Top Software Engineer Jobs

Develop and maintain secure cloud-native applications across the full stack, including Python backend services, React or Next.js interfaces, REST APIs, dashboards, databases, authentication, and legacy data migration. Deploy applications across AWS classified partitions using Terraform and GitLab CI/CD. Support existing platforms while delivering pilot solutions and MVPs in STIG-hardened, FIPS-validated environments.

Own backend systems and infrastructure end-to-end, designing, deploying, and scaling performant APIs and services on AWS using Node.js and TypeScript. Deliver reliable production code quickly, establish engineering best practices, make architectural tradeoffs, and collaborate with product engineers and stakeholders. The role emphasizes system ownership, scalability, performance, reliability, and effective use of AI-assisted development tools.

Leads high-level systems analysis, software design, development, testing, debugging, and implementation across multiple platforms. Guides engineers, drives development standards, automated testing, and CI/CD adoption, and supports root-cause analysis and production issues. Mentors team members, collaborates with global development resources, advises business leaders on technology improvements, and uses data and cost measures to support project and operational decisions.

Design and build the core vCluster Platform using Go and deep Kubernetes expertise. Own backend features end to end, from technical design through release, while solving complex systems architecture challenges involving networking, storage, isolation, and resource sharing. Contribute to open-source projects and the Kubernetes community, operate autonomously in a high-growth startup, and help define scalable Kubernetes multi-tenancy solutions.

The Senior Engineer will lead the design and implementation of technology solutions within the Accounting domain, mentor team members, and collaborate with business stakeholders to ensure successful outcomes.

Develop, test, maintain, and support software for Liberty University’s Student Information System and Identity Management services. The role involves full-stack development, code reviews, architectural decisions, technical discussions, troubleshooting, testing, CI/CD practices, and mentoring junior developers. The developer collaborates with technical leads, business analysts, and stakeholders to deliver secure, scalable, maintainable solutions and may support high- or critical-priority incidents after hours.

Develop and maintain custom applications, APIs, integrations, reports, automation, and AI-enabled solutions for business functions including Finance, HR, Payroll, and Legal. Gather requirements, improve workflows, troubleshoot systems, support deployments, document solutions, and implement security and data governance controls. Collaborate with technical and non-technical stakeholders, vendors, and third-party providers while delivering solutions in a Microsoft .NET environment.

Build and launch financial products with customer engineering teams using Column’s banking APIs. Own strategic customer engagements from onboarding through launch, write production-quality code, debug payment flows, design integrations, and advise on ledgering, reconciliation, compliance, and money movement. Translate customer patterns into platform, API, documentation, and developer-experience improvements while managing multiple engagements and executive-level relationships. The role is based in San Francisco and requires frequent domestic and international travel.

Design, develop, maintain, and customize Guidewire ClaimCenter solutions. Reverse engineer legacy codebases, integrate ClaimCenter with external systems through SOAP and REST APIs, and ensure scalability, performance, and reliability. Troubleshoot complex technical issues, contribute to upgrades and migrations, and collaborate with business analysts, architects, and developers. The role requires strong Guidewire, Java, Spring Boot, Gosu, data model, and integration expertise, with DevOps, cloud, and front-end experience preferred.

Work on data collection, automation, and data processing pipelines; build scheduling tooling, data cleaning/normalization, monitoring dashboards, and assist with DevOps. Mostly Python codebase with some Typescript and Golang. Office presence in downtown San Francisco a few times per week.