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DevOps Engineer
Agentic AI Platform
Agentic AI Platform's logo

DevOps Engineer

at Agentic AI Platform

Agency job
3 - 6 yrs
₹10L - ₹25L / yr
Gurugram
Skills
DevOps
skill iconPython
Google Cloud Platform (GCP)
Linux/Unix
CI/CD
skill iconGitHub
gitlab
skill iconJenkins
Bash
prometheus
skill icongrafana
skill iconElastic Search
Logstash
Kibana
SaaS
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
iPaaS
ETL
Terraform
Ansible
skill iconAmazon Web Services (AWS)
AWS CloudFormation
Cloud Computing
skill iconDocker
skill iconKubernetes

Review Criteria

  • Strong DevOps /Cloud Engineer Profiles
  • Must have 3+ years of experience as a DevOps / Cloud Engineer
  • Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
  • Must have strong hands-on experience in Linux administration and system management
  • Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
  • Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
  • Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
  • Must be proficient in scripting languages such as Python or Bash for automation
  • Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
  • Top tier Product-based company (B2B Enterprise SaaS preferred)


Preferred

  • Experience in multi-tenant SaaS infrastructure scaling.
  • Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.


Role & Responsibilities

We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.


Key Responsibilities:

  • Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
  • Build and optimize CI/CD pipelines to support rapid release cycles.
  • Manage containerization & orchestration (Docker, Kubernetes).
  • Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
  • Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
  • Drive cloud security automation (IAM, SSL, secrets management).
  • Partner with engineering teams to embed DevOps into SDLC.
  • Troubleshoot production issues and drive incident response.
  • Support multi-tenant SaaS scaling strategies.


Ideal Candidate

  • 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
  • Strong expertise in AWS, Azure, or GCP.
  • Strong expertise in LINUX Administration.
  • Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
  • Proficient in Terraform/Ansible/CloudFormation.
  • Strong scripting skills (Python, Bash).
  • Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
  • Strong grasp of cloud security best practices.



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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Shubham Vishwakarma

Full Stack Developer - Averlon
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