Senior Software Engineer

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 largeu2011scale 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 AIu2019s output before submitting final implementations. A significant part of the role involves working with highu2011rate telemetry data pipelinesu2014supporting thousands of devices sending frequent datau2014and ensuring reliable, lowu2011latency 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 humanu2011inu2011theu2011loop 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 learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements 7+ years of professional software engineering experience (no juniors). Bacheloru2019s degree in Software Engineering, Computer Science, Computer Engineering, or equivalent. Deep handsu2011on edge device development experience Strong experience with industrial IoT systems and Microsoft Azure IoT services (device-side focus). Demonstrated ability to design and optimize realu2011time telemetry pipelines capable of ingesting and processing highu2011volume, highu2011frequency 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 highu2011rate telemetry (oil & gas, grid services, large cloud telemetry systems). Familiarity with large-scale device deployments (10,000+ devices) u2014 ideal but not expected. Deeper-level expertise in industrial protocols.

Created: 2026-02-05