Software Engineer, Infrastructure & Reliability
Build and operate the infrastructure foundation for CrewAI's multi-agent AI platform across AWS, Azure, and GCP. Own CI/CD, observability, reliability, security, and self-hosted deployment tooling for cloud and enterprise environments.
About the job
Responsibilities
- Own and improve the infrastructure that runs CrewAI's platform: AWS, ECS/ECR, Docker, Kubernetes/Helm, networking, secrets, databases, Redis, and related services.
- Build and maintain CI/CD pipelines for build, test, image publishing, migrations, environment promotion, rollbacks, and deploy safety.
- Improve reliability across cloud and enterprise deployments: health checks, alerting, incident response, capacity planning, recovery paths, and operational runbooks. Own the front-line on-call rotation and its SLAs.
- Partner with runtime engineers on Celery/FastAPI/Redis workloads and with product engineers on Rails/Solid Queue/Postgres production behavior.
- Manage production observability and telemetry infrastructure: logs, metrics, traces, dashboards, Sentry/OpenTelemetry plumbing, actionable alerts, and telemetry export to customers' own monitoring systems.
- Harden security and compliance posture across IAM, workload identity, secrets management, vulnerability scanning, dependency/image hygiene, and least-privilege access.
- Build the tooling and automation that lets field engineers and customers run self-hosted installs themselves - Helm charts, environment config, release artifacts, pre-flight checks, and install runbooks - so engineering does fewer hands-on installs over time.
- Reduce operational toil by automating recurring workflows and making deployments boring.
Requirements
- Strong infrastructure/platform engineering experience in production SaaS environments.
- Deep practical experience with AWS, Docker, CI/CD, GitHub Actions, and containerized services.
- Experience with ECS and/or Kubernetes; Helm experience is a strong plus.
- Comfort operating PostgreSQL, Redis, background job systems, queues, and web services in production.
- Strong debugging instincts across app, infra, network, deploy, and dependency layers.
- Security-minded approach to IAM, secrets, workload identity, vulnerability management, and production access.
- Ability to write reliable automation in Python, Ruby, Go, Bash, or similar.
- Calm, rigorous approach to incidents, rollbacks, migrations, and production change management.
Nice-to-Haves
- Experience with AI/agent platforms, workflow runtimes, or high-volume async execution systems.
- Experience supporting enterprise/self-hosted deployments.
- Terraform or other IaC experience.
- SRE background: SLOs, incident review, capacity planning, load testing.
- Familiarity with Rails, FastAPI, Celery, OpenTelemetry, or multi-service observability.
Skills
AWS, Docker, Kubernetes, Helm, CI/CD, GitHub Actions, Postgres, Redis, Python, Ruby, Go, Terraform, OpenTelemetry, Sentry, FastAPI
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