Remote Backend Software Engineer - Web/ML Dev Ops

Description Company DescriptionChooch helps build and run Computer Vision AI applications that make cameras intelligent—enhancing productivity and revenue while reducing operational costs. Chooch has been named a leading computer vision platform by IDC. Role DescriptionWe’re looking for aBackend Software Engineer (US-based)to join our team in a full-time, remote role. You’ll build and own thebackend systems that power our Computer Vision AI platform and analytics products —including APIs, data services, model-serving integrations, and the infrastructure that enables reliable deployments for healthcare, manufacturing, and retail customers. This role involves frequent collaboration with technical and non-technical stakeholders and close partnership with Solutions Engineering and ML teams. You’ll have significant opportunity to lead technical initiatives, improve platform reliability and scalability, and provide product feedback grounded in real-world deployments.Key ResponsibilitiesBackend Systems & API DevelopmentDesign, build, and maintainscalable backend servicesthat support CV/LLM workflows, analytics, and customer-facing applications. Develop and evolveREST/GraphQL APIs , internal service interfaces, and event-driven integrations. Implement authentication/authorization patterns and ensure secure service-to-service communication. Data Platforms & Analytics EnablementBuild and maintain thedata layer(storage, indexing, retrieval) that supports analytics, reporting, and search across CV outputs. Implementstreaming and batch pipelinesfor 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). Model Integration & Serving CollaborationPartner with ML engineers toproductionize model inference : deployment patterns, versioning, monitoring, and rollback strategies. Integrate CV and LLM services into backend workflows with an emphasis onlatency, throughput, and observability . Support experimentation while ensuring production systems remain stable and maintainable. Reliability, Performance, and ObservabilityOwn service health viametrics, 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. Cross-Functional Delivery & Customer ImpactWork closely with Solutions Engineering to translate customer requirements into scalable backend solutions. Troubleshoot complex issues in production deployments (you won’t be alone, but youwillbe the calm voice in the room). Contribute to technical roadmaps and platform standards as we scale across customers and industries. On-Site Travel and Field Testing (Occasional)Some deployments are live with major Fortune 500 customers; occasional travel may be required to validate performance, gather requirements, and ensure systems operate reliably in real-world environments.Requirements Must-have Strong backend engineering experience building and maintaining production services and APIs. Proficiency inPython(writing clean, testable, maintainable code). Solid understanding ofrelational databasesand SQL (preferablyPostgreSQL ), 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 withGitand 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 withcomputer vision / image processinglibraries (e.g., OpenCV) to understand inputs/outputs and troubleshoot issues. Experience withcloud platforms(AWS/Azure/GCP) and deploying scalable services. Experience withcontainerization 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.