About the Role
We’re looking for a Senior DevOps Engineer to own our cloud infrastructure end-to-end — from operating a large multi-tenant Kubernetes environment to building CI/CD pipelines that teams actually trust. You’ll work across AWS, drive infrastructure-as-code standards, and lead our migration toward GitLab CI and a Grafana-based observability stack while keeping production environments stable.
What You’ll Do
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Operate and scale a multi-tenant AWS EKS cluster where each client runs an isolated set of application services — owning tooling to onboard, scale, and observe hundreds of service instances reliably
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Build and improve CI/CD pipelines in GitLab CI and GitHub Actions with automated testing, static analysis, and build-gated releases; maintain ArgoCD GitOps workflows for production deployments
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Lead the migration from Datadog to a self-managed Grafana observability stack (Grafana, Loki, Mimir/Prometheus, Tempo) — dashboards, SLOs, alert routing, and on-call integration
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Manage secrets, IAM, and security scanning pipelines using AWS KMS, Secrets Manager, external-secrets operator, and Auth0/Dex OIDC — enforcing least-privilege across all environments
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Own and evolve the Redpanda (Kafka-compatible) streaming layer and its integrations with application workers
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Drive cloud cost optimization through right-sizing, autoscaling, and shared infrastructure patterns on EKS
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Document infrastructure with automated tooling (terraform-docs) and maintain standards that scale across teams
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Automate operational toil — certificate renewal, clinic environment provisioning, deployment validation, runbook automation
What We’re Looking For
Required
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5+ years in DevOps or infrastructure engineering
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3+ years operating Kubernetes in production — AWS EKS preferred — including CSI drivers, cluster autoscaling, network policy (Calico), and pod identity
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3+ years hands-on with AWS core services (IAM, S3, KMS, Secrets Manager, STS, EKS, Load Balancer Controller, ECR)
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Strong Terraform experience; GitOps experience with ArgoCD or Flux
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Hands-on experience with GitLab CI and/or GitHub Actions
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Scripting proficiency in Python and Bash
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Experience with IAM design and security best practices (SAST/DAST, secret scanning, OIDC federation)
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Familiarity with streaming or message-queue infrastructure (Redpanda, Kafka, or equivalent)
Nice to Have
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Experience migrating from a SaaS observability tool (Datadog, New Relic) to a self-hosted Grafana stack
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Grafana stack depth — Loki for logs, Mimir or Thanos for metrics, Tempo for traces, Alertmanager for routing
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Experience with Redpanda specifically, or deep Kafka operations knowledge
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Background in multi-tenant SaaS platforms or per-customer service isolation patterns
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AWS certification
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Familiarity with chaos engineering tooling (chaos-mesh or LitmusChaos)
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Background in software engineering or scripting-heavy roles
Tech Stack
Current production: AWS (EKS, S3, KMS, Secrets Manager, STS, Load Balancer) · Terraform · GitHub Actions · ArgoCD · Kubernetes · Traefik · Coraza WAF · Redis HA · MongoDB · Auth0 · Dex · external-secrets · Datadog · Docker · Python · Bash · Linux
Where we’re going: GitLab CI · Redpanda · Grafana · Loki · Prometheus/Mimir · Tempo · Alertmanager
Platform components you’ll operate: ArgoCD · Traefik · Coraza WAF · Auth0 · Dex · Redis HA · MongoDB · API servers · client-facing portals · internal tooling
Why Join Us
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Own infrastructure across a real multi-tenant platform serving production clinic environments
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Lead the observability and streaming migrations — greenfield decisions with lasting impact
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Collaborative engineering culture with high trust and low bureaucracy
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Competitive salary, benefits, and flexible work arrangements
