Top Software Engineer Jobs in Pittsburgh, PA

Develop and lead implementation of mathematical optimization models for supply chain applications. Investigate heuristics and optimization techniques, translate real-world problems into software, and design comprehensive testing strategies. Build robust C++ software, automated functional, regression, and performance tests, and collaborate with agile teams. Apply AI and other tools to accelerate development while maintaining architectural consistency, security, and code quality. Review AI-generated code for correctness, integration risks, and edge cases.

Administer, configure, develop, and troubleshoot NetSuite and connected financial systems, including Zone Billing and SuiteProjects Pro. Support month-end close, reconciliations, data integrity, integrations, statutory reporting migration, user access controls, testing, and documentation. Partner with Accounting, FP&A, and IT teams on system enhancements and reporting needs while serving as backup to the Financial Systems Lead and developing toward systems architecture leadership.

Design, develop, test, review, and maintain medium-complexity software systems. Translate product requirements into scalable, secure, modular, and maintainable applications; provide application support; participate in design and code reviews; and mentor less experienced engineers. The role requires programming expertise, knowledge of data structures, algorithms, databases, caching, and strong collaboration and problem-solving skills.

Leads multiple product engineering squads, owning delivery, architecture, technical priorities, production quality, security, scalability, staffing, hiring, retention, performance management, and team health. Partners with Product and cross-functional stakeholders to align engineering work with business goals, resolve delivery blockers, improve processes and tooling, and manage major technical decisions. Requires hands-on experience with demanding architectures and the ability to work across React, Python, AWS, and MongoDB technology stacks.

Build and ship end-to-end product features across an author analytics dashboard, marketing site, free tools, billing, email, and AI-assisted functionality. Design data models and APIs, integrate third-party services, develop production LLM features, and maintain testing, monitoring, performance, and observability. The role includes code review, technical documentation, independent product decisions, and close collaboration with the founder in a remote-first environment.

Architect, build, and maintain scalable full‑stack applications using React, TypeScript, Node.js, and AWS. Own features end-to-end, optimize performance and usability, collaborate with founders, and use AI tools to accelerate development in a fast-paced startup.

Build and maintain cloud-native microservices, APIs, event-driven workflows, and serverless applications using TypeScript and AWS. Integrate new services with legacy WordPress and PHP systems, support platform modernization, write specifications and automated tests, troubleshoot production issues, and improve infrastructure, observability, and reliability. Collaborate remotely with product, design, QA, and engineering teams while participating in code reviews and on-call support.

Design, build, test, and maintain cloud-native microservices, APIs, and event-driven workflows using TypeScript, Node.js, and AWS serverless technologies. Integrate modern services with legacy WordPress and PHP systems, develop secure and scalable APIs, troubleshoot production issues, write automated tests, and contribute to infrastructure as code, observability, documentation, code reviews, and on-call support.

Design, build, and maintain scalable backend services and infrastructure for Roadie’s logistics platform. Identify performance bottlenecks, improve reliability, collaborate with Product, Data Science, and engineering teams, contribute to code reviews and technical practices, and own projects from concept through production.

Build and optimize high-throughput Java backend systems processing hundreds of millions of contact profiles. Design scalable solutions for entity resolution, data quality, attribute selection, and contact publication. Develop testing frameworks and rules for fragmented data, collaborate with data scientists and engineering teams, and contribute to architecture, performance, scalability, and technical strategy across the Person Data platform.