Senior DevOps/MLOps

About the role

Who we are:

For over 25 years, Global Relay has set the standard in enterprise information archiving with industry-leading cloud archiving, surveillance, eDiscovery, and analytics solutions. We securely capture and preserve the communications data of the world’s most highly regulated firms, giving them greater visibility and control over their information and ensuring compliance with stringent regulations.

Though we offer competitive compensation and benefits and all the other perks one would expect from an established company, we are not your typical technology company. Global Relay is a career-building company. A place for big ideas. New challenges. Groundbreaking innovation. It’s a place where you can genuinely make an impact – and be recognized for it.

We believe great businesses thrive on diversity, inclusion, and the contributions of all employees. To that end, we recruit candidates from different backgrounds and foster a work environment that encourages employees to collaborate and learn from each other, completely free of barriers.

Your role:

As a Senior DevOps/MLOps on our Artificial Intelligence team you will be responsible for the reliability and smooth operation of various environments and build automation to improve reliability and efficiency of code and machine learning model delivery from build to production. Challenge yourself by learning new technologies, and apply your skills across our different projects and application domains. You'll get to work in the exciting field of MLOps and will have the opportunity to work with tools unique to machine learning and artificial intelligence.

At Global Relay we use leading edge technologies to deploy and manage the infrastructure that delivers highly scalable and available services. The role involves cross-team collaboration and communication; you will be working closely with key stakeholders to ensure that product requirements are met. This is an opportunity to influence the design and implementation of systems at scales that many do not get a chance to work at.

Your responsibilities:

- Automation: Developing tools & frameworks to enhance our CI (Continuous Integration) & CD (Continuous Delivery) automation using industry standard CI/CD practices.

- Deployments: Leveraging the above mentioned CI/CD automation to deploy our services to Kubernetes.

- Operations: Monitor and ensure smooth operation of our services in various environments.

- Service Reliability: Occasionally provide support and initial troubleshooting when required by reviewing dashboards and logs to ensure system issues are timely addressed.

About you:

- 5+ years experience in a DevOps/MLOps or in a similar role.

- Bachelor's degree in computer science or related field, or equivalent work experience.

- Understanding of computer science fundamentals like threading, OOP and more.

- Understanding of software systems concepts such as networking, firewalls, protocols, databases and more.