What we do: AI Service Experience Platform
Heard of ChatGPT? Its advanced LLMs with generative AI capabilities allow for seamless understanding and creation of human-like responses. In the enterprise space, Aisera is the “Enterprise ChatGPT” solution!
Aisera, the leading provider of Generative AI and AI Copilot solutions with AiseraGPT, facilitates business transformation by enabling self-service and driving revenue growth. Aisera’s AI Copilot, a universal bot, leverages industry and domain-specific LLMs in IT, HR, Customer Service, Contact Centers, Sales & Marketing, and Finance to deliver delightful human-like experiences. With over 400+ integrations and 1200+ prebuilt and third-party service catalogs supporting AI Workflows, customers typically achieve automation rates of 75% or higher in user requests, resulting in an impressive 80% reduction in operations costs.
Aisera is recognized as a leader in multiple industry analyst reports, including Forrester.
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.
The Cloud Database Engineer will be responsible for the day-to-day management, optimization, and maintenance of the company’s cloud-based databases. This role requires a hands-on professional who can implement, configure, and troubleshoot cloud databases, ensuring optimal performance, reliability, and scalability. The ideal candidate should be comfortable with both relational and NoSQL databases, serverless or server-based, and ideally also search engines. They will have experience in automating database management tasks in a cloud environment.
Key Responsibilities:
• Database Setup and Configuration: Install, configure, and maintain cloud-based databases (relational and NoSQL, or serveless services) to meet the business’s needs for performance and scalability with cost-optimization.
• Performance Tuning: Continuously monitor and optimize the performance of cloud databases, adjusting configurations, indexing strategies, and storage to ensure high-speed data access.
• Monitoring & Maintenance: Set up database monitoring systems to ensure uptime, detect issues proactively, and respond to any outages or failures promptly.
• Backup and Recovery: Implement and manage backup strategies, ensuring that data is recoverable and systems are resilient to outages or failures.
• Automation of Operations: Automate routine database management tasks like backups, scaling, failover, and patching using cloud tools (e.g., AWS Lambda, Azure Automation).
• Security Management: Work closely with the security team to ensure data is stored securely, manage encryption, and implement access control policies.
• Collaboration with Cloud Data Architect: Work closely with the Cloud Data Architect to ensure that the implementation aligns with the overall data strategy and architectural goals.
Required Skills and Qualifications:
• Cloud Database Experience:
Strong knowledge of cloud-native databases and services such as Amazon RDS, Google Cloud SQL, Azure Cosmos DB, and Redshift.
• Database Management:
Experience with database administration tasks such as patching, backups, monitoring, and disaster recovery.
• Performing Tuning Skills:
Proficient in performance tuning, indexing strategies, and query optimization for both relational and NoSQL databases.
• Automation Experience:
Hands-on experience with scripting and automation tools in the cloud (e.g., Python, Bash, Terraform).
• Troubleshooting:
Strong analytical and problem-solving skills for diagnosing and resolving database-related issues.
• Collaboration Skills:
Ability to work with architects, engineers, and DevOps to ensure smooth database operations.
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.
