Platform Engineer – Integrations Platform
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Job Description
Platform Engineer building SDKs, agents, and workflows for a digital engineering integrations platform. Leading scalable, reliable tooling from architecture through customer production.
Responsibilities:
- Lead the design and delivery of major Integrations Platform features and projects, including SDKs, agents, job pipelines, and related services, from inception through customer production
- Drive the evolution of the integration authoring experience, including AI-enabled workflows
- Champion reliability, scalability, and observability across the agent ecosystem and integrations lifecycle
- Build developer tooling, packages, and libraries to reduce friction and accelerate integration development and adoption
- Partner with product, platform, and customer success teams to translate customer needs into technical designs
- Provide technical leadership and mentorship through design reviews, architecture input, and hands-on guidance
- Lead cross-functional initiatives spanning workflow orchestration, service scaling, and job orchestration
- Evaluate and introduce emerging technologies and frameworks for integration authoring, automation, and platform capabilities
- Coordinate across the full stack, from deployment infrastructure and server code to SDKs, agents, and modules across operating systems and deployment targets
Requirements:
- 7+ years of professional software engineering experience, including significant time designing and scaling distributed systems, developer platforms, or integrations frameworks
- Demonstrated experience owning the architecture of significant features or subsystems end-to-end
- Strong coding ability across backend services, SDKs, developer tooling, and agent-based systems
- Experience with Python, Go, Java, C#, and TypeScript/React technologies
- Experience working on edge platforms, especially Windows, plus Linux desktop/server and macOS
- Knowledge of OS-specific permissions, services/daemons, packaging, and filesystem considerations
- Experience with distributed-systems orchestration models such as DAG-based schedulers, event-driven pipelines, actor systems, or queue-based task workers
- Hands-on familiarity with AI-assisted development or agentic workflow systems
- Strong grounding in system reliability, security, and performance optimization for developer-facing platforms
- Track record of technical leadership and mentorship
- Excellent communication skills and ability to influence technical decisions across teams
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience
- Must be a US citizen or permanent resident living within the United States
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