Infrastructure Engineer

• As an Infrastructure Engineer, you will be a key driver and doer in a fundamental shift in how we architect and host our application estate.
• You will be an advocate to enable a composable technology foundation.
• Your focus will be on both assisting in the ideation and realization of what our next generation platform will encompass, as well as helping our Product teams in implementing products.
• Execute technical practices and engineering methodologies.
• Work on building high quality, architecturally sound systems that are aligned with our business needs.
• Participate in POCs for new technology solutions.
• Handling and automating day to day administration tasks including systems reporting and system tuning.

Infrastructure Engineer at Maersk driving digital transformation in logistics

Infrastructure Engineer at Maersk driving transformation in container logistics with technology solutions. Focus on architecting and hosting application estate for global customer service.

• Own the operation, maintenance, security, observability and continuous improvement of Stellar's corporate and on-site IT infrastructure.
• Provide hands-on technical ownership of the physical network, firewalls, Wi-Fi, virtualization hosts, shared storage, backup and restoration, monitoring platforms, and Microsoft 365 and Microsoft Entra ID services.
• Independently assess the current environment, identify operational and security risks, define improvement and remediation plans, and implement the agreed actions.
• Operate and maintain Stellar's network, firewalling and Wi-Fi across sites and network segments.
• Manage the certificate lifecycle for internal services and FQDNs, and apply network and infrastructure security best practices.
• Perform structured security assessments of infrastructure, identity services, applications and service dependencies; identify vulnerabilities and operational risks; define remediation plans; and implement and track approved actions.
• Operate and maintain Microsoft 365 and Microsoft Entra ID, including identity and access management, role and privilege reviews, authentication controls, user lifecycle processes and security configuration.
• Operate and maintain the virtualization host cluster, including hosts, high availability, heartbeat, cluster networking, virtual networks, SDN/VXLAN and cluster trunks, and contribute to the evolution of the architecture.
• Implement, operate and supervise on-site and off-site backup solutions; define backup policies; execute regular restore tests; and maintain clear recovery procedures and evidence.
• Design, implement and operate monitoring and observability using Zabbix, Grafana and Elastic Stack, complemented by SNMP and IPMI where appropriate.
• Handle requests and incidents through the ticketing platform, perform root-cause analysis where appropriate, apply firmware updates and security patches, and resolve infrastructure issues.
• Maintain accurate inventory, network diagrams, configurations, technical documentation, operating procedures and recovery documentation.

Infrastructure & Network Engineer overseeing IT infrastructure operations at Stellar Telecommunications

Infrastructure & Network Engineer

Infrastructure & Network Engineer at Stellar Telecommunications responsible for IT infrastructure operations and security across network and services. Ensuring continuous improvement and operational resilience in a dynamic environment.

• Work alongside a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
• Collaborate with hardware team on vehicle compute and network designs and implementation.
• Work with software and hardware teams on OS and software delivery into vehicles.
• Assist with vehicle compute and network performance tuning and diagnostics as needed.
• Work with software and hardware teams to implement and maintain high volume data pipelines.
• Work on multiple projects designing, building, deploying tools, systems and infrastructure to support vehicle development.
• Design and implement high performance physical networks and computing systems.

Physical Infrastructure Engineer improving ML infrastructure for autonomous transportation

Physical Infrastructure Engineer – On-premise

Physical Infrastructure Engineer at Waabi enhancing ML infrastructure for autonomous vehicles. Collaborating with teams on network and compute systems to support self-driving technology.

• Create realistic cloud and platform engineering challenges.
• Build reproducible, containerized infrastructure environments.
• Design scenarios covering networking, IAM, queues, storage, scaling, and reliability.
• Define measurable requirements for configuration, topology, and runtime behaviour.
• Develop automated integration, load, security, failure, deployment, and recovery tests.
• Create accurate reference solutions and intentionally defective variants.
• Debug environments and resolve infrastructure or test issues.
• Document architecture decisions, expected outcomes, and validation logic.
• Review tasks and solutions created by other technical experts.

Cloud Platform Architect creating engineering environments for AI infrastructure evaluation

Cloud Platform Architect – AI Infrastructure Environments

Cloud Platform Architect responsible for designing scenarios involving distributed systems and infrastructure challenges for advanced AI systems. Work in a fully remote environment focusing on cloud architecture and engineering.

• 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 supporting production AI platforms.

AI Infrastructure – Platform Operations Engineer

AI Infrastructure & Platform Operations Engineer at Mirantis managing AI infrastructure and ensuring operational stability. Collaborating on GPU technologies and Kubernetes platforms in the EU.

AI Infrastructure & Platform Operations Engineer at Mirantis, enabling AI and machine learning infrastructure.

AI Infrastructure & Platform Operations Engineer

AI Infrastructure & Platform Operations Engineer at Mirantis, responsible for operating large-scale AI infrastructure environments. Support production platforms powered by NVIDIA GPUs and Kubernetes.

• Lead the end-to-end design, development, deployment, and monitoring of a scalable, governed enterprise AI platform leveraging Amazon EKS and AWS native services (e.g., Bedrock, OpenSearch Serverless, KMS, VPC).
• Design and implement agentic AI workflows, specialized autonomous agents, and multi-agent systems using advanced LLM orchestration techniques and agent frameworks.
• Architect and manage secure integrations using the Model Context Protocol (MCP) to connect the AI platform with internal systems, vector databases, and third-party SaaS applications (e.g., Google Workspace, Slack).
• Build and enforce strict identity, authorization, and zero-trust token brokering flows leveraging Okta, Auth0, and custom JWT authorizers to ensure secure, least-privilege tool execution.
• Implement deterministic policy controls (e.g., Cedar policy engine) to enforce role-based access, approval gates, and human-in-the-loop checks at the API gateway level.
• Develop and maintain highly isolated, scalable containerized runtime environments (e.g., Kubernetes pods on Amazon EKS) for secure AI model execution, tool usage, and knowledge retrieval.
• Establish and maintain comprehensive audit trails and observability for all AI interactions, utilizing AWS CloudTrail and GenAI observability tools (e.g., OpenTelemetry) to track cost, latency, and tool calls.
• Collaborate with Product Management, Security, Regulatory, and business stakeholders to translate enterprise requirements into scalable, compliant AI infrastructure solutions.
• Troubleshoot and resolve complex technical issues involving cloud infrastructure, Kubernetes networking, network isolation (PrivateLink), and agentic workflows.
• Contribute to technology roadmaps, AI infrastructure strategy, and long-term platform evolution initiatives.
• Mentor engineers, software developers, and technical teams while promoting engineering excellence, infrastructure-as-code (IaC) best practices, and continuous improvement.
• Partner with Quality, Regulatory, Privacy, Security, and Compliance functions to ensure software and AI systems operate in accordance with applicable regulatory requirements and company policies.

Senior role leading development of enterprise AI platform for cancer detection

Staff Software Development Engineer – Enterprise AI Infrastructure

Senior role leading the design and development of an AI platform for early cancer detection at GRAIL. Focusing on AWS and Kubernetes infrastructure with cross-functional collaboration.

• Design rack layout, network topology, and overall configuration for colocation
• Design and implement an isolated Out-of-Band (OOB) management network (BMC, IPMI, Redfish) with full security hardening
• Coordinate with colocation and hardware vendors — servers, switches, cross-connects, uplinks, remote hands, and cage/rack administration
• Build bare-metal automation for fleet-wide zero-touch OS provisioning (MAAS / Tinkerbell / Cluster API)
• Set up production-grade self-hosted Kubernetes clusters from scratch and maintain the core stack: Cilium (CNI), GitOps (ArgoCD), etc.
• Own cluster lifecycle: upgrades, scaling, node maintenance, incident response
• Write SOPs, runbooks, and post-mortems; participate in 24×7 on-call rotation
• Establish hybrid-cloud interconnect between IDC and public cloud (VPN / Direct Connect / peering)
• Pave the way for scale-out: GPU workloads (NVIDIA GPU Operator, passthrough, MIG) and VM workloads running alongside containers (KubeVirt or similar)

Senior Infrastructure Engineer leading IDC infrastructure at Binance

Senior Infrastructure Engineer – IDC, Bare-Metal Kubernetes

Senior Infrastructure Engineer at Binance building and running colocation data centers and Kubernetes platforms. Leading architecture and operations in a greenfield environment.

• Design, automate and develop multi-cloud environments (AWS and OCI)
• Develop and maintain IaC solutions (Terraform)
• Establish shared cloud foundations (network, security, IAM, observability)
• Design multi-cloud architecture patterns and golden paths
• Develop platform services (such as landing zones and clusters)
• Implement GitOps practices and CI/CD infrastructure
• Integrate security controls (policy as code)
• Ensure performance, resilience, security and cost optimization
• Serve as a technical reference and advise teams
• Contribute to the evolution of cloud standards and norms.

Cloud Platform Specialist focusing on infrastructure as code for cloud environments

Cloud Platform Specialist – Infrastructure as Code

Cloud Platform Specialist responsible for designing and developing multi-cloud environments with a focus on infrastructure as code. Working with cloud platforms to establish shared foundations and automated deployments.

• Build and maintain Kubernetes platforms
• Develop reusable infrastructure modules and templates using Terraform and Ansible
• Support hybrid cloud infrastructure (Azure or GCP)
• Contribute to workload migration initiatives from virtual machines to containerized environments
• Automate provisioning, configuration, and platform lifecycle tasks

Lead Kubernetes Infrastructure Engineer designing and operating hybrid cloud platforms at Wells Fargo

Lead Kubernetes Infrastructure Engineer

Lead Kubernetes Infrastructure Engineer designing, automating, and operating hybrid cloud platforms for Wells Fargo. Collaborating with teams to enhance platform reliability and developer experience.

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