Job Description

About the Role
We are looking for a Senior SDET specializing in Performance Engineering in a cloud-native Azure workplace. This role focuses on driving scalability, reliability, and performance validation across distributed microservices systems. The candidate will design automated performance frameworks, build simulators and mocks, define KPIs, and partner with engineering, architecture, and SRE teams to ensure production-grade resilience.

Responsibilities

- Design and implement end-to-end performance and load testing strategies for microservices-based systems
- Build custom simulators, traffic generators, and mocks for complex system dependencies
- Define, measure, and track performance KPIs (latency, throughput, error rate, saturation, scalability limits)
- Develop fully automated performance test frameworks integrated into CI/CD pipelines (Jenkins, GitHub Actions, GitLab)
- Execute load, stress, spike, endurance, and chaos testing
- Collaborate with architects, developers, product owners, and SRE teams to optimize system performance
- Analyze bottlenecks across application, database, and infrastructure layers
- Work closely with Azure services (AKS, compute, storage, networking) for performance tuning
- Implement observability using Prometheus, Grafana, and APM tools
- Optimize Redis caching, database queries (MariaDB, MySQL, etc), and messaging systems




- Support resilience engineering and chaos testing (Chaos Monkey or equivalent)
- Drive RCA for performance issues and production incidents
- Contribute to capacity planning and scalability strategy

Looking For

- 10+ years experience in QA, development and automation, with strong focus on performance engineering

Mandatory Skills

A. Technical Skills

- Strong experience in performance testing tools (K6, JMeter, Gatling, and creating custom frameworks)
- Proficiency in scripting (Python, C#, Java, or similar)
- Deep understanding of distributed systems and microservices architecture
- Hands-on experience with Kubernetes (AKS preferred)
- Strong knowledge of Azure cloud ecosystem
- Experience with CI/CD and DevOps practices
- Understanding of SRE principles (SLI/SLO, error budgets)
- Experience with observability and monitoring tools
- Strong database performance tuning expertise

B. Soft Skills

- Excellent written and verbal English
- Calm, structured communication with both engineers and non-technical stakeholders.
- Strong problem-solving and systems thinking.
- Ownership mindset and clear accountability for outcomes.

Good to Have Skills

- Experience in contact center / SaaS platforms
- Exposure to Kafka, RabbitMQ
- Knowledge of AIOps, AI-driven testing and anomaly detection
- Experience building custom performance tools or simulators

📌 Senior SDET – Performance Engineering (Pune)
🏢 BETSOL
📍 Pune