DevOps Engineer

• 4+ years of hands-on experience running production infrastructure on AWS


• Strong database administration experience across relational and document engines: PostgreSQL, MSSQL, and MongoDB in production, not just local development


• Experience with Snowflake or comparable cloud data warehouse platforms


• Practical experience applying AI tools to DevOps work: LLM-assisted troubleshooting, AI code review, workflow automation with agents, or similar. We want someone who already works this way, not someone waiting for permission to start


• Solid scripting and infrastructure-as-code skills; your changes should be reviewable and repeatable


• Experience building monitoring and alerting from the ground up


• Working knowledge of compliance-driven operations (SOC 2, ISO 27001, or similar)


• Fluent English, spoken and written. You will communicate daily with US-based colleagues and your documentation is part of your work product


• Comfort working in a distributed team with regular overlap with US business hours

The Role

You will join a lean engineering organization and take ownership of cloud infrastructure, delivery pipelines, database operations, and observability for a revenue-generating production platform. This is a hands-on role with direct exposure to engineering leadership. You will make infrastructure decisions, document them, and carry them through to production. The scope is broad by design: infrastructure, databases, security operations, and the automation that ties it all together.


What You Will Work On

• Operating and evolving a production AWS environment: EC2, load balancing, S3, RDS, IAM, VPC networking, and infrastructure automation
  
• Administering and tuning databases across multiple engines in production: MongoDB, PostgreSQL, and MSSQL, including performance work, replication health, backup and recovery, and cost control
  
• Supporting analytical data workloads, including Snowflake-based pipelines and reporting infrastructure
  
• Building and maintaining the observability layer: monitoring, alerting, SLOs, synthetic checks, and availability reporting that supports customer-facing commitments
  
• Owning CI/CD pipelines end to end, from build tooling and static checks to deployment automation and rollback procedures
  
• Applying AI tooling to DevOps work in practice: AI-assisted incident analysis, infrastructure code generation and review, automated runbook execution, and agent-based workflows for routine operations
  
• Supporting a SOC 2 compliance program on the infrastructure side: log retention, access control, asset inventory, and audit evidence collection
  
• Planning and executing maintenance windows, OS image lifecycle management, and database upgrades with minimal customer impact
  

Our Stack

AWS, MongoDB, PostgreSQL, MSSQL, Snowflake, GitHub, containerized CI/CD, compliance automation tooling, and a modern AI-assisted engineering workflow used across the team.



Requirements: AWS Additionally: Sport subscription, Private healthcare.