Lead Engineer, Cloud Operations

Условия

• Company is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Company delivers real-time predictive intelligence and agentic decision-making at industrial scale.
• Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives.
• Learn more at: Company.com
• We are hiring a Lead Engineer, Cloud Operations to own how the Company platform runs in production. Our applications (Asset Performance Management, Supply Chain, Global Trade Management and Machine Vision) and the shared data, model and intelligence layers underneath them run across GCP, AWS and Azure, in customer-managed Kubernetes clusters, and on edge deployments at remote and air-gapped sites. You will lead the team responsible for reliability, security, cost and deployment across all of these environments. This is a hands-on role. You will design infrastructure, write automation, share on-call with your team, and set the operating standards the rest of engineering follows. Responsibilities: Platform Reliability and Operations - Own uptime, performance and incident response for our SaaS environments and customer-hosted deployments - Define SLOs, monitoring and alerting across application services, data pipelines and model serving - Run incident management and blameless postmortems, and drive fixes to closure - Build runbooks and on-call practices that let the team support customers across time zones Infrastructure and Automation - Design and manage multi-cloud infrastructure on GCP, AWS and Azure using infrastructure as code - Run and scale Kubernetes (GKE, EKS, AKS) for application services, data pipelines and GPU inference workloads - Own CI/CD and release processes so teams can ship safely and often, including to single-tenant and on-premise customer environments - Sup
• - Bachelor's degree in Computer Science, Engineering or a related field, or equivalent experience - 8+ years in cloud infrastructure, SRE or DevOps roles, including 3+ years leading engineers - Deep hands-on experience with at least two of GCP, AWS and Azure - Production experience running Kubernetes at scale, including Helm and container tooling - Strong infrastructure as code skills with Terraform or similar - Experience building CI/CD pipelines and release automation (GitHub Actions, Bitbucket Pipelines, Argo CD or similar) - Experience with observability tooling such as Prometheus, Grafana, Datadog or the ELK stack - Scripting and automation in Python, Go or Bash - Working knowledge of cloud security, IAM and network design; experience with SOC 2, ISO 27001, FedRAMP or similar programs is a plus - Experience supporting on-premise, hybrid or air-gapped deployments is a strong plus - Experience operating data platforms (Elasticsearch, PostgreSQL, streaming) or GPU and ML workloads is a plus - Clear communicator who stays calm during incidents
• Salary Range: l$160,000-$220,000