📍 Job Overview

Job Title: Senior Kubernetes Software Engineer
Company: NVIDIA
Location: Israel, Raanana
Job Type: Full-Time
Category: DevOps Engineer
Date Posted: June 24, 2025
Experience Level: Mid-Senior Level (5-10 years)

🚀 Role Summary

Design and develop scalable, cloud-native solutions to accelerate HPC and AI workloads using NVIDIA's advanced technologies (GPUs, DPUs, ConnectX).
Contribute to NVIDIA's AI supercomputing platforms and collaborate with cross-functional teams to deliver new features and improve existing products.
Support, maintain, and document robust software systems.

📝 Enhancement Note: This role requires a strong background in software development, with a focus on the K8s ecosystem and cloud infrastructure. Candidates should have experience with Go and Python, as well as familiarity with CI/CD tools.

💻 Primary Responsibilities

Solution Architecture: Design and develop scalable, cloud-native solutions to accelerate HPC and AI workloads using NVIDIA's advanced technologies.
Collaboration: Work with cross-functional teams to deliver new features and improve existing products.
Maintenance & Documentation: Support, maintain, and document robust software systems.

📝 Enhancement Note: This role involves a significant amount of collaboration and communication with various teams. Strong communication skills and the ability to work effectively across teams and geographies are essential.

🎓 Skills & Qualifications

Education: A BSc in Computer Science or equivalent program is required.

Experience: 5+ years of software development experience with Go and Python is necessary. Strong hands-on development experience with the K8s ecosystem and familiarity with CI/CD tools are also required.

Required Skills:

Proven ability to design, debug, and maintain complex distributed systems.
Excellent communication skills and the ability to collaborate across teams and geographies.
Self-starter with adaptability and eagerness to learn new technologies.

Preferred Skills:

Experience building K8s operators/controllers.
Background in HPC or AI infrastructure technologies.

📝 Enhancement Note: While not strictly required, experience with K8s operators/controllers and a background in HPC or AI infrastructure technologies would be highly beneficial for this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your experience with the K8s ecosystem and cloud infrastructure through relevant projects.
Showcase your ability to design, debug, and maintain complex distributed systems.
Highlight your communication skills and collaboration abilities through team projects or case studies.

Technical Documentation:

Provide clear and concise documentation for your projects, explaining the architecture, implementation, and any challenges faced.
Include any relevant code comments or inline documentation that demonstrate your attention to detail and commitment to maintainability.

📝 Enhancement Note: While not explicitly mentioned, having a well-documented portfolio that showcases your problem-solving skills and attention to detail will be beneficial for this role.

💵 Compensation & Benefits

Salary Range: The average salary for a Senior Kubernetes Software Engineer in Israel is around ₪ 35,000 - ₪ 50,000 per month, according to Glassdoor. However, this can vary depending on the candidate's experience and the specific company.

Benefits:

Competitive benefits package, including health insurance, retirement plans, and employee stock purchase plans.
Generous time-off policies, including vacation, sick leave, and holidays.
Opportunities for professional development, such as training, conferences, and mentorship programs.

Working Hours: Full-time position with standard working hours, typically Monday to Friday, 9:00 AM to 5:00 PM. Some flexibility may be available for maintenance and deployment windows.

📝 Enhancement Note: While the salary range is not explicitly stated in the job listing, research indicates that the average salary for this role in Israel is around ₪ 35,000 - ₪ 50,000 per month. Additionally, NVIDIA is known for offering competitive benefits and professional development opportunities.

🎯 Team & Company Context

🏢 Company Culture

Industry: NVIDIA operates in the technology industry, focusing on the design and manufacture of graphics processing units (GPUs) and system on a chip units (SoCs) for mobile computing and automotive markets.

Company Size: NVIDIA is a large company with over 20,000 employees worldwide. This size offers opportunities for growth, collaboration, and exposure to diverse projects.

Founded: NVIDIA was founded in 1993 and has since grown to become a leading technology company, known for its innovative products and commitment to research and development.

Team Structure:

The team consists of software engineers, DevOps engineers, and other technical roles focused on cloud infrastructure and HPC/AI workloads.
The team is organized into smaller, agile groups, each responsible for specific aspects of the software development lifecycle.

Development Methodology:

NVIDIA uses Agile methodologies, with a focus on iterative development, continuous integration, and collaboration.
The team uses tools such as GitLab for version control and CI/CD, and Jira for project management.

Company Website: NVIDIA

📝 Enhancement Note: NVIDIA's large size and focus on research and development offer numerous opportunities for growth and collaboration. The company's commitment to Agile methodologies and use of modern tools indicate a dynamic and innovative work environment.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the mid-senior level, requiring a strong background in software development, with a focus on the K8s ecosystem and cloud infrastructure. The role offers opportunities for growth into technical leadership or architecture positions.

Reporting Structure: The role reports directly to the Engineering Manager, with opportunities for collaboration and mentorship from other senior engineers and architects.

Technical Impact: The role has a significant impact on NVIDIA's AI supercomputing platforms and cloud infrastructure, contributing to the acceleration of HPC and AI workloads using NVIDIA's advanced technologies.

Growth Opportunities:

Technical Leadership: With experience and strong performance, candidates may have the opportunity to move into technical leadership or architecture roles.
Specialization: Candidates may choose to specialize in specific areas, such as HPC or AI infrastructure technologies, to deepen their expertise and advance their careers.
Cross-functional Collaboration: Working with various teams and on diverse projects can provide opportunities for learning and growth in different aspects of software development and infrastructure.

📝 Enhancement Note: This role offers numerous opportunities for growth, both in terms of technical expertise and career progression. The large team size and diverse projects provide ample opportunities for collaboration and learning.

🌐 Work Environment

Office Type: NVIDIA's offices are modern, collaborative workspaces designed to foster innovation and creativity. The company encourages open communication and cross-functional collaboration.

Office Location(s): NVIDIA has offices worldwide, with this role based in Israel, Raanana. The office is easily accessible and offers amenities such as on-site cafeterias and fitness centers.

Workspace Context:

Collaboration: The workspace is designed to encourage collaboration, with open-plan offices and plenty of meeting spaces.
Tools & Equipment: NVIDIA provides state-of-the-art hardware and software tools to ensure engineers can work efficiently and effectively.
Cross-functional Interaction: The workspace facilitates interaction with other teams, such as design, marketing, and business teams, fostering a holistic approach to product development.

Work Schedule: Full-time position with standard working hours, typically Monday to Friday, 9:00 AM to 5:00 PM. Some flexibility may be available for maintenance and deployment windows.

📝 Enhancement Note: NVIDIA's modern, collaborative work environment is designed to foster innovation and creativity. The company's commitment to providing state-of-the-art tools and encouraging cross-functional collaboration indicates a focus on employee satisfaction and productivity.

📄 Application & Technical Interview Process

Interview Process:

Online Assessment: A technical assessment to evaluate your problem-solving skills and understanding of cloud infrastructure and the K8s ecosystem.
Phone Screen: A brief call to discuss your experience, motivation, and fit for the role.
On-site Interview: A full-day on-site interview, including technical deep dives, system design discussions, and behavioral interviews.
Final Decision: A final decision will be made based on your performance throughout the interview process.

Portfolio Review Tips:

Highlight your experience with the K8s ecosystem and cloud infrastructure through relevant projects.
Showcase your ability to design, debug, and maintain complex distributed systems.
Demonstrate your communication skills and collaboration abilities through team projects or case studies.

Technical Challenge Preparation:

Brush up on your Go and Python skills, as well as your understanding of the K8s ecosystem and cloud infrastructure.
Familiarize yourself with NVIDIA's products and technologies, as well as the company's mission and values.
Prepare for system design questions and be ready to discuss your approach to problem-solving and architecture.

ATS Keywords:

Programming Languages: Go, Python
Web Frameworks: Kubernetes, Cloud Infrastructure
Server Technologies: Distributed Systems, HPC, AI
Databases: Not specified
Tools: GitLab, Jira, CI/CD
Methodologies: Agile, Scrum
Soft Skills: Communication, Collaboration, Adaptability
Industry Terms: HPC, AI, Cloud Native, Scalability, Performance

📝 Enhancement Note: The interview process for this role is comprehensive and designed to evaluate your technical skills, problem-solving abilities, and cultural fit. Preparation should focus on your understanding of the K8s ecosystem, cloud infrastructure, and NVIDIA's products and technologies.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: Not specified, as this role focuses on backend and infrastructure development.

Backend & Server Technologies:

Programming Languages: Go, Python
Frameworks & Libraries: Kubernetes, Cloud Infrastructure
Server Technologies: Distributed Systems, HPC, AI
Databases: Not specified

Development & DevOps Tools:

Version Control: GitLab
CI/CD: GitLab, Jenkins
Project Management: Jira
Monitoring & Logging: Not specified

📝 Enhancement Note: This role requires a strong background in Go and Python, as well as familiarity with the K8s ecosystem and cloud infrastructure. Experience with CI/CD tools and project management software is also beneficial.

👥 Team Culture & Values

Web Development Values:

Innovation: NVIDIA values innovation and encourages employees to push the boundaries of what's possible.
Collaboration: The company fosters a collaborative work environment, where employees are encouraged to work together to achieve common goals.
Quality: NVIDIA is committed to delivering high-quality products and solutions that meet the needs of its customers.
Performance: The company values performance and encourages employees to strive for excellence in all aspects of their work.

Collaboration Style:

Cross-functional Interaction: NVIDIA encourages collaboration across teams, with a focus on open communication and knowledge sharing.
Code Review & Pair Programming: The company uses code review and pair programming to ensure high-quality code and to facilitate knowledge sharing.
Mentorship & Learning: NVIDIA offers mentorship and learning opportunities to help employees develop their skills and advance their careers.

📝 Enhancement Note: NVIDIA's commitment to innovation, collaboration, and high-quality products indicates a strong focus on employee satisfaction and customer success. The company's emphasis on cross-functional collaboration and knowledge sharing fosters a dynamic and engaging work environment.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Scalability: Designing and developing scalable, cloud-native solutions to accelerate HPC and AI workloads using NVIDIA's advanced technologies.
Performance: Ensuring that software systems perform optimally and can handle high loads and traffic.
Complexity: Working with complex distributed systems and understanding the intricacies of the K8s ecosystem and cloud infrastructure.
Emerging Technologies: Staying up-to-date with the latest developments in HPC, AI, and cloud infrastructure technologies.

Learning & Development Opportunities:

Technical Training: NVIDIA offers technical training and certification programs to help employees develop their skills and advance their careers.
Conferences & Events: The company encourages employees to attend industry conferences and events to stay up-to-date with the latest trends and best practices.
Mentorship & Coaching: NVIDIA provides mentorship and coaching opportunities to help employees grow both personally and professionally.

📝 Enhancement Note: This role presents numerous technical challenges and opportunities for growth, both in terms of technical expertise and career progression. NVIDIA's commitment to employee development and growth indicates a strong focus on employee satisfaction and success.

💡 Interview Preparation

Technical Questions:

System Design: Be prepared to discuss your approach to system design and architecture, with a focus on scalability, performance, and complexity.
Problem-Solving: Brush up on your problem-solving skills and be ready to discuss your approach to debugging and maintaining complex distributed systems.
Coding Challenges: Familiarize yourself with Go and Python, as well as the K8s ecosystem and cloud infrastructure, and be prepared to complete coding challenges that demonstrate your technical skills and problem-solving abilities.

Company & Culture Questions:

NVIDIA's Products & Technologies: Familiarize yourself with NVIDIA's products and technologies, as well as the company's mission and values, and be ready to discuss how your skills and experience align with the company's goals.
Agile Methodologies: Brush up on your understanding of Agile methodologies and be prepared to discuss your experience with Agile teams and projects.
Collaboration & Communication: Prepare to discuss your approach to collaboration and communication, with a focus on working effectively with diverse teams and stakeholders.

Portfolio Presentation Strategy:

Project Selection: Choose projects that demonstrate your experience with the K8s ecosystem and cloud infrastructure, as well as your ability to design, debug, and maintain complex distributed systems.
Storytelling: Prepare a compelling narrative that highlights your problem-solving skills, technical expertise, and collaboration abilities.
Demonstration: Be ready to demonstrate your projects and discuss the architecture, implementation, and any challenges faced.

📝 Enhancement Note: The interview process for this role is comprehensive and designed to evaluate your technical skills, problem-solving abilities, and cultural fit. Preparation should focus on your understanding of the K8s ecosystem, cloud infrastructure, and NVIDIA's products and technologies.

📌 Application Steps

To apply for this Senior Kubernetes Software Engineer position:

Tailor Your Resume: Highlight your experience with the K8s ecosystem, cloud infrastructure, and distributed systems, as well as your problem-solving skills and collaboration abilities.
Prepare Your Portfolio: Choose projects that demonstrate your technical skills and problem-solving abilities, with a focus on the K8s ecosystem and cloud infrastructure.
Research NVIDIA: Familiarize yourself with the company's products, technologies, mission, and values, and be ready to discuss how your skills and experience align with the company's goals.
Practice Coding Challenges: Brush up on your Go and Python skills, as well as your understanding of the K8s ecosystem and cloud infrastructure, and be prepared to complete coding challenges that demonstrate your technical skills and problem-solving abilities.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Senior Kubernetes Software Engineer