Senior SDET – Performance Engineering

BETSOL; Pune District; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Doist is seeking a Senior SDET focused on Performance Engineering in a cloud-native Azure environment. You will drive scalability, reliability, and performance validation across distributed microservices, designing automated frameworks and simulators.

Collaborate with engineering, architecture, and SRE to ensure production-grade resilience. You will define KPIs, tune Azure services, implement observability with Prometheus and Grafana, and contribute to capacity planning and scalability

Qualifications

• Experience in designing automated performance frameworks for cloud-native microservices.
• Strong background in performance validation, load testing, and reliability engineering.

Responsibilities

• Design end-to-end performance and load testing strategies for microservices-based systems.
• Build simulators, traffic generators, and mocks for complex dependencies.
• Define, measure, and track KPIs (latency, throughput, error rate, saturation).
• Develop 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 to optimize performance.

Skills

Performance testing

SDET

CI/CD pipelines

Jenkins

GitHub Actions

GitLab CI

Prometheus

Grafana

Azure AKS

Observability

Tools

Jenkins

GitHub Actions

GitLab CI

AKS

Redis

MariaDB

MySQL

Chaos Monkey

Job description

Role Overview

We are looking for a Senior SDET specializing in Performance Engineering in a cloud-native Azure environment. 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.

Key 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