Jobs at ACV

Develop and lead scalable backend SaaS services using Go, Node.js, AWS, Kafka, PostgreSQL, and NoSQL databases. Responsibilities include system architecture, event-driven workflows, API integrations, data modeling, testing, CI/CD, observability, incident response, technical roadmaps, production support, and mentoring. The role owns complex initiatives end to end and drives engineering standards, reliability, performance, and maintainability across distributed systems.

Develops end-to-end computer vision and machine learning solutions for vehicle damage detection. Responsibilities include training robust models, building high-throughput containerized REST/gRPC model-serving microservices, managing the full ML lifecycle, optimizing real-time inference, collaborating with stakeholders, and maintaining Kafka-based streaming data pipelines. The role also involves annotation and evaluation frameworks, cloud backend engineering, and technical design leadership.

Develop and maintain web applications, backend services, and distributed systems on a cross-functional agile team. Responsibilities include designing scalable services, planning feature rollouts, conducting code reviews, writing documentation, building automated test suites, and ensuring product reliability and performance.

Senior software developer responsible for building and operating scalable backend services for a VIN Decoder platform. The role develops Python APIs, services, and workers using PostgreSQL, Redis, AWS, and GCP BigQuery; designs data models and optimized SQL; integrates third-party APIs; and drives reliability, observability, testing, incident response, and operational maturity. The developer also contributes to architecture, code reviews, documentation, Agile delivery, on-call support, and technical mentorship.

Build and maintain dbt analytics models, data quality tests, SQL transformations, semantic-layer metrics, and Omni BI dashboards for the Assurance business. Partner with stakeholders on arbitration risk, forecasting, product insights, and dealer-facing reporting. Independently scope and deliver analytical projects, respond to urgent questions, create self-service analytics capabilities, and communicate recommendations clearly to nontechnical audiences.

Designs and trains computer vision models for vehicle damage detection, builds high-throughput containerized model-serving microservices, and manages the end-to-end ML lifecycle. The role includes developing Kafka-based streaming data pipelines, optimizing models for real-time inference, maintaining annotation and evaluation frameworks, and collaborating with stakeholders to deliver scalable production solutions.