Software Engineer, Infrastructure, Reliability

🔥 15 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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crewAI

WebsiteLinkedInAll Job Openings

1 - 10 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

crewAI is a leading multi-agent platform that partners with IBM to provide AI-driven solutions for smart business growth. The company offers tools and frameworks for building, deploying, and managing automated workflows using large language models and cloud platforms. CrewAI aims to streamline business processes across various industries through its no-code tools and seamless integration with existing apps. It is widely adopted by industry leaders, including Fortune 500 companies, and supports both cloud-based and self-hosted deployment options. CrewAI also provides insights and optimization tools to continuously improve AI agent performance and enhance business intelligence.

📋 Description

• Own and improve the infrastructure that runs CrewAI's platform, including 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 through 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 product engineers on Rails/Solid Queue/Postgres production behavior • Manage production observability and telemetry infrastructure, including logs, metrics, traces, dashboards, Sentry/OpenTelemetry plumbing, actionable alerts, and telemetry export to customers' monitoring systems • Harden security and compliance across IAM, workload identity, secrets management, vulnerability scanning, dependency/image hygiene, and least-privilege access • Build tooling and automation for field engineers and customers to run self-hosted installs, including Helm charts, environment configuration, release artifacts, pre-flight checks, and install runbooks • Reduce operational toil by automating recurring workflows and simplifying deployments

🎯 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 application, infrastructure, network, deployment, 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 • Bonus: Experience with AI/agent platforms, workflow runtimes, or high-volume async execution systems • Bonus: Experience supporting enterprise/self-hosted deployments • Bonus: Terraform or other IaC experience • Bonus: SRE background including SLOs, incident review, capacity planning, and load testing • Bonus: Familiarity with Rails, FastAPI, Celery, OpenTelemetry, or multi-service observability