• Design, train, debug, and improve object detection models • Build training pipelines and manage datasets • Perform error analysis and optimize inference • Deliver production-grade services using Docker and CI/CD • Write technical documentation and maintain logging/monitoring systems

• Design, build, and maintain backend services that power core products and platforms. • Develop event-driven systems using Go and Kafka. • Build scalable microservices in containerized environments using Docker and Kubernetes. • Contribute to architecture decisions that improve performance, resiliency, and maintainability. • Collaborate with engineers, product managers, designers, and QA to deliver end-to-end solutions. • Own your code in production, monitor, debug, and continuously improve service performance and reliability. • Write automated tests and follow CI/CD best practices to ensure high-quality deployments. • Participate in code reviews, technical discussions, and knowledge sharing across teams. • Support on-call rotation alongside senior team members to help maintain production systems.

• The professional will be responsible for providing technical solutions for new features and offering necessary support for existing features. • We also expect this person to assist other team members with technical issues while ensuring the best solution for the business. • We place a strong emphasis on quality, which includes clean and readable code (clean code).

• Support teams of 2-6 developers/designers/ QA analysts of varying skill levels and experience, providing guidance and support to ensure delivery on project commitments to meet client expectations. • Work closely with the COO, Operations Manager, Project Managers, and team to communicate project progress, challenges, resourcing needs, and project needs. Staff Engineers co-lead delivery projects in partnership with the Project Manager to deliver projects on budget and on time. • Mentor team members on assigned projects to follow SmartLogic processes for product development, working with the Project Manager to plan our weekly goals for the team to keep projects on track. • Pre-Sales & Solution Architecture: Partner with sales and consulting leadership to support technical discovery, solution architecture, and rough-order-of-magnitude estimates that are timely and defensible. • AI-Assisted Development: Leverage modern AI tools to improve development speed, quality, and maintainability; help establish best practices for their use on project teams. • DevOps Leadership: Provide hands-on leadership for CI/CD pipelines, deployment strategies, environment configuration, and production operations. • Infrastructure & Cloud Architecture: Design, review, and support scalable, secure cloud and server architectures (primarily AWS and Azure). • Support and validate decision making on assigned projects in collaboration with the project team, and other Staff Engineers reporting to the Director of Engineering. • Serve as the technical expert on assigned projects; QA and review PRs for submitted code.