Note: The job is a remote job and is open to candidates in USA. Planbition, a zvoove company, is building a modern analytics and Business Intelligence solution for the temp-staffing industry. They are seeking a product-minded fullstack engineer with a strong data focus to create reliable insights and analytical workflows from operational data.
Responsibilities
- Build backend services, APIs, internal tools, lightweight UI/admin screens, automation, job runners, integrations, and customer-specific configuration around the data
- Ingest, validate, transform, and document ERP, API, SQL, file, and cloud data; map product-defined KPIs to available sources and identify gaps or inconsistencies
- Create validated, analysis-ready datasets with consistent schemas, reproducible transformations, and clear naming for reporting, APIs, product features, and customer-facing analytics
- Deploy and operate reliable cloud solutions, preferably AWS, owning monitoring, alerts, failure handling, performance, cost, and operational reliability
Skills
- Fullstack Product Engineering: Build backend services, APIs, internal tools, lightweight UI/admin screens, automation, job runners, integrations, and customer-specific configuration around the data
- Data Pipeline & Modeling: Ingest, validate, transform, and document ERP, API, SQL, file, and cloud data; map product-defined KPIs to available sources and identify gaps or inconsistencies
- Curated Data Products: Create validated, analysis-ready datasets with consistent schemas, reproducible transformations, and clear naming for reporting, APIs, product features, and customer-facing analytics
- Cloud & Production Ownership: Deploy and operate reliable cloud solutions, preferably AWS, owning monitoring, alerts, failure handling, performance, cost, and operational reliability
- AI-Native Development: Hands-on with Claude Code, Codex, and agent-based workflows; GitHub Copilot-style autocomplete alone is not enough
- Familiar with worktrees, subagents, MCP, structured prompts, harness engineering, parallelization, and validating AI-generated code and analysis to production quality
- Strong fullstack/backend experience, ideally with Python and/or TypeScript
- Able to build production-grade services, APIs, scripts, tools, automation, and clean interfaces; comfortable with version control, review, debugging, testing, and existing systems
- Strong SQL, data modeling, analytical schemas, transformations, and downstream data use
- Able to translate product-defined KPIs into datasets and metrics, and validate messy operational data, edge cases, system limitations, and customer-specific differences
- Hands-on with AWS or similar cloud environments, including storage, databases, queues, containers, serverless/scheduled processing, SDKs, and APIs
- Understands deployment, secrets, networking, permissions, runtime configuration, scalability, performance, cost, and operational trade-offs
Benefits
- Collaboration in an empathetic, appreciative team with room to contribute ideas and take ownershipIndividual development opportunities, structured onboarding, and interdisciplinary collaboration
- Flexible working models including hybrid work, home office, and mobile working
- A modern tech environment and agile ways of working
- Additional benefits such as pension plans, health offers, and employee discounts
Company Overview