Top Software Engineer Jobs in Pittsburgh, PA

Develop and maintain scalable backend applications using Node.js, JavaScript, and TypeScript. Build RESTful APIs, integrate databases and external services, optimize performance, implement authentication and security, write tests, troubleshoot issues, support deployments, and collaborate with frontend, product, and engineering teams.

Develop and maintain scalable, responsive web applications using JavaScript, TypeScript, React.js, HTML, and CSS. Build reusable UI components, integrate REST APIs and backend services, troubleshoot bugs and performance issues, participate in code reviews, and contribute to architecture and technical improvements. Collaborate with designers, backend developers, QA engineers, and product teams in a fully remote environment.

Designs scalable frontend architectures and high-performing React applications using JavaScript and TypeScript. Defines coding standards, reusable components, testing strategies, and technical documentation. Builds accessible interfaces, integrates REST APIs, evaluates frameworks, develops proofs of concept, and optimizes performance and security. Collaborates with product and engineering teams, reviews code, guides developers, and aligns technical solutions with business goals.

Build and maintain end-to-end applications using React, Golang, and Node.js. Leverage AI development tools to improve speed and quality, collaborate with product and design, contribute to deployment and DevOps, and own features from concept through release. The role requires proactive problem-solving, rapid learning, scalable system design, and a strong builder’s mindset in a fast-paced energy and logistics technology environment.

Develop and support Salesforce Service Cloud and enterprise integrations using Apex, LWC, Flows, APIs, and platform events. Lead complex technical implementations, testing, deployments, production issue resolution, and SDLC activities in an Agile environment. Collaborate with cross-functional stakeholders, ensure Salesforce best practices and security, mentor junior developers, document standards, and improve operational efficiency through automation and AI-enabled capabilities.

Leads architecture, development, and deployment of scalable cloud-native backend platforms integrating AI, LLMs, agentic workflows, and Salesforce. Designs distributed services, APIs, data migration pipelines, and enterprise integrations while driving observability, resilience, security, and performance. Provides technical leadership, mentors engineers, influences architecture, and collaborates with product, business, and AI/ML teams to deliver highly available enterprise systems.

Leads the design, implementation, integration, and optimization of global enterprise Finance solutions. Responsibilities include ERP solution leadership, Finance process transformation, system integration, data migration, reconciliation, testing, quality governance, deployment readiness, and post-production stabilization. The role also identifies AI automation opportunities and develops governed AI-enabled solutions across ERP, data, API, and workflow platforms while advising Finance, Product, Architecture, and Engineering stakeholders.

Design, develop, deploy, and support enterprise integrations for tolling systems using C#, .NET, Azure, SAP, CRM, IVR, APIs, middleware, and external platforms. Build secure REST APIs, microservices, Azure Functions, and Service Bus solutions; optimize high-volume data flows and IVR experiences; integrate payment, traffic management, and backend systems; document technical solutions, testing, impacts, and standards compliance.

Design, build, operate, and support backend services powering an enterprise AI platform. Responsibilities include developing APIs, gateways, orchestration, tenancy, entitlements, integrations, data access patterns, and platform services. The engineer owns services across architecture, implementation, testing, deployment, monitoring, reliability, and support while addressing distributed-system concerns such as failure handling, consistency, idempotency, retries, and back-pressure.

Designs, builds, deploys, monitors, and supports backend and platform services powering an enterprise AI platform. Responsibilities include developing APIs, orchestration, entitlements, tenancy, data access, integrations, metering, quotas, and reliability patterns. The engineer owns services end to end and applies distributed-systems principles involving failure handling, consistency, idempotency, retries, and back-pressure while collaborating with product teams, customers, and client stakeholders.

Designs, builds, deploys, monitors, and supports backend services powering an enterprise AI platform. Responsibilities include AI gateway and orchestration services, APIs, tenancy and entitlements, integration frameworks, governed data access, reliability, and distributed-systems operations. The role owns services end to end and collaborates with product teams and customers in a consulting environment.

Design, develop, deploy, and operate cloud-scale Azure regional networking infrastructure spanning router hardware, operating systems, optical transceivers, and distributed orchestration systems. Lead architecture and cross-team technical initiatives, write maintainable code, improve reliability, observability, performance, and automation, apply AI-driven engineering practices, and mentor engineers while collaborating with hardware, supply chain, datacenter operations, research, vendors, and senior leaders.

Design, build, test, deploy, and operate cloud-native applications, distributed services, data platforms, APIs, and AI-powered experiences. Develop frontend and backend solutions, data pipelines, analytics frameworks, and intelligent workflows using Azure and modern engineering practices. Own technical designs, modernization, observability, security, compliance, incident response, and operational reliability. Collaborate cross-functionally, mentor engineers, and contribute to architecture, code reviews, automation, and continuous improvement.

Build and operate production-grade software, APIs, workflows, and user experiences for Microsoft’s cloud datacenter inventory and asset management platforms. Responsibilities include translating ambiguous operational needs into technical solutions, applying AI-native engineering practices, improving automation, ensuring reliability and security, and owning features through design, implementation, deployment, monitoring, and continuous improvement. The role collaborates with product, program, datacenter operations, supply-chain, and engineering teams.

Design, develop, test, deploy, maintain, and improve secure software applications, services, interfaces, and automation components. Integrate systems with databases, APIs, identity services, and third-party products. Troubleshoot defects and production incidents, support testing and security reviews, document architecture and deployments, and contribute to release and change-control activities. Collaborate with users, analysts, engineers, project managers, and technical teams while providing status reports, estimates, recommendations, and occasional technical guidance.

Administer, secure, monitor, optimize, and upgrade production database environments. Manage users, roles, access controls, data models, and database documentation. Test changes, troubleshoot errors, monitor performance and capacity, recommend configuration improvements, and coordinate implementations. Develop database standards and safeguards for sensitive information while providing technical guidance and training to users, junior staff, programmers, and analysts.

Designs, develops, tests, deploys, and maintains websites and web applications. Translates business needs into technical requirements, prototypes, data models, integrations, and configurations. Ensures accessibility, security, performance, compatibility, monitoring, backups, and recovery. Coordinates with designers, users, network teams, hosting providers, and management to resolve issues and recommend web architecture and technology solutions.

Build and maintain a full-stack sewer inspection analysis platform using React, TypeScript, Node.js, PostgreSQL/PostGIS, AWS, computer vision, geospatial analysis, and Temporal.io. Responsibilities include developing interactive dashboards, scalable APIs, video-processing workflows, mapping and risk-assessment tools, microservices, cloud infrastructure, and automated testing and deployment pipelines.

Build and optimize technical infrastructure supporting customer operations, trust and safety, and sales workflows. Develop system integrations, automated workflows, internal support tools, AI-powered customer service solutions, dashboards, and reporting systems. Identify operational bottlenecks, improve processes, and collaborate with product, engineering, operations, customer success, and trust and safety teams to scale efficiently.

Build and maintain Life360’s iOS advertising SDK, mediation and header-bidding integrations, ad formats, privacy and consent flows, instrumentation, and experimentation systems. Improve ad quality, performance, and reliability at large scale while collaborating with ad operations, data, product, and external partners. Use AI-native workflows with agentic coding tools, contribute to architecture and incident response, and mentor teammates.