Top Tech Jobs & Startup Jobs

Lead design and development of web applications and back-end solutions using Python and React. Collaborate with teams to ensure technical excellence and adherence to best practices.

The Automation Engineering Associate Advisor coordinates project teams, automates testing for web/mobile applications, troubleshoots issues, and enhances testing processes while ensuring quality in a high-frequency technology environment.

Design, develop, and deploy machine learning applications focused on embeddings and vector databases. Collaborate with teams to integrate AI/ML solutions and maintain data quality throughout the lifecycle, ensuring scalability and performance optimization of models.

The role involves designing, developing, and deploying AI solutions as a Fullstack Software Engineer focusing on privacy, security, and application efficiency.

Lead and grow a data engineering team to design, build, and operate scalable data pipelines and platforms. Partner with analytics, product, and clinical teams to ensure data quality, governance, and timely delivery. Mentor engineers, set technical direction, and drive cloud-based architecture and best practices.

This role involves designing, coding, testing, and debugging applications. Responsibilities include problem-solving, leading a team, and enhancing application integration efficiency.

Lead and grow a data engineering team to design, build, and operate scalable data pipelines and platforms; partner with product and analytics teams; ensure data quality, performance, and delivery; mentor engineers and drive technical strategy.

The Scrum Master facilitates Agile processes, supports team performance, removes impediments, and mentors teams towards effective software delivery and continuous improvement.

The Software Engineering Lead Analyst will design and implement AI solutions, manage full stack applications, and ensure production support, working closely with business partners.

Design, implement, and deploy scalable GenAI full‑stack solutions and APIs with emphasis on privacy, security, and fairness. Collaborate with stakeholders, perform code reviews, support DevOps/monitoring, and drive ML model deployment and integrations within Agile teams.