Senior DevOps Engineer

This role will revolve around managing our infrastructure in an AWS environment. This role will involve implementing and maintaining monitoring to ensure reliable service of all Petvisor products, and providing support to other engineering teams as required. The goal of this role is to expand DevOps capacity to handle the increasing complexity of the Petvisor environments while maintaining best practices and compliance.

Apply if you’re excited to:

• Architect, implement, and maintain scalable cloud infrastructure in AWS environments following best practices for security, performance, costs, and reliability.
• Implement and manage Kubernetes clusters using Amazon EKS, including node groups, networking, autoscaling, and observability.
• Implement Infrastructure-as-Code with Terraform to build reusable, modular, and version-controlled infrastructure.
• Build, maintain, and optimize CI/CD pipelines using Jenkins and ArgoCD.
• Implement and maintain observability tooling (Datadog, CloudWatch, etc.)
• Automate deployment processes, environment provisioning, and configuration management.
• Champion automation across the stack to reduce manual toil and increase operational maturity.
• Ensure high availability, resilience, and disaster recovery for critical systems.
• Participate in on-call rotations and troubleshoot production issues, ensuring quick restoration and root cause analysis.
• Work closely with software engineering and support teams to streamline deployments and improve development workflows.
• 4+ years of DevOps, SRE, or Platform Engineering experience.
• Experience with AWS services (EC2, EKS, RDS, S3, IAM, ECS, VPC, Lambda, etc.).
• Strong hands-on experience with Kubernetes, specifically EKS. Including containerization technologies.
• Proficiency with Terraform for IaC (modules, workspaces, state management, CI integrations).
• Experience in Python and Bash scripting.
• Advanced experience building and maintaining Jenkins pipelines.
• Solid knowledge of Linux systems, networking fundamentals, and distributed architectures.
• Familiarity with Git, version control workflows, and code review practices.
• Excellent troubleshooting and incident response skills.

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.