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Lead Software Engineer – Performance Engineering

Lead Software Engineer – Performance Engineering

Chargebeethane, India
1 day ago
Job description

About the job

As a Lead Software Engineer – Performance Engineering , you will drive the strategy, design, and execution of performance engineering initiatives across highly distributed systems. You will lead technical efforts to ensure reliability, scalability, and responsiveness of business-critical applications. This role requires deep technical expertise, hands-on performance testing experience, and the ability to mentor engineers while collaborating cross-functionally with architecture, SRE, and development teams.

Responsibilities :

  • Define, implement, and enforce SLAs, SLOs, and performance benchmarks for large-scale systems.
  • Lead performance testing initiatives including load, stress, soak, chaos, and scalability testing.
  • Design and build performance testing frameworks integrated into CI / CD pipelines.
  • Analyze application, infrastructure, and database metrics to identify bottlenecks and recommend optimizations.
  • Collaborate with cross-functional teams to influence system architecture and improve end-to-end performance.
  • Guide the implementation of observability strategies using monitoring and APM tools.
  • Optimize cloud infrastructure (e.g., autoscaling, caching, network tuning) for cost-efficiency and speed.
  • Tune databases and messaging systems (e.g., PostgreSQL, Kafka, Redis) for high throughput and low latency.
  • Mentor engineers and foster a performance-first culture across teams.
  • Lead incident response and postmortem processes related to performance issues.
  • Drive continuous improvement initiatives using data-driven insights and operational feedback.

Required Qualifications :

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 8+ years of experience in software / performance engineering, with 2+ years in a technical leadership role.
  • Expertise in performance testing tools such as JMeter, k6, Gatling, or Locust.
  • Strong knowledge of distributed systems, cloud-native architecture, and microservices.
  • Proficiency in scripting and automation using Python, Go, or Shell.
  • Experience with observability and APM tools (e.g., Datadog, Prometheus, New Relic, AppDynamics).
  • Deep understanding of SQL performance, caching strategies, and tuning for systems like PostgreSQL and Redis.
  • Familiarity with CI / CD pipelines, container orchestration, and IaC tools (e.g., Kubernetes, Terraform).
  • Strong communication skills and experience mentoring and leading technical teams.
  • Ability to work cross-functionally and make informed decisions in high-scale, production environments.
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