Top Software Engineer Jobs in Pittsburgh, PA

Develop chromatography data-processing algorithms for cloud-based Empower data systems and collaboration software. Responsibilities include implementing peak integration, calibration, and quantitation algorithms; migrating legacy C++ to .NET Core/C#; applying numerical methods and AI/ML; optimizing performance through parallelism; writing unit tests; refining requirements with stakeholders; and preparing technical reports, patents, and project updates.

Leads Oura’s Women’s Health software engineering organization, overseeing managers and technical leaders while partnering across Product, Design, Science, Clinical, Regulatory, and Data Science. Drives high-impact consumer software delivery, organizational transformation, engineering strategy, talent development, and AI-native development workflows. The role requires strong technical and product judgment across architecture, data, quality, reliability, privacy, and speed, with responsibility for building a high-performing organization and trusted health experiences.

Own the frontend codebase as the initial frontend engineer, building and shipping React and TypeScript features for a complex WealthTech platform. Lead frontend architecture, testing, performance, accessibility, design systems, code review, and release practices. Collaborate with the CTO, CEO, and product delivery team to make financial planning workflows usable, improve the existing application without a rewrite, and lead it to general release. Help grow the frontend team over time.

Leads software engineering strategy, architecture, technical project delivery, and development team management. Designs scalable cloud-native solutions, contributes hands-on to software development and code reviews, and promotes generative AI, DevOps, CI/CD, automated testing, and agile practices. Oversees .NET, C#, SQL Server, API, microservices, and AWS or Azure technologies while aligning technical initiatives with corporate growth objectives and communicating with executives and business stakeholders.

Develop and deploy Adobe Experience Cloud solutions, primarily Adobe Launch, Analytics, and Target, for enterprise clients. Responsibilities include requirements analysis, technical specification development, JavaScript and media-tag implementation, QA/UAT testing, solution design, effort estimation, client collaboration, mentoring, and supporting business development. The role requires managing multiple projects while delivering high-quality implementations within Agile development processes.

Design, build, and own production-grade platform subsystems for Stacklok Enterprise, writing Go software that runs on customer Kubernetes environments. Collaborate with leadership, mentor engineers, support customer onboarding and troubleshooting, contribute to the open-source ToolHive project, and translate customer feedback into product improvements. The role also involves improving engineering workflows through AI-assisted development and owning platform areas from design through ongoing production operations.

Design, develop, test, deploy, integrate, and maintain scalable Salesforce solutions using Apex, Lightning Web Components, Visualforce, Flow, and OmniStudio. Collaborate with stakeholders and cross-functional teams, conduct code reviews, troubleshoot applications, support integrations, and provide technical mentorship. The role requires Salesforce certifications, extensive Salesforce development experience, U.S. citizenship, and eligibility to obtain and maintain a Public Trust clearance.

Build custom n8n flows, API integrations, webhooks, and middleware to implement complex, code-level onboarding and orchestration for enterprise SaaS clients. Scope projects with sales, own end-to-end technical onboarding, QA, monitoring, and feed recurring needs back to Product. Act as a client-facing technical consultant, including onsite visits, and create reusable integration patterns.

Design and own backend infrastructure for a privacy-first AI memory platform. Responsibilities include multi-tier memory storage, secure multi-tenant isolation, real-time APIs, caching, LLM integrations, retrieval systems, synchronization, monitoring, deployment pipelines, and production reliability. The role requires close collaboration with ML engineering and product teams while owning architecture, infrastructure, testing, security, and operational troubleshooting.

Supports software engineering teams through coding, debugging, technical documentation, automated testing, and software component development. Translates user stories and requirements into tested implementations while participating in Agile design, planning, testing, and deployment activities. Collaborates with engineers, test engineers, business partners, and leaders in a remote, cross-functional environment.