Top Hybrid Software Engineer Jobs

Lead and grow a 3–5-person engineering team while owning observability, evaluation frameworks, scalable integrations, and the customer-facing Copilot product. Contribute hands-on Python and TypeScript code, troubleshoot production issues, guide reliability and scalability efforts, partner with Product and engineering teams, remove blockers, mentor engineers, and support hiring.

Leads the GTI engineering team, managing people, delivery, architecture, code quality, releases, production health, and on-call operations. The role remains hands-on, requiring contributions across C#/.NET services, TypeScript/React frontend systems, SQL Server, Azure infrastructure, CI/CD, observability, and testing. The manager partners with product, design, and tax content teams to ship reliable tax and regulatory software on schedule.

Paid 10-week Python software engineering internship on a DevOps team. Responsibilities include developing Python scripts, optimizing tooling, supporting CI/CD, collaborating with senior technologists, deploying solutions, and exploring AI-driven automation for log analysis, anomaly detection, and alerting in a trading infrastructure environment.

Lead a global software engineering team building and operating scalable, fault-tolerant electronic trading platforms. Own technical strategy, architecture, requirements, development, testing, production support, and delivery. Design event-driven systems using Java and Kafka, guide cloud-native modernization with Kubernetes, evaluate technologies, mentor engineers, and establish strong engineering practices. Partner closely with product, architecture, business, and executive stakeholders while applying AI-assisted development practices and maintaining a customer-focused product mindset.

Staff Software Engineer responsible for designing and implementing resilient, scalable, high-performance healthcare software across the full application stack. The role develops frontend and backend services using VueJS, NodeJS, Java, Spring, AWS, databases, and APIs; contributes to technical and product strategy; promotes testing and engineering excellence; and works independently across distributed systems. Preferred experience includes generative AI, machine learning, Kafka, data pipelines, statistics, and healthcare technology.

Build and ship high-impact full-stack features using React, NodeJS, MongoDB, AWS, and Snowflake. Own vertically sliced functionality across the full software development lifecycle, including design, coding, testing, code review, deployment, API development, and production support. Collaborate with engineering, sales, stakeholders, and customers to prioritize product opportunities, incorporate feedback, and improve engineering processes and systems.

Design and deliver partner integrations for global pay-in and pay-out networks. Build scalable, resilient, observable services in a cloud-based architecture while using AI-assisted development. Own service health, on-call support, SLOs, incident response, technical specifications, design reviews, and architecture decisions. Mentor engineers, interview candidates, collaborate with product and operations teams, support modernization of legacy services, and help shape technical roadmaps.

Develop and implement software solutions using Java, Python, and JavaScript; design scalable applications and microservices; conduct code reviews; apply CI/CD and ATDD practices; analyze business requirements; manage testing and troubleshooting; and support digital integration and architecture initiatives. The role also involves client collaboration, relationship building, mentoring junior team members, and applying AI-human collaboration to improve software capabilities and user experiences.

Build and operate backend-focused production software, APIs, integrations, databases, distributed systems, and asynchronous workflows. Develop AI-enabled and agentic systems with retrieval, tool use, evaluation, permissions, observability, and reliability controls. Own products from definition through iteration, collaborate with data engineering, data science, and SRE, make pragmatic technical tradeoffs, and mentor engineers.

Develop and support full-stack applications for wealth management technology, including new project delivery, production support, defect resolution, compliance, audit, and regulatory work. Responsibilities include application and data integration, SQL and scripting, cloud application development, enterprise data warehouse support, testing, documentation, and collaboration with IT and business stakeholders. The role uses Java, Spring Boot, React, Node.js, AWS, Kubernetes, Terraform, and related development and monitoring tools.