istaridigital.ai - Sr. Platform Engineer (Integrations Platform)

• Lead the design and delivery of major features and projects within the Integrations Platform — SDKs, agents, job pipelines, and related services — carrying them from inception through customer production. • Drive the evolution of the integration authoring experience, including AI-enabled workflows that scale how integrations are built and maintained. • Champion reliability, scalability, and observability practices across the agent ecosystem and integrations lifecycle, and hold the features you build to that bar. • Build developer tooling, packages, and libraries that reduce friction and accelerate integration development and adoption. • Partner with product, platform, and customer success teams to translate customer needs into concrete technical designs for the features and projects you lead. • Provide technical leadership and mentorship — raise the engineering bar 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. • 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 — you've made the tradeoffs and lived with the consequences. • Strong coding ability across backend services, SDKs, developer tooling, and agent-based systems. Specific language experience isn't crucial — our stack is primarily Python, with a growing share in Go, key components in Java and C#, and a TypeScript/React front end. • Experience working on edge platforms — Windows especially, plus Linux (desktop and server) and macOS — including low-level platform and administrative considerations (permissions, services/daemons, packaging, filesystem quirks) unique to each OS. • Experience working with multiple orchestration models for distributed systems (e.g., DAG-based schedulers, event-driven pipelines, actor systems, queue-based task workers) would be ideal. • Hands-on familiarity with AI-assisted development or agentic workflow systems. • Strong grounding in system reliability, security, and performance optimization for developer-facing platforms. • A track record of technical leadership and mentorship — you've grown engineers and shaped practices within your team, not just shipped code. • Excellent communication skills, with the ability to influence technical decisions across the teams you work with. • 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.