Sr. DevOps Engineer

Grazitti Interactive; Panchkula; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Grazitti Interactive seeks a Senior DevOps Engineer to build and operate AI-driven, cloud-native SaaS platforms at scale. You will manage infrastructure on AWS, enhance CI/CD pipelines, and ensure reliability across high-traffic environments. Collaboration with engineering, security, and product teams is essential.

Responsibilities include IaC with Terraform and Ansible, Docker/Kubernetes (EKS) management, and IAM/VPC security. Experience with AI workloads and logs/monitoring is a plus.

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: VPC, IAM, EC2, EKS, ALB/NLB, S3, CloudFront, 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 in Bash and Python, automation-first mindset.
• Monitoring/logging with ELK, Nagios, CloudWatch.

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 Dockerised 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 with monitoring & logging tools.
• Operate and optimize logging, monitoring, and alerting systems (ELK, Nagios, 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 infra implications.
• Participate in incident management, root cause analysis, and continuous improvement initiatives.

Skills

DevOps experience

AWS

Azure exposure

VPC

IAM

EC2

EKS

ALB/NLB

S3

CloudFront

RDS

Jenkins

GitLab CI/CD

SonarQube

Docker

Kubernetes

Container security

Terraform

Ansible

Bash

Python

Monitoring

ELK

Nagios

CloudWatch

AI workloads

Tools

Terraform

Ansible

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.

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 Dockerised 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.