Software Engineer, GeoTech Team

Posted 12 Days Ago
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Tel Aviv, ISR
Hybrid
Senior level
Artificial Intelligence • Information Technology • Software • Analytics
The Role
Lead backend and GIS software development for subsurface utility mapping. Design Python applications, ETL workflows, databases, data infrastructure, and CI/CD pipelines for processing, testing, monitoring, and maintaining geospatial data quality. Collaborate with product, design, and QA teams, provide technical guidance, review third-party technologies, optimize systems, and address technical debt. The role requires strong Python, GIS, PostgreSQL, AWS, orchestration, containerization, and debugging experience within an AI-first engineering culture.
Summary Generated by Built In
Description

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 120 employees currently based in Tel Aviv, Israel, and Austin, Texas.

The Opportunity

We're looking for a backend Software Engineer to join our GeoTech team as a key contributor. In this role, you'll help process and structure all data coming into our product, execute data pipelines, and maintain data quality. Your role will be pivotal in creating a unified, up-to-date, and accurate utilities map, services, and applications for accelerating our mapping operations. Your contributions will directly impact our core product's success.

Key Responsibilities

  • Lead the design and implementation of software solutions, ensuring alignment with project goals and objectives.
  • Provide technical guidance to team members, fostering a collaborative and supportive team culture.
  • Collaborate with cross-functional teams, including product managers, designers and QA engineers, to deliver high-quality software products.
  • Design and implement CI/CD processes for data processing, releasing, testing and monitoring, ensuring robustness and consistency.
  • Create and manage data infrastructure components, including ETL workflows, databases, supporting seamless data flow and accessibility.
  • Develop and optimize complex Python-based applications and services to allow more efficient data processing capabilities, enhancing quality and accuracy of our data.
  • Conduct technical reviews of third-party tools, frameworks and technologies.
  • Identify technical debt and areas for improvement, implementing solutions to enhance code quality and maintainability.
  • implement technologies, industry trends and software development methodologies.
Requirements

Required Qualifications

  • 4+ years as a software engineer with solid Python skills
  • Proven experience with AI development tools - we use Claude Code as a daily tool on our team
  • Familiarity with Airflow (or comparable orchestration)
  • Experience with PostgreSQL/SQL, AWS services, K8S, Docker, debugging
  • Fluent written and verbal English

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 your craft.

Preferred Qualifications (not required!)

  • An affinity for maps, with bonus points for direct GIS experience
  • Civil engineering related experience
  • Experience working with message queues, ArgoCD, Helm, or KEDA in Kubernetes environments

Skills Required

  • 5+ years of backend or software engineering experience
  • Solid Python skills
  • 3+ years of GIS or geospatial development experience
  • Experience with PostGIS, GeoParquet, and coordinate systems
  • Experience with AI development tools, including Claude Code
  • Familiarity with Airflow or comparable orchestration tools
  • Experience with AWS services
  • Solid PostgreSQL and SQL skills
  • Solid debugging skills
  • Experience with Kubernetes and Docker
  • Fluent written and verbal English
  • Civil engineering-related experience
  • Experience with message queues
  • Experience with ArgoCD, Helm, or KEDA in Kubernetes environments
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The Company
HQ: Austin, Texas
133 Employees
Year Founded: 2019

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/

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