Principal Software Engineer

🕒 5 days ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 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

• Own the architecture for Enterprise AI across the AI gateway, control plane, model serving, identity, metering, and observability • Set the technical bar for a small, senior, remote-first team • Lead gateway strategy, including data plane selection and policy-based routing with per-request metering and audit records • Set direction for LLM serving on Kubernetes, including GPU scheduling and sharing, autoscaling, multi-tenancy, disaggregated serving, and cost per token • Define enterprise deployment practices, including Helm installs and upgrades, air-gapped networks, preflight checks, and supply-chain security • Run design reviews, make build-versus-buy decisions, and record decisions as ADRs • Build hands-on in critical-path areas • Mentor senior engineers, including on AI-assisted development • Work with design partners and customers • Represent Mirantis in Kubernetes and ML-infrastructure communities

🎯 Requirements

• 10+ years in infrastructure or distributed systems, including several as technical lead • Experience shipping multi-service systems that enterprises run in production, including software customers install themselves • Expert Kubernetes: operators, CRDs, scheduling, Helm, and debugging at scale • Production experience with GPU workloads, LLM inference or AI gateways • Expert Go • Strong Python • Solid CI/CD and infrastructure as code • Fluent use of AI-assisted development tools • Ability to thrive with autonomy on a distributed team • Nice to have: inference performance work including quantization, batching, KV-cache management, and disaggregated prefill and decode • Nice to have: AI gateway or LLM routing experience including failover, rate limiting, token metering, and policy enforcement • Nice to have: experience taking a new product to its first enterprise customers

🏖️ Benefits

• Competitive compensation package • Strong benefits plan • Remote work arrangement

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