SQUAD
Technology
EngineeringLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Engineering Lead at SQUAD. Skills: Backend engineering, Team leadership, AI/ML workflows. Lead backend team. Own delivery planning”
Industry & Context.
Resolve trade-offs; Troubleshooting; Debugging; Incident resolution
What They're Looking For.
Must Have
Proven experience leading backend teams, Python backend development experience, Experience designing backend services, Experience operating production backend systems, Practical AWS experience, Experience with containerized systems, System design skills, Proven people management skills
Nice to Have
Kubernetes experience preferred, Experience with data-heavy backend systems, Experience in AI/ML, Familiarity with security-sensitive systems, Product mindset, Interest in user workflows
What You'll Do.
Own delivery planning
Manage technical risk
Ensure engineering quality
Drive technical excellence
Guide design decisions
Resolve architectural trade-offs
Support complex issues
Manage and develop engineers
Improve team execution
Address technical debt
Improve knowledge-sharing
How You'll Work.
Team & Collaboration
Cross-functional stakeholders; Applied Science; Data; Product; Engineering teams
Communication Scope
Clear communication; Direct communication; Pragmatic decisions
Process & Methodology
Delivery planning, Risk management
Full Job Description
Team Summary We are the backend engineering team for a data annotation platform that powers AI/ML workflows, including data preparation, quality control, and integration with model training pipelines. Our focus is on backend services, data workflows, platform reliability, and scalability. We collaborate closely with Applied Science, Data, Product, and other engineering teams. Job Summary We are seeking an experienced Engineering Lead to guide and manage our backend team. This role combines backend engineering leadership, stakeholder collaboration, ownership of team delivery, and people management. You will be responsible for setting technical direction, driving execution quality, developing engineers, and ensuring the reliability and scalability of engineering systems that directly support AI/ML development. Responsibilities and Duties Lead and manage the backend team and own all aspects of delivery, including planning, execution, technical risk management, and engineering quality Drive technical excellence by guiding key design decisions, resolving architectural trade-offs, and supporting the team on complex production, reliability, and scalability issues for backend services, APIs, and data workflows Manage and develop engineers through regular 1:1s, performance support, coaching, and career development Improve team execution by addressing technical debt, process gaps, and knowledge-sharing needs in partnership with cross-functional stakeholders (Applied Science, Data, Product, etc.) Qualifications and Skills Proven experience leading and managing backend engineering teams Strong practical experience with Python backend development Experience designing, building, and operating production backend services, APIs, and data-processing workflows Practical AWS experience for building, operating, and troubleshooting production backend systems Experience with containerized backend systems, queues, background jobs, and/or workflow orchestration (Kubernetes experience is pr
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