As the Lead DevOps Engineer, you will join a multidisciplinary team to manage the entire application lifecycle and infrastructure using infrastructure as code (IaC), CI/CD pipelines, and DevSecOps best practices, while also driving data quality, mentoring junior colleagues, and fostering a strong devOps engineering community.

You will:

• Provide technical guidance for the development of robust, automated CI/CD pipelines and infrastructure as code (IaC) for our software platforms, encompassing DevSecOps best practices from security to monitoring.

• Ensure our tools and deployment techniques are scalable, secure, and efficient.

• Be responsible for ensuring the right DevOps practices are embedded consistently and to industry standards across our digital service delivery teams.

• Develop the DevOps capability by creating learning and development (L&D) pathways, shaping career paths, and recruiting new talent to the organization.

• Provide leadership and guidance to a team of DevOps and platform engineers, further developing your own leadership and technical skills.

Main Responsibilities

• DevOps Solution Delivery: Designing, building, and delivering automated, scalable, and secure CI/CD pipelines and infrastructure as code within cloud environments like AWS, Azure, and Google Cloud Platform. This includes automating software delivery from code commit to production deployment and ensuring seamless integration between platforms.

• Collaboration & Partnership: Drive high build quality and operational excellence by ensuring the stability, security, and resilience of products. This includes embedding modern CI/CD, monitoring, and observability practices.

• Quality & Operational Excellence: Driving high build and data quality, ensuring stability, robustness, and resilience of products, and embedding Agile, CI/CD, and DevOps practices.

• Leadership & Community Building: Mentor and guide junior team members, fostering professional development and building a DevOps community. Review solutions, troubleshoot complex issues, and proactively drive innovation and the adoption of new technologies.

• Stakeholder Engagement & Problem Solving: Communicating complex data solutions and championing innovative approaches to diverse stakeholders, while also anticipating and resolving intricate data engineering challenges and building consensus to align data designs with organizational goals.

• Foster a positive and inclusive team environment that promotes wellbeing, collaboration, and a supportive culture aligned with departmental values.