Senior Devops Engineer

Sorry, this job was removed at 04:15 p.m. (CST) on Friday, May 16, 2025
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Hyderabad, Telangana
In-Office
Artificial Intelligence • Fintech • Information Technology • Productivity • Software • Conversational AI • Generative AI
Aisera: ChatGPT and AI Search for the Enterprise
The Role

Senior DevOps Engineer 

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: Fast Company 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 successful startups and acquisitions. We give our employees a lot of responsibility and ownership of their work and hire people from various backgrounds and experiences. Our team members have a high degree of empathy for our customers and each other.

Join our energetic and fast-paced team as we embark on our journey to revolutionize the industry.

The Role: 

We are looking for a skilled DevOps Engineer to join our dynamic team that supports federal customers. The ideal candidate will possess extensive experience in cloud infrastructure management, CI/CD pipeline implementation, and automation. 

This role is based in our Hyderabad, office. 

Responsibilities :

  • Design, build, and maintain CI/CD pipelines to streamline software development and deployment.
  • Manage cloud infrastructure (AWS/Azure) using Infrastructure as Code (IaC) tools like Terraform.
  • Collaborate with development and operations teams to automate and optimize development workflows.
  • Monitor and troubleshoot system performance, ensuring high availability and reliability.
  • Implement security best practices and ensure compliance with federal regulations.
  • Develop and maintain comprehensive documentation for system architecture, processes, and procedures. 

Basic Qualifications:

  • 5+ years of experience as a DevOps Engineer or in a similar role.
  • Experience with cloud platforms such as AWS is required (Azure is a plus).
  • Proficiency in containerization and orchestration tools like Docker and Kubernetes.
  • Strong knowledge of Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools.
  • Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions).
  • Scripting and automation skills using Python or similar languages.
  • Experience with configuration management tools (Helm). 
  • Familiarity with monitoring and logging tools like Prometheus, Grafana, or ELK Stack.
  • Understanding of security best practices and compliance standards for federal systems.
  • A Bachelor’s degree in Computer Science, Engineering, related field, or equivalent work experience.

Preferred Qualifications:

  • It is nice to have Certification in AWS or Azure

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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The Company
HQ: Palo Alto, CA
265 Employees
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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