Top Remote Software Engineer Jobs in Pittsburgh, PA

Own Salesforce Marketing Cloud technical development, including data extensions, SQL segmentation, journeys, automations, APIs, integrations, personalization, QA, governance, compliance, reporting, and data quality. Maintain Marketing Cloud Connect and Knak integrations, protect healthcare-related data, manage consent workflows, and ensure accurate data flows across Salesforce and reporting platforms. Partner closely with Lifecycle Marketing and Marketing Analytics teams across multiple brands and business units.

Design and maintain scalable services, APIs, distributed systems, and data pipelines for AI training data infrastructure. Own systems through design, implementation, testing, deployment, and monitoring. Lead architectural decisions, improve reliability and scalability, mentor engineers, and collaborate with AI/ML, product, and data operations teams. Contribute to CI/CD, containerization, DevOps, and cloud deployment practices.

Leads the Data Platform and Infrastructure team, owning strategy, architecture, execution, and organizational development. Responsibilities include managing and mentoring engineers, guiding data ingestion and platform design, establishing APIs, SLAs, governance, security, monitoring, disaster recovery, and cost optimization. The role partners with Product, Data, Finance, Security, and Analytics teams to enable reporting, experimentation, machine learning, and data products while scaling reliable infrastructure and developing future technical leaders.

Staff Software Engineer leading architecture, hands-on development, and delivery of reliable frontend, backend, API, data, and production systems across multiple teams. The role drives multi-quarter initiatives, AI-enabled engineering practices, system scalability, security, observability, incident response, technical standards, mentorship, and alignment between technical investments and product outcomes.

Own and enhance the native iOS application by building polished, performant user interfaces, architecting scalable and maintainable code, writing unit and functional tests, resolving production issues, and improving existing systems. Collaborate closely with Design and Product teams to develop features, refine processes, and contribute to product decisions and technical improvements.

Support building and redesigning responsive, mobile-friendly websites; create wireframes and sitemaps; develop front-end UIs and assist with back-end tasks; optimize for performance, scalability, and SEO; participate in brainstorming, debugging, testing, and follow clean coding and version-control best practices under developer mentorship.

Leads architecture, development, customization, integration, and implementation of SAP Commerce Cloud solutions. Creates technical specifications and data models, conducts code reviews, leads Scrum sessions, estimates work, configures data imports, and ensures timely delivery. Collaborates with clients, solution architects, project managers, and developers while mentoring junior team members and serving as an SAP Commerce Cloud technical authority.

Develop and maintain scalable native Android applications using Kotlin, focusing on performance, usability, architecture, testing, and code quality. Collaborate with product, design, and backend teams; troubleshoot complex issues; maintain CI/CD workflows; document systems; lead technical initiatives; mentor junior engineers; and contribute to feature planning and estimation.

Lead the architecture, development, operation, and evolution of TetraScience’s multi-tenant Tetra Apps platform. Design containerized application runtimes, routing, identity, security, observability, deployment, and developer tooling. Guide sprint and quarterly planning, write architecture decisions, support production customers, and mentor engineers through technical leadership. Remain hands-on across TypeScript, Node.js, React, Python, AWS, infrastructure-as-code, and CI/CD while safely improving a live platform.

Leads and develops a cross-functional software engineering team delivering and operating an enterprise AI platform. Responsibilities include coaching engineers, improving software development, testing, DevOps, support, reliability, observability, and delivery practices; partnering with product, architecture, AI, and business leaders; hiring and developing talent; and occasionally contributing hands-on to coding, debugging, automation, technical spikes, and code reviews.