Black Dog Labs
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Senior Fullstack Engineer

Contract
Engineering
Remote (India or LATAM preferred)
Competitive, based on experience
Posted 11/21/2025

Hands-on Senior Fullstack Engineer to own features end-to-end across backend, frontend, and the data flows that power them; build APIs, UIs, and frontend SDKs; collaborate on data integration and pipelines; and work in Azure or AWS with modern tooling and AI assistants.

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, with some experience around databases or analytics and a clear interest in doing more with data integration and pipelines. You’ll design and build APIs, UIs, and frontend SDKs (Next.js/React), and move comfortably between React/Next.js + TypeScript, Node.js or Python, and Azure or AWS, using AI coding tools like Claude Code 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.

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What You'll Do

  • 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 + TypeScript (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 & DevOps: Use Terraform or similar IaC 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.

What We're Looking For

  • Core engineering experience: 5+ years building and operating web applications or SaaS products as a full-stack or backend engineer.
  • Backend: Strong experience with at least one modern backend stack (e.g., Node.js/TypeScript, Python/FastAPI/Django, or similar); familiarity with REST best practices and common patterns.
  • Frontend (Next.js/React): Proficiency with React and Next.js using TypeScript or JavaScript. 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, MySQL); 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, CloudFront, Cognito) and comfort navigating core services and IAM in at least one CSP.
  • IaC & CI/CD: IaC fundamentals (Terraform is good, but Serverless Framework / CloudFormation / 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 GitHub Copilot from day one to accelerate work - while exercising judgment, understanding code deeply, and writing your own tests.

Preferred qualifications

  • 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, CloudWatch, 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.

Benefits & perks

  • Competitive contract compensation.
  • Flexible remote work across time zones.
  • Opportunity to work across frontend, backend, and data integration.
  • Modern stack with React/Next.js, Node.js/Python, and Azure/AWS.
  • Hands-on learning in data integration, pipelines, and data platform concepts.
  • Practical use of modern AI coding tools (Claude Code, GitHub Copilot) in day-to-day work.
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