Performance Engineer
Performance Engineer
Posted on :
09-04-2025
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1 Vacancy
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Job Description
Who we are
Zinier is a global company headquartered in San Mateo California with offices in Latin America Singapore Bengaluru Australia and Portugal and backed by leading investors including Accel Partners and Founders Fund.
Why we exist
Services shape how we live. Electricity lights up our homes. The Internet opens up our worlds. Cellular phones keep us connected no matter where we are. We take for granted the things we can turn on with the flip of a switch. But when even one of the services we depend on isnt available the day can quickly start to go sideways.
For organizations that provide these services some of the most important work happens in the field in neighborhoods across open spaces and along millions of last miles that crisscross the country. Every moment of downtime matters which is why Zinier exists. Zinier empowers organizations to work smarter from the main office to the field to solve problems quickly fix things before they break and keep people in the rhythm of their days.
To do this Zinier has created a scalable platform powered by AIdriven insights and intelligent automation that helps field service teams work smarter better faster and more efficiently. We help organizations automate routine tasks so the people in the field can focus on putting their expertise to work. We work with customers in telecom and energy.
Job Summary:
We are seeking a Performance Engineer with 4 years of experience to design implement and optimize scalable highperformance systems on AWS and Kubernetes. The ideal candidate will have expertise in performance testing monitoring and troubleshooting distributed applications while ensuring reliability scalability and efficiency in product and platform
Required Skills:
Performance Testing & Benchmarking:
- Design develop and execute performance load stress and endurance tests for our product.
- Minimum of 4 6 years of relevant work experience with performance testing on web and mobile applications
- Define performance SLAs SLOs and KPIs to measure system efficiency.
- Simulate realworld traffic scenarios to analyze system behavior under peak loads.
- Identify performance bottlenecks conduct root cause analysis and recommend optimizations.
Infrastructure & Application Performance Optimization:
- Optimize Kubernetes cluster performance resource allocation pod scheduling and autoscaling.
- Tune AWS services such as EC2 RDS DynamoDB S3 and Cloud Front for optimal performance.
- Improve database performance by analyzing slow running query indexing strategies and caching.
Monitoring & Observability:
- Endtoend performance monitoring using Prometheus Grafana
- Automate alerts for latency resource utilization and request failures.
- Continuously analyze production performance data to proactively prevent performance degradation.
Collaboration & Troubleshooting:
- Work closely with backend engineers SREs and DevOps to finetune system performance.
- Provide insights for capacity planning and costoptimized scaling strategies.
- Document best practices performance guidelines and optimization strategies.
Required Skills & Experience:
- Performance Testing & Engineering: Load testing stress testing capacity planning Cloud Technologies: AWS
- Containerization & Orchestration: Kubernetes Docker
- Monitoring & Observability: Prometheus Grafana
- Scripting & Automation: Python Java Golang or equivalent Performance Testing Tools: JMeter Database Performance Optimization: SQL tuning indexing caching strategies Networking & Security: API Gateway Load Balancers
Employment Type
Full-Time
Department / Functional Area
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