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Tech Stack
Tools & technologiesCloudMicroservicesSDLC
About the role
Key responsibilities & impact- Define and execute the Developer Experience and Engineering Operations roadmap, aligned to EXL's Products, Platforms and AI engineering priorities.
- Identify the highest-friction points in the engineering lifecycle through developer interviews, workflow analysis, metrics, delivery retrospectives and leadership input.
- Establish practical engineering standards, golden paths, reusable templates, delivery playbooks and reference workflows that help teams build and operate solutions consistently.
- Partner with Architecture, Platform Engineering, Cloud, DevOps, Security and Product Engineering teams to improve CI/CD, local development, build and test automation, environment management, release readiness, observability and operational feedback loops.
- Drive responsible AI adoption across the SDLC, including AI coding assistants, code review support, test generation, documentation automation, knowledge retrieval and agentic workflow opportunities.
- Create clear guidance for AI-assisted engineering practices, including appropriate use, security boundaries, data handling, prompt and context patterns, review expectations and quality controls.
- Evangelise EXLerate.ai and related platform capabilities across engineering teams, helping teams understand where the platform should be used, how reusable assets should be created, and how AI-enabled solutions should be governed and operated.
- Develop enablement programmes such as communities of practice, office hours, playbooks, internal demos, workshops, onboarding journeys and hands-on adoption campaigns.
- Own the developer tooling adoption approach across IDEs, source control, CI/CD, documentation, internal portals, AI tools and engineering intelligence platforms, ensuring tools are useful, governed and adopted for measurable value.
- Define a measurement framework for Developer Experience, including adoption, satisfaction, friction reduction, cycle time, build and test reliability, onboarding time, tool effectiveness, quality signals and AI-assisted engineering outcomes.
- Create structured feedback loops so engineering teams can contribute to standards, improve shared workflows and influence the roadmap for internal platforms and tools.
- Support engineering leaders in improving delivery transparency, operating cadences, decision management, documentation discipline and cross-team dependency management.
- Ensure Developer Experience improvements are aligned with security, compliance, responsible AI, architecture governance and operational risk expectations.
Requirements
What you’ll need- Significant experience in software engineering, platform engineering, developer experience, architecture, DevOps, SRE or engineering operations roles.
- Demonstrable track record improving developer productivity, engineering standards or delivery effectiveness across a multi-team engineering organization.
- Strong understanding of modern software delivery practices, including cloud-native development, APIs, microservices, CI/CD, test automation, secure SDLC, observability, operational readiness and release management.
- Experience defining standards, playbooks or golden paths that improve consistency while preserving team autonomy and delivery speed.
- Practical knowledge of modern engineering toolchains such as GitHub, GitLab or Bitbucket; CI/CD platforms; infrastructure as code; containers; developer portals; documentation platforms; IDEs; and AI-assisted development tools.
- Experience evaluating, rolling out or governing AI tools, automation or productivity platforms within an engineering organisation.
- Ability to influence senior engineering, architecture, product, security and operations stakeholders without relying solely on formal authority.
- Strong written and verbal communication skills, with the ability to translate technical practices into clear guidance, adoption plans, executive updates and enablement materials.
- Data-informed approach to decision-making, with experience using metrics, qualitative feedback and adoption data to prioritise improvements.
- Experience working with globally distributed teams and creating practices that work across locations, time zones and delivery cultures.
- Bachelor's degree in Computer Science, Engineering or a related discipline, or equivalent practical experience.
Benefits
Comp & perks- A competitive salary with a generous bonus
- Private healthcare
- Life assurance at 4 x your annual salary
- Income protection insurance
- A rewarding pension
- Professional and personal development opportunities
- Learning initiatives including online courses, seminars, and workshops
- Equal Opportunity Employer committed to diversity
- Flexible hybrid working model
ATS Keywords
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Hard Skills & Tools
software engineeringplatform engineeringdeveloper experiencearchitectureDevOpsSREengineering operationscloud-native developmentAPIsmicroservices
Soft Skills
influencecommunicationdecision managementdocumentation disciplinecross-team dependency managementdata-informed decision-makingcollaborationleadershipproblem-solvingadaptability
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Engineeringrelated discipline