DevOps Engineer

At echo, we’re fixing a broken system. Vulnerability management isn't working – it’s reactive, noisy, and unsustainable. Instead of chasing CVEs, we’re eliminating them at the source.

Our AI-powered platform produces vulnerability-free base images that integrate cleanly into existing workflows, helping security and platform teams eliminate patching overhead without slowing down developers. Backed by top-tier investors and led by second-time founders who previously built the first software supply chain security company, which was later acquired by Aqua Security, we’ve gone from stealth to serving global enterprise customers in under six months.

We're looking for our first DevOps Engineer to join our core team and establish the foundational infrastructure and practices that will scale Echo's revolutionary container security platform.

What You’ll Do

• Design, implement, and manage scalable cloud infrastructure on AWS to support our security platform, using Terraform and other infrastructure automation tools
• Lead the deployment and management of containerized environments and microservices using Docker and Kubernetes
• Design and build robust CI/CD pipelines using modern tools and methodologies to support rapid, secure deployments
• Establish comprehensive monitoring, logging, and alerting systems to ensure platform reliability and performance
• Work closely with engineering, product, and security teams to ensure seamless integration between development and operations
  
  

• 5+ years of experience as a DevOps engineer with proven track record in production environments
• Must have extensive cloud experience (AWS preferred)
• Proven hands-on experience with containerized environments and microservices using Docker and Kubernetes
• Experience with cloud provisioning tools, particularly Terraform
• Experience with CI/CD tools and methodologies (GitHub Actions, Argo, Jenkins or similar)
• Strong sense of ownership and accountability for infrastructure and processes
• Innovative approach with demonstrated ability to quickly learn and implement new technologies
• Excellent communication skills and proven ability to work effectively in cross-functional teams
  
  

• Knowledge of scripting languages like Python, Go or Bash
• Understanding of security best practices in cloud and container environments
• Experience supporting AI/ML workloads and infrastructure requirements
• Experience with monitoring and observability platforms such as DataDog, Grafana, or similar