Project Details
Own reliability targets across our backend/API, worker services, applications and CV pipeline; MTD, MTM, MTR, and follow-through on root causes.
Level up our monitoring and alerting, and build out auto-remediation, so on-call load scales with automation, not headcount.
Partner with our agentic engineering work to build agents that triage alerts and handle routine remediation.
Harden and optimize our GCP infrastructure (Cloud Run, Cloud SQL, GCS) for cost and performance as load scales.
Own database scale and performance; connection pooling, query optimization and indexing, read replicas, and capacity planning, so Postgres doesn't become the bottleneck as data volume grows.
Improve the reliability of our ML training and monitoring infrastructure, in partnership with the CV/ML team.
Run blameless postmortems and drive fixes for root causes, not just symptoms.
Participate in on-call rotation.
Qualifications
4+ years in an SRE, infrastructure, or backend engineering role with production on-call ownership.
Deep experience with a major cloud provider (GCP preferred); compute, managed databases, object storage, networking.
Experience building monitoring/alerting/observability stacks (Grafana, Prometheus, Zabbix, Datadog, or similar).
Strong scripting/automation skills (Python, Bash, or similar).
Comfortable with containerized workloads (Docker) and CI/CD pipelines.
Track record of reducing incident volume or improving reliability metrics — not just responding to incidents.
Strong communication skills, comfortable working with both technical and non-technical stakeholders, know when and how to escalate urgency, and build strong working relationships across teams.
Strong communication skills in English — you write clearly and engage well async.
Preferred Qualifications
Experience with ML/data infrastructure — training pipelines, model monitoring, feature stores.
Experience building or integrating AI agents for operational automation (alert triage, auto-remediation).
Infrastructure-as-code experience (Terraform or similar).
PostgreSQL performance tuning at scale.
Background supporting physical/IoT systems (edge devices, cameras, on-site hardware).
Experience with bare-metal infrastructure in colocation environments, hardware monitoring, redundancy, and failover/high-availability configuration.
Our Stack
TypeScript / Node.js · Next.js · React · Apollo Server · Express · PostgreSQL · GCP · Docker · Python (ML/data workloads). We’re pragmatic — the right tool matters more than the familiar one.
Location
Remote — Latin America preferred
Working Arrangements
This role is a full-time contract position. You’ll work closely with our core engineering team — embedded in our sprints, standups, and Slack channels — but employment is managed through the agency. We’ve built this model successfully with engineers in Latin America, and it’s been a great fit for both sides.
Outpost is an Equal Opportunity Employer and Prohibits Discrimination of Any Kind.
