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Designs and maintains large-scale production infrastructure across Linux servers, virtual machines, hypervisors, and datacenters. Administers OpenStack and VMware environments, develops automation using Python, Go, and PowerShell, troubleshoots hardware and infrastructure issues, and participates in on-call incident response. The role also supports networking, configuration management, documentation, post-mortems, and AI-enabled workflow improvements.

Design, build, and maintain on-prem Kubernetes and virtualization environments, automate infrastructure (IaC, IaaS), maintain CI/CD pipelines and repos, troubleshoot incidents, perform code reviews and documentation, and lead platform improvements for large-scale production systems.

Own and operate virtualized infrastructure, IaaS platforms, and cloud environments supporting CrowdStrike’s software factory. Lead Infrastructure as Code and configuration management using Terraform, Packer, and Ansible; support migration from VMware to KVM-based private cloud; build automation and tooling; maintain monitoring, reliability, and resilience; troubleshoot incidents; participate in on-call; and document processes and review infrastructure code.

Operate and evolve internal Temporal infrastructure on Kubernetes: deploy updates, automate operational tasks, tune performance and capacity, build observability, participate in on-call incident response, troubleshoot production issues, and help onboard internal teams while growing platform engineering skills.

Build and maintain full-stack internal applications using React, Next.js, and Go. Design AI agent workflows, autonomous systems, and LLM-integrated tooling to improve developer productivity. Develop REST and gRPC APIs, accessible user interfaces, and scalable services. Contribute to Kubernetes-based CI/CD, infrastructure automation, testing, code reviews, architecture discussions, and Agile ceremonies while collaborating with distributed global teams.

Implement, maintain, and optimize AI-enhanced network monitoring, anomaly detection, automated remediation, and telemetry integrations across hyperscale hybrid cloud infrastructure. Collaborate with Network Engineering and TechOps, document automated procedures, and participate in 24x7 on-call rotation to ensure high availability and rapid incident response.

Design and build scalable backend services and data pipelines for a globally distributed risk platform. Implement microservices, cloud infrastructure, databases, messaging, monitoring, and reliability practices. Troubleshoot performance issues, mentor engineers, and collaborate with cross-functional teams to deliver high-availability security solutions.

This role involves designing, building, and scaling a Data+ML platform, collaborating on machine learning pipelines, and incorporating cloud services for deployment and execution.

Develop network-centric automation tools and self-service portals: build SPAs, microservices (Python/Golang), gRPC/REST APIs, CI/CD pipelines, IaC, observability integrations, automated tests, and participate in on-call rotations to resolve deployment or tooling outages while collaborating with network engineers.

Design, build, and maintain a large-scale observability and distributed tracing platform using Sentry/OpenTelemetry/Jaeger. Implement end-to-end tracing across microservices, develop Kubernetes operators, apply TDD/CI-CD/chaos practices, participate in on-call rotations, and review peer designs to improve reliability and scalability.