DevOps Engineer

About the company

We believe in working smarter through automation and AI-assisted engineering. You'll have opportunities to use tools such as Claude and other AI agents to streamline workflows, troubleshoot issues, and improve efficiency.

Your tasks

We're looking for a DevOps Engineer to join our engineering team and help build, manage, and improve our AWS cloud infrastructure.

In this role, you'll have the opportunity to work with a modern technology stack, take ownership of infrastructure improvements, automate processes, and collaborate with developers to keep our systems reliable, secure, and scalable.

• AWS Infrastructure: Design, manage, and maintain our multi-account AWS environment, including cloud resources, networking, security, and access management.
• Infrastructure Automation: Develop and maintain Terraform configurations and Ansible playbooks to automate infrastructure provisioning and management.
• Containers & Deployment: Manage Docker containers, ECS/EKS clusters, and Kubernetes deployments using Helm.
• CI/CD Pipelines: Build and maintain automated deployment pipelines using Jenkins, Serverless Framework, and related tools.
• Monitoring & Reliability: Monitor system health and performance using Grafana, Prometheus, CloudWatch, and OpenSearch. Troubleshoot incidents and implement long-term improvements.
• Networking & Security: Manage VPCs, routing, firewalls, DNS, IAM, and other security configurations to ensure secure and reliable operations.
• Cost Optimization: Identify opportunities to optimize AWS resources, reduce unnecessary spending, and improve infrastructure efficiency.
• Collaboration & AI Tools: Work closely with developers to troubleshoot issues across different environments and leverage AI-assisted tools for automation, debugging, and code review.
• Incident & Operational Support: Participate in an on-call rotation (1 in 3 weeks), provide backup support for database administration, and occasionally assist with office IT systems, servers, and workstation setup.
• Documentation: Maintain technical documentation, runbooks, and incident reports, and share knowledge with the team.

Requirements

• At least 4 years of experience in DevOps, Platform Engineering, SRE, or a similar role, preferably in production AWS environments.
• Strong hands-on experience with AWS cloud infrastructure and Terraform, including infrastructure provisioning, state management, and automation.
• Experience with Docker, container management, and troubleshooting.
• Experience using Ansible for configuration management and automation.
• Good knowledge of Linux administration, Bash scripting, and networking fundamentals such as TCP/IP, VPC, DNS, firewalls, and routing.
• Experience managing EC2 instances and virtual machines.
• Hands-on experience with at least 3 AWS services, such as RDS/Aurora, ElastiCache, OpenSearch, DynamoDB, S3/CloudFront, API Gateway, or Lambda.
• Experience with Grafana, Prometheus, and CloudWatch for monitoring, dashboards, and alerting.
• Proficiency in Bash and at least one additional scripting language, preferably Python.
• Strong problem-solving skills and the ability to troubleshoot complex technical issues.
• Good communication skills, a collaborative mindset, and a willingness to learn and share knowledge.
• Experience using AI-assisted engineering tools such as Claude Code, Cursor, or similar tools, with the ability to review and verify AI-generated outputs.

• Experience with Kubernetes/EKS, Helm, and cluster management.
• Knowledge of multi-account AWS environments, AWS Organizations, and Control Tower.
• Experience with AWS cost optimization, including Reserved Instances and Savings Plans.
• Familiarity with DevSecOps practices, security scanning, and IAM security.
• Experience with Serverless Framework, Bitbucket Pipelines, Kibana, or OpenSearch Dashboards.
• Basic database administration knowledge, including SQL queries, troubleshooting, and performance optimization.

What we offer

• Make an Impact: Take ownership of infrastructure improvements that directly influence system reliability, performance, and efficiency.
• Modern Technology Stack: Work with AWS, Terraform, Kubernetes, Docker, and modern monitoring tools.
• AI-Driven Engineering: Explore how AI-assisted tools can make engineering work more efficient and productive.
• Career Growth: Opportunities for mentoring, professional development, conference attendance, and progression to a Senior DevOps Engineer role.
• Collaborative Environment: Be part of an engineering team that values automation, knowledge sharing, and continuous improvement.
• Hybrid Work Arrangement: Enjoy 2 work-from-home days per week.
• Structured On-Call Rotation: Participate in a planned rotation of approximately 1 in 3 weeks, with runbooks and escalation procedures.