Jobs at 4M Analytics

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.

Own onboarding, adoption, and renewals for a portfolio of AEC enterprise accounts. Build executive and project-level relationships, track account health and usage, identify expansion opportunities, lead implementations, and feed customer insights into product and sales strategy to protect and grow ARR.

Build and maintain resilient, highly available cloud infrastructure using Terraform and EKS. Lead GitOps with ArgoCD, manage Grafana-based observability, implement autoscaling (Karpenter), develop Python tooling and AI agents, and integrate automated image scanning and SCA into the SDLC to ensure security and reliability.

The role involves building HR programs, supporting HR processes, partnering with managers on talent development, and optimizing HR infrastructure in a fast-paced tech environment.

Lead research and production implementation of computer vision and algorithmic solutions, own end-to-end model quality and deployment, design experiments, monitor production health, mentor team members, and integrate AI-augmented workflows while collaborating with data engineering and product teams.

Build and maintain distributed data pipelines (SQS, Airflow, Kubernetes), integrate ML outputs into ETL workflows, contribute to shared Python libraries, debug multi-service pipelines, improve observability, and manage ETL/data infrastructure and database operations for large-scale datasets.