Why This Job is Featured on The SaaS Jobs
This Performance Engineer role sits at a core SaaS concern: keeping a cloud platform dependable under real customer load. Zinier describes a scalable, AI driven field service platform used in telecom and energy, where downtime has direct operational impact. That context makes performance work less about isolated benchmarks and more about end to end service behavior across AWS, Kubernetes, and data layers.
For a SaaS career, the remit maps closely to how modern products are operated at scale. Defining SLAs and SLOs, building realistic traffic models, and translating production telemetry into tuning decisions are durable skills across B2B platforms. The combination of performance testing, observability, and capacity planning also builds fluency in how engineering choices influence reliability and cost as usage grows.
The position is best suited to engineers who prefer measurable outcomes and structured investigation, moving from symptoms to root causes using metrics and experiments. It will appeal to someone comfortable collaborating across backend, SRE, and DevOps functions, and who enjoys improving systems through repeatable tooling, automation, and documented practices rather than one off fixes.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
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 isn’t 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 criss-cross 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 AI-driven 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, high-performance 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 real-world 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 execution, indexing strategies, and caching.
Monitoring & Observability:
- End-to-end 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 fine-tune system performance.
- Provide insights for capacity planning and cost-optimized 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
