Sr. Software Engineer

Working Location

Sunnyvale, California, United States, 94089

In our ‘always on’ world, we believe it’s essential to have a genuine connection with the work you do.

RUCKUS delivers purpose-driven networks powered by Artificial Intelligence (AI) and Machine Learning (ML) that have been independently validated to outperform competitors.

Do you love building high-performance automation systems that make software delivery faster, smarter, and more reliable? Are you excited about integrating AI-driven innovations into Dev Ops workflows? If you’re passionate about pushing boundaries and creating impact, this is your opportunity to lead the way.

The Code-Ops team owns the end-to-end software delivery lifecycle—CI/CD, Dev Ops automation, engineering tooling, and AI-driven improvements to how we build and ship. We run MCP servers, an agentic development platform, and the integrations that connect AI coding assistants directly into CI/CD so great ideas move from PR to production faster (and safer).

We’re a small, high-leverage team: what we ship becomes the paved road for everyone else—improving developer experience, pipeline reliability, and release confidence  you care deeply about DX, measurable delivery performance (e.g., DORA-style outcomes), and the future of AI-assisted development, you’ll feel at home here.

• Design and operate CI/CD pipelines: Design and operate CI/CD pipelines end-to-end across the full SDLC - build, test, security scan, and deploy - using Git Hub Actions, Jenkins, and ArgoCD.
• Automate Dev Ops workflows: Automate Dev Ops workflows, eliminating manual toil across environment provisioning, release management, rollback, and incident recovery.
• Manage infrastructure as code: Manage infrastructure as code using Terraform, deploying and scaling workloads on Kubernetes across cloud environments (AWS, GCP, and/or Azure).
• Build AI Ops pipelines: Build and integrate AI Ops pipelines - connecting LLM-based tooling and AI coding assistants directly into CI/CD and engineering workflows.
• Manage MCP infrastructure: Manage MCP server infrastructure and contribute to the agentic development platform that sits at the intersection of AI agents and CI/CD systems.
• Own engineering tooling: Own engineering tooling for the SDLC - from PR automation and code quality gates to developer dashboards and deployment observability.
• Drive reliability: Drive reliability through monitoring, alerting, and SLO ownership for CI/CD and platform infrastructure using Prometheus and Grafana.
• Partner with engineering teams: Partner with product engineering teams to identify bottlenecks in their delivery pipeline and build durable, automated solutions.

• 2–3 years in Dev Ops, CI/CD engineering, or a platform/infrastructure role
• Hands‑on experience building or operating CI/CD pipelines in production (Git Hub Actions, Jenkins, or similar)
• Proficiency in Python, Go, or Bash for automation and tooling
• Working knowledge of Kubernetes and container-based deployments
• Experience with Terraform or another IaC tool in a cloud environment
• Strong debugging mindset – you trace failures end-to-end and fix root causes, not symptoms

Comfort operating in fast-moving environments with shared ownership.

Our salary ranges consider a wide variety of factors, including but not limited to benchmarking by independent third-party consultants, skill sets, years of experience, training, education, geography, and other business needs. Depending on experience, the range can be higher for candidates with exceptional experience and a demonstrated history of successful performance. This position's expected total compensation (base salary and commission range) is $87,400.00–$.

The candidate will be rewarded with a comprehensive benefits package, including medical, dental, and vision plans, life and accidental death insurance, a 401(k) plan, and participation in the Company's Incentive Plan. Candidates starting with the Company will be eligible for eleven paid holidays in a full calendar year, two weeks of paid vacation (prorated based on start date), as well as other leave…