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# Senior Engineer (Software), Enterprise

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/netbox-labs.md)Share9 Sep 2026Published27Listing views2Application actions9 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryNetBox Labs is hiring a senior software engineer focused on the DevOps and platform engineering foundations of its on-premises NetBox Enterprise product. The role designs Kubernetes-based high-availability deployments, maintains a Kubernetes operator, and builds lifecycle-management tooling, APIs, and operational consoles. It requires strong Python, Linux, CI/CD, GitOps, Terraform, Kubernetes, Helm, and software supply-chain security expertise, with Rust or Go as valued additions. The engineer will also manage structured six-week releases and support customers and internal teams in diagnosing complex deployment issues. This is a US-remote, full-time senior role with substantial ownership of production-grade, self-managed infrastructure.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

4/5IndependentCollaborative

AI insightThe position combines senior-level software development with complex Kubernetes platform engineering, air-gapped and multi-cluster deployment design, release management, and direct operational escalation work. Success requires broad technical depth and independent judgment across customer environments that may be difficult to reproduce.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive$187,500US market range$165k–$210k0$231k

AI insightThe disclosed annual base compensation range is USD 180,000 to USD 195,000, with a midpoint of USD 187,500. This is competitive for a US-remote senior platform/DevOps-oriented software engineer working on Kubernetes operators, enterprise on-premises deployments, and release infrastructure. The estimated US market range for comparable roles is USD 165,000 to USD 210,000 annually, depending on location, company stage, and depth of Kubernetes and systems expertise.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[DevOps](https://jobicy.com/jobs?search_keywords=DevOps.md)[Platform Engineering](https://jobicy.com/jobs?search_keywords=Platform%20Engineering.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Rust](https://jobicy.com/jobs?search_keywords=Rust.md)[Helm](https://jobicy.com/jobs?search_keywords=Helm.md)[GitHub Actions](https://jobicy.com/jobs?search_keywords=GitHub%20Actions.md)[GitOps](https://jobicy.com/jobs?search_keywords=GitOps.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[Linux](https://jobicy.com/jobs?search_keywords=Linux.md)

Sample interview questionsDescribe how you would design a Kubernetes operator for a highly available on-premises product that must support upgrades and self-healing.I would define a clear custom resource API that represents the desired product state, then implement reconciliation loops that are idempotent, observable, and safe to retry. The operator would validate prerequisites, manage dependencies in a deliberate order, use status conditions to expose progress and failures, and support versioned upgrade paths with preflight checks and rollback or recovery guidance. I would also add metrics, structured logs, and integration tests covering interrupted upgrades, degraded clusters, and configuration drift.

How would you approach an air-gapped customer installation?

I would begin by identifying every external dependency, including container images, Helm charts, packages, licenses, and update metadata. I would provide a versioned offline bundle, documented image mirroring process, integrity checks, and a preflight utility that validates cluster capacity, DNS, storage, networking, and required images before installation. The deployment workflow should be reproducible and supported by diagnostic collection tools that customers can safely share during escalation.

What practices would you use to make a multi-stage GitHub Actions pipeline reliable and secure?

I would separate fast validation, build, test, security scanning, artifact publishing, and release stages with explicit promotion criteria. Builds should be reproducible, dependencies pinned, secrets scoped minimally, artifacts signed or attested where possible, and vulnerability scanning enforced according to defined severity policies. I would use reusable workflows, caching carefully, protected environments, and clear failure reporting so engineers can quickly distinguish code, infrastructure, and dependency failures.

Tell us about how you would investigate a customer-reported deployment failure in a complex on-premises environment.

I would first establish impact, version, topology, recent changes, and the exact failed lifecycle stage. I would collect operator events, pod status, logs, resource definitions, network and storage signals, and relevant diagnostics through a structured support bundle while protecting customer-sensitive data. I would form and test hypotheses methodically, communicate status and next actions clearly, implement a safe mitigation, and then convert the root cause into improved validation, documentation, or automated remediation.

How do you balance feature delivery with a fixed release cadence and a stabilization period?

I would use a release plan with clear entry criteria, feature flags where appropriate, versioning rules, and early integration testing for upstream changes. During the build period, I would continuously assess risk and keep release artifacts and documentation current; during stabilization, I would prioritize regression testing, upgrade testing, vulnerability remediation, and customer-impacting defects. Decisions to defer work should be transparent and based on operational readiness rather than feature completeness alone.

NetBox Labs seeks a Senior Software Engineer with strong DevOps experience to build and drive NetBox Enterprise, our on-premises product suite. You’ll own installation, configuration, and lifecycle management for our customers, tackle complex technical challenges, proactively address deployment issues unique to on-prem environments, and collaborate closely with high-performing, cross-functional teams.

In this role you will:

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Design, architect, and implement Kubernetes-based, high-availability (HA) on-premises solutions, including control plane applications, telemetry systems, air-gapped installations, and appliance offerings

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Extend and maintain our Kubernetes operator, the core of how NetBox Enterprise installs, upgrades, and heals itself in customer environments

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Develop and maintain our operational management console and associated tools, ensuring a seamless user experience for lifecycle management

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Architect and implement robust multi-stage CI/CD pipelines using GitHub Actions and complementary DevOps technologies

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Drive releases on our six-week cadence, four weeks of build followed by two weeks of stabilization, including versioning strategy and structured release management

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Write Rust and Python across the stack, from operator internals to internal tooling and APIs

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Build internal tooling and APIs to facilitate integration testing by upstream application teams, validating changes ahead of inclusion in on-premises releases

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Develop comprehensive documentation and establish best practice guidelines for deployments

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Take a weekly turn as Engineering Guardian, fielding questions and escalations from across the organization and working directly with Customer Success and customers to diagnose and resolve deployment and operational issues

Requirements:

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5+ years in software engineering, platform engineering, or SRE, with proven experience writing robust, maintainable code

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Demonstrated expertise with Kubernetes, Helm charts, and deployment automation, including complex multi-cluster and multi-region deployments

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Hands-on experience building inside an AI-augmented development harness, including Claude Code and the workflows that make agentic tooling reliable

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Strong Python skills for tooling, APIs, and automation

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Hands-on experience with CI/CD systems (GitHub Actions), GitOps delivery (ArgoCD or FluxCD), and infrastructure-as-code (Terraform)

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Strong knowledge of Linux systems, including system administration, troubleshooting, and networking

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Solid understanding of software supply chain security, including vulnerability scanning and CVE management, with tools such as Trivy, Dependabot, and GitHub code scanning

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Comfort working directly with customers to diagnose deployment and operational issues

Nice to Haves:

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Rust or Golang programming experience.

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Experience with virtual appliances and air-gapped installations

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Experience deploying applications using Replicated

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Familiarity with networking concepts or distributed system architecture

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3+ years of experience in a B2B software startup or high-growth organization

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Open-source contributions or project involvement

Join us at NetBox Labs to shape the future of on-premise infrastructure intelligence and innovation.

### About NetBox Labs:

NetBox Labs helps companies build and manage complex networks. We help customers accelerate network automation by delivering open, composable products and supporting the network automation community.

NetBox Labs is the commercial steward of open source NetBox, the world’s most popular network source of truth, and Orb, the next-generation open source network observability platform. Our products include NetBox Enterprise, a fully supported self-managed NetBox with advanced features, and NetBox Cloud, a secure, scalable, and reliable SaaS edition of NetBox.

NetBox powers thousands of companies, and NetBox Labs is backed by investment from Notable Capital (formerly GGV), Grafana Labs CEO Raj Dutt, Flybridge, IBM, Salesforce Ventures, and Mango Capital.

### Our culture and values:

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We own and solve problems with high attention to detail.

*

Our open source contributors, users, customers & team are all part of our community. When our community wins, we win.

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We prioritize simplicity and think twice before adding complexity

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Clear communication helps keep our team aligned and collaborating smoothly.

NetBox Labs is proud to be an equal opportunity employer. We believe diverse teams build better software, and we welcome applicants of every race, color, religion, gender identity, sexual orientation, national origin, age, disability, and veteran status. If you need accommodation at any point in the process, just let us know.

Show more

[Apply now >](https://jobicy.com/jobs/152949-senior-engineer-software-enterprise.md)

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