As a Software Engineer on the Kubernetes Platform Engineering team you will help build deploy and operate large-scale Kubernetes clusters that power Visas internal platform services. This role offers hands-on experience with Kubernetes internals distributed systems and platform tooling while contributing to the engineering of Visas internal Kubernetes distribution. You will work closely with senior engineers and architects gaining mentorship and exposure to infrastructure at scale.
Responsibilities
- Assist in building enhancing and managing Open-Source Kubernetes distributions for Visas internal workloads.
- Support the deployment monitoring and maintenance of Kubernetes clusters with a focus on reliability scalability and security.
- Contribute to the design and implementation of Kubernetes Custom Resource Definitions (CRDs) and operators.
- Participate in troubleshooting Linux and container runtime issues related to Kubernetes environments.
- Collaborate with architects and senior engineers during design code reviews and proof-of-concept initiatives.
- Write clean reliable and maintainable code spending the majority of your time in hands-on development.
- Contribute to improving developer workflows automation and operational efficiency within the platform.
- Learn and adopt best practices for modern DevOps models Infrastructure as Code and distributed system design.
- Participate in team knowledge sharing and contribute to Visas growing technology presence internally and externally.
Qualifications :
Basic Qualifications:
Minimum of 6 months of work experience or a Bachelors Degree in Computer Science or equivalent
Preferred Qualifications:
- 12 years of relevant work experience in cloud infrastructure DevOps or distributed systems.
- Familiarity with one or more programming languages such as Golang Python Java or C.
- Fundamental understanding of Kubernetes concepts (pods deployments services CRDs).
- Interest in automation Infrastructure as Code and platform engineering practices.
- Experience with Linux systems including troubleshooting networking and performance basics.
- Exposure to service mesh container network interface and container storage interface preferred.
- Basic understanding of generative AI concepts including large language models (LLMs) prompt engineering and the general capabilities and limitations of GenAI tools.
- Coursework projects or certifications that demonstrate an interest in Kubernetes.
- Experience contributing to open-source projects or community involvement a plus.
Additional Information :
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 94000.00 to 132950.00 USD per year which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge skills experience and addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.
Remote Work :
No
Employment Type :
Full-time
As a Software Engineer on the Kubernetes Platform Engineering team you will help build deploy and operate large-scale Kubernetes clusters that power Visas internal platform services. This role offers hands-on experience with Kubernetes internals distributed systems and platform tooling while contrib...
As a Software Engineer on the Kubernetes Platform Engineering team you will help build deploy and operate large-scale Kubernetes clusters that power Visas internal platform services. This role offers hands-on experience with Kubernetes internals distributed systems and platform tooling while contributing to the engineering of Visas internal Kubernetes distribution. You will work closely with senior engineers and architects gaining mentorship and exposure to infrastructure at scale.
Responsibilities
- Assist in building enhancing and managing Open-Source Kubernetes distributions for Visas internal workloads.
- Support the deployment monitoring and maintenance of Kubernetes clusters with a focus on reliability scalability and security.
- Contribute to the design and implementation of Kubernetes Custom Resource Definitions (CRDs) and operators.
- Participate in troubleshooting Linux and container runtime issues related to Kubernetes environments.
- Collaborate with architects and senior engineers during design code reviews and proof-of-concept initiatives.
- Write clean reliable and maintainable code spending the majority of your time in hands-on development.
- Contribute to improving developer workflows automation and operational efficiency within the platform.
- Learn and adopt best practices for modern DevOps models Infrastructure as Code and distributed system design.
- Participate in team knowledge sharing and contribute to Visas growing technology presence internally and externally.
Qualifications :
Basic Qualifications:
Minimum of 6 months of work experience or a Bachelors Degree in Computer Science or equivalent
Preferred Qualifications:
- 12 years of relevant work experience in cloud infrastructure DevOps or distributed systems.
- Familiarity with one or more programming languages such as Golang Python Java or C.
- Fundamental understanding of Kubernetes concepts (pods deployments services CRDs).
- Interest in automation Infrastructure as Code and platform engineering practices.
- Experience with Linux systems including troubleshooting networking and performance basics.
- Exposure to service mesh container network interface and container storage interface preferred.
- Basic understanding of generative AI concepts including large language models (LLMs) prompt engineering and the general capabilities and limitations of GenAI tools.
- Coursework projects or certifications that demonstrate an interest in Kubernetes.
- Experience contributing to open-source projects or community involvement a plus.
Additional Information :
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 94000.00 to 132950.00 USD per year which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge skills experience and addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.
Remote Work :
No
Employment Type :
Full-time
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