Senior Devops Engineer

Ixigo

India

On-site

INR 1,800,000 - 2,800,000

Full time

4 days ago
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Job summary

Ixigo, a technology company focused on empowering Indian travellers, seeks a Senior DevOps Engineer to design, automate, and operate scalable cloud-native platforms on AWS. You will manage Kubernetes/EKS environments, implement Terraform-based provisioning, and build end-to-end CI/CD pipelines with GitLab CI/CD and Jenkins.

Expertise in Istio, observability stacks, and AI/LLM integration is highly valued. The role emphasizes reliability, security, automation, and performance across

Qualifications

  • 5-6 years hands-on DevOps, Cloud Infra, SRE, or Platform Engineering experience.
  • Strong practical AWS, EKS, and Kubernetes expertise with security and IaC.
  • Experience building scalable CI/CD pipelines and observability.
  • Familiarity with AI/LLM concepts and AI gateways in DevOps workflows.

Responsibilities

  • Design, build, operate, and scale production infrastructure on AWS.
  • Manage and optimize Kubernetes/EKS environments and autoscaling.
  • Implement IaC with Terraform across environments.
  • Develop robust CI/CD pipelines (GitLab/Jenkins) and automate releases.
  • Operate containerized workloads with Docker/Kubernetes and Istio.
  • Maintain centralized observability (Prometheus, Grafana, Loki).
  • Troubleshoot complex issues across cloud, network, and databases.
  • Support and operate data platforms (MySQL/PostgreSQL/RDS/Redis).
  • Drive reliability, incident management, and cost optimization.
  • Incorporate AI/AIOps in workflows for automation and productivity.

Skills

Cloud Infrastructure
SRE
Platform Engineering
AWS EKS
Kubernetes
Docker
Terraform
GitLab CI/CD
Jenkins
Istio
Observability
Python
Shell
Databases
AI/LLM basics

Tools

Terraform
Docker
Kubernetes
Istio
GitLab CI/CD
Jenkins
Prometheus
Grafana
Envoy
AWS

Job description

Launched in 2007 by Aloke Bajpai & Rajnish Kumar, ixigo (Le Travenues Technology Limited) is a technology company focused on empowering Indian travellers to plan, book and manage their trips across rail, air, buses and hotels. ixigo assists travellers in making smarter travel decisions by leveraging artificial intelligence. The ixigo, ConfirmTkt and AbhiBus apps allow travellers to book train tickets, flight tickets, bus tickets, hotels, and cabs, and provide travel utility tools and services developed using in-house proprietary algorithms and crowd-sourced information. With over 54 crore Annual Active Users in Fiscal 2025, ixigo is the leading OTA for Next Billion Users in India. For more information, please visit http://www.ixigo.com

Job Description

We are seeking a highly motivated Senior DevOps Engineer with strong experience in designing, automating, and operating scalable, secure, and highly available cloud-native platforms. The role requires hands-on expertise across AWS, Kubernetes/EKS, Infrastructure as Code, CI/CD, observability, service mesh, databases, and production operations. The ideal candidate should also have a good understanding of Generative AI, LLM platforms, AI gateways, and practical AI adoption in DevOps/AIOps workflows.

Design, build, operate, and scale highly available production infrastructure on AWS, with a strong focus on reliability, security, automation, and performance.

Manage and optimize Kubernetes/EKS environments, including cluster upgrades, autoscaling, workload scheduling, networking, security, resource management, and high availability.

Build and maintain reusable Infrastructure as Code using Terraform and implement automated infrastructure provisioning across multiple environments.

Design and maintain robust CI/CD pipelines using GitLab CI/CD, Jenkins, or similar tools for automated build, testing, deployment, rollback, and release management.

Implement and operate containerized workloads using Docker, Kubernetes, and Helm, following deployment and configuration best practices.

Manage service-to-service communication and traffic using Istio, Kubernetes Gateway API, kgateway, Envoy-based gateways, or similar technologies.

Build and maintain centralized observability platforms using Prometheus, Grafana, Loki, Cortex, and related monitoring, logging, alerting, and tracing tools.

Troubleshoot complex production issues across Kubernetes, Linux, networking, DNS, HTTP/TLS, service mesh, load balancers, databases, and distributed microservices.

Support and operate data platforms such as MySQL, PostgreSQL, RDS, ScyllaDB, ClickHouse, and Redis, including backup, replication, monitoring, and performance troubleshooting.

Drive platform reliability and operational excellence through incident management, root cause analysis, automation, capacity planning, cost optimization, and continuous improvement.

Adopt AI and AIOps capabilities in DevOps workflows for troubleshooting, log analysis, alert correlation, automation, incident analysis, documentation, and engineering productivity.

Required Skills

5-6years of hands-on experience in DevOps, Cloud Infrastructure, SRE, or Platform Engineering roles.

Strong knowledge of AWS services including EKS, EC2, VPC, ALB/NLB, CloudFront, Route 53, IAM, S3, RDS, KMS, Secrets Manager, and security services.

Strong experience with Kubernetes, Docker, Helm, Terraform, GitLab CI/CD, and Jenkins.

Hands-on knowledge of Istio, service mesh, API gateways, Kubernetes Gateway API, and Envoy-based architectures.

Strong experience with observability tools such as Prometheus, Grafana, Loki, Cortex, and similar monitoring/logging platforms.

Strong Linux administration and troubleshooting skills, with scripting experience using Python and Shell.

Experience with relational and distributed databases including MySQL, PostgreSQL, RDS, ScyllaDB, ClickHouse, Redis, or similar technologies.

Familiarity with build and software development tools such as Git, Maven, Gradle, artifact repositories, and release processes.

Good understanding of Generative AI and LLM fundamentals, including prompts, tokens, context windows, model APIs, inference, latency, rate limits, and AI workload cost.

Familiarity with AI platforms and technologies such as OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, AI-gateway, or similar AI/LLM gateway solutions.

Additional Information

Responsible for safeguarding sensitive company data against unauthorized access, use, or disclosure, and for reporting any suspected security incidents in line with the organization's ISMS (Information Security Management System) policies and procedures.

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