Senior Performance Test Engineer

About Us

Auditoria is an AI-driven SaaS automation provider for corporate finance that automates back-office business processes involving tasks, analytics, and responses in Vendor Management, Accounts Payable, Accounts Receivable, and Planning. By leveraging natural language processing, artificial intelligence, and machine learning, Auditoria removes friction and repetition from mundane tasks while automating complex functions and providing real-time visibility into cash performance. Corporate finance and accounting teams use Auditoria to accelerate business value while minimizing heavy IT involvement, improving business resilience, lowering attrition, and accelerating business insights.

Founded in 2019 and backed by Venrock, Workday Ventures, Neotribe Ventures, Engineering Capital, and Firebolt Ventures, we build intelligent automation by combining fine-grained analytical orchestration of a company’s typical financial and audit workflows with conversational AI, delivering rapid value to the finance/audit office.

In 2021, Auditoria earned industry recognition by being named to the Intelligent Apps Top 40 List, SSON’s Shared Services & Outsourcing Impact Awards, the Constellation Research ShortList for AI-Driven Cognitive Applications, HFS Research Hot Vendors, 2021 CRN Emerging Vendors List, TiE50 Award, and the winner of the inaugural Pitch Event by Constellation Research.

Since then, Auditoria was again named to the Constellation ShortList for a record four consecutive years (‘20, ‘21, ‘22, ‘23). In 2022, Gartner named Auditoria a “Cool Vendor in Finance,” a curated list of solutions that challenge the traditional finance software market. In 2023 CRN once again recognized Auditoria as a Finalist for the CRN Tech Innovators Award. The SaaS Awards named Auditoria as a 2023 SaaS Awards Finalist for Best SaaS for Improved Productivity (USA). Most recently Auditoria was named a finalist for the 2023 SSON Impact Awards for Technology of the Year.

Job Description

We are looking for an experienced Performance Test Engineer with Automation QA experience of 7+ and at least 3+ years of Performance Testing , including load, stress, scalability, and endurance testing. The ideal candidate should be proficient in modern performance testing tools, infrastructure capacity planning, and cloud-based performance optimization. Strong analytical skills, scripting capabilities, and collaboration with cross-functional teams are essential for success in this role.

Responsibilities

• Design, develop, and execute performance test plans and strategies for web-based applications.
• Conduct load, stress, scalability, and endurance testing to ensure system stability and reliability.
• Identify performance bottlenecks, analyze test results, and recommend optimizations.
• Utilize performance testing tools like JMeter, LoadRunner, Gatling, k6, or similar.
• Work closely with developers, DevOps, and QA teams to enhance system performance.
• Develop and maintain performance test scripts and automation frameworks.
• Set up and configure performance engineering environments and conduct infrastructure capacity planning.
• Perform API performance testing and assess concurrency impacts while simulating real-world data loads.
• Create and manage performance dashboards using logging tools like ELK (Elasticsearch, Logstash, Kibana).
• Stay up to date with the latest performance testing trends, tools, and best practices.

Required Skills

• Performance Test Engineer with Automation QA experience of 7+ and at least 3+ years of Performance Testing for web-based applications.
• Hands-on experience with at least one of the following performance testing tools (JMeter, LoadRunner, Gatling, k6, etc.).
• Strong understanding of performance metrics, response time analysis, and system bottlenecks.
• Experience in any of public clouds like AWS, Azure, GCP.
• Ability to set up and configure performance testing environments.
• Expertise in infrastructure capacity planning.
• Knowledge of API performance testing and data mocking for concurrency testing.
• Proficiency in scripting languages such as Python or similar.
• Experience with CI/CD pipelines for automated performance testing.
• Experience in monitoring and logging tools like ELK or similar platforms.
• Excellent problem-solving skills, analytical abilities, and communication skills.

Preferred Qualifications

• Bachelor’s degree (E/B.Tech) in Computer Science, Information Technology, or a related field (4-year program required).
• Knowledge of database performance testing.
• Exposure to AI/ML applications is a plus.
• Experience in the FinTech domain is preferred.

If you’re passionate about performance testing and eager to work with cutting-edge technologies in a dynamic team, we’d love to hear from you!

Benefits

• Fast paced learning environment and AI / ML learning
• Great culture and flexible leave policies.
• Healthcare insurance for immediate family
• ESOPs
• Hybrid Structure – WFO + WFH