About the Role

You will be a core contributor to our cloud infrastructure and delivery engineering practice. As a DevOps Engineer, you will own the design and operation of our multi-cloud environments across Azure, AWS, and GCP — building the pipelines, platforms, and automation that empower development teams to ship with speed and confidence. This is a hands-on, high-ownership role within a small-to-medium software team. You will be expected to bring strong opinions, take initiative, and continuously improve how we build and operate our systems.

What You'll Do:

• Design, build, and maintain CI/CD pipelines that support continuous delivery across multiple cloud platforms (Azure DevOps, GitHub Actions, GitLab CI)

• Architect and manage cloud infrastructure across Azure, AWS, and GCP using Infrastructure as Code (Terraform, Bicep, CloudFormation)

• Manage containerized application workloads using Kubernetes (AKS, EKS, or GKE) and Docker

• Implement and maintain cloud security best practices: IAM policies, network segmentation, secrets management, vulnerability scanning

• Design and maintain observability stacks — logging, metrics, alerting — using tools such as Azure Monitor, CloudWatch, Datadog, or Grafana/Prometheus

• Collaborate with software and ML engineering teams to define deployment strategies, optimize release pipelines, and reduce deployment risk

• Evaluate and introduce tooling improvements that enhance reliability, scalability, and developer productivity

• Contribute to incident response and post-mortem processes, driving root cause analysis and corrective actions

• Build and maintain internal documentation on infrastructure architecture, operational runbooks, and DR procedures

• Mentor junior team members and provide technical guidance on cloud and DevOps best practices

What You Bring:

Desirable:

• Express our core values
• Are hungry for knowledge
• Want to learn new skills
• Are respectful
• Collaborate with others across the whole company
• Share knowledge with coworkers
• Educate and promote AI and ML concepts both internally and externally
• Have a high work ethic and are self-motivated

• Big Slack Energy - IYKYK.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.