Engineering Team Lead, Automation, Performance & Scale

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🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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👻 Ghost score 23%

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Mirantis

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.

📋 Description

• Lead, hire, and grow the k0rdent AI automation and performance engineering team • Set direction and priorities, run planning, coach engineers, and own delivery of team commitments • Define k0rdent AI release acceptance criteria and exit gates • Coordinate verification across component teams and drive evidence-based go/no-go decisions for releases, upgrade paths, and hotfixes • Drive shift-left testing, test pyramids, contract and integration testing, definition of done, CI quality gates, and test-code review standards • Participate in roadmap planning and estimation, assessing testability and non-functional risk • Ensure performance, scale, and reliability requirements are explicit and measurable • Establish and report quality and performance metrics to engineering and product leadership • Convert field issues and customer scenarios into automated coverage with product management, development, SRE, and support teams • Design, build, and evolve API, end-to-end, upgrade, and multi-cluster test automation frameworks • Own performance and scale testing for control-plane scalability, GPU workload scheduling and utilization, and AI inference/serving throughput and latency • Conduct soak, endurance, resilience, failure-injection, upgrade/rollback, backup/restore, disaster-recovery, security, and tenant-isolation testing • Build reproducible on-demand test environments and infrastructure as code across local, multi-cluster, multi-region, and bare-metal GPU topologies • Integrate automated suites and performance regression checks into CI/CD pipelines • Automate test-result collection, storage, trend analysis, and triage; build observability and dashboards • Debug complex cross-stack failures, trace issues into service code, and partner with component teams on root-cause fixes

🎯 Requirements

• 5+ years in software engineering, test automation, performance engineering, or SRE/platform engineering • 2+ years leading engineers • Ability to remain hands-on while leading, including designing frameworks, writing production-quality code, and reviewing work • Strong knowledge of testing methodologies and techniques • Strong test automation engineering with Python test frameworks such as pytest or equivalent • Experience with API and end-to-end testing, test data and environment management, and maintaining fast, non-flaky suites • Hands-on experience designing and executing performance, load, and scale tests for distributed systems or API platforms • Experience with tools such as k6, Locust, JMeter, kube-burner, or ClusterLoader2 • Experience with profiling, capacity analysis, and translating results into actionable engineering findings • Experience with failure injection, chaos engineering, soak testing, and upgrade/rollback verification • Strong Kubernetes experience, including workloads, networking, storage, RBAC, CRDs and operators, Cluster API, Helm, and cluster upgrades • Strong coding ability in Python and shell scripting • Enough Go to read service code, write tooling or tests, trace failures, and file precise bugs • Experience owning or defining release acceptance and go/no-go processes for complex infrastructure products • Strong CI/CD experience with pipelines as code, quality gates, and versioned release workflows • Git-based workflow fluency • Experience building environments as code on Linux/UNIX using Docker, virtualization, Terraform or Ansible, and GitOps tools such as Argo CD or Flux • Experience with Prometheus, Grafana, and centralized logging • Experience contributing to roadmap planning, estimation, and prioritization • Excellent communication with geographically distributed international teams • Strong spoken and written English • Nice-to-have: k0s or k0rdent ecosystem experience; GPU infrastructure on Kubernetes; AI/ML workload benchmarking; public cloud providers; bare-metal provisioning; multi-region topologies; stateful supporting stacks; OpenTelemetry; security and policy testing; CNCF open-source contributions

🏖️ Benefits

• Competitive compensation package with strong benefits plan • Work with an established leader in the cloud infrastructure industry • Work with passionate, talented and engaging colleagues • Help Fortune 500 and Global 2000 customers implement next-generation cloud technologies • Participate in cutting-edge, open-source innovation • High-energy environment valuing openness, collaboration, risk-taking, and continuous growth

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