Top Hybrid Software Engineer Jobs

Design, build, and maintain high-throughput, low-latency C++ systems for symbol resolution. Develop scalable APIs, participate in design/code reviews, monitor and troubleshoot production, champion best practices, and mentor teammates.

Conduct research and develop advanced computational algorithms and numerical methods for engineering simulations. Implement, evaluate, validate, optimize, and integrate algorithms and scientific software into the company’s computational platform. Lead computational studies, solve complex technical problems, translate research prototypes into reliable software, and communicate findings across multidisciplinary teams. The role requires strong programming, mathematical, analytical, and research abilities, with adaptability in a fast-paced startup environment.

Develops and enhances application software using Java and Spring Boot, performs unit and integration testing, troubleshoots defects, supports deployments, and collaborates with internal, offshore, and external teams. The role follows software development lifecycle practices, contributes to planning and estimating, manages code and test environments, and builds expertise in property and casualty insurance systems. Guidewire, Python, cloud, CI/CD, DevOps, and React experience are preferred.

Own the end-to-end architecture, development, delivery, and support of a mobile-first event and stakeholder communication platform. Build scalable multi-venue capabilities, enhanced access controls, low-latency offline and mesh networking, and enterprise integrations. Partner with business development on technical discovery, sales demonstrations, privacy and architecture discussions, and pilot deployments. Select cost-effective tooling, collaborate through peer programming, leverage AI development tools, and establish reliable architectural patterns for rapid product growth.

Designs, builds, and owns scalable Python backend systems, REST APIs, and AWS infrastructure. Makes architectural decisions, ensures reliability and security for sensitive data, troubleshoots production issues, collaborates across teams, mentors engineers, and contributes to technical standards and platform direction.

Develop and maintain reliable, scalable web applications using C#, JavaScript, .NET, and SQL. Lead code reviews, refactoring, optimization, feature development, testing, documentation, and technical research. Collaborate with product, UX, architecture, clients, and stakeholders on requirements, integrations, data transfers, and SSO. Resolve complex software issues, maintain dependencies, demonstrate features, and help establish development standards and best practices.

Develop and maintain Python-based geospatial data workflows, analysis tools, GIS applications, web services, and data products. Perform spatial analysis and QA/QC for geospatial data, code, and automated workflows. Support database, web application, and enterprise GIS integrations while documenting processes, testing solutions, and communicating technical results. The role collaborates with GIS professionals, developers, scientists, and stakeholders and requires eligibility for a DOE Q-level clearance.

Own the architecture, roadmap, and production operation of GridCARE’s AWS-based data platform. Design ingestion, data models, storage, compute, APIs, distributed processing, governance, observability, and reliable serving layers for energy data. Build and operate AI coding agent teams, establish platform standards, mentor engineers, and partner with product and domain experts. The role requires hands-on backend, distributed systems, data infrastructure, ETL/ELT, AWS, and technical leadership experience.

Leads a player-coach engineering team responsible for data platform delivery, reliability, access governance, cost optimization, Looker standards, conversational analytics, and cloud operations across GCP and AWS. The role sets architecture and technical standards, manages incidents and capacity, develops engineers, hires talent, and contributes hands-on through coding, automation, and code reviews. It also drives AI-enabled engineering practices and enterprise analytics platform adoption.

Build and maintain a modern advertiser management platform, including scalable backend services, APIs, microservices, relational data models, and high-performance middleware. Contribute to architecture, system design, troubleshooting, testing, documentation, code reviews, and performance optimization. Collaborate with product, design, and engineering teams while evaluating emerging technologies and AI-assisted development tools.