Developer Experience Lead

Responsibilities

• 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

• 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.

Certifications & Qualifications

• Bachelor's degree in Computer Science
• Bachelor's degree in Engineering
• related discipline

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