Hybrid Backend Software Engineer – Web/ML Dev Ops

at Chooch AI

• Job title: Backend Software Engineer – Web/ML Dev Ops
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Docker, Google Cloud Platform, GraphQL, JavaScript, Kubernetes, Linux, Postgres, Python, SQL
• Location requirements: Hybrid, San Mateo, United States

About the role

• Backend Software Engineer responsible for building robust backend systems for AI and analytics products. Collaborating with various teams to enhance platform reliability and performance.

Responsibilities

• Design, build, and maintain scalable backend services that support CV/LLM workflows, analytics, and customer-facing applications.
• Develop and evolve REST/GraphQL APIs, internal service interfaces, and event-driven integrations.
• Implement authentication/authorization patterns and ensure secure service-to-service communication.
• Build and maintain the data layer (storage, indexing, retrieval) that supports analytics, reporting, and search across CV outputs.
• Implement streaming and batch pipelines for ingesting camera/edge events and transforming model results into customer-ready insights.
• Define data contracts, schemas, and quality checks to keep downstream systems sane (because data loves chaos).
• Partner with ML engineers to productionize model inference: deployment patterns, versioning, monitoring, and rollback strategies.
• Integrate CV and LLM services into backend workflows with an emphasis on latency, throughput, and observability.
• Support experimentation while ensuring production systems remain stable and maintainable.
• Own service health via metrics, logs, tracing, alerting, and incident response practices.
• Optimize system performance across API latency, queue backlogs, database efficiency, and inference throughput.
• Improve platform robustness through testing strategy, CI/CD, and infrastructure-as-code collaboration.
• Work closely with Solutions Engineering to translate customer requirements into scalable backend solutions.
• Troubleshoot complex issues in production deployments (you won’t be alone, but you will be the calm voice in the room).
• Contribute to technical roadmaps and platform standards as we scale across customers and industries.

Requirements

• Strong backend engineering experience building and maintaining production services and APIs.
• Proficiency in Python (writing clean, testable, maintainable code).
• Solid understanding of relational databases and SQL (preferably PostgreSQL), including schema design and query optimization.
• Comfort operating in a Linux environment: command line, debugging, log analysis, and basic networking concepts.
• Experience with modern software development practices: code reviews, testing, CI/CD, and shipping iteratively.
• Proficiency with Git and collaborative workflows (feature branches, PRs, conflict resolution).
• Strong problem-solving skills with a track record of diagnosing and resolving complex issues in production.
• Clear communication skills and ability to collaborate with cross-functional partners (Solutions, ML, Product, customers).
• Nice-to-have
• Experience integrating or supporting ML/CV systems in production (model serving, inference pipelines, monitoring).
• Working familiarity with computer vision / image processing libraries (e.g., OpenCV) to understand inputs/outputs and troubleshoot issues.
• Experience with cloud platforms (AWS/Azure/GCP) and deploying scalable services.
• Experience with containerization and orchestration (Docker, Kubernetes) and infrastructure best practices.
• Exposure to frontend fundamentals (HTML/JS) enough to collaborate effectively with full-stack teammates.
• Education
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field — or equivalent practical experience.

Benefits

• Chooch offers extensive benefits including health, dental, vision insurance, 401K with 3% match, extensive PTO, and life insurance policies included.