Infrastructure Engineer

• Lead the investigation and resolution of complex infrastructure, networking, and platform-related incidents.
• Act as a senior escalation point for operational teams during critical service-impacting events.
• Support large-scale NVIDIA GPU infrastructure and high-performance networking environments.
• Troubleshoot complex Linux, Kubernetes, networking, storage, and hardware-related issues.
• Analyze platform performance, capacity, stability, and reliability trends to proactively identify risks.
• Lead root cause analysis activities and drive long-term corrective actions.
• Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve complex technical challenges.
• Participate in major incident management and service restoration activities.
• Provide technical leadership for Kubernetes platform operations and supporting infrastructure services.
• Drive improvements in platform reliability, observability, monitoring, and operational processes.
• Identify opportunities to automate repetitive operational activities and improve operational efficiency.
• Contribute to operational readiness reviews, infrastructure changes, upgrades, and service introductions.
• Support the adoption and operation of AI-powered infrastructure services and operational capabilities through k0rdent AI.
• Evaluate emerging technologies and operational practices to improve service delivery and platform resilience.
• Mentor and support AI Infrastructure & Platform Operations Engineers.
• Share technical knowledge through documentation, training sessions, and operational reviews.
• Develop and maintain operational standards, runbooks, troubleshooting guides, and best practices.
• Help define operational processes, escalation paths, and service reliability standards.
• Act as a trusted technical advisor during operational planning and service improvement initiatives.

Senior AI Infrastructure, Platform Operations Engineer

• Lead the investigation and resolution of complex infrastructure, networking, and platform-related incidents.
• Act as a senior escalation point for operational teams during critical service-impacting events.
• Support large-scale NVIDIA GPU infrastructure and high-performance networking environments.
• Troubleshoot complex Linux, Kubernetes, networking, storage, and hardware-related issues.
• Analyze platform performance, capacity, stability, and reliability trends to proactively identify risks.
• Lead root cause analysis activities and drive long-term corrective actions.
• Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve complex technical challenges.
• Participate in major incident management and service restoration activities.
• Drive improvements in platform reliability, observability, monitoring, and operational processes.
• Identify opportunities to automate repetitive operational activities and improve operational efficiency.
• Contribute to operational readiness reviews, infrastructure changes, upgrades, and service introductions.
• Support the adoption and operation of AI-powered infrastructure services and operational capabilities through k0rdent AI.
• Evaluate emerging technologies and operational practices to improve service delivery and platform resilience.
• Mentor and support AI Infrastructure & Platform Operations Engineers.
• Share technical knowledge through documentation, training sessions, and operational reviews.
• Develop and maintain operational standards, runbooks, troubleshooting guides, and best practices.
• Help define operational processes, escalation paths, and service reliability standards.
• Act as a trusted technical advisor during operational planning and service improvement initiatives.

• Infrastructure API Design: Design, build, and maintain the versioned REST and gRPC APIs for bare-metal server lifecycle, MachineType definitions, and cluster CRUD operations.
• Provisioning & Workflow Development: Develop the asynchronous workflows that drive server enrollment, inspection, OS provisioning, and cluster bring-up, exposing durable status to callers.
• Full-Stack Implementation: Implement and maintain the consoles and interfaces that visualize hardware inventory, provisioning progress, and cluster health.
• System Reliability: Design the error-handling models, idempotency guarantees, and reconciliation loops necessary to manage long-running provisioning operations reliably.

Full-Stack Software Engineer – Infrastructure

• Monitor, operate, and support production AI infrastructure platforms.
• Investigate and resolve infrastructure, networking, hardware, and platform-related incidents.
• Support NVIDIA GPU infrastructure and associated platform services.
• Monitor and troubleshoot Kubernetes-based environments.
• Investigate performance, availability, and reliability issues across infrastructure and platform components.
• Collaborate with engineering teams, hardware vendors, datacenter personnel, and service delivery teams to resolve technical issues.
• Participate in incident response, root cause analysis, and operational improvement activities.
• Contribute to improvements in monitoring, observability, automation, and operational processes.
• Maintain operational documentation, runbooks, and knowledge articles.

AI Infrastructure – Platform Operations Engineer

AI Infrastructure & Platform Operations Engineer

• We’re looking for an Engineer to help build and operate the infrastructure behind Zencoder’s AI-powered products.
• You’ll work across our production platform, improving its reliability, security, scalability and cost efficiency.
• This includes our Kubernetes foundations, cloud infrastructure, networking, data systems and the internal tooling that enables engineers to deploy and operate services confidently.
• This is a hands-on engineering role rather than a traditional operations position.
• You’ll write code, automate infrastructure, investigate production issues and design systems that reduce operational complexity as the company grows.
• The exact problems will evolve quickly. You should be comfortable taking ownership of unfamiliar systems, identifying the highest-leverage improvements and moving between immediate production needs and longer-term platform investments.

Senior Engineer, Infrastructure

• Lead the investigation and resolution of complex infrastructure, networking, and platform-related incidents.
• Act as a senior escalation point for operational teams during critical service-impacting events.
• Support large-scale NVIDIA GPU infrastructure and high-performance networking environments.
• Troubleshoot complex Linux, Kubernetes, networking, storage, and hardware-related issues.
• Analyze platform performance, capacity, stability, and reliability trends to proactively identify risks.
• Lead root cause analysis activities and drive long-term corrective actions.
• Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve complex technical challenges.
• Provide technical leadership for Kubernetes platform operations and supporting infrastructure services.
• Drive improvements in platform reliability, observability, monitoring, and operational processes.
• Identify opportunities to automate repetitive operational activities and improve operational efficiency.
• Mentor and support AI Infrastructure & Platform Operations Engineers.

• Define and maintain SLOs, SLIs, and error budgets, plus the observability—metrics, logs, traces and alerts—that catches regressions before users do.
• Build repeatable, self-service infrastructure through infrastructure-as-code, CI/CD and golden paths so teams can provision, deploy and recover without reinventing the wheel.
• Own rollouts end-to-end—progressive delivery, canaries, safe migrations and clean rollbacks.
• Operate the systems behind Somnia's nodes, validators, RPC and indexing, tuning for performance and cost across regions.
• Lead incident response and on-call, run blameless postmortems, and continuously harden the platform.
• Partner with product and protocol teams to design and operate production-ready services. You'll rotate between embedding with engineering teams and building the shared platform, tooling and operational standards that underpin the wider organisation.

Senior Infrastructure Engineer

• Tune ClickHouse queries for performance and efficiency.
• Administer ClickHouse settings, tables, and data structures (act as ClickHouse DBA).
• Create and maintain data models and dashboards in Looker.
• Implement and monitor data quality checks and validations.
• Perform infrastructure work on Kafka, Zookeeper, ClickHouse, and the Kubernetes stack.

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