Software Engineer

About the Role We are looking for a highly skilled Software Engineer with strong AI ML expertise and a foundational understanding of SRE principles to help transform reliability engineering through intelligent automation-driven solutions This role is not just about applying AI it s about applying engineering mindset and AI capabilities to reliability problems You should be comfortable writing clean maintainable code and have a understanding of SRE principles such as observability incident response and automation By combining software skills with practical knowledge of operational challenges you ll help eliminate toil drive proactive reliability improvements and embed intelligence into day-to-day engineering workflows Your efforts will directly contribute to unifying reliability efforts across teams enabling consistent engineering standards and fostering a shared accountability model for service health By driving operational discipline and aligning reliability goals with business priorities you will help create a culture where platform stability developer productivity and customer experience go hand in hand These contributions will play a vital role in supporting the organization s broader strategy enabling faster innovation scalable growth and a resilient technology foundation aligned with long-term business outcomes Key Responsibilities Support initiatives to enhance SRE capabilities using AI ML ensuring strong foundations in reliability engineering and operational excellence Leverage AI and machine learning technologies to architect and implement solutions that advance the overall SRE agenda improving reliability automation observability and operational efficiency across complex systems Contribute to incident management change management and release processes bringing structure automation and intelligent insights to drive stability safety and velocity Participate and Drive key SRE practices and routines including initiation and facilitation of SRE Community of Practice CoP aligning SLAs SLOs launching error budget governance and enabling data-driven process improvements across reliability areas Partner effectively with SREs platform engineers and data teams to develop production-grade measurable and reliable models and tools Develop and maintain internal frameworks and tooling to accelerate AI ML adoption across reliability use cases Partner Understand and assist in driving Zero-Touch Operations by enabling platforms to detect analyze and resolve issues autonomously Utilize metrics logs and historical incident data to build actionable insights and reliability dashboards Actively participate in on-call rotations improving incident response processes and escalation management Integrate security best practices into workflows and collaborate with security teams to ensure platform stability Contribute significantly to shaping the AI-in-SRE strategy and mentor junior team members Required Skills Qualifications 3-6 years of experience as a software engineer or platform engineer with a strong focus on building production-grade systems developer tooling or intelligent automation LLM-Native Development Approach- Proficiency in leveraging LLM-powered tools e g for research code generation or automation Demonstrated experience building AI-assisted workflows or custom automations that enhance engineering efficiency reduce manual effort or accelerate operational tasks Proficient in Python Go or equivalent with strong software engineering fundamentals testing version control CI CD and clean code practices Understanding of core SRE principles SLIs SLOs incident response error budgets with the ability to partner with SREs to productionize reliability tooling Hands-on experience with cloud platforms AWS GCP Azure containers orchestration Docker Kubernetes and infrastructure-as-code patterns Familiarity with observability and telemetry systems building or integrating with tools like Prometheus OpenTelemetry or Elastic stack Comfortable working with Linux-based systems debugging performance issues and understanding systems-level behavior Ability to translate operational pain points into intelligent automated solutions using software AI and data-driven techniques Preferred Qualifications Advanced SRE Practice Exposure Familiarity with operating in mature SRE environments such as participating in production readiness reviews chaos engineering exercises Capacity planning Error budget governance and operational health reviews etc Exposure to building AI-assisted tools using LLMs vector databases or prompt engineering techniques to streamline engineering or operational workflows would be a big plus Maersk is committed to a diverse and inclusive workplace and we embrace different styles of thinking Maersk is an equal opportunities employer and welcomes applicants without regard to race colour gender sex age religion creed national origin ancestry citizenship marital status sexual orientation physical or mental disability medical condition pregnancy or parental leave veteran status gender identity genetic information or any other characteristic protected by applicable law We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements We are happy to support your need for any adjustments during the application and hiring process If you need special assistance or an accommodation to use our website apply for a position or to perform a job please contact us by emailing