Jobs at Spark Eighteen

Develop and optimize MySQL databases, including schemas, queries, indexes, migrations, security, availability, and production troubleshooting. Build ETL and data movement workflows using Airflow, MySQL tools, or scripts, while supporting reporting, analytics, application development, incident response, and root-cause analysis. Collaborate with engineering and data teams to maintain reliable database environments and pipelines involving PostgreSQL.

Develop and deploy production machine learning systems for fall detection and health risk scoring. Build classical ML models, engineer features from radar and point-cloud data, contribute to pose estimation, and create Databricks training and inference pipelines. Own model evaluation and false-alarm reduction for a safety-critical system, monitor deployed models, and mentor team members while working in a fast-moving environment.

Design, deploy, and operate production-scale data platforms in secure, fully air-gapped customer environments. Translate client requirements into working solutions, independently own implementation and delivery, troubleshoot manual deployments, collaborate with technical and non-technical stakeholders, travel to client sites, and mentor junior engineers.

Designs, implements, and maintains scalable, secure, reliable cloud infrastructure using AWS, Terraform, AWS CDK, and CI/CD automation. The role involves cloud architecture, networking, security, high availability, cost optimization, troubleshooting, and infrastructure-as-code development. It also requires collaboration, technical solution design, root-cause analysis, and ownership of maintainable infrastructure solutions.

Design and develop secure, scalable Python backend systems; contribute to architecture, APIs, microservices, databases, and performance optimization. Conduct code reviews, troubleshoot and maintain systems, establish testing and coding standards, and mentor junior engineers. Collaborate cross-functionally to deliver high-quality applications while driving continuous improvement and engineering best practices.

Build and ship scalable production web applications across the frontend and backend using React, TypeScript, Node.js, and PostgreSQL. Develop responsive interfaces, APIs, backend services, authentication, and role-based access control. Integrate LLM capabilities, write automated tests, manage deployments and CI/CD, troubleshoot production issues, and work with AWS, Docker, infrastructure-as-code, and monorepos.

Designs, deploys, and operates production-scale data platforms in fully air-gapped environments. Builds Airflow and Spark pipelines for high-volume sensor, satellite, and third-party data; develops PostgreSQL, TimescaleDB, PostGIS, and DuckDB solutions; manages Docker-based deployments and MinIO storage; and handles data quality, observability, documentation, troubleshooting, and SLA compliance without cloud services.

Build and maintain ETL pipelines, data transformations, data models, BI dashboards, and reports. Design scalable relational database schemas and use Python or Java, SQL, AWS, and workflow orchestration to solve complex production data problems. Translate technical findings into business insights while collaborating with technical and non-technical stakeholders. Apply Agile practices and support enterprise and SaaS release cycles, with healthcare compliance experience preferred.

Design, build, and optimize scalable Playwright automation frameworks using TypeScript or JavaScript. Automate UI, API, and backend testing; integrate test pipelines with CI/CD; maintain test stability; debug failures; lead test strategy and release documentation; contribute to Agile ceremonies; and mentor junior QA engineers. The role also involves SQL-based backend validation and collaboration with cross-functional teams on mission-critical systems.

Lead the architecture and implementation of scalable, secure, high-performance, multi-region backend systems using Node.js and TypeScript. Drive reliability, performance, security, testing, observability, deployment consistency, and incident response across teams. Design distributed architectures, GraphQL APIs, authentication systems, serverless applications, and multi-cloud solutions. Influence technical strategy, optimize costs and latency, mentor developers, facilitate cross-functional alignment, and translate complex engineering initiatives into business outcomes.