Lead DevOps Engineer

Humyn Labs

Bengaluru

On-site

INR 2,600,000 - 4,800,000

Full time

10 days ago
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Job summary

Humyn Labs is seeking a seasoned DevOps/Platform Engineer to design and operate scalable cloud infrastructure. The role focuses on AWS as the primary cloud, with GCP as a secondary option, and requires IaC proficiency with Terraform or CloudFormation.

You will own CI/CD pipelines for backend services and AI workflows, automate deployments, and implement robust monitoring and security practices. Collaboration with AI/ML teams and product squads will be essential.

Qualifications

  • 6-10 years of hands-on DevOps / Platform Engineering experience.
  • Strong experience with AWS services (EC2, EKS/ECS, S3, RDS, IAM, VPC, CloudWatch).
  • Working knowledge of GCP (Compute, GKE, networking, IAM).
  • Strong Python scripting skills with automation focus.
  • Solid understanding of cloud security principles and best practices.

Responsibilities

  • Design, build, and maintain cloud infrastructure on AWS (mandatory) and GCP (secondary).
  • Implement Infrastructure as Code using Terraform/CloudFormation.
  • Build and maintain CI/CD pipelines for backend services, AI workflows, and internal tools.
  • Automate deployments, rollbacks, environment provisioning, and operational workflows.
  • Write Python scripts for automation, tooling, and operations tasks.
  • Ensure high availability, scalability, and performance of production systems.
  • Set up monitoring, logging, and alerting (CloudWatch, Prometheus, Grafana).
  • Drive incident response, root cause analysis, and post-mortems.
  • Implement cloud security best practices (IAM, secrets management, network security).
  • Collaborate with backend, AI/ML, and product teams for smooth releases.

Skills

AWS expertise
Python scripting
CI/CD pipelines
Kubernetes knowledge
IaC (Terraform)

Tools

Terraform
CloudFormation
AWS
GCP
Docker
Kubernetes
Prometheus
Grafana
CloudWatch
Vault

Job description

The core responsibilities for the job include the following:


Cloud and Infrastructure:


  • Design, build, and maintain cloud infrastructure primarily on AWS (mandatory) and GCP (secondary).

  • Manage compute, networking, storage, IAM, and managed services for production workloads.

  • Implement Infrastructure as Code (IaC) using tools like Terraform / CloudFormation.


CI/CD and Automation:


  • Build and maintain CI/CD pipelines for backend services, AI workflows, and internal tools.

  • Automate deployments, rollbacks, environment provisioning, and operational workflows.

  • Write Python scripts for automation, tooling, and operational tasks.


Reliability and Observability:


  • Ensure high availability, scalability, and performance of production systems.

  • Set up monitoring, logging, and alerting (e. g., CloudWatch, Prometheus, Grafana).

  • Drive incident response, root cause analysis, and post-mortems.


Security and Compliance:


  • Implement and enforce cloud security best practices (IAM, secrets management, and network security).

  • Work on vulnerability management, secure CI/CD, and least-privilege access.

  • Support compliance and security reviews for customer and partner integrations.


Collaboration:


  • Partner with backend, AI/ML, and product teams to enable smooth releases.

  • Contribute to platform architecture decisions and technical standards.


Requirements:


  • 6-10 years of hands-on DevOps / Platform Engineering experience.

  • Strong experience with AWS (EC2, EKS/ECS, S3, RDS, IAM, VPC, CloudWatch, etc. )

  • Working knowledge of GCP (Compute, GKE, networking, IAM).

  • Strong Python scripting skills with an automation-first mindset.

  • Solid understanding of cloud security principles and best practices.

  • Experience with Linux, containers (Docker), and container orchestration (Kubernetes).


Good to Have:


  • Experience with Terraform or similar IaC tools.

  • Exposure to multi-cloud or hybrid cloud setups.

  • Experience supporting AI/ML or data-heavy workloads.

  • Familiarity with secrets management tools (Vault, AWS Secrets Manager).

  • Knowledge of cost optimization and cloud FinOps practices.

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