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EMA

Software Engineer, DevOps

San Francisco Bay Area$135k–$225kfulltimemidAdded 1 month ago

About this role

Ema, an AI-powered enterprise automation platform, seeks an experienced DevOps Engineer to design and maintain scalable, highly-available infrastructure supporting their growing SaaS product. You'll work across cloud platforms to build resilient systems, automate deployments, and ensure optimal performance in a fast-paced startup environment.

What you'll do

  • Architect and build foundational infrastructure for multi-tenant SaaS solutions on AWS, Azure, or GCP
  • Automate infrastructure provisioning, configuration management, and deployment using Terraform, Ansible, and Kubernetes
  • Design and optimize CI/CD pipelines with tools like GitHub Actions and Cloud Build
  • Implement observability solutions using Prometheus, Grafana, Sentry, and PagerDuty for system monitoring and alerting
  • Monitor system performance, analyze metrics, and optimize database queries for peak efficiency
  • Deploy and maintain comprehensive testing frameworks including end-to-end testing infrastructure

What they're looking for

  • Kubernetes and container orchestration
  • Infrastructure-as-code (Terraform, Helm)
  • Cloud platforms (AWS, Azure, GCP)
  • CI/CD pipelines and automation
  • Monitoring and observability tools
  • Database optimization and query tuning
  • Distributed systems design
  • Problem-solving and cross-team collaboration

Benefits

  • Competitive salary: $135,000–$225,000 (California-based)
  • Equity compensation
  • Variable compensation eligibility
  • Health and benefits package
  • Work with AI-focused mission-driven team
  • Global company with offices across multiple continents
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EMA

EMA is an agentic AI platform that enables enterprise automation and AI-driven business processes through scalable APIs and user-facing applications. The company is hiring Full-Stack, Frontend, and Backend Software Engineers, Machine Learning Engineers, and DevOps Engineers to build and deploy production-scale AI systems.

View all jobs at EMA

Likely interview questions

  • Walk us through your experience designing and deploying multi-tenant SaaS solutions on AWS, Azure, or GCP. What challenges did you face with scalability and high availability?
  • Describe your hands-on experience with Kubernetes, Helm, and Terraform. How have you used these tools to automate infrastructure provisioning and ensure resilience?
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