Top Software Engineer Jobs

Build and own full-stack software for insitro’s laboratory platform, including React and TypeScript interfaces, Python services, database models, instrument and Benchling integrations, and agent runtimes. Partner with scientists, biology, automation, and machine learning teams to understand workflows and deliver useful, verifiable tools. Prototype agentic tooling, support production reliability, review code and designs, and contribute to accelerating drug development.

Paid ten-week IT internship supporting technical requirements analysis, cross-functional solution implementation, digital solution development, software and systems engineering, application coding and automation, and network, storage, and cloud system design. Interns receive classroom and technical training, mentorship, and exposure to insurance operations while collaborating with IT teams on real projects. The role requires onsite work four days per week and is designed for students pursuing technology-related degrees.

Lead the design and development of scalable cloud-based asset insight platforms, including data ingestion, transformation pipelines, integrations, APIs, and reusable software components. Provide technical leadership for architecture, reliability, performance, and production operations. Collaborate with global engineering, product management, and marketing teams while applying agentic AI and automation across the software development lifecycle and product capabilities.

Develop and lead full-stack software development for AI-powered defense and national security products. Responsibilities include architecting scalable backend systems, building React front-end components and Node.js services, designing APIs and databases, conducting code reviews, defining software development standards, collaborating with product and UX/UI teams, gathering customer feedback, training users, and implementing automated testing and CI/CD practices.

Designs, builds, tests, deploys, and optimizes full-stack product features using React and Python. Develops GraphQL integrations, scalable backend services, data visualizations, analytics instrumentation, and production-ready platform capabilities. Contributes to UX workflows, CI/CD, monitoring, code quality, and stakeholder updates while collaborating in agile sprints and evaluating new technologies.

Build and own Roboflow Labs’ data platform, including catalog, delivery, contributor payout, and shared data infrastructure. Develop reliable pipelines for dataset ingestion, validation, packaging, provenance, rights tracking, and auditability. Automate quality controls such as consensus review, fraud detection, duplicate detection, and quality metrics. Establish engineering standards for architecture, observability, code review, releases, and on-call practices while partnering with operators and integrating with Roboflow’s core platform.

Build and operate scalable backend infrastructure for financial data, including ingestion, transformation, integration, and serving systems. Design high-performance distributed pipelines handling millions of documents and datapoints, support AI and retrieval systems, and integrate heterogeneous financial sources. Ensure secure, compliant, reliable handling of customer data while collaborating with globally distributed engineering teams and influencing technical direction.

Develop and support Microsoft Dynamics 365 Finance and Operations solutions, customizations, integrations, and Azure-based applications. Collaborate with cross-functional teams to analyze requirements, design scalable software, integrate data pipelines, test and debug applications, document solutions, maintain platforms, and support upgrades. The role also involves managing project requirements and risks, staying current with Microsoft technologies, and mentoring team members.

Designs, develops, tests, and maintains scalable cloud backend software, databases, APIs, SDK integrations, and middleware interfaces. Troubleshoots complex technical issues, improves testing and validation, supports cloud infrastructure and performance optimization, evaluates technologies and vendors, and provides technical leadership. Collaborates with software, firmware, development, leadership, and cross-functional teams to deliver reliable solutions aligned with product and business goals.

Lead the Desktop Software Engineering team, ensuring application reliability, managing desktop systems, and building effective endpoint engineering processes.