Senior SDET/Lead SDET

Posted 21 Days Ago
Be an Early Applicant
Hyderabad, Telangana
5-7 Years Experience
Artificial Intelligence • Fintech • Information Technology • Productivity • Software • Conversational AI • Generative AI
Aisera: ChatGPT and AI Search for the Enterprise
The Role
As a Software Development Engineer in Test (SDET) at Aisera, you will design and implement automation frameworks, develop and maintain test scripts, execute manual and automated tests, participate in test planning, and collaborate with the development team to provide thorough test coverage.
Summary Generated by Built In

Aisera offers the world's first AI-driven service experience solution that automates operations and support for IT, Sales and customer service, making businesses and customers successful by offering consumer-like self-service resolutions to users. Aisera fast tracks the digital transformation journey with user and service behavioral intelligence that drives end-to-end automation of tasks, actions, and business processes. We are a top-tier, VC-funded startup headquartered in Palo Alto, Calif. and a strategic partner with AWS, Microsoft Azure, Google Cloud, ServiceNow and Salesforce.

Aisera has received numerous recognitions, including the following: Forbes AI50; CNBC Upstart 100 Top Startup; Gartner Cool Vendor; Red Herring Top 100 Global Innovator; CIO Innovation Startup Award; CIO Review Top ITSM Solution; Aragon Research Hot Vendor; TiE50 Startup Award; and Silicon Review 50 Most Admired Companies.

Join our dynamic and fast-paced team and be a part of our journey to revolutionize the industry.

The Role: 

We are seeking a talented and experienced Quality Engineer to join our dynamic team. As a Sr SDET, you will be responsible for Design and implement automation framework across platforms.

This role is based out of our Hyderabad office.

Responsibilities:

    • Design and implement automation framework that work across multiple platforms
    • Develop new test scripts
    • Maintain existing tests scripts/regression suites and executing them
    • Participate in test planning and test case design
    • Execute manual test cases to identify and report defects.
    • Create and maintain detailed test documentation
    • Collaborate with the development team to ensure thorough test coverage.
    • Perform regression testing to validate bug fixes and enhancements.


    Requirements:

    • Bachelor's degree in Computer Science, Computer Engineering or similar technical field

    • 5-12 year's of automation experience using Java and Selenium

    • Good experience in core Java development

    • Good experience with UI automation using Selenium WebDriver

    • Experience with open source QA tools – Selenium, Cucumber, TestNG

    • Experience with using BDD tools like Cucumber or JBehave

    • Experience of working with REST, GRPC or any other similar services

    • Well experienced in API automation testing of REST API using REST ASSURED or (similar)

    • Develop, maintain and execute automated test scripts using Selenium

    • Good to have knowledge on Maven, GIT and Jenkins

    • Should be able to develop framework related functions and reusable libraries

    • Good to have knowledge on any performance testing tools like (JMeter)

    • Ability to work both independently and in a collaborative environment

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.


Top Skills

Java
The Company
HQ: Palo Alto, CA
265 Employees
On-site Workplace
Year Founded: 2017

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.

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