Sr. DevOps Engineer

Grazitti Interactive

Panchkula

On-site

INR 4,000,000 - 7,000,000

Full time

14 days+

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Job summary

Grazitti Interactive seeks a Senior DevOps Engineer to design, build and operate scalable cloud infrastructure on AWS, with a focus on CI/CD using Jenkins and GitLab. You will manage Dockerized apps and EKS clusters, implement Terraform/Ansible IaC, and drive automation via Bash and Python.

The role emphasizes reliability, security, and observability for enterprise SaaS platforms. Strong hands-on experience with AWS services, EKS, CI/CD pipelines, and monitoring tools is required, along with

Qualifications

  • 4-5 years of hands-on experience in DevOps, SRE, or Platform Engineering.
  • Strong expertise in AWS (certification mandatory).
  • Exposure to Azure is a plus.
  • Deep understanding of AWS services including VPC, IAM, EC2, EKS, ALB/NLB, S3, CloudFront, and RDS.
  • Strong experience with Jenkins (mandatory).
  • Hands-on experience with GitLab CI/CD.
  • Experience integrating SonarQube for code quality and security checks.
  • Strong experience with Docker and Kubernetes (EKS) in production environments.
  • Understanding of container security, scaling, and networking.
  • Hands-on experience with Terraform and Ansible (mandatory).
  • Strong scripting skills in Bash and Python, with an automation-first mindset.
  • Strong experience with monitoring and logging tools, including ELK stack, Nagios, and CloudWatch.
  • Strong understanding of logs, metrics, traces, and alerting systems.
  • Understanding of AI, LLM workloads, and infrastructure implications for Agentic AI systems.
  • Exposure to AI workloads, vector databases, or GPU-based systems is a plus.
  • Proven experience supporting production, customer-facing SaaS platforms.
  • Strong troubleshooting skills across infrastructure, networking, and application layers.
  • Strong communication and collaboration skills.

Responsibilities

  • Design, build, and operate highly available and scalable cloud infrastructure, primarily on AWS.
  • Own and enhance CI/CD pipelines using Jenkins and GitLab, ensuring secure and reliable releases.
  • Manage and optimize Dockerized applications and Kubernetes (EKS) clusters.
  • Implement Infrastructure as Code using Terraform and Ansible.
  • Drive automation-first practices using Bash and Python.
  • Ensure platform reliability, performance, and observability using monitoring and logging tools.
  • Operate and optimize logging, monitoring, and alerting systems, including ELK, Nagios, and CloudWatch.
  • Enforce security best practices, vulnerability remediation, and compliance across environments.
  • Collaborate with engineering, QA, security, and product teams to support smooth release cycles.
  • Support AI, LLM-driven, and Agentic AI workloads and understand their infrastructure implications.
  • Participate in incident management, root cause analysis, and continuous improvement initiatives.

Skills

DevOps
SRE
Platform Eng
AWS
Azure
EKS
Jenkins
GitLab CI/CD
SonarQube
Docker
Kubernetes
Terraform
Ansible
Bash
Python
ELK
Nagios
CloudWatch
AI workloads
Security
Networking

Tools

Jenkins
GitLab CI/CD
Terraform
Ansible
Docker
Kubernetes (EKS)
ELK Stack
Nagios
CloudWatch
SonarQube

Job description

Job Description

We're looking for a Senior DevOps Engineer to join the SearchUnify engineering team. In this role, you'll build and operate AI-driven, cloud-native enterprise SaaS platforms at scale. You'll work closely with engineering, security, and product teams to manage infrastructure, streamline CI/CD pipelines, and ensure reliability across high-traffic environments. The role also involves supporting enterprise compliance requirements and enabling infrastructure for AI and LLM-driven workloads.

If you have strong expertise in AWS, Kubernetes, CI/CD, and Infrastructure as Code, and enjoy improving system reliability through automation and best practices, this role is a strong fit.

Key Skills
  • 4-5 years of hands-on experience in DevOps, SRE, or Platform Engineering.
  • Strong expertise in AWS (certification mandatory).
  • Exposure to Azure is a plus.
  • Deep understanding of AWS services, including VPC, IAM, EC2, EKS, ALB/NLB, S3, CloudFront, and RDS.
  • Strong experience with Jenkins (mandatory).
  • Hands-on experience with GitLab CI/CD.
  • Experience integrating SonarQube for code quality and security checks.
  • Strong experience with Docker and Kubernetes (EKS) in production environments.
  • Understanding of container security, scaling, and networking.
  • Hands-on experience with Terraform and Ansible (mandatory).
  • Strong scripting skills in Bash and Python, with an automation-first mindset.
  • Strong experience with monitoring and logging tools, including ELK stack, Nagios, and CloudWatch.
  • Strong understanding of logs, metrics, traces, and alerting systems.
  • Understanding of AI, LLM workloads, and infrastructure implications for Agentic AI systems.
  • Exposure to AI workloads, vector databases, or GPU-based systems is a plus.
  • Proven experience supporting production, customer-facing SaaS platforms.
  • Strong troubleshooting skills across infrastructure, networking, and application layers.
  • Strong communication and collaboration skills.
Roles and Responsibilities
  • Design, build, and operate highly available and scalable cloud infrastructure, primarily on AWS.
  • Own and enhance CI/CD pipelines using Jenkins and GitLab, ensuring secure and reliable releases.
  • Manage and optimize Dockerized applications and Kubernetes (EKS) clusters.
  • Implement Infrastructure as Code using Terraform and Ansible.
  • Drive automation-first practices using Bash and Python.
  • Ensure platform reliability, performance, and observability using monitoring and logging tools.
  • Operate and optimize logging, monitoring, and alerting systems, including ELK, Nagios, and CloudWatch.
  • Enforce security best practices, vulnerability remediation, and compliance across environments.
  • Collaborate with engineering, QA, security, and product teams to support smooth release cycles.
  • Support AI, LLM-driven, and Agentic AI workloads and understand their infrastructure implications.
  • Participate in incident management, root cause analysis, and continuous improvement initiatives.
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