DataOps Engineer

What you will be doing:

• Collaborate closely with the development team to deploy and maintain application infrastructure.
• Assist in the development and support of tooling to streamline the deployment and maintenance of our products.
• Work with Kubernetes, Docker, and Helm to deploy applications from development through to production environments.
• Support both in-house and third-party applications, including handling deployments, upgrades, and troubleshooting.
• Write and manage automation pipelines for application deployment and maintenance.
• Engage in the day-to-day management of Linux servers via the command line.
• Document processes and best practices clearly and concisely.
• Assist in deploying, monitoring, and maintaining data pipelines, ETL/ELT processes, and data infrastructure.
• Collaborate with data engineers to support data workflows and ensure timely and accurate data delivery.

What you will bring to the role:

• 3-5 years of experience in DevOps Engineering or a related field.
• Experience with Linux command line and networking, particularly within Kubernetes environments.
• A willingness to dive into both complex systems and more routine tasks, ensuring that everything runs smoothly.
• A foundational understanding of security best practices.
• An eagerness to learn and adopt best practices around containerization and application performance within containers.
• Experience working with distributed and remote teams.
• An understanding of scripting languages like Bash, Python, or Go.

• Experience with Kubernetes and Helm templating.
• Familiarity with cloud infrastructure, particularly AWS.
• Previous experience with tools such as Elasticsearch, RabbitMQ, MySQL, Ansible, Redis, and Jenkins.
• Experience with data warehouse products such as MSSQL and Snowflake.

Diversity, Inclusion, and Equal Opportunity