Drimva

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Platform Architect

Pittsburgh, PA +1 · Full-time · Posted Aug 5, 2026

Location
Pittsburgh, PA
Pittsburgh, Pennsylvania, United States
Experience
8–10+ years of software engineering experience designing distributed systems, cloud-native platforms, and scalable enterprise software.
Education
Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field required; Master’s degree in one of these fields preferred.
Visa sponsorship
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.

About the job

Leads the architecture and evolution of shared enterprise platform capabilities, enabling engineering teams to build secure, scalable, and reliable software.

What you'll do

  • Define platform architecture, technical standards, strategy, and roadmaps with cross-functional partners.
  • Design reusable services, APIs, event-driven integrations, developer tools, and reference designs.
  • Mentor engineers and architects, guide modernization and architecture decisions, and evaluate emerging technologies, including AI capabilities.

What they ask for

  • Architecture expertise across microservices, APIs, event-driven design, cloud infrastructure, Kubernetes, CI/CD, data platforms, and observability.
  • Hands-on experience with AWS, Azure, or Google Cloud and a modern programming language such as Java, C#, Python, Go, or TypeScript.
  • Knowledge of application security, identity, authentication, authorization, and secure design practices.
  • Bachelor’s degree in a related field is required.

Nice to have

  • Master’s degree in a related field.
  • Experience in healthcare technology, interoperability, SaaS, event streaming, service mesh, observability, enterprise data platforms, AI-enabled platforms, or architecture governance and modernization.

Tools

microservices, APIs, Kubernetes, CI/CD, AWS, Azure, Google Cloud, Java

AI focus

Evaluate AI capabilities and AI-assisted engineering tools for platform improvements; designing AI-enabled platforms or integrating LLM-based capabilities is preferred.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)