As a Senior Full-Stack Software Engineer at Clever, you will own meaningful customer and operational problems from initial framing through production
Working across our Python/Django backend and React/TypeScript frontend, you will turn ambiguous needs into complete, reliable solutions
We are a small, high-autonomy team looking for engineers who make sound tradeoffs, move quickly, and remain accountable for outcomes. AI is core to how we work: you will use it to materially increase your speed, quality, and scope while retaining responsibility for everything you deliver
Own full-stack product and operational initiatives from problem framing through implementation, launch, and production validation
Turn ambiguous requirements into practical plans, milestones, and shippable increments
Build and maintain reliable applications using Django and TypeScript
Make sound decisions about architecture, data models, APIs, integrations, testing, security, and production operations
Use AI tools throughout investigation, development, testing, debugging, and review to deliver materially better outcomes
Validate AI-assisted work rigorously and recognize when direct engineering judgment is required
Work directly with Product, Design, Operations, and other stakeholders to understand the underlying problem and define successful outcomes
Communicate progress, decisions, risks, and blockers proactively
Diagnose production issues, restore service responsibly, and drive follow-up improvements that reduce recurrence
Improve the systems, tooling, and engineering practices that help the broader team move faster and produce better work- Experience diagnosing production behavior using logs, metrics, traces, profiling, and other forms of operational evidence
Experience designing and integrating APIs, relational data models, and third-party services
Strong written and verbal communication skills in a remote, cross-functional environment
Demonstrated ownership of meaningful production outcomes
Strong backend development experience with Python and Django
Experience building user-facing applications with React and TypeScript
Meaningful experience using AI tools in a professional engineering workflow
Strong understanding of automated testing, security, data integrity, failure handling, and maintainable software design
5+ years of professional software engineering experience
Ability to explain technical decisions, tradeoffs, and measurable results
Experience in a lean product organization where engineers work directly with business or operational stakeholders
Experience with marketplaces, matching, routing, lead management, workflow automation, or other multi-sided products
Experience building integration-heavy systems involving CRMs, communications platforms, webhooks, asynchronous jobs, or third-party APIs
Experience with PostgreSQL, background-processing systems such as Celery
Experience delivering complete features across both backend and frontend systems
Experience with production incidents, migrations, concurrency, data-quality problems, or other high-consequence workflows
Experience turning successful AI workflows into reusable automation, tooling, or team practices
