DevOps Engineer

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

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

Must have: AWS