AiDASH, Inc.
enterprise AI
SDE-IIIDevops
Neural analysis suggests this role is
optimal for Senior candidates.
“SDE - III Devops at AiDASH, Inc.. Skills: DevOps, infrastructure engineering, cloud computing, Kubernetes. Own scalable, secure infrastructure. Architect and maintain CI/CD pipelines”
What You'll Achieve.
keeping platform availability at our committed SLO targets
Industry & Context.
AI-assisted failure triage; debug a stuck pod; reason about cost; log triage; alert summarisation
follow-the-sun on-call rotation
What They're Looking For.
Must Have
6+ years in DevOps, infrastructure engineering, or SRE, proven ownership of production systems at meaningful scale, Deep experience with at least one major cloud (AWS, Azure, or GCP), working grasp of what the others do differently, infrastructure-as-code (Terraform or equivalent), CI/CD pipeline experience (Jenkins, GitLab CI, GitHub Actions, or similar), Production Kubernetes, scripting in Python, Bash, or equivalent, Hands-on with at least one observability stack (Prometheus, Grafana, ELK, or equivalent), able to define meaningful SLOs, Shipped real work using AI coding assistants, Built or extended at least one internal tool using LLM APIs, Comfortable in a fast-moving, engineering-driven environment, good at influencing without authority
Nice to Have
Production experience with ML infrastructure, model serving (Triton, KServe, TorchServe, or similar), GPU workload management, feature stores, data-pipeline orchestration (Airflow, Argo, or equivalent), Familiarity with compliance frameworks relevant to critical infrastructure (SOC 2, ISO 27001, NERC, or similar), Certifications such as AWS DevOps Engineer, CKA / CKAD, or equivalent, Experience with serverless platforms (Lambda, Cloud Functions, etc.), Exposure to managing and tuning production databases (PostgreSQL, MySQL, or NoSQL)
What You'll Do.
secure infrastructure
Architect and maintain CI/CD pipelines
Lead container orchestration on Kubernetes
Own observability standards
Implement automation using Terraform
Define and harden security practices
Establish disaster-recovery strategies
Build or extend internal tooling using LLMs
Participate in on-call rotation
Raise the bar on engineering standards
How You'll Work.
Team & Collaboration
work closely with developers; QA; security; product teams; partnership with the DevSecOps function; global DevOps team
Full Job Description
About AiDASH AiDASH is an enterprise AI company and the leading provider of vegetation risk intelligence for electric utilities. Powered by proprietary VegetationAI™ technology, AiDASH delivers a unified remote grid inspection and monitoring platform that uses a SatelliteFirst approach to identify and address vegetation and other threats to the grid. With a prevention-first strategy to mitigate wildfire risk and minimize storm impacts, AiDASH helps more than 140 utilities reduce costs, improve reliability, and lower liability across their networks. AiDASH exists to safeguard critical utility infrastructure and secure the future of humanAIty™. Learn more at www.aidash.com. We are a Series C growth company backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others. We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.” We are also proud to be one of the few software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. Deloitte Technology Fast 500™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024. Join us in Securing Tomorrow! The role We are looking for a SDE-III DevOps who takes end-to-end ownership of the infrastructure that runs our satellite-imagery and ML-inference platform. This is a senior, hands-on individual-contributor role — you will set the bar across the DevOps function, influence technical direction, and lead by example, without managing a team. What sets this role apart at AiDASH is what runs on the infrastructure: a globally deployed platform that ingests [petabytes of satellite imagery], runs [millions of inference requests per day] across CPU and GPU fleets, and serves utilities, transportation, and construction customers on tight SLOs. You will build the systems that underpin that — and you will do i
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