Top Software Engineer Jobs

Design, develop, and ship scalable cloud-native platform features using C#/.NET, React or Angular, Azure services, APIs, and microservices. Use AI coding assistants responsibly throughout development, testing, reviews, and documentation. Translate requirements into technical designs, troubleshoot production issues, improve reliability and security, and collaborate with product, QA, and scrum teams. Contribute to AI/LLM prototypes, automated testing, CI/CD, code reviews, and continuous improvement.

Owns and optimizes self-managed, on-premises PostgreSQL deployments at scale. Responsibilities include query and index tuning, hardware and OS optimization, replication, high availability, failover, backup and point-in-time recovery, disaster-recovery testing, upgrades, automation, monitoring, security, and documentation. The role also evaluates PostgreSQL extensions, leads root-cause analysis, reviews designs, and mentors engineers.

Design, build, and scale cloud-native healthcare software and distributed systems. Own architecture, API integrations, performance, reliability, security, CI/CD, observability, and technical documentation. Mentor engineers, establish engineering best practices, collaborate with product and cross-functional teams, and deliver customer-focused features that improve healthcare discharge workflows.

Build and operate customer-facing healthcare workflows, internal tools, automated communication agents, dashboards, and operational prototypes. Partner with navigators, operations, customers, Product, Sales, and Account Management to improve outcomes, automate processes, validate changes, and standardize scalable solutions. Responsibilities include workflow configuration, agent guardrails, testing, rollout and rollback planning, root-cause analysis, documentation, HIPAA-compliant PHI handling, and post-deployment verification.

Develop and maintain full-stack business applications using C#/.NET, Python, SQL, Blazor, and related technologies. Responsibilities include feature development, debugging, data investigations, reporting, EDI and import pipeline support, production issue triage, automated testing, and operational data fixes. The role collaborates with business teams and IT leadership to resolve issues, improve processes, and maintain reliable internal systems.

Own end-to-end customer implementations—discovery, integration, deployment, and optimization. Write production-grade code, convert messy workflows into automated solutions, and act as the technical face to customers to ensure successful outcomes.

Build, maintain, and scale e-commerce backend services using Python and Django. Develop REST APIs and features for catalogs, inventory, carts, checkout, orders, payments, and accounts. Integrate third-party services, optimize databases and performance, implement security controls, write tested code, resolve production issues, and collaborate on architecture, planning, reviews, deployment, and CI/CD.

Designs, develops, tests, maintains, and improves complex business applications in a PCI-compliant environment. The role involves peer code reviews, Agile development in Azure DevOps, large-scale cross-team projects, system performance and availability, and collaboration with business stakeholders. The developer will use object-oriented programming, shell scripting, source control, Microsoft Dynamics technologies, and AI-powered development tools while participating in an on-call rotation.

Develops software solutions by interpreting requirements and creating code, databases, and user interfaces. Supports requirements definition, acceptance criteria, business requirements documentation, and Agile team processes while following security and CMMI requirements. Requires an active DOE Q or Top Secret clearance and eligibility to obtain SCI access. The position is full-time in Albuquerque, New Mexico, and contingent upon contract award.

Build and maintain scalable backend services and modern frontend applications for an AI-powered video intelligence platform. Lead engineering projects from design through deployment, develop interfaces for complex AI workflows, contribute to architecture and production readiness, and collaborate with Product, Design, and ML teams. The role also involves establishing engineering best practices, improving system reliability, and supporting technical direction.