we are looking for a DevOps Engineer.
our DevOps team operates the infrastructure that powers our AI and Computer Vision platform across construction sites in 15+ countries. From data pipelines and ML workloads to backend services – you'll work with a diverse, modern, Kubernetes-based stack and have real influence on how we build, deploy, and operate.
What you'll do:
Own Multi-Cloud Infrastructure: Work alongside the team to design, scale, and operate our high-scale, multi-region production infrastructure across AWS and GCP, powering construction sites globally.
Drive Kubernetes at Scale: Manage and evolve our Kubernetes platform on EKS and leveraging GitOps practices with ArgoCD and Helm to enable safe, fast, and reliable deployments.
Build Robust CI/CD: Design and maintain CI/CD pipelines that empower dozens of engineers to ship confidently – with automation, testing, and progressive delivery built in.
Tackle Diverse Infrastructure Challenges: Work hands-on with a wide variety of workloads – from heavy data processing and Computer Vision pipelines to backend services and ML inference – each with unique scaling, performance, and reliability requirements.
Ensure Reliability & Observability: Build and maintain world-class observability (metrics, logs, tracing, alerting) so that issues are caught early and resolved fast. Performance, reliability, and scalability are at the core of what you do.
Security & Cost: Partner with the team to strengthen our security posture, identity and access management, compliance, and cloud cost optimization across both clouds.
Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance, security, and observability are baked in from day one.
our DevOps team operates the infrastructure that powers our AI and Computer Vision platform across construction sites in 15+ countries. From data pipelines and ML workloads to backend services – you'll work with a diverse, modern, Kubernetes-based stack and have real influence on how we build, deploy, and operate.
What you'll do:
Own Multi-Cloud Infrastructure: Work alongside the team to design, scale, and operate our high-scale, multi-region production infrastructure across AWS and GCP, powering construction sites globally.
Drive Kubernetes at Scale: Manage and evolve our Kubernetes platform on EKS and leveraging GitOps practices with ArgoCD and Helm to enable safe, fast, and reliable deployments.
Build Robust CI/CD: Design and maintain CI/CD pipelines that empower dozens of engineers to ship confidently – with automation, testing, and progressive delivery built in.
Tackle Diverse Infrastructure Challenges: Work hands-on with a wide variety of workloads – from heavy data processing and Computer Vision pipelines to backend services and ML inference – each with unique scaling, performance, and reliability requirements.
Ensure Reliability & Observability: Build and maintain world-class observability (metrics, logs, tracing, alerting) so that issues are caught early and resolved fast. Performance, reliability, and scalability are at the core of what you do.
Security & Cost: Partner with the team to strengthen our security posture, identity and access management, compliance, and cloud cost optimization across both clouds.
Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance, security, and observability are baked in from day one.
Requirements:
A seasoned DevOps / Infrastructure engineer (5+ years) with strong hands-on experience in production cloud environments.
Proven expertise operating large-scale, distributed systems – with deep understanding of Kubernetes, networking, and cloud-native architecture.
Strong experience with multi-cloud environments (AWS and/or GCP), Infrastructure-as-Code (Terraform), and GitOps workflows (ArgoCD, Flux, or similar).
Hands-on experience with CI/CD systems (Jenkins, GitHub Actions, etc.).
Solid scripting and automation skills (Python, Bash, or Go).
Proven track record of being a collaborative team player who partners closely with developers, ML engineers, and cross-functional stakeholders across the organization.
Experience with observability stacks (Prometheus, Grafana, OpenTelemetry, Logz.io, or similar).
Experience with databases (relational and/or NoSQL) – including operational aspects like backups, migrations, and performance tuning.
AI-Native Engineering: You are an AI-native engineer who leverages LLMs and agentic tools (like Cursor, Copilot, or Claude) not just for command completion, but as a core operational partner – automating diagnostics, runbooks, and infrastructure workflows so you can focus on the critical things
A seasoned DevOps / Infrastructure engineer (5+ years) with strong hands-on experience in production cloud environments.
Proven expertise operating large-scale, distributed systems – with deep understanding of Kubernetes, networking, and cloud-native architecture.
Strong experience with multi-cloud environments (AWS and/or GCP), Infrastructure-as-Code (Terraform), and GitOps workflows (ArgoCD, Flux, or similar).
Hands-on experience with CI/CD systems (Jenkins, GitHub Actions, etc.).
Solid scripting and automation skills (Python, Bash, or Go).
Proven track record of being a collaborative team player who partners closely with developers, ML engineers, and cross-functional stakeholders across the organization.
Experience with observability stacks (Prometheus, Grafana, OpenTelemetry, Logz.io, or similar).
Experience with databases (relational and/or NoSQL) – including operational aspects like backups, migrations, and performance tuning.
AI-Native Engineering: You are an AI-native engineer who leverages LLMs and agentic tools (like Cursor, Copilot, or Claude) not just for command completion, but as a core operational partner – automating diagnostics, runbooks, and infrastructure workflows so you can focus on the critical things
This position is open to all candidates.
