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Developer Experience Lead

Posted 23 hours 16 minutes ago by Jobtailor

Permanent

Full Time

Other

Dublin, Ireland

Job Description

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