Top Software Engineer Jobs in Pittsburgh, PA

Leads software development for healthcare initiatives, implementing customer-focused solutions and supporting R&D teams. Develops enterprise applications using Java or Kotlin, Spring, PostgreSQL, React or Angular, REST APIs, and cloud architectures, preferably AWS. Collaborates across distributed Agile teams, contributes to healthcare system integrations, and applies testing and automation practices.

Develops, integrates, tests, deploys, maintains, and troubleshoots enterprise software across Microsoft platforms. Builds web, desktop, cloud, Microsoft 365, API, and AI-enabled solutions, including generative AI and LLM applications. Gathers requirements from legal and business stakeholders, leads technical project work, supports vendors, improves development standards and roadmaps, and ensures secure, scalable application delivery.

Develop and support backend applications, APIs, enterprise integrations, and services for mortgage-industry operations. Build solutions using C#, .NET, JavaScript, SQL Server, and Microsoft technologies; troubleshoot issues; participate throughout the software development lifecycle; and collaborate with product managers, business stakeholders, and engineers. The role also involves cloud development, code reviews, testing, deployment, documentation, production support, and integration with third-party financial platforms.

Lead full-stack software development for a digital solutions platform supporting AI, analytics, and autonomous infrastructure inspections. Design platform features, streaming modules, and lifecycle improvements; integrate machine learning and computer vision models; troubleshoot production defects; tune application and database performance; estimate technical work; mentor developers; and coordinate CI/CD integration and deployment with global teams.

Develop and maintain .NET applications using C#, ASP.NET Web Forms, MVC, Web API, WCF, Entity Framework, and client-side technologies. Responsibilities include REST services, T-SQL programming, query tuning, index management, and web development with HTML, CSS, JavaScript, AngularJS, jQuery, and Knockout. Candidates must complete an online technical screening within 24 hours of submission.

Own and develop backend services, APIs, integrations, data pipelines, and referral workflows using Python, with React frontend work as needed. Serve as the subject matter expert for a business domain, improve reliability and data quality, review designs and code, and partner with Product and Operations. Build AI-agent skills, rules, and context while introducing agentic development practices using coding tools.

Entry-level software engineering role supporting product development across the full lifecycle, from concept and prototyping through production launch, sustaining support, and end-of-life. Responsibilities include requirements analysis, coding, testing, implementation, documentation, database updates, system optimization, troubleshooting, and production support. The role is hybrid in Cranberry Township, Pennsylvania, with three onsite days weekly and potential periodic travel.

Leads the technical design, configuration, development, integration, testing, and support of Pega payment solutions using Pega Smart Investigate for Payments. Resolves complex application, data, integration, and workflow issues; guides junior team members; reviews code and documentation; and supports release management and process improvement. The role requires strong Pega architecture expertise, banking or payment exception processing experience, API integration knowledge, and CSSA certification.

Own the Linux user-mode runtime, driver, and HAL interfaces for a Fabric accelerator. Responsibilities include runtime library design, compiler and kernel-driver integration, memory and resource management, ML framework backends, pre-silicon bring-up using simulation, emulation, QEMU, and FPGAs, and comprehensive runtime testing. Collaborate across compiler, architecture, verification, and kernel teams to support first-silicon deployment.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The engineer will own projects from discovery through implementation and ongoing improvement, using strong backend engineering skills in Python, Bash, and Linux environments.