{"id":3236053,"url":"https://alion.io/job/zesty-senior-gpu-platform-engineer","title":"Senior GPU Platform Engineer","company":{"id":49233,"name":"Zesty","domain":"zesty.co","url":"https://alion.io/company/zesty-co","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tel Aviv, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":95000,"max_usd":250000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"FinOps","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false}],"status":"live","first_seen_at":"2026-10-25T09:16:14Z","employer_posted_date":"2026-10-25","last_verified_at":"2026-10-30T15:05:00Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Description\nAbout Zesty\nCloud teams should not have to choose between cost efficiency, performance, and control. At Zesty, we build automation that helps DevOps and FinOps teams optimize Kubernetes and cloud commitments continuously, within the guardrails they define.\nWe are a curious, practical team that likes solving hard problems together. You will have room to take ownership, share ideas openly, and see your work make a real difference for customers.\nPosition Overview\nGPU workloads introduce complex challenges around utilization, allocation, reliability, and cost. We are looking for a Senior GPU Platform Engineer with hands-on DevOps/Platform and GPU optimization experience to build product capabilities that solve these challenges. You will join an R&D team and turn real-world infrastructure insight into production software.\nRequirements\nWhat you'll own\nDesign and deliver GPU optimization capabilities, including improved GPU utilization, intelligent resource allocation, workload scheduling, and cost efficiency.\nTake ownership of complex features end-to-end - from technical design through production delivery.\nTranslate real-world GPU infrastructure challenges into practical software solutions.\nCollaborate with R&D and product stakeholders to deliver reliable, high-impact product capabilities.\nWrite clean, maintainable production code, leveraging AI-powered development tools to accelerate delivery, improve code quality, and streamline code reviews.\nWhat will help you succeed\nMore than 5 years of hands-on DevOps or Platform Engineering experience.\nProven production experience optimizing GPU infrastructure or GPU workloads.\nStrong Kubernetes experience and demonstrated ability to write production-quality code.\nEvidence of measurable improvements in GPU utilization, performance, scheduling, allocation, capacity, reliability or cost efficiency.\nIt’s a plus if\nExperience with NVIDIA GPU Operator, DCGM, MIG, GPU sharing or time-slicing.\nExperience developing Kubernetes operators, controllers or scheduling-related components.\nExperience with GPU FinOps practices, including cost visibility, chargeback/showback, right-sizing or capacity planning.\nWhy this role matters\nThis is an opportunity to move from operating GPU infrastructure to building the product capabilities that solve those problems. The role has direct influence on how Zesty helps teams run GPU workloads more efficiently, reliably and cost-effectively. You will work on challenging cloud-native problems within an R&D team that values ownership.\nA note on how we work -\nWe move fast, take ownership, and solve hard problems together. 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