Top Tech Jobs & Startup Jobs

Design, build, deploy, and support secure, scalable production software and AWS infrastructure. Implement CI/CD with GitHub Actions, monitoring and alerting, and maintain engineering standards. Work in a cross-functional Agile team, mentor colleagues, and improve processes to ensure stable, repeatable releases.

Lead a team of engineers in designing and delivering software solutions. Mentor engineers while overseeing architecture, quality, and delivery in alignment with business goals.

Lead and develop high-performing data science teams to build AI-powered search, retrieval, NLP, generative AI, and knowledge systems for scientific discovery. Define strategy, drive production deployments, establish evaluation and responsible AI practices, partner with product and engineering, mentor staff, and influence senior stakeholders to deliver measurable impact.

Design, build, and maintain scalable automated testing frameworks (Webdriver.io or Playwright) using JavaScript/TypeScript. Develop REST API, accessibility (WCAG), and performance/load tests. Implement BDD (Cucumber/Gherkin), integrate suites into CI/CD (Jenkins/GitHub Actions/BrowserStack), and collaborate cross-functionally in Agile to ensure reliable, maintainable test coverage and high-quality releases.

Responsible for designing and developing scalable web applications using React and Node.js. Involves collaboration in Agile, mentoring engineers, and ensuring code quality.

Design, build, and support API platform components (authentication, authorization, throttling, quotas, developer portal). Implement test-driven solutions, fix bugs, document designs, follow coding best practices, and operate in Agile/Waterfall environments while improving developer experience and observability.

As a Senior ML Ops Engineer, you will bridge Data Science and Engineering to automate ML workflows, manage CI/CD for ML systems, and collaborate with various teams to implement solutions for AI features and services.

The Quality Engineer II role involves automating tests, developing frameworks, API testing, integrating with CI/CD pipelines, and performing accessibility and performance testing.

Lead analytics and evaluation for search and retrieval systems: define measurement strategies, run experiments, analyze ranking and user behavior, build dashboards, ensure data quality, and partner with product, data science, and engineering to improve relevance and retrieval performance.

Lead the design and development of scalable agentic AI systems, integrating advanced technologies and best practices to enhance content management solutions for health education.