Who We Are:
The 4M story is likely one you haven’t heard before: We are on a mission to unlock access to the world below us, to do for the world below ground what Google Maps did for the world above. By leveraging cutting-edge technology, we are mapping the subsurface infrastructure to make reliable, real-time utility data accessible to the construction industry - completely transforming a traditional industry. We’re a growing startup with 100 employees currently based in Tel Aviv, Israel, and Austin, Texas.
The Opportunity
As a Senior DevOps Engineer, you will be a key member of a high-performing team focused on building resilient, highly available, and production infrastructures. Your role is to bridge the gap between development and operations by applying software engineering principles to automate, scale, and optimize our cloud ecosystem.
Utilizing Terraform for lifecycle management and Amazon EKS for orchestration, you will build and scale robust, self-healing environments.
We are looking for an engineer who doesn't just use tools, but understands the Linux foundation they run on. You will work to ensure our systems are transparent, measurable, and elastic through reliable GitOps practices and full-stack observability. You will also implement and maintain essential DevSecOps tools to keep our environments secure.
Key Responsibilities
- Linux Systems Engineering: Maintain a deep-dive understanding of Linux internals to identify bottlenecks and optimize configurations.
- Container Orchestration: Manage production-grade Amazon EKS clusters and implement modern autoscaling solutions like Karpenter.
- Full-Stack Observability: Own the migration and maintenance of the Grafana-based observability suite (Grafana, Tempo, Mimir, Loki).
- GitOps & IaC: Lead GitOps initiatives with ArgoCD and architect modular Terraform or Crossplane codebases.
- Python Tooling: Develop custom tools and AI agents using Python to automate research and development cycles.
- Vulnerability Management: Integrate automated image scanning and Software Composition Analysis (SCA) tools into the SDLC.
Required Qualifications
- 7+ years of hands-on experience with a cloud provider, preferably AWS.
- Strong experience with Infrastructure as Code (IaC) using Terraform.
- Deep understanding of Kubernetes (EKS), including architecture, networking, and troubleshooting.
- Solid Linux system administration skills.
- Proficiency in Python or similar for writing production-grade code and tools.
AI-First Mindset
We are building an AI-first engineering culture, and we're looking for engineers who are genuinely excited about working this way. You don't need to arrive with a fully formed AI workflow — but you should have the curiosity and the drive to develop one. This means you are experimenting with AI tools (code assistants, LLMs) and see AI as a multiplier of engineering craft.
Preferred Qualifications (not required!)
- Experience with Crossplane for cloud-native infrastructure management
- Familiarity with DevSecOps practices and security orchestration (policy enforcement, scanning, shift-left security)
- Understanding of observability concepts, including hands-on experience with Prometheus, Grafana, and Loki
- Experience with Argo CD and GitOps-based deployment workflows
Skills Required
- 7+ years hands-on experience with a cloud provider (preferably AWS)
- Infrastructure as Code using Terraform
- Deep understanding of Kubernetes (EKS), including architecture, networking, and troubleshooting
- Solid Linux system administration skills
- Proficiency in Python for writing production-grade code and tooling
- Manage production-grade Amazon EKS clusters and implement autoscaling solutions like Karpenter
- Own migration and maintenance of Grafana-based observability suite (Grafana, Tempo, Mimir, Loki)
- Lead GitOps initiatives with ArgoCD and architect modular IaC codebases
- Integrate automated image scanning and Software Composition Analysis (SCA) tools into the SDLC
- Experience with Crossplane for cloud-native infrastructure management
- Familiarity with DevSecOps practices and security orchestration (policy enforcement, shift-left security)
- Hands-on experience with Prometheus and observability concepts
- AI-first mindset; experimentation with AI tools, code assistants, or LLMs
What We Do
Eliminate time-consuming manual utility research. Get instant access to reliable utility data and insight to accelerate infrastructure planning, reduce risks, and build confidently. 4M is the first Utility AI Mapping and Analytics Solution, built for project owners, civil engineers, general contractors, and government during the early stages of infrastructure development. Our utility AI mapping solution delivers real-time, reliable utility data, liberating engineers from conventional record research, enabling strategic planning and design, and mitigating risk - right from your office. Choose 4M Analytics for a more reliable, efficient, cost-effective utility mapping solution, and start winning more projects today. Learn more here: https://www.4manalytics.com/
