Staff Site Reliability Engineer

RateGain; Dadri; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

RateGain Travel Technologies Limited is seeking a Senior Site Reliability Engineer to strengthen its AI-powered cloud platform. You will build scalable GCP infrastructure, manage IaC with Terraform, and automate deployments with Kubernetes and CI/CD pipelines.

The role emphasizes reliability, automation, and collaboration with engineering teams to improve performance and availability. The position requires 8+ years in SRE/DevOps, strong scripting skills, and hands-on cloud experience.

Qualifications

• Bachelor's degree in Computer Science or a related technical field.
• 8+ years of experience in Site Reliability Engineering, DevOps, Cloud Engineering, or related roles.
• Extensive hands-on experience with Google Cloud Platform (GCP), Terraform, Kubernetes, and containerized applications.
• Proven experience in managing production infrastructure and improving system reliability.
• Strong experience in infrastructure automation, CI/CD pipelines, monitoring, and cloud security.
• Experience with platform engineering, developing Kubernetes CRDs and operators, and implementing AIOps solutions.
• Hands-on experience with Python, Shell scripting, or Go.
• Experience working in fast-paced, cloud-native, and AI-driven engineering environments.
• Certifications in Cloud, Kubernetes, or CNCF will be an added advantage.
• Familiarity with AI development tools such as Cursor, ChatGPT, Gemini, and Claude is desirable.

Responsibilities

• Design,build, and maintain scalable cloud infrastructure on Google Cloud Platform (GCP).
• Implement and manage Infrastructure as Code (IaC) using Terraform to automate provisioning.
• Optimize cloud infrastructure for performance, availability, security, and cost efficiency.
• Troubleshoot production issues and ensure business continuity.
• Deploy, manage, secure, and monitor containerized applications on Kubernetes.
• Build and maintain Kubernetes clusters with high availability and reliability.
• Develop and maintain Kubernetes CRDs and operators to automate workflows.
• Work with engineering teams to identify deployment architectures, including serverless and container-based solutions.
• Design, implement, and improve CI/CD pipelines for faster deployments.
• Automate build, testing, deployment, and infrastructure management processes.
• Collaborate with tools like Jenkins, ArgoCD, Codefresh, and other DevOps technologies.
• Collaborate with software engineering teams to improve deployment efficiency.

Skills

Ownership

Problem solving

Collaboration

Adaptability

Analytical thinking

Documentation

Education

Bachelor's degree in Computer Science or related field

Tools

GCP

Terraform

Kubernetes

Docker

Jenkins

ArgoCD

Codefresh

Datadog

CI/CD

Python

Shell scripting

Go

Job description

RateGain Travel Technologies Limited is a global providerof AI-powered SaaS solutions for travel and hospitality, working with 13,000+customers and 700+ partners across 160+ countries. RateGain helps travel andhospitality businesses accelerate revenue generation through acquisition,retention, and wallet share expansion.

Today, RateGain is one of the world's largest processorsof electronic transactions, price points, and travel intent data, enablingrevenue management, distribution, and marketing teams across hotels, airlines,destination marketing organizations, metasearch companies, package providers,car rentals, travel management companies, cruises, and ferries to drive betterbusiness outcomes.

Founded in 2004 and headquartered in India, RateGainworks with 33 of the Top 40 Hotel Chains, 4 of the Top 5 Airlines, 7 of the Top10 Car Rental companies, and leading Destination Marketing Organizations,Online Travel Agents, and metasearch platforms, including 25 Global Fortune 500companies, unlocking new revenue every day.

Recognized globally for its innovation and impact,RateGain has been named Best Digital Marketing Agency by HotelTechReport Awardsand Best Channel Manager by the World Travel Tech Awards. The company has alsobeen certified as a Great Place to Work® in the USA, Spain, and India, withrecognition in India for seven consecutive years.

In 2025, RateGain was honored as Emerging Company of theYear at The Economic Times Awards for Corporate Excellence, named amongDeloitte India Technology Fast 50 for the sixth time, and won Excellence inBest AI Solution Showcase for UNO VIVA at the CII National AI Awards 2025,among other industry recognitions.

The Mission

To strengthen RateGain's Site Reliability Engineering andDevOps capabilities by building and maintaining secure, reliable, and scalablecloud infrastructure. The role will focus on improving infrastructureautomation, CI/CD processes, Kubernetes operations, monitoring, and productionreliability while driving platform engineering initiatives and adoptingAI-driven operational practices.

Key Responsibilities

• Design,build, and maintain scalable cloud infrastructure on Google Cloud Platform(GCP).
• Implementand manage Infrastructure as Code (IaC) using Terraform to automateinfrastructure provisioning and management.
• Optimizecloud infrastructure for performance, availability, security, and costefficiency.
• Troubleshootcomplex infrastructure and application runtime issues to ensure businesscontinuity.
• Deploy,manage, secure, and monitor containerized applications running onKubernetes.
• Buildand maintain Kubernetes clusters, ensuring high availability, scalability,and reliability.
• Developand maintain Kubernetes Custom Resource Definitions (CRDs) and operatorsto automate complex infrastructure workflows.
• Workclosely with engineering teams to identify the right deploymentarchitecture, including serverless and container-based solutions.
• Design,implement, and improve CI/CD pipelines to enable faster and more reliableapplication deployments.
• Automatebuild, testing, deployment, and infrastructure management processes.
• Workwith tools such as Jenkins, ArgoCD, Codefresh, and other DevOpstechnologies.
• Collaboratewith software engineering teams to improve deployment efficiency anddevelopment workflows.

Site Reliability & Production Operations

• Establishand improve SRE best practices to ensure application availability,reliability, and performance.
• Implementmonitoring, logging, alerting, and incident management processes.
• Troubleshootproduction issues, perform root cause analysis, and implement preventivemeasures.
• Improvesystem resilience, disaster recovery readiness, and operationalefficiency.
• Driveplatform engineering initiatives to simplify infrastructure management andimprove developer productivity.
• Developreusable infrastructure components and automation frameworks.
• LeverageAIOps tools and techniques to improve incident detection, automateresponses, and enable proactive monitoring.
• Exploreand implement AI-driven tools to improve engineering efficiency andoperational reliability.

Functional KPIs

• Maintainhigh application and infrastructure availability against agreedservice-level objectives (SLOs).
• ReduceMean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) productionincidents.
• ImproveCI/CD pipeline efficiency and reduce application deployment time.
• Increaseinfrastructure automation and reduce manual operational activities.
• ImproveKubernetes cluster performance, security, and resource utilization.
• OptimizeGCP infrastructure costs through effective resource management andautomation.
• Reducerecurring production incidents through root cause analysis and preventivemeasures.

Strategic KPIs

• Strengthenthe overall SRE culture and establish standardized reliability practicesacross engineering teams.
• Driveadoption of Infrastructure as Code and automated cloud infrastructuremanagement.
• Builda scalable and secure cloud platform to support business growth andapplication demands.
• Improvedeveloper productivity through platform engineering and self-serviceinfrastructure capabilities.
• AdvanceAIOps adoption to enable proactive monitoring, intelligent alerting, andautomated incident response.
• Improveinfrastructure security, compliance, and operational resilience.
• Drivecontinuous improvement in engineering efficiency, cloud optimization, andproduction reliability.
• GoogleCloud Platform: Strong hands-on experience in designing, managing, andtroubleshooting GCP infrastructure.
• Infrastructureas Code: Expertise in Terraform and infrastructure automation.
• Kubernetes& Containers: Advanced knowledge of Kubernetes, Docker, containersecurity, monitoring, and troubleshooting.
• PlatformEngineering: Experience building scalable internal platforms, KubernetesCRDs, and custom operators.
• CI/CD& DevOps: Strong understanding of deployment automation and tools suchas Jenkins, ArgoCD, and Codefresh.
• Programming& Scripting: Proficiency in Python, Shell scripting, or Go forinfrastructure automation and troubleshooting.
• SiteReliability Engineering: Strong understanding of monitoring, incidentmanagement, system reliability, and performance optimization.
• AIOps& AI Adoption: Knowledge of AI-driven monitoring, automated incidentresponse, and modern AI development tools.
• Linux& System Fundamentals: Strong understanding of Linux operatingsystems, networking, and computer science fundamentals.
• Problem-Solving& Collaboration: Ability to troubleshoot complex technical challenges,work independently, and collaborate effectively with engineering teams.

Education & Work Experience

• Bachelor'sdegree in Computer Science, Engineering, Information Technology, or arelated technical field.
• 8+years of experience in Site Reliability Engineering, DevOps, CloudEngineering, or related infrastructure engineering roles.
• Extensivehands-on experience with Google Cloud Platform (GCP), Terraform,Kubernetes, and containerized applications.
• Provenexperience in managing production infrastructure, troubleshootingapplication issues, and improving system reliability.
• Strongexperience in infrastructure automation, CI/CD pipelines, monitoring, andcloud security.
• Experiencein platform engineering, developing Kubernetes CRDs and operators, andimplementing AIOps solutions.
• Hands-onexperience with Python, Shell scripting, or Go.
• Experienceworking in fast-paced, cloud-native, and AI-driven engineeringenvironments.
• Cloud,Kubernetes, or CNCF certifications will be an added advantage.
• Experiencewith SOC2 compliance, distributed systems, and tools such as Datadog,Jenkins, ArgoCD, and Codefresh is preferred.
• Familiaritywith AI development tools such as Cursor, ChatGPT, Gemini, and Claude isdesirable.
• Strongownership, problem-solving ability, collaboration, adaptability, and acontinuous improvement mindset.

Equal Opportunity Employer

We are proud to be an equal opportunity employer and arecommitted to creating a diverse and inclusive workplace. All qualifiedapplicants will receive consideration for employment without regard to race,color, religion, gender, gender identity or expression, sexual orientation,national origin, genetics, disability, age, or veteran status.