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Open nowFirst seen 3 days ago

*DevOps Engineer

Buildots33 open roles

Where
Tel-Aviv
Work mode
Hybrid
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Your applicationOpen now*DevOps EngineerBuildots · Tel-Aviv

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Buildots's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

The posting

About Buildots

Buildots is the world’s most advanced construction intelligence platform. By comparing schedules and BIM against site reality, its advanced AI transforms granular data into insights that unlock operational excellence.

Over 100 global giants trust Buildots, including HOCHTIEF, Bouygues, Intel, NCC and VINCI Construction. Its impact is proven at every scale, from multi-family projects to multi-gigawatt data centers.

With $297M raised, this is your opportunity to join a high-growth company that's already closing in on unicorn status.

About the role

At Buildots, 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.

Why join us?

Buildots is building the AI layer construction will run on, and we're moving at a pace that's redefining what growth looks like in this industry. We're partnering with some of the largest builders and investors on the planet to bring intelligence to a market worth trillions of dollars – and hiring smart, ambitious people to help us do it.

Own it from day one. We give our people responsibility and autonomy. You get the chance to take the initiative and get the job done.

Grow as fast as we do. The company's trajectory sets the ceiling, and right now there isn't one.

Join an elite team. We combine world-leading AI, computer vision and construction expertise. This unique blend helps us innovate faster and better than others.

Share what you build. Every employee gets the chance to hold equity. You're invested in the outcome, not just working toward it.

Requirements

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.
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  1. A CV for this posting

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  2. 25 readers review it

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    The review screen in CV Rocket: how each CV was read, round by round.

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