1 day ago
Bengaluru, IndiaSenior
Responsibilities
- Develop and maintain scalable performance-testing frameworks that enable product teams to independently design, execute, and analyze tests.
- Define NFRs, SLAs/SLOs, workloads, volumes, success criteria, and performance objectives with product and engineering teams.
- Build internal tools and AI-driven solutions for test orchestration, analysis, and reporting.
- Design and execute load, stress, spike, and soak tests, including scenario modeling, correlation, parameterization, and test-data management.
- Lead root-cause analysis and troubleshooting across HTTP/API, application, database, cloud, Kubernetes, and infrastructure layers.
- Conduct change-impact and performance-risk assessments for features, architecture changes, and releases.
- Use Splunk, Dynatrace, and other observability tools to monitor services, analyze performance, and create dashboards and alerts.
- Collaborate with platform and cloud teams to optimize AKS, KEDA, infrastructure capacity, and overall system performance.
- Support capacity forecasting, resilience testing, synthetic monitoring, and distributed load testing.
- Produce test reports, executive summaries, recommendations, risk assessments, and Go/No-Go recommendations.
- Define and improve performance engineering standards, frameworks, and governance across product teams.
- Coach and mentor engineers and connect performance insights to customer journeys, business KPIs, and product outcomes.
Requirements
- 6+ years of experience in performance or reliability engineering within high-traffic, distributed systems.
- Strong experience defining NFRs, workload models, SLAs/SLOs, and performance requirements.
- Hands-on expertise with k6, JMeter, LoadRunner, or similar performance-testing tools.
- Strong understanding of APIs, microservices, databases, event-driven systems, networking, and cloud-native architectures.
- Proven ability to troubleshoot complex performance and reliability issues across the technology stack.
- Strong Python, Bash, JavaScript, or similar scripting and automation skills.
- Experience with Git, automated performance testing, and performance gates.
- Experience with Splunk, Dynatrace, SignalFx, or comparable observability tools.
- Experience with Kubernetes/AKS, CDN/caching, synthetic monitoring, capacity planning, resilience testing, and performance analysis.
- Ability to connect technical performance work to product and business outcomes and communicate with diverse stakeholders.
- Experience coaching and mentoring engineers and driving improvements in performance engineering maturity, scalability, and reliability.
- Comfort working in an Agile environment.
Benefits
- Full-time position with extensive development opportunities around the globe.
- Staff discount card usable across H&M brands in stores and online.
- Applications must be submitted through SmartRecruiters or the H&M career page, with a CV in English; cover letters are not requested.
Tech Stack
Categories
About H&M Group
H&M Group is a public Swedish retail company that designs and sells fashion, beauty, and homeware across multiple brands, including H&M, COS, Monki, Weekday, ARKET, and & Other Stories. It serves consumers worldwide through around 4,700 stores in 76 markets and extensive e‑commerce. Founded in 1947 and headquartered in Stockholm, the group focuses on sustainability and circular design in its supply chain.