Member of Technical Staff 4
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Key skills for this role
About the Role
Nutanix is looking for a Software Engineer to design, develop, and scale their next-generation Kubernetes platform for enterprise AI/ML workloads. The role requires 6-8 years of experience, strong Kubernetes and Golang/Python skills, and operates in a hybrid work environment.
Key Skills for This Role
Responsibilities
- Own end to end delivery of key platform capabilities, including cluster lifecycle, fleet management, and multi tenancy
- Collaborate closely with US based and global teams to understand complex project requirements and align on engineering assignments
- Develop, deploy, and manage core applications within a production Kubernetes environment utilizing GitOps workflows
- Document software development processes, technical designs, and project specifications to maintain high engineering standards
- Practice agile methodologies within the team, promoting effective communication, transparency, and collaborative teamwork
Requirements
- 6–8 years of experience in a technical role within software development or engineering
- Strong proficiency in Kubernetes architecture for application development, configuration, and management
- Proven experience with Docker image management and Helm chart creation for application deployment
- Proficiency in Git, GitOps workflows, and automation via GitHub Actions
- Strong knowledge of programming languages, particularly Golang or Python
- Solid understanding of Linux environments and Agile methodologies
- Strong communication and collaboration skills
Full Job Posting
The Opportunity
- We are looking for a Software Engineer to design, develop, and scale our next generation Kubernetes platform powering enterprise environments.
- This platform serves as the foundation for AI/ML workloads, GPU infrastructure, and enterprise applications, delivering hyperscaler like capabilities across on prem and hybrid cloud deployments.
- In this role, you will gain deep exposure to production grade distributed systems, owning key capabilities that enable enterprises to run mission critical operations at massive scale.
About the Team
- We are building a next generation Kubernetes platform (NKP) for enterprise AI and modern applications, designed to bring hyperscaler grade capabilities into on prem environments.
- The team owns the full stack—from cluster lifecycle and fleet management to multi tenancy and AI workload orchestration (including GPU management).
- Our charter is to enable enterprises to run mission critical and AI workloads at massive scale, with a strong focus on simplicity, reliability, and performance.
- We operate as a highly collaborative, globally distributed team spanning the US, Europe, and India, working closely with product, hardware, and field organizations.
- You will report to the Sr. Manager of Engineering.
Your Role
- Own end to end delivery of key platform capabilities, including cluster lifecycle, fleet management, and multi tenancy.
- Collaborate closely with US based and global teams to understand complex project requirements and align on engineering assignments.
- Develop, deploy, and manage core applications within a production Kubernetes environment utilizing GitOps workflows.
- Document software development processes, technical designs, and project specifications to maintain high engineering standards.
- Practice agile methodologies within the team, promoting effective communication, transparency, and collaborative teamwork.
What You Will Bring
- 6–8 years of experience in a technical role within software development or engineering.
- Strong proficiency in Kubernetes architecture for application development, configuration, and management.
- Proven experience with Docker image management and Helm chart creation for application deployment.
- Proficiency in Git, GitOps workflows, and automation via GitHub Actions.
- Strong knowledge of programming languages, particularly Golang or Python.
- Solid understanding of Linux environments and Agile methodologies.
- Strong communication and collaboration skills, with the ability to thrive in a hybrid work environment.
Work Arrangement
- Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in person collaboration.
- Employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in office resources.
Pay Transparency
- The pay range for this position at commencement of employment is expected to be between CAD 148,000 and CAD 222,000 per annual.
- Base pay offered may vary depending on multiple individualized factors, including market location, job related knowledge, skills, and experience.
- The total compensation package may also include other elements, including a sign on bonus, restricted stock units, and discretionary awards.
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