Lead DevOps Engineer – AI, GPU

🔥 1 minute ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Zimperium

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

📦 Logistics

🔒 Cybersecurity

💰 $12M Venture Round on 2018-11

Consulting • Logistics • Cybersecurity

Zimperium is a leading company in the mobile security industry, specializing in mobile endpoint and application security. They provide advanced solutions to protect mobile devices and applications, allowing enterprises to secure their mobile endpoints and enable safe access to sensitive data and systems. Zimperium's platforms integrate with various environments, including cloud, on-premises, and air-gapped setups, ensuring continuous and persistent security during development and runtime. The company is recognized for its unique focus on mobile security, offering tools that help prevent data loss, fraud, and regulatory breaches in mobile apps.

📋 Description

• Build and operate CI/CD/CV pipelines for AI services, agents, and runtime components, including automated build, test, continuous verification, release, and rollback • Own governance and discovery for AI assets, including service registries, experiment tracking, model metadata, upstream registries, CVE/SBOM scanning, lineage contracts, and license management • Own resource and cost management, including quotas, rate limits, cost attribution, and utilization • Own the observability stack covering metrics, logs, traces, dashboards, LLM debugging/evaluation, and SLA/alert notifications • Own the OpenTelemetry collection layer, including multi-tenant receivers, exporters, queues, GPU telemetry, batching, and dynamic filtering • Automate GitOps-based delivery and continuous verification with quality, integrity, and cost gates • Use telemetry, evaluation, and cost signals to drive deployment decisions, progressive rollout, and automated rollback • Ensure cost and telemetry are identity-stamped and attributable per tenant end-to-end

🎯 Requirements

• Strong DevOps expertise in CI/CD/CV pipeline design, GitOps, continuous verification, and progressive/automated release and rollback for production workloads • Deep expertise operating model-serving and inference systems (Ray, vLLM/Triton/NIM) on GPUs at production scale • Deep observability skills in metrics, logs, traces, and OpenTelemetry • Ability to attribute, bound, and optimize AI consumption cost per tenant and workload • Familiarity with model/artifact governance, registries, CVE scanning, and license/lineage tracking • Experience operating across cloud, on-prem, edge, and air-gapped environments • Bachelor’s or Master’s degree in Computer Science or related technical field • 8+ years in DevOps, MLOps, platform, or observability engineering, with hands-on production ownership of AI or high-throughput services • Hands-on experience with ArgoCD, Helm, GitHub Actions/GitLab CI, or equivalents • Hands-on expertise with Ray Serve, vLLM, Triton, or NIM on GPU infrastructure • Experience with Prometheus, Grafana, Loki, Tempo/Jaeger, and OpenTelemetry • Experience with API gateways and request routing such as Envoy, including streaming responses • Experience with OpenCost, Kubecost, or equivalent, and quota/rate-limit enforcement • Familiarity with Harbor, MLflow, Trivy/SBOM, and supply-chain scanning • Experience operating AI or service infrastructure under compliance, security, or regulatory constraints • Ability to define ownership boundaries and consumption contracts with platform, trust, and data teams