Company:
Danta Technologies
Location: Jersey City
Closing Date: 04/12/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Seeking for a Performance Engineer with Kubernetes, Go-Lang in Remote Work in Specific Time Zones(Eastern (EST) or Central (CST))
The client is looking for a Performance Engineer with specific Kubernetes and Go programming language skills and hands-on experience in performance testing, Docker, API development, and working autonomously.
Kubernetes Expertise:
Hands-on experience with managing Kubernetes clusters.
Ability to conduct performance and load testing, preferably with knowledge of Kubernetes Performance Testing framework.
Go-Lang Skills:
Proficiency in the Go programming language (at least 3+ years).
Experience in developing, testing, maintaining, and deploying production-ready systems using Go.
Docker Experience:
Familiarity with Docker containerization technology.
Performance and Load Testing:
Practical experience in performance and load testing (2+ years desired), preferably using Kubernetes performance testing tools.
API Development and Databases:
Ability to work with APIs and interact with databases like MySQL.
Independent Worker:
Comfortable working independently and taking ownership of assigned tasks.
Remote Work in Specific Time Zones:
The candidate must be based in the USA, specifically in the Eastern (EST) or Central (CST) time zones.
Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.
The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.
The client is looking for a Performance Engineer with specific Kubernetes and Go programming language skills and hands-on experience in performance testing, Docker, API development, and working autonomously.
Kubernetes Expertise:
Hands-on experience with managing Kubernetes clusters.
Ability to conduct performance and load testing, preferably with knowledge of Kubernetes Performance Testing framework.
Go-Lang Skills:
Proficiency in the Go programming language (at least 3+ years).
Experience in developing, testing, maintaining, and deploying production-ready systems using Go.
Docker Experience:
Familiarity with Docker containerization technology.
Performance and Load Testing:
Practical experience in performance and load testing (2+ years desired), preferably using Kubernetes performance testing tools.
API Development and Databases:
Ability to work with APIs and interact with databases like MySQL.
Independent Worker:
Comfortable working independently and taking ownership of assigned tasks.
Remote Work in Specific Time Zones:
The candidate must be based in the USA, specifically in the Eastern (EST) or Central (CST) time zones.
Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.
The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.
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