| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Hong Kong, Hong Kong |
| |||
visa | United States | $72k - $99k | |||
Pulley | Remote | $200k - $240k | |||
Alpaca | Remote | $105k - $109k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Bitgo | Remote | $90k - $96k | |||
Bitgo | Remote | $180k - $220k | |||
Fin | New York, NY, United States | $125k - $250k | |||
Crypto Finance AG | Zurich, Switzerland | $115k - $145k | |||
Bcbgroup | Remote | $59k - $80k | |||
Bcbgroup | Remote | $59k - $80k | |||
Bcbgroup | Remote | $90k - $110k | |||
Zscaler | Remote | $126k - $131k | |||
Layerzerolabs | Remote | $86k - $110k | |||
Jumpcrypto | Remote | $150k - $200k | |||
Gsrmarkets | Remote | $84k - $150k |
Senior Performance QA Engineer
Responsibilities
- Translate business and technical requirements into concrete performance test plans.
- Design and implement architecture-level and code-level optimizations to enhance system throughput and stability.
- Work closely with DevOps to ensure production-level high availability across distributed systems.
- Build and execute performance testing strategies covering load, stress, scalability, and reliability.
- Independently troubleshoot real-time performance issues, identifying root causes and delivering solutions end-to-end.
- Develop internal tools for automated performance monitoring, testing, and issue analysis.
Requirements
- Strong ability to identify performance bottlenecks at system, service, and code levels, with actionable solutions.
- Hands-on experience troubleshooting microservice performance issues.
- Deep expertise in Java performance tuning, profiling, and JVM-level optimization.
- Proficiency with relational and NoSQL databases (MySQL, MongoDB).
- Familiarity with performance analysis for middleware such as Kafka, Redis, RabbitMQ.
- Practical experience setting up performance test environments.
- Experience with containerization and orchestration (Docker, Kubernetes).
- Solid Linux skills, both command-line and system-level troubleshooting.
- Strong passion for building systems that excel in performance, scalability, and reliability.
- Practical experience using performance engineering tools such as K6 or JMeter.
- Programming language requirement: Java (must). Rust experience is a plus.
- Hands-on experience with public cloud platforms (AWS, Azure, GCP, AliCloud).
- Experience setting up monitoring/observability stacks (Prometheus, Grafana).
- Prior experience conducting performance tests in production environments.
- Experience triaging and resolving production performance incidents.
- Linux kernel or OS-level performance analysis skills.
- Experience working within distributed, remote teams.
- Ability to leverage APM tools effectively for performance troubleshooting.
Is Kubernetes high demand?
Yes, Kubernetes is currently in high demand in the technology industry
Kubernetes is an open-source container orchestration platform that is widely used for deploying, scaling, and managing containerized applications
It provides a standardized way to manage and automate the deployment of containerized applications across multiple hosts and provides benefits such as reliability, scalability, and flexibility
As more and more organizations move towards containerized architectures, Kubernetes has become a critical component of their infrastructure
Kubernetes is used by companies of all sizes, from startups to large enterprises, and across various industries, including finance, healthcare, and e-commerce
According to various job market and salary surveys, Kubernetes-related skills are in high demand, and job positions related to Kubernetes are growing at a rapid pace
In fact, Kubernetes is often listed as one of the top skills that are in high demand by technology companies
Overall, Kubernetes is a highly sought-after skill in the technology industry, and it's likely to remain in high demand in the foreseeable future as more and more organizations adopt containerization and cloud-native architectures.