Lead DevOps Engineer

My Dublin based client that is in the Utility Industry is looking for a Lead DevOps Engineer to join their team.

Job Responsibilities

• Working with data scientists on refining their algorithms for production deployment, performance, model accuracy and artifact management, along with automating & streamlining parts of this process;
• Owning and developing the deployment strategy for data processing and machine learning platforms using infrastructure practices as code on Microsoft Azure;
• Ensure that the infrastructure and code is delivered incrementally and according to the internal security deployment policies;
• Author high-quality, high-performance, unit-tested code to extract and transform data based on business and data science needs;
• Ensure pipelines are deployable and sustainable at scale and meets the business needs;
• Mentoring and building out a small team of DevOps and MLOps engineers;
• Working directly with stakeholders, engineering, and test to create high quality solutions that solve end-user problems;
• Developing and executing agile work plans for iterative and incremental project delivery; and
• Demonstrate exceptional impact in delivery of projects, products and/or platforms in terms of scalable data processing and application architectures, technical deliverables and delivery throughout the project lifecycle.

Experience Required

• Experience in the managing of deployment to cloud systems (preferably Microsoft Azure) through Infrastructure As Code solution (preferably Terraform);
• Knowledge of cloud based networking, access management and security, log analysis etc;
• Bachelor degree (Masters advantageous) in computer science or equivalent software engineering discipline;
• Experience in the deployment and management of Kubernetes clusters, writing Docker images & image management;
• Experience researching and applying devops best practices in processes such as git branching strategies, version control and code review process;
• Design and implementation of devops pipelines to validate, build, test, and deploy different content such as scale packages, docker packages and python packages;
• Experience implementing automated solutions to improve code quality e.g unit testing, integration etc.;
• Strong problem solving and software debugging skills;
• Effectively explain technical concepts & whiteboarding; and
• Experience with Agile development methodologies.