Full Stack System Architect

Senior Fullstack EngineerJob Summary:Black Dog Labs is seeking a skilled Senior Fullstack Engineer to join our team. As a senior full-stack engineer, you will be responsible for designing, building, and shipping user-facing features across the backend and frontend.Key Responsibilities:Design, build, and ship user-facing features across the backend and frontend; own requirements from spec to production rollout.Implement and maintain RESTful services; design clean request/response contracts; handle auth (OAuth2/OIDC/JWT), rate limiting, idempotency, validation, and auditing.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.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.Collaborate with data engineers to consume and expose curated datasets; design APIs and services that sit on top of warehouses/lakes and operational databases.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.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.Apply least-privilege access, secrets management, and encryption in transit/at rest; support secure-by-default patterns in API, SDK, and UI design.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.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.Requirements:5+ years building and operating web applications or SaaS products as a full-stack or backend engineer.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.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.Practical experience with REST patterns, pagination, validation, rate limiting, and OAuth2/OIDC/JWT.Proficient in SQL (query tuning, indexing, query plans) and good RDBMS fundamentals (e.g., Postgres, SQL Server, MySQL); comfortable modeling application data.Experience integrating with data pipelines or warehouses (e.g., consuming tables/views, working with ETL/ELT outputs, or equivalent exposure to data platform).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 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).Habit of writing tests for backend and frontend code; comfortable with fixtures/test data and running tests in CI.Clear, concise writing and verbal communication; comfortable in async chat and live sessions.Ready to use AI tooling to accelerate work while exercising judgment, understanding code deeply, and writing your own tests.Preferred Qualifications:Experience working closely with data engineering / analytics teams (e.g., defining data contracts, coordinating schema changes, supporting BI/analytics features).Experience designing developer-friendly SDKs (clear APIs, good DX, documentation, versioning and deprecation strategies).Exposure to analytics concepts (dim/fact modeling, event tracking, BI consumption patterns) and how product design affects them.Familiarity with event streaming/message queues (e.g., Kafka, Event Hubs, SQS/SNS) and when to use them vs. HTTP APIs.Experience with data-driven UIs (dashboards, reports, filters, exports) and performance considerations.Data platform architecture awareness (storage/layout choices, basic catalog/lineage/governance concepts) is a plus.Familiar with logs/metrics/traces, dashboards, and actionable alerts for both backend services and key frontend flows.Experience with cloud monitoring stacks (Azure Monitor/Application Insights, CloudWatch, Datadog, New Relic, etc.).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 zonesCompensation: Competitive, based on experienceMode: Remote; available for virtual collaboration and on-call windows as agreed