C
Clever
Staff Full Stack Software Engineer
Skills
ReactTypescriptDjangoPythonPostgreSQLAINo-code Automations
1 month ago
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Important information
Contract type:
Permanent
Salary:
$180,000 – $250,000 / year
Location:
United States
Work mode:
Onsite
Published on:
4 September 2026
What they need
- 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
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