Senior Devops Engineer

ixigo

Gurugram District

On-site

INR 1,800,000 - 3,200,000

Full time

14 days+

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Job summary

ixigo in India seeks a Senior DevOps Engineer to design, automate, and operate scalable, secure cloud-native platforms. The role requires hands-on AWS/Kubernetes/EKS, IaC, CI/CD, observability, and service mesh expertise for highly available production systems.

You will work across databases and data platforms, implementing Grafana/Prometheus monitoring and driving AI/LLM-driven improvements in DevOps, incident response, capacity planning, and cost optimization.

Qualifications

  • 5–6+ years in DevOps, SRE or platform engineering.
  • Strong AWS and Kubernetes expertise.
  • IaC & CI/CD experience required.
  • Observability and AI-enabled DevOps knowledge preferred.
  • Proficiency in Python or Shell scripting.

Responsibilities

  • Design, build, operate, and scale highly available production infra on AWS with emphasis on reliability and security.
  • Manage and optimize Kubernetes/EKS environments, autoscaling, networking, and security.
  • Build reusable IaC with Terraform across environments.
  • Design and maintain CI/CD pipelines using GitLab CI/CD or Jenkins.
  • Operate containerized workloads with Docker, Kubernetes, and Helm.
  • Manage service mesh and gateways (Istio/Envoy).
  • Establish centralized observability with Prometheus, Grafana, Loki.
  • Troubleshoot production issues across Kubernetes, Linux, networking, and databases.
  • Support data platforms like MySQL, PostgreSQL, RDS, Redis; monitor and optimize performance.
  • Drive reliability, incident response, automation, and cost optimization.
  • Adopt AI/AIOps in DevOps workflows for productivity gains.

Skills

AWS
Kubernetes
Docker
Terraform
GitLab CI/CD
Jenkins
Istio
Prometheus
Python
AI/LLMs

Tools

Terraform
Kubernetes
Docker
Helm
GitLab CI/CD
Jenkins
Istio
Envoy

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.

Responsibilities
  • 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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