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Senior Infrastructure Engineer

Systalyze
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RemoteFull-timePosted 5mo ago

About the role

Seeking a software engineer with deep infrastructure expertise to design, build, and automate scalable infrastructure systems using Go, Kubernetes, and cloud technologies across AWS, GCP, and Azure.

Responsibilities

  • Design and build scalable, secure, and reliable infrastructure systems in Go.
  • Own the packaging, release, and lifecycle strategy for customer-distributed Kubernetes components (Helm charts, CRDs, binaries, agents).
  • Implement versioning, upgrade, and rollback mechanisms for distributed Kubernetes software.
  • Automate deployment pipelines for both cloud-hosted and customer-hosted environments.
  • Design secure delivery of artifacts (OCI registries, private repos).
  • Collaborate with product and engineering teams to define the contract between hosted and customer-hosted environments.
  • Provide cross-cloud functionalities across AWS, GCP, and Azure.

Qualifications

  • 5+ years as a software or infrastructure engineer, with strong coding skills in Go.
  • Experience with Kubernetes internals: client-go, controllers, operators, Helm charts, CRDs.
  • Hands-on knowledge of at least one major cloud (AWS, GCP, or Azure) and familiarity with the others.
  • Experience building software distribution strategies for on-prem or customer-managed deployments.
  • Solid grasp of CI/CD tools (GitHub Actions, ArgoCD, CircleCI, etc.).
  • Familiarity with Terraform and cloud SDKs.
  • Understanding of container registries, artifact management, and secure software supply chain is a plus.
  • Strong communication skills.

Skills

Required:Go programmingKubernetes internalsCloud platformsCI/CD toolsCommunication skills
Nice to have:Terraform and SDKs

Benefits

  • Competitive salary, equity options, and benefits package.
  • Continuous learning and growth opportunities.
Last updated Apr 30, 2026. Interested? Apply on the company site.

About Systalyze

Unlock Efficiency and Scale in Your AI Deployments.

Systalyze's groundbreaking platform uncovers and eliminates inefficiencies in AI workloads, enabling customers to cut costs by up to 90%.

AI workloadsEfficiencyAI optimizationEnterprise AI
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