Private Medical Life Insurance WFH Allowance

CloudBees is committed to providing equal opportunities in employment. We value diversity and inclusion and make decisions based on skills qualifications and experience. We do not discriminate on the basis of age disability gender identity marital or civil status pregnancy maternity race religion or belief sex or sexual orientation in accordance with applicable laws.

All personal data collected during the recruitment process will be processed in line with CloudBeess Privacy Policy and applicable data protection legislation including the EU General Data Protection Regulation (GDPR).

This job description provides an overview of the role and key responsibilities. It is not an exhaustive list and responsibilities may evolve in line with business needs.