Top Hybrid Software Engineer Jobs

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.

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.

Lead Pega architecture, solution design, workflow development, claims-matching logic, business rules, routing, exception handling, and integrations with healthcare claims and enterprise systems. The role requires healthcare payer or claims expertise and may involve Pega Robotics, RPA, Robot Manager, QNXT, and Pega certification. The description also references mid-level Pega development responsibilities.

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.

Customer-facing engineer who builds demos, prototypes, and workshops to drive pre-sales and adoption of Motorq's connected-vehicle and AI capabilities; partners with sales, customer success, and product teams and travels regularly to customer sites.

Develop Python applications and testing scripts for Wi-R reference hardware, including smartglasses, earbuds, wearables, EEG and EMG nodes, and health-monitoring devices. The role involves backend development, AWS server deployment, embedded programming, low-level hardware interfacing, firmware debugging, hardware compatibility validation, and test automation. Candidates should understand IoT systems, communication protocols, electrical test equipment, CI/CD, and virtualization or container technologies.

Develop and maintain full-stack business applications using Agile practices. Responsibilities include gathering user stories, integrating enterprise systems, creating SSRS reports, testing applications, supporting QA, documenting procedures, training users, and verifying regulatory compliance. The role requires collaboration with customers, business analysts, vendors, and engineering organizations, along with participation throughout the software development lifecycle.

Supports software engineering teams by designing, coding, debugging, testing, and troubleshooting applications and components. The intern contributes to architecture discussions, researches emerging technologies, supports version control and deployment, and collaborates with senior developers and mentors. Projects may involve artificial intelligence, cloud technologies, data science, scripting, forensics, signals processing, or vulnerability research.

Leads and mentors an Agile team of software and QA engineers, guiding architecture, design, development, testing, deployment, and product releases. Owns technical direction, software quality, estimates, code reviews, automated testing, performance, and release readiness. Partners with product, UX, DevOps, hosting, delivery, and customer teams to prioritize work, resolve technical issues, improve processes, and deliver reliable software within scope, schedule, quality, and budget expectations.

Support client deployments by troubleshooting imports, metadata, integrations, permissions, and access issues. Analyze logs, API responses, and scripts to identify root causes, participate in migrations and platform rollouts, prepare environments, validate data, and support go-live activities. Build scripts, internal tools, and AI agents to automate recurring deployment work and improve team processes. Work directly with client technical teams and escalate product issues with clear diagnoses.