SITE Technologies is a company focused on revolutionizing facility management with AI solutions. They are seeking a Lead Backend Software Engineer to manage a small backend team while also being involved in the architecture and implementation of backend systems, ensuring high-quality delivery and collaboration with various teams.
Responsibilities:
- Lead the technical design and hands-on implementation of core backend APIs and services, primarily in Python and FastAPI
- Set architectural direction for domain models, relational schemas, service boundaries, data consistency, and API contracts
- Translate product priorities into well-scoped delivery plans, milestones, and technical decisions
- Personally lead critical-path development, code reviews, release planning, and incident response
- Set and maintain high standards for testing, CI/CD, observability, security, performance, and production reliability
- Build reliable integrations across geospatial, media, reporting, asset management, and third-party vendor systems
- Develop and maintain ETL and data migration processes for imagery, geospatial, and operational data
- Directly manage 3 to 4 senior backend engineers through regular one-on-ones, feedback, performance management, and career development, while overseeing nearshore engineers or consultants as needed
- Delegate work effectively, remove delivery blockers, and ensure the team ships high-quality backend systems predictably
- Partner with product, frontend, data, operations, and QA teams to prioritize tradeoffs and deliver customer value
- Hire, onboard, mentor, and develop strong backend engineers
Requirements:
- 7+ years of experience in backend development, with strong proficiency in Python
- Demonstrated experience as a hands-on technical lead while directly managing engineers
- Very strong ability to reason from first principles about backend architecture, workflow modeling, API boundaries, data consistency, security, and operational failure modes
- Strong product judgment and ability to turn ambiguous business needs into clear technical plans and deliverable milestones
- Proven ability to mentor senior engineers, give direct feedback, and raise team performance
- Strong communication skills and ability to lead across product, frontend, data, operations, and business teams
- Experience building production APIs with FastAPI or similar Python frameworks
- Strong understanding of relational data modeling, PostgreSQL, SQLAlchemy or comparable ORM libraries, and database migration tools such as Alembic or Flyway
- Experience with AWS backend services such as ECS, Lambda, RDS, S3, IAM, and related services
- Experience with Docker, Git, and designing and maintaining CI/CD pipelines with GitHub Actions, AWS CodePipeline, or similar tools
- Practical fluency with AI coding agents such as Claude Code and Cursor
- Experience working in a dynamic startup environment
- Experience managing distributed teams or external engineering partners
- Knowledge of infrastructure as code, preferably Terraform and Terragrunt
- Experience with observability tools such as Datadog and Sentry
- Experience designing authentication and authorization flows
- Experience with 2D and 3D geospatial data
- Experience with ETL pipeline development, data migration, or large-scale unstructured data processing
- Experience building agentic systems with tools such as LangGraph, Claude Code SDK, and Amazon Bedrock
- Experience modernizing legacy systems while preserving production behavior