Senior fullstack engineer

Position: Senior Fullstack Engineer (with Data Engineering Experience) Location: Remote (collaboration across time zones), India or LATAM preferred Engagement Type: Contract (12+ months) Language: Proficient English communication Experience: 5+ years in Full-Stack Engineering / Backend Engineering, with meaningful exposure to data systems and applications About the role We’re looking for a hands-on Senior Fullstack Engineer who can own features end-to-end: backend services, frontend experiences, and the data flows that power them. Your primary strength is building web applications and APIs, and you have some experience working with databases or analytics, plus a clear interest in doing more with data integration and pipelines. You’ll design and build APIs, UIs, and supporting infrastructure, and you’ll also build and maintain frontend SDKs (Next.js/React) that other teams can use to integrate with the platform. You should be comfortable moving between frontend (React/Next.js + Type Script), backend (e.g., Node.js or Python), and cloud infrastructure (strong Azure or AWS preferred). You’re curious about how data moves through the system and want more hands-on opportunities at those integration points. You communicate clearly (async chat and live sessions), learn fast, and use AI coding tools (e.g., Claude Code) effectively - without relying on them as a crutch. We are looking for candidates who can join in December 2025, even if part time for the first few weeks. Key Responsibilities Product features end-to-end: Design, build, and ship user-facing features across backend and frontend; own requirements from spec to production rollout. APIs & backend services: Implement and maintain RESTful (and occasionally event-driven) services; design clean request/response contracts; handle auth (OAuth2/OIDC/JWT), rate limiting, idempotency, validation, and auditing. Frontend development & SDKs: Build responsive, accessible UIs using React/Next.js + Type Script (dashboards, admin/ops views, analytics-flavored screens). Design and maintain a frontend SDK (hooks, components, and utilities) that product teams can use to integrate with backend APIs and data services. Provide example Next.js integration patterns and reference implementations. Data-aware design: Work with product and data teams to design schemas and models that support both product workflows and analytics; understand how data will be queried and reported on. Integration with data pipelines: Collaborate with data engineers to consume and expose curated datasets; design APIs and services that sit on top of warehouses/lakes and operational databases. Infrastructure & Dev Ops: Use Terraform or similar Ia C to provision and manage app infrastructure; automate build/test/deploy with CI/CD; write solid shell scripts for glue/ops tasks. Observability & reliability: Instrument structured logs, metrics, and traces across services and UIs; define alert policies and on-call runbooks; help track SLOs and drive root-cause prevention. Security basics: Apply least-privilege access, secrets management, and encryption in transit/at rest; support secure-by-default patterns in API, SDK, and UI design. Quality & tests: Write unit, integration, and end-to-end tests (for both backend and frontend); contribute to contract tests and data-quality checks where the app touches data pipelines. Collaboration & docs: Communicate clearly in writing and in person; produce concise docs (API specs, SDK docs, data contracts, feature runbooks, UI flows); work closely with product/engineering/analytics. Required Skills & Qualifications Core engineering experience: 5+ years building and operating web applications or Saa S products as a full-stack or backend engineer. Backend: Strong experience with at least one modern backend stack (e.g., Node.js/Type Script, Python/Fast API/Django, or similar); familiarity with REST best practices and common patterns. Frontend (Next.js/React): Proficiency with React and Next.js using Type Script or Java Script. Experience building reusable UI components and hooks, handling routing, data fetching, and basic performance tuning. Comfort designing and maintaining a frontend SDK (client library + components/hooks) that wraps backend APIs. APIs & auth: Practical experience with REST patterns, pagination, validation, rate limiting, and OAuth2/OIDC/JWT. Databases & SQL: Proficient in SQL (query tuning, indexing, query plans) and good RDBMS fundamentals (e.g., Postgres, SQL Server, My SQL); comfortable modeling application data. Data engineering exposure: Experience integrating with data pipelines or warehouses (e.g., consuming tables/views, working with ETL/ELT outputs, or equivalent exposure to data platform). Cloud: Strong experience with Azure or AWS (e.g., app hosting, storage, identity, monitoring - such as Azure App Service / Container Apps, API Management, Front Door, or AWS Lambda, ECS / Fargate, API Gateway, Cloud Front, Cognito) and comfort navigating core services and IAM in at least one CSP. Ia C & CI/CD: Ia C fundamentals (Terraform is good, but Serverless Framework / Cloud Formation / CDK, etc. are also acceptable); CI/CD experience (version control workflows, automated tests, environment promotion, release strategies). Testing mindset: Habit of writing tests for backend and frontend code; comfortable with fixtures/test data and running tests in CI. Communication: Clear, concise writing and verbal communication; comfortable in async chat and live sessions. AI tooling: Ready to use Claude Code and/or Git Hub Copilot from day one to accelerate work - while exercising judgment, understanding code deeply, and writing your own tests. Preferred Qualifications (Nice to Have) Data/analytics collaboration: Experience working closely with data engineering / analytics teams (e.g., defining data contracts, coordinating schema changes, supporting BI/analytics features). SDK & DX: Experience designing developer-friendly SDKs (clear APIs, good DX, documentation, versioning and deprecation strategies). Analytics concepts: Exposure to analytics concepts (dim/fact modeling, event tracking, BI consumption patterns) and how product design affects them. Eventing & messaging: Familiarity with event streaming/message queues (e.g., Kafka, Event Hubs, SQS/SNS) and when to use them vs. HTTP APIs. Data-driven UIs: Experience with data-driven UIs (dashboards, reports, filters, exports) and performance considerations. Data platform awareness: Data platform architecture awareness (storage/layout choices, basic catalog/lineage/governance concepts) is a plus. Observability: Familiar with logs/metrics/traces, dashboards, and actionable alerts for both backend services and key frontend flows. Monitoring: Experience with cloud monitoring stacks (Azure Monitor/Application Insights, Cloud Watch, Datadog, New Relic, etc.). Internal tools: Comfort prototyping simple internal tools or admin panels using component libraries. Engagement Details Duration: 12+ months (extension/full-time possible) Schedule: Flexible, with overlap for key meetings across time zones Compensation: Competitive, based on experience Mode: Remote; available for virtual collaboration and on-call windows as agreed How to Apply Please share: Resume/CV highlighting full-stack work (backend + frontend), SDK or library work, and any notable data/analytics or Dev Ops/Ia C experience Brief note (one paragraph) about a recent feature, SDK, or system you shipped: requirements, your role, tech stack (frontend + backend + data), validation/tests, deployment/ops, outcome Links to code samples or design docs (if available and shareable) Apply via or by sending an email to