Top Hybrid Software Engineer Jobs

Design, develop, test, and maintain full‑stack web applications using the .NET stack. Build responsive UIs with ASP.NET MVC and React, implement backend services with .NET/.NET Core, write database queries for MS SQL Server and PostgreSQL, participate in code reviews, CI/CD, and troubleshoot application issues.

Leads enterprise integration and data readiness architecture, implementation, governance, and enablement. Designs data lakes, warehouses, lakehouses, data products, marketplaces, semantic layers, and AI-ready data assets using platforms including Informatica, Databricks, Snowflake, and SAP. Drives data quality, lineage, security, privacy, MDM, self-service analytics, reporting, natural-language querying, training, and organizational adoption. Provides hands-on technical leadership, delivery oversight, prioritization, mentoring, technology evaluation, and value realization across business functions.

Software engineering intern supporting and enhancing legacy applications used for customer ordering, warehouse operations, and purchasing. Responsibilities include coding, testing, debugging, documenting, designing program enhancements, creating unit test plans, resolving issues, and participating in Agile Scrum ceremonies. The intern will gain experience with COBOL, JCL, IBM Mainframe, Tandem systems, enterprise software, and modernization initiatives while working with technical teams and business stakeholders.

Design, develop, test, implement, and support full-stack cloud-native software solutions in Azure. Build microservices and RESTful APIs, integrate databases and third-party services, maintain CI/CD pipelines, and apply DevOps, Agile, testing, code review, and software engineering best practices. Collaborate with cross-functional teams on sprint planning, prioritization, delivery milestones, innovation, and technical risk mitigation.

The Software Engineer is responsible for designing, developing, testing, and maintaining full-stack web applications using .NET technologies, focusing on individual contributions and learning team standards.

Design, implement, verify, and debug real-time embedded flight software for spacecraft and space vehicles. Lead architecture and design decisions, develop simulators and automated testing frameworks, perform system-level testing, and support CI efforts. Collaborate with hardware, avionics, guidance, navigation, control, and systems teams. Mentor engineers, review requirements and code, and contribute across multiple Agile programs.

Leads a 10–15-person software development team, establishing scalable Scrum leadership and standardized delivery processes. Partners cross-functionally to deliver projects on time, within scope, with strong quality, customer satisfaction, and margins. Oversees developer utilization, dashboards, QA, compliance, auditability, continuous improvement, and leadership reporting. Builds high-performing teams, develops technical leaders, and creates structure in ambiguous, transformational environments.

Leads the engineering function for identity, compliance, and risk shared services. Owns roadmap, domain models, architecture, regulatory requirements, hiring, team development, incident response, threat modeling, and cross-functional partnerships with Product, Compliance, Legal, Security, and Risk. This player-coach role requires hands-on technical leadership in regulated financial systems, including identity, onboarding, AML, fraud, and risk decisioning.

Develop and maintain Power Apps and Power Automate solutions for Department of the Interior mission and administrative processes. Build Dataverse models, integrate Microsoft 365 and third-party APIs, and implement secure, reliable, accessible applications. Responsibilities include requirements analysis, development, testing, UAT, deployment, monitoring, troubleshooting, performance optimization, documentation, and knowledge transfer in a federal IT environment.

Lead engineering process transformation by establishing a modern SDLC, improving team self-organization, balancing technical debt with product delivery, coordinating distributed and external teams, and ensuring work follows clear specifications. Partner with product, executives, and the Lead Software Engineer to improve throughput, delivery consistency, and codebase stability. Use AI-enabled planning, reporting, and bottleneck identification while fostering a healthy, accountable engineering culture.