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Software Engineer, Infrastructure & Reliability

CrewAI· Engineering
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Hybrid (Remote / Enterprise (global))Full-timePosted 1mo ago

About the role

Role focused on building and operating the infrastructure behind CrewAI's cloud and enterprise deployments, across AWS, Azure, and GCP. Involves containerization, CI/CD, deployment automation, observability, security, and runtime reliability to support scalable, secure production environments.

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 - and 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 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.

Qualifications

  • 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.

Skills

Required:Infrastructure engineeringAWSDockerKubernetesCI/CDPostgreSQLRedisSecurity and IAM
Last updated Sep 13, 2026. Interested? Apply on the company site.
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