Aisera is a leading provider of AI Copilot solutions, utilizing AiseraGPT and Generative AI to facilitate business transformation and drive revenue growth through a self-service model. Aisera’s AI Copilot uses industry and domain-specific LLMs to deliver human-like experiences and auto-remediate requests through AI workflows. With 400+ integrations and 1200+ prebuilt workflows, customers achieve 75%+ automation and 90% cost reduction.
Aisera has received numerous recognitions, including the following: FastCompany Best Workplaces for Innovators; Inc 5000 Award for Fastest Growth; Forbes AI50; EY Entrepreneur of the Year 2023; CNBC Upstart 100 Top Startup; Gartner Cool Vendor; Red Herring Top 100 Global Innovator; CIO Innovation Startup Award; CIO Review Top ITSM Solution; and Silicon Review 50 Most Admired Companies.
Our seasoned founding team has led companies through several prior successful startups and acquisitions. We give our employees a lot of responsibility and ownership of their work, and we hire people from a very wide range of backgrounds and experience. Our team members operate with a high degree of empathy for our customers and each other.
Join our dynamic and fast-paced team and be a part of our journey to revolutionize the industry.
The Role:
The Senior Performance Engineer will be responsible for ensuring that our software systems and applications operate with high performance, reliability, and efficiency. This role requires a strong understanding of system architecture, load testing, performance tuning, and monitoring, along with hands-on experience in identifying and resolving performance bottlenecks. The ideal candidate will have a deep technical understanding of Performance engineering, a strategic mindset, and strong communication skills to effectively collaborate with cross-functional teams.
This role is based out of our Palo Alto, CA office, and an Onsite interview is required as part of the process.
Responsibilities:
Performance Testing & Analysis:
- Design, develop, and execute performance tests to simulate load, stress, and scalability scenarios.
- Monitor system and application performance using tools such as JMeter and/or Gatling.
- Collect, analyze, and interpret performance metrics to identify bottlenecks or degradation points.
Optimization & Tuning:
- Collaborate with development teams to optimize code, algorithms, and data access patterns.
- Configure and tune databases, applications, and web services to meet performance goals.
- Analyze infrastructure components (CPU, memory, network) and recommend adjustments for optimal performance.
System Architecture Review:
- Participate in design and architecture reviews to incorporate performance considerations early in the development lifecycle.
- Recommend architectural improvements to improve scalability, latency, and throughput.
- Work with DevOps and infrastructure teams to ensure systems are well-architected for performance and scale.
Monitoring & Troubleshooting:
- Implement real-time performance monitoring solutions to proactively detect performance issues.
- Collaborate with incident response teams to resolve performance-related production incidents.
- Conduct root cause analysis for performance issues and recommend corrective actions.
Documentation & Reporting:
- Document performance test cases, results, and optimization techniques for team reference.
- Create regular performance reports and dashboards to provide visibility into application performance.
- Present findings and recommendations to stakeholders, including engineers, product managers, and executive leadership.
Basic Qualifications:
- 5+ years of experience in performance engineering or a related field.
- Proven experience with performance testing tools (e.g., JMeter and/or Gatling) and monitoring solutions (e.g., Grafana, Prometheus, New Relic).
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
- Proficient in one or more programming languages (e.g., Java, Python).
- Solid understanding of network protocols, databases, and web application architectures.
- Familiarity with CI/CD pipelines, automation, and deployment practices.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills to work effectively across teams.
- Ability to manage multiple projects and prioritize tasks effectively.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Preferred Qualifications:
- Certified Performance Testing Professional
- Startup experience
- Experience with Enterprise SaaS Products
Aisera is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.
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At Aisera, we strive to design equitable and explainable compensation programs. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience.
Bay Area, CA
$125,000—$175,000 USD
Top Skills
What We Do
Aisera is a leading provider of enterprise Generative AI apps and a platform that helps enterprises accelerate revenue growth, improve user productivity, lower costs, and create magical user experiences.
Our products - AiseraGPT, AI Copilot, AI Search, and Agent Assist - are built on our Generative AI Platform that serves as the fundamental building block for enterprise GenAI applications. Aisera leverages a TRAPS framework (Transparent, Responsible, Auditable, Privacy, and Secure) to meet stringent data governance requirements while adhering to the highest standards of Responsible AI.
Aisera products deliver human-like interactions with a multi-modal interface, providing contextually rich conversations that boost user productivity. With pre-trained, domain-specific LLMs grounded in customer data, our products offer higher accuracy, fewer hallucinations, and increased resolution rates. They address critical industry challenges, spanning a wide range of solutions, including AI-driven software engineering, code generation, content and knowledge creation, workflow automation, and natural language AI-powered analytics.
AiseraGPT automates knowledge retrieval and repetitive tasks, while AI Copilot serves as a personal companion for answering questions, analyzing data, and completing tasks. Agent Assist provides real-time assistance for agents, including case summarization, recommendations, and next best actions, through an embedded UI widget in SaaS applications like ServiceNow, Salesforce, Workday, and more. Aisera’s AI Search allows users to perform secure, private, and permissions-aware enterprise-wide searches using natural language, generating answers, summaries, and micro-actions to boost efficiency.
Aisera provides a Universal Bot with a unified interface to resolve user requests across all domains, including Engineering, HR, IT, Sales, Marketing, Customer Service, Life Sciences, Healthcare, Financial Services, and Retail. Aisera compliments these offers with action bots that are built-in with customizable AI Workflows through an Event and Visual Studio to take action and automate business processes.
Aisera technology is based on an Agentic and reasoning architecture that can perform intentless and intent-driven natural language requests across unstructured and structured databases, business apps, and systems of records. Users benefit from a default large context window, personalized responses, and summarizations.
