HRS→
DevOps Engineer at HRS in Mohali Office
Job Description
Title- DevOps Engineer
Location- Mohali, India
HRS AS A COMPANY
HRS, a pioneer in business travel, aims to elevate every stay through innovative technology. With over 50 years of experience, their digital platform, driven by ProcureTech, TravelTech, and FinTech, transforms how companies and travellers Stay, Work, and Pay.
ProcureTech digitally revolutionises lodging procurement, connecting corporations and suppliers in a cutting-edge ecosystem. This enables seamless efficiency and automation, surpassing travelers' expectations.
TravelTech redefines the online lodging experience, offering personalised content from selection to check-in, ensuring an unparalleled journey for corporate travellers.
In FinTech, HRS introduces advancements like mobile banking and digital payments, turning corporate back offices into touchless lodging enablers, eliminating legacy cost barriers. The innovative 2-click book-to-pay feature streamlines interactions for travellers and hoteliers.
Combining these technology propositions, HRS unlocks exponential catalyst effects. Their data-driven focus delivers value-added services and high-return network effects, creating substantial customer value.
HRS's exponential growth since 1972 serves over 35% of the global Fortune 500 and leading hotel chains.
Join HRS to shape the future of business travel, empowered by a culture of growth and setting new industry standards worldwide.
BUSINESS UNIT
The HRS AI Workflow team serves as a pivotal force in transforming customer support by harnessing the power of advanced AI technologies. Our primary goal is to enhance customer satisfaction by providing swift, intelligent solutions to inquiries, ensuring a seamless experience across all channels. By focusing on proactive support and personalised interactions, we empower customers to resolve issues autonomously, significantly reducing response times and minimising frustration. Through continuous improvement and real-time insights, the AI Workflow team plays a crucial role in elevating service quality, allowing our support agents to concentrate on complex tasks that drive operational excellence and foster innovation.
POSITION
We are seeking a Cloud Infrastructure Engineer to architect, implement, and maintain our AWS-centered cloud infrastructure. This role is vital in ensuring the scalability, reliability, security, and performance of our AI-driven customer support platform. The Cloud Infrastructure Engineer must have strong hands-on experience with AWS and will be responsible for designing and managing AWS cloud resources, implementing infrastructure as code, and establishing robust CI/CD pipelines. This position requires deep expertise in AWS cloud technologies and DevOps practices to support our mission of delivering exceptional customer service through technological innovation.
PERSPECTIVE
HRS is, at its heart, a platform company. To provide the market-leading Lodging-as-a-Service platform, we hire people with a broad set of technical skills (and from a wide variety of backgrounds) who are ready to take on some of the most challenging problems in the industry – from reliably handling 100M API requests per day, to building adaptive machine learning as a result of years of data science and infrastructure work, and enabling corporates worldwide to create a unique lodging experience for their employees.
We look at HRS as a constant work in progress and the same is true of our people; for all of us, we believe the best is yet to come. We’re here to support each other in our curiosity and creativity – which we pursue through thoughtful discussion and knowledge-sharing among a diverse set of peers and colleagues.
We’re a highly cross-functional organisation and view that as part of the fun: we design our space to encourage as much collaboration as possible. We also have a culture of transparency that we carry through to communication, ensuring that colleagues all around the world have the information they need to make good local decisions.
CHALLENGE
Cloud Architecture: Design and implement scalable cloud infrastructure including AWS services to support our AI-driven support platform. Integrate multi-vendor SaaS solutions for call centers, chat platforms, email services, CRMs, and product log systems.
Infrastructure Management: Develop and maintain infrastructure as code (IaC) using tools like Terraform or CloudFormation.
Pipeline Development: Create and optimize CI/CD pipelines to ensure efficient deployment and delivery of applications.
Container Orchestration: Manage containerization strategies using Docker and Kubernetes for microservices architecture.
Performance Optimization: Monitor and optimize cloud resource utilization and application performance.
Monitoring Implementation: Set up comprehensive monitoring and logging systems for infrastructure, applications, and integrated SaaS solutions.
Security Integration: Implement cloud security best practices and ensure compliance with security standards across cloud and SaaS platforms.
Cost Management: Optimize cloud resource allocation and manage infrastructure costs effectively.
Automation Development: Create automated solutions for infrastructure management, deployment processes, and SaaS integration workflows.
Disaster Recovery: Design and implement backup and disaster recovery strategies for critical systems and integrated SaaS solutions.
SaaS Integration and API Management: Integrate and manage multiple SaaS solutions using APIs and integration tools. Implement API gateways, service meshes, and API management platforms for secure and reliable communication.
Data Integration and Workflow Orchestration: Enable seamless data flow between SaaS solutions, AI platform, and internal systems using data integration techniques and workflow orchestration tools.
AWS-Centered Cloud Strategy: Design and implement AWS-first cloud architectures, integrating SaaS solutions and selected external systems where required while keeping AWS as the primary infrastructure foundation.
Identity and Access Management (IAM): Implement and manage IAM solutions across multiple cloud providers and SaaS platforms, ensuring secure access control and data privacy. Implement federated identity management and single sign-on (SSO) solutions.
Observability and Monitoring: Set up comprehensive observability and monitoring solutions that span across cloud infrastructure, SaaS solutions, and internal systems, enabling end-to-end visibility and troubleshooting. Utilize distributed tracing and log aggregation tools.
FOR THIS EXCITING MISSION YOU ARE EQUIPPED WITH...
Educational Background: Bachelor's degree in Computer Science, Information Technology, or related field; AWS certifications are required, with preferred examples including AWS Certified Solutions Architect, AWS Certified SysOps Administrator, AWS Certified DevOps Engineer, and Certified Kubernetes Administrator (CKA).
Professional Experience: Minimum 5 years of experience in cloud infrastructure, with a strong focus on AWS services.
AWS Expertise: Deep, hands-on experience with AWS services and best practices for scalable, secure, resilient cloud architecture.
Amazon EKS and Kubernetes: Strong hands-on experience designing, deploying, operating, and optimizing Kubernetes workloads on Amazon EKS, including cluster architecture, node groups, networking, IAM integration, autoscaling, ingress, service mesh, Helm, GitOps, observability, and production-grade reliability practices.
ML Application Deployment: Experience deploying, scaling, and operating machine learning applications in production using AWS-native services, container platforms, CI/CD pipelines, and model-serving best practices.
Agentic Application Infrastructure: Hands-on experience supporting agentic AI applications, including orchestration of AI agents, integration with LLM services, secure API connectivity, workflow automation, observability, and reliable production deployment patterns.
Infrastructure as Code: Strong experience with IaC tools (Terraform, CloudFormation) and version control systems.
DevOps Tools: Proficiency in CI/CD tools (Jenkins, GitLab CI) and practices.
Container Technology: Extensive experience with Docker, Kubernetes, and container orchestration.
Monitoring Skills: Experience with monitoring tools (New Relic, CloudWatch) and log management systems.
Scripting Abilities: Strong scripting skills in Python, Bash, or similar languages for automation.
Security Knowledge: Understanding of cloud security principles and compliance requirements.
Problem-Solving: Excellent analytical and troubleshooting skills for complex infrastructure issues.
Communication: Strong ability to collaborate with cross-functional teams and document technical solutions.
Agile Mindset: Experience working in agile environments with rapid deployment cycles.
LOCATION, MOBILITY, INCENTIVE
The attractive remuneration is in line with the market and, in addition to a fixed monthly salary, all necessary work equipment is provided.