Top Software Engineer Jobs

Develop and modernize enterprise Power Apps canvas and model-driven applications, integrating Power Automate, Dataverse, Power BI, Azure services, Microsoft 365, and REST APIs. Design database models, migrate legacy workflows, remediate vulnerabilities, configure data gateways, perform testing, and support Agile project teams. Communicate designs and progress while meeting delivery timelines for a federal government client.

Build, test, deploy, and maintain software products within an Agile/SAFe team. Responsibilities include architecture, implementation, testing, user-story refinement, operational support, and continuous improvement. The role uses C#/.NET and/or JavaScript/TypeScript, React, SQL, Git, AI development tools, cloud services, automated testing, CI/CD, and modern web-service patterns.

Owns the delivery, quality, performance, release execution, and technical governance of Lovesac’s enterprise eCommerce platform. Responsibilities include reviewing vendor code and architecture, managing releases, resolving production issues, monitoring integrations and site performance, validating automated testing, supporting security and accessibility reviews, and overseeing system integrators. The role requires hands-on experience with Adobe Commerce or Salesforce Commerce Cloud, storefront architecture, APIs, CI/CD, technical SEO, analytics, and enterprise commerce integrations.

Build and own end-to-end product experiences across APIs, SDKs, and web interfaces, including billing, authentication, usage dashboards, and cost reporting. Integrate billing systems and vendor APIs, develop observable and auditable systems, and collaborate with finance, product, design, and engineering teams. The role requires API design, React development, cloud experience, automation, and AI-assisted coding practices.

Designs, builds, and maintains customer-facing features and core business systems, including inventory, order management, financial, and fulfillment platforms. Owns scalable APIs and applications, develops production code, creates technical specifications, reviews designs, mentors engineers, and ensures quality through testing and monitoring. Requires expertise in event-driven systems, typed languages, relational databases, REST API versioning, SQL optimization, and distributed technologies such as Redis, Kafka, and SQS.

Develops and delivers scalable SaaS applications across the full software development lifecycle. Responsibilities include feature development, architecture documentation, performance tuning, code reviews, unit and automated testing, release support, production troubleshooting, SQL optimization, monitoring, and collaboration in an Agile environment. The role also supports QA and client services while following security, privacy, accessibility, and compliance requirements.

Develops, maintains, and enhances enterprise software applications in Linux environments using Java and Python. Responsibilities include designing microservices and service-oriented architectures, deploying containerized applications with Docker and Kubernetes, integrating MongoDB or MySQL databases, debugging and optimizing software, testing, and documenting development activities with Jira and Confluence. The role requires collaboration with systems engineers and an active TS/SCI clearance with polygraph.

Design and scale backend services, data pipelines, event-driven systems, and integrations supporting autonomous manufacturing operations. Build LLM agents and RAG workflows for supplier document analysis, manage PostgreSQL data models, integrate ERP and freight APIs, implement caching and rate limiting, and establish observability and incident response practices. The role requires transactional processing expertise, NLP/ML pipeline experience, and manufacturing supply chain domain knowledge.

Develop and integrate the MPAS dynamical core within the UFS Weather Model. Build NUOPC coupling infrastructure, standalone component testing, portable HPC builds, CI workflows, and parallel performance improvements across CPU and GPU platforms. Maintain code, troubleshoot failures, manage Git-based collaboration, evaluate AI tools, document systems, coordinate with model stakeholders, and mentor colleagues. The role requires strong Fortran and Python development skills, Earth system modeling experience, HPC expertise, and U.S. citizenship or Green Card status.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.