Job Description This individual's day-to-day work centers around designing, reviewing, and refining detailed markdown-based specifications that define how the edge device software should behave in a large‑scale data center environment. They will break those specifications into tasks, architecture components, and test plans, then use AI-assisted tools to generate initial code, ensuring they fully understand, validate, and correct the AI’s output before submitting final implementations. A significant part of the role involves working with high‑rate telemetry data pipelines—supporting thousands of devices sending frequent data—and ensuring reliable, low‑latency processing for both monitoring and 60 Hz control-level interactions with physical equipment. They will collaborate closely with other engineers across Santa Clara and remote teams to align frameworks, caching strategies, system behaviors, and integration points. Daily responsibilities include conducting thorough code reviews, troubleshooting complex issues on edge hardware, and ensuring everything built conforms to established human‑in‑the‑loop safety workflows. Additionally, they will help refine architectural decisions as remaining system components are defined, contribute to sprint planning, and support rapid development toward upcoming demos. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 7+ years of professional software engineering experience (no juniors). Bachelor’s degree in Software Engineering, Computer Science, Computer Engineering, or equivalent. Deep hands‑on edge device development experience Strong experience with industrial IoT systems and Microsoft Azure IoT services (device-side focus). Demonstrated ability to design and optimize real‑time telemetry pipelines capable of ingesting and processing high‑volume, high‑frequency data with low latency and high throughput. Strong experience building software for industrial IoT, embedded systems, and device-focused architectures. Strong debugging and performance tuning capabilities in distributed or device-level systems. Spec-Driven & AI- Assisted Development: Ability to write, review, and refine spec-driven documentation (markdown). Ability to translate specifications into architecture frameworks, components, tasks, and test plans. Comfortable using AI-assisted code generation and performing thorough reviews and corrections to AI-generated code. Ability to validate, understand, and ensure quality of AI-produced outputs. Strong capability conducting detailed code reviews for quality and architectural alignment. Prior experience in IoT, embedded systems, or edge computing companies or in industries with high‑rate telemetry (oil & gas, grid services, large cloud telemetry systems). Familiarity with large-scale device deployments (10,000+ devices) — ideal but not expected. Deeper-level expertise in industrial protocols.