DevOps Engineer

About the role

We are looking for a DevOps Engineer to help build, maintain, and improve our cloud infrastructure and deployment systems on AWS. Reporting to the DevOps Manager, this role requires solid hands-on experience with infrastructure, CI/CD, and observability, along with growing ownership of services and systems. You will work closely with engineering teams to ensure reliable deployments, scalable systems, and strong operational practices across ECS, EKS, and EC2-based workloads. This role is expected to leverage AI and emerging technologies to improve productivity, enhance decision-making, and continuously optimize how work is performed.

What You'll Be Doing

• Build, maintain, and optimize CI/CD pipelines for reliable application deployments
• Manage and improve AWS infrastructure across ECS, EKS, and EC2 environments
• Develop and maintain Infrastructure as Code using Terraform
• Monitor system health and performance using Grafana and supporting observability tools
• Troubleshoot infrastructure and application issues in staging and production environments
• Collaborate with developers to improve deployment workflows and system reliability
• Support containerized workloads using Docker and Kubernetes (EKS)
• Implement and maintain logging, alerting, and incident response processes
• Contribute to cost optimization and performance tuning within AWS
• Maintain clear documentation for infrastructure, processes, and runbooks
• Leverage AI and emerging technologies to improve productivity, streamline workflows, and identify opportunities for continuous improvement while ensuring the responsible, secure, and compliant use of AI tools
• Use AI-assisted tooling to draft, refactor, and review Terraform modules and Kubernetes/ECS manifests, improving delivery speed while maintaining quality and security standards

What You'll Bring

• 2–4 years of experience in DevOps, SRE, or related roles
• Hands-on experience with AWS services, particularly ECS, EKS, and EC2
• Experience writing and maintaining Infrastructure as Code using Terraform
• Experience with monitoring/observability tools, especially Grafana
• Familiarity with CI/CD tools (e.g., GitHub Actions, GitLab CI, Jenkins)
• Experience with containerization (Docker)
• Working knowledge of Linux systems and networking fundamentals
• Scripting experience (Bash, Python, or similar)
• Can independently handle day-to-day infrastructure and deployment tasks
• Comfortable debugging issues across application and infrastructure layers
• Takes ownership of services (e.g., a cluster, pipeline, or environment)
• Knows when to escalate complex architectural decisions
• Proactively identifies reliability, performance, and cost improvements
• Experience applying AI to DevOps practices, including infrastructure automation, CI/CD optimization, incident investigation, observability, and operational efficiency

Qualifications

• Experience operating Kubernetes clusters in production (EKS)
• Familiarity with Prometheus or other metrics backends used with Grafana
• Experience with AWS IAM, networking (VPCs, security groups), and load balancing
• Exposure to autoscaling, high availability, and fault-tolerant system design
• Experience with blue/green or canary deployments
• Understanding of cost monitoring and optimization in AWS

Benefits

• Comprehensive health, dental, and vision coverage
• Retirement plans with company match
• Paid time off and parental leave
• Annual education & training stipend (equivalent to $1,000 in local currency)
• Flexible hybrid working environment with offices designed for collaboration and flexibility
• Weekly lunches, quality coffee, and regular social events
• Parent rooms, on-site gyms, comfortable lounges, and adaptable workstations at many locations
• Wellness workshops and events
• Complimentary Headspace subscription
• Employee Resource Groups providing inclusive space, support, and community

Pay & Schedule

• Full-time, permanent position
• Hybrid model: 3 days per week in the San Diego office

Interview Process

• Recruiter Interview: 30 minutes
• Hiring Manager Interview: 45 minutes
• Panel/Assignment: 60 minutes
• Final Leadership Interview: 30 minutes