Salary
≈ $16k – $41k per year (Estimated)
Location
In office (Pune)
Seniority
Senior
Confirmed on the employer's own hiring board on Oct 4, 2026. First seen by Alion on Oct 3, 2026.
Overview
Company
Impact
Profile match
Trusted data and AI innovation that provides knowledge in the moments that matter. We help organizations across industries make trusted decisions with AI.
Software Performance Engineers benchmark high-demand SAS solutions across on-premises and cloud environments to validate scalability and performance. Together, they provide technical insights, benchmark assets, and best practices that support global Sales, Marketing, and customer engagement efforts.
Benchmark Team
- Collaborate with R&D, Consulting, Sales, and Pre-sales to define customer-like benchmark scenarios for small, medium, and large environments.
- Translate project objectives (test cases, data samples, user personas, proper execution methods, etc.) into structured project plans, including deliverables, and timelines.
- Execute benchmarks using technical expertise and cross-functional collaboration; analyze results and refine testing strategies to ensure accuracy and repeatability.
- Author performance briefs, best practices, and white papers using internal/external tools; support sales with performance insights.
- Proactively identify and resolve project roadblocks; maintain schedule alignment with stakeholders.
- Support team success by reviewing peer work, sharing feedback, and fostering collaboration.
Technical Skills
- Performance testing of large-scale distributed applications
- Tools: Playwright/Locust/Python - Jmeter and other performance testing tools a plus
- Programming & Scripting: Python, SQL, SAS, Bash/Kornshell - PowerShell and other languages a plus
- Monitoring & diagnostics: Prometheus, Grafana, ESM, NMON, FIO, PerfMon, SysInternals, IOSTAT, IOMeter, NETSTAT, VMSTAT, TOP (AppDynamics, Dynatrace, Datadog a plus)
- System administration (Linux, Windows Server), Storage systems (SAN, NAS, NFS, Storage protocols (FCoE, Fibre Channel, CIFS, JBOD)
- Cloud & Containerization: Experienced with Azure AKS, AWS, GCP, and Kubernetes.
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