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 seeking an experienced Software Engineer with a strong background to become an integral member of our Data-Core team, tasked with the mission of processing, structuring, and analyzing hundreds of millions of data sources. 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.
Responsibilities
- Collaborate with cross-functional teams to design, build, and maintain data processing pipelines while contributing to our common codebase.
- Contribute to designing and implementing data architecture, ensuring effective data storage and retrieval.
- Develop and optimize complex Python-based applications and services to allow more efficient data processing and orchestration, enhancing the quality and accuracy of our datasets.
- Drive the scalability and performance optimization of data systems, addressing infrastructure challenges as data volume and complexity grow.
- Create and manage data infrastructure components, including ETL workflows, databases, supporting seamless data flow and accessibility.
- Design and implement CI/CD processes for data processing, model training, releasing, testing and monitoring, ensuring robustness and consistency.
- Implement geospatial data processing techniques and contribute to the creation of our unified utilities map, enhancing the product's geospatial features.
- Bachelor's degree in Computer Science, Engineering, or related field.
- 4+ years of experience in software engineering with a focus on data systems.
- Proficiency in Python.
- Experience with big data technologies like Hadoop, Spark, or Kafka.
- Strong problem-solving skills and attention to detail.
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
Skills Required
- 4+ years as a backend/software engineer with solid Python skills
- Experience as a Data Infrastructure Engineer or similar role managing large-scale datasets
- Proven experience with AI development tools (Claude Code)
- Experience deploying and testing code within Kubernetes environments
- Experience working with message queues (SQS, Kafka, RabbitMQ) and handling consumer errors
- Familiarity with Airflow (or comparable orchestration) and Docker in production
- Experience with AWS services (SQS, S3) or comparable cloud platforms
- Solid PostgreSQL/SQL skills; comfortable writing complex queries and working with multiple databases
- Experience working in a large existing codebase and following established patterns
- Strong debugging skills; trace problems through logs and multiple services
- Bachelor's degree in Computer Science, Engineering, or equivalent (including relevant army background)
- AI-first mindset; curious and driven to experiment with AI tools and 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/
