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DevOps Engineer

HRS Group

Sahibzada Ajit Singh Nagar, Punjab, India · Full Time

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Experience
5+ yrs
Salary
—
Openings
1
Posted
3 days ago
Work mode
In office
Education
Bachelor's degree in Computer Science or related field
Resume
Required to apply

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Job description

About HRS Group

HRS is a pioneer in business travel with over five decades of experience, specializing in digital platforms powered by ProcureTech, TravelTech, and FinTech to revolutionize lodging procurement, corporate travel experiences, and digital payments. Serving over 35% of the global Fortune 500 and key hotel chains, HRS focuses on innovation and creating superior customer value through scalable technology.

Business Unit

The AI Workflow team at HRS transforms customer support by leveraging advanced AI to speed up responses and enable personalized, seamless interactions across channels. The goal is to allow customers to resolve issues independently while freeing support agents to address complex problems, continuously enhancing service quality through real-time insights.

Position Overview

We are looking for a Cloud Infrastructure Engineer specializing in AWS to design, implement, and manage the scalable, secure, and high-performance cloud infrastructure powering our AI-based support platform. This role demands expertise in AWS cloud services, infrastructure as code, container orchestration, CI/CD, and integrating multi-vendor SaaS applications.

Key Responsibilities

  • Architect and deploy scalable AWS cloud infrastructure tailored for AI-driven customer support.
  • Integrate various SaaS products including call center, chat, email, CRM, and logging systems.
  • Develop Infrastructure as Code using Terraform or CloudFormation and maintain it.
  • Create and refine CI/CD pipelines for effective application deployment and delivery.
  • Manage containerization using Docker and Kubernetes for a microservices architecture.
  • Continuously monitor and optimize cloud usage and application performance.
  • Implement detailed monitoring and logging systems across infrastructure and SaaS platforms.
  • Apply security best practices on cloud and SaaS platforms, ensuring compliance.
  • Optimize cost management of cloud infrastructure resources.
  • Automate infrastructure and deployment processes as well as SaaS integration workflows.
  • Design and maintain disaster recovery and backup plans for critical systems and SaaS integrations.
  • Manage API gateways, service meshes, and API management platforms for secure SaaS communication.
  • Facilitate data integration and orchestrate workflows connecting SaaS, AI platform, and internal systems.
  • Lead AWS-centric cloud strategies, leveraging AWS as the main infrastructure while integrating selective external SaaS tools.
  • Implement Identity and Access Management solutions, including federated identity and single sign-on across cloud and SaaS services.
  • Deploy comprehensive observability and monitoring solutions with distributed tracing and log aggregation for end-to-end visibility.

Required Qualifications and Experience

  • Bachelor's degree in Computer Science, IT, or related fields.
  • AWS certifications such as Certified Solutions Architect, SysOps Administrator, DevOps Engineer, or Kubernetes Administrator (CKA) certification preferred.
  • At least 5 years' professional experience working extensively with AWS cloud infrastructure.
  • Hands-on expertise designing, deploying, and managing Kubernetes workloads on Amazon EKS with production-grade reliability.
  • Experience deploying and maintaining machine learning applications using AWS services and container platforms.
  • Proven ability supporting agentic AI applications including integration with large language models, secure API frameworks, and workflow automation.
  • Strong proficiency in Infrastructure as Code tools like Terraform and CloudFormation, along with version control systems.
  • Competency in DevOps practices and CI/CD tools such as Jenkins or GitLab CI.
  • Experience managing container technologies including Docker and Kubernetes orchestration.
  • Familiarity with monitoring tools like New Relic and AWS CloudWatch and advanced logging systems.
  • Capability to automate with scripting languages like Python or Bash.
  • Solid understanding of cloud security principles and regulatory compliance.
  • Excellent analytical, troubleshooting, and communication skills to support cross-functional collaboration.
  • Work experience in agile development environments with fast deployment cycles.

Additional Information

This role offers a competitive salary aligned with the market and includes all necessary work equipment as standard provisions.

Minimum education

Bachelor's Degree

Tools & software

Docker required Kubernetes · 2 to 5 years required Amazon Web Services AWS required Jenkins CI required Terraform required

How they work

Communication Teamwork & Collaboration Problem Solving Adaptability
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