Jobgether
Jobgether

Staff Engineer - DevX

engineeringfull-timeAustralia
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
general
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About the role

Accountabilities

    • Own the end-to-end developer experience across CI, build tooling, codebase health, deployment paths, and AI-assisted development workflows.
    • Lead initiatives designed to significantly increase engineering productivity, establishing meaningful metrics and measurement frameworks that reflect both speed and quality.
    • Stay hands-on by writing and shipping production code, making high-impact changes across multiple languages, services, and unfamiliar parts of the technology stack.
    • Identify bottlenecks in engineering workflows and implement practical solutions that reduce friction, improve delivery speed, and raise development quality.
    • Evaluate, introduce, and continuously improve agentic coding tools and AI-powered development workflows, measuring their effectiveness and adoption.
    • Build strong relationships across engineering teams, gain alignment without formal authority, and remove technical or organizational roadblocks.
    • Drive improvements to CI/CD pipelines, build systems, deployment processes, and engineering tooling.
    • Promote sustainable developer productivity practices while balancing speed, reliability, code quality, and engineering standards.
    • Instrument and analyze developer productivity signals, using imperfect data and qualitative feedback to guide informed decisions.
    • Establish reusable practices and systems that improve engineering effectiveness at scale.
    • Requirements

      • Strong software engineering background with substantial production experience and a continued willingness to write and ship code.
      • Experience in platform engineering, developer experience, developer tooling, or a similar role where you have directly improved engineering productivity.
      • Demonstrated success making engineering teams measurably faster or more effective, with a clear understanding of what worked, what did not, and why.
      • Experience operating at meaningful technical or organizational scale and familiarity with the challenges that emerge as engineering teams and systems grow.
      • Strong hands-on experience with AI-assisted and agentic coding tools, including the ability to assess when to trust, modify, validate, or reject AI-generated work.
      • Strong understanding of software development workflows, CI/CD, build systems, deployment processes, and engineering productivity.
      • Ability to work effectively across multiple languages, technologies, and services rather than being limited to a single technical stack.
      • Strong influencing and communication skills, with the ability to build trust, gain buy-in, and lead initiatives without direct managerial authority.
      • Excellent judgment and a willingness to challenge assumptions, experiment, and take sensible technical risks.
      • Comfort working with ambiguity and imperfect measurement signals while maintaining a strong focus on meaningful outcomes.
      • Strong analytical, problem-solving, and systems-thinking abilities.
      • Experience instrumenting, analyzing, or reporting on developer productivity is highly valuable.
      • Experience in a high-performance engineering environment where speed, autonomy, and continuous improvement are genuine priorities is a plus.
      • Deep CI/CD expertise, particularly experience diagnosing and accelerating slow or complex pipelines, is advantageous.
      • Benefits

        • Fully remote working environment with the flexibility to work from anywhere in the world for up to 6 weeks per year.
        • 20 days of paid annual leave plus 10 days of sick and carer's leave.
        • 16 weeks of paid parental leave for primary carers and 6 weeks for secondary carers.
        • Remote-work allowance to support home-office equipment, coworking spaces, or alternative work environments.
        • Confidential Employee Assistance Program and mental health support.
        • Dedicated time and budget for learning, conferences, courses, coaching, and professional development.
        • Retirement and health coverage, depending on your location.
        • Opportunity to work on technology used by leading engineering teams operating at significant scale.
        • High degree of autonomy and trust, with the freedom to experiment and take meaningful ownership.
        • Exact benefits may vary depending on country and location.
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