Top Hybrid Software Engineer Jobs

Develop and enhance complex software applications, analyze technical problems, create component designs, write defect-free code, and execute system, integration, regression, and unit testing. The role requires cloud, microservices, containerization, and software development expertise, along with participation in Agile/Scrum delivery, continuous improvement, design decisions, backlog tracking, and mentoring junior engineers. Telecommuting is permitted up to 60%.

Leads and develops software engineering teams while overseeing technical execution, architecture, scalability, security, testing, monitoring, and delivery. Partners with Product, Design, Data, and Business teams to define roadmaps, prioritize initiatives, and build platform integrations and financial systems. Provides mentorship, career planning, architectural guidance, and process improvement across established products and greenfield initiatives.

Lead the design and development of ETL solutions for regulatory risk compliance at PNC, requiring advanced programming skills and collaboration on data-intensive applications.

Lead Agile software teams developing secure full-stack web applications for defense and national security customers. Responsibilities include sprint planning, technical leadership, customer requirements gathering, frontend development with React, backend API development with Python, cloud deployment, containerization with Docker and Kubernetes, and collaboration on scalable, maintainable software systems using DevSecOps practices.

Develop and maintain Java microservices and APIs for Caterpillar’s MineStar ecosystem. Lead AI-assisted software delivery using agentic workflows for planning, implementation, testing, documentation, reviews, and production support. Ensure secure, reliable, maintainable engineering outcomes through quality gates, architecture decisions, validation, and governance. Provide technical leadership, mentor engineers, troubleshoot incidents, perform root-cause analysis, and create reusable AI delivery patterns, prompts, and playbooks.

Leads the technical direction and architecture of data product systems, including APIs, backend services, data stores, and processing systems. Builds and reviews production code, partners with product managers, data scientists, and ML engineers, and oversees system design, operations, observability, and on-call health. The role also mentors engineers, drives cross-team technical alignment, evaluates machine-learning production systems, and guides effective use of AI engineering tools.

Owns implementation, integration, reporting, maintenance, and support for Oracle Fusion Financials, Procurement, EPM, and related enterprise systems. Partners with Finance and Accounting teams on requirements, solution design, reconciliations, period close, SOX audits, patching, testing, and production troubleshooting. Develops Oracle-to-Snowflake data pipelines, integrations, reports, and AI agents through Oracle Fusion AI Agent Studio to automate finance workflows and improve operational efficiency.

Build and maintain full-stack digital products across discovery, prototyping, implementation, and maintenance. Develop user experiences, real-time interactions, APIs, and backend services while writing clean, efficient code. Collaborate with product, design, engineering, and customers; contribute to product strategy; fix bugs; and own large initiatives in a fast-paced startup environment.

Build and deploy full-stack custom solutions for strategic customers using monday.com APIs, SDKs, app frameworks, and automation tools. Lead customer discovery, translate business needs into technical designs, develop production applications, manage deployment and DevOps considerations, and support live solutions. Projects typically last 2–6 weeks and require strong communication, independent execution, and customer collaboration.

Develop and maintain scalable, highly available software across the full SDLC. Lead design, implementation, testing, deployment, monitoring, and maintenance of backend services and major features. Contribute to architecture, performance, quality, and system scalability; resolve systemic issues; document requirements; and support customer needs. Mentor engineers, lead technical breakdowns, participate in Agile practices, and work with cloud platforms, messaging systems, machine learning, and distributed data technologies.