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.
- 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