About the role

Container Engineer operating Supabase’s multi-tenant Kubernetes platform. Building reliable automation, observability, security, and rollout systems for globally distributed services.

Responsibilities

Own the internal container platform running Supabase’s multi-tenant, multi-region services
Share the team’s on-call rota and respond to platform incidents through resolution and follow-up
Define SLIs, SLOs, error budgets, and error-budget policies for the container platform
Own the Operational Readiness Review process for new capabilities and major changes
Design and track platform uptime metrics and improve observability through metrics, logs, and traces
Facilitate blameless postmortems and drive systemic improvements from incident findings
Build and maintain automation, controllers, operators, and internal tooling as production code
Design and implement platform CI/CD and rollout primitives
Implement and maintain security automation, intrusion detection, remediation, and patch management
Quantify operational toil and automate its removal
Maintain continual testing automation and release-validation pipelines
Contribute to failure-mode analysis, dependency mapping, and resilience design
Evaluate and evolve orchestration, runtime, networking, isolation, and observability tooling
Improve architecture to reduce infrastructure cost while balancing security, reliability, and performance
Guide platform teams on sustainable on-call practices, alert quality, escalation, runbooks, and noise reduction

5+ years in platform engineering, container/Kubernetes platform operations, SRE, or production infrastructure
Experience operating production systems at scale and carrying on-call responsibility
Deep expertise in at least one, ideally two, of tooling/ecosystem, software engineering, and operational/SRE practice
Knowledge of Kubernetes, containerd, OCI/CRI standards, and the CNCF ecosystem
Production programming experience in Go and/or a comparable systems language
Ability to build controllers, operators, platform APIs, and internal tooling
Fluency in SLOs, error budgets, operational KPIs, incident response, and blameless postmortems
Experience with large-scale multi-tenant systems and workload isolation
Confidence operating AWS, including multiple accounts, IAM, and VPC
Infrastructure-as-code experience; Pulumi preferred, Terraform/CDK also acceptable
Kubernetes experience
Scripting and automation skills
Ability to communicate with infrastructure specialists and product engineers
Ability to work effectively in asynchronous, globally distributed teams
Comfort navigating ambiguity and iterating toward improved systems
Nice to have: multi-tenant Kubernetes platform experience
Nice to have: Kyverno or OPA/Gatekeeper policy engines and OpenCost/Kubecost
Nice to have: managed database platforms or Postgres experience
Nice to have: OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, or similar observability tooling

Fully remote work arrangement
WeWork membership or co-working allowance usable anywhere in the world
ESOP (equity ownership) for every team member
Tech allowance for laptop, monitor, headphones, or other work equipment
100% health insurance coverage for employees
80% health insurance coverage for dependents
Annual company off-site
Flexible, asynchronous work schedule
Annual education allowance for courses, books, conferences, or other professional development