Devops Engineer

Experience:

• 6+ years of experience in

  DevOps

  ,

  Cloud Infrastructure

  , and

  Site Reliability Engineering (SRE)

Key Responsibilities:

• Design, implement, and maintain

  CI/CD pipelines

  to enable seamless integration, testing, and deployment across environments.
• Manage, monitor, and optimize

  cloud infrastructure

  across

  AWS

  ,

  GCP

  , and

  Azure

  for performance, scalability, and reliability.
• Automate provisioning, deployment, scaling, and monitoring using

  Infrastructure-as-Code (IaC)

  tools.
• Build and maintain

  observability solutions

  for logging, monitoring, alerting, and incident response.
• Implement

  security, compliance, and cost-optimization

  best practices across all environments.
• Develop

  Bash/Python scripts

  to automate deployment, infrastructure, and maintenance tasks.
• Collaborate with engineering, data, and ML teams to support deployment and reliability of applications and ML workloads.
• Lead

  incident response

  ,

  root cause analysis

  , and drive continuous improvement in system reliability.

Qualifications and Experience:

• Bachelors or Master’s degree in

  Computer Science

  ,

  Engineering

  , or a related field.
• 6+ years of experience in

  DevOps

  ,

  Cloud Infrastructure

  , or

  Systems Engineering

  .
• Hands-on expertise with

  AWS

  ,

  Azure

  , or

  GCP

  cloud platforms.
• Proficiency with

  CI/CD tools

  such as

  Jenkins

  ,

  GitLab CI

  , or

  GitHub Actions

  .
• Strong experience with

  Infrastructure as Code (IaC)

  using

  Terraform

  ,

  CloudFormation

  , or

  Ansible

  .
• Proficiency in

  containerization and orchestration

  using

  Docker

  and

  Kubernetes

  .
• Strong scripting skills in

  Bash

  and

  Python

  for automation and process optimization.
• Experience with

  monitoring and logging

  solutions like

  Prometheus

  ,

  Grafana

  ,

  ELK

  , or

  Datadog

  .
• Solid understanding of

  networking

  ,

  load balancing

  , and

  cloud security

  best practices.
• Experience in creating strategies that ensure functionality, performance and scalability of the infrastructure deployed.
• Experience in setting up blue/green or canary deployments.
• Familiarity with

  microservices

  and

  distributed system architectures

  .
• Experience with

  GitOps workflows

  (e.g.,

  ArgoCD

  ,

  Flux

  ) and

  configuration management

  tools (e.g.,

  Ansible

  ,

  Puppet

  ,

  Chef

  ).
• Exposure to

  MLOps workflows

  , including

  model deployment

  ,

  monitoring

  , and

  automation

  using

  MLflow

  ,

  Kubeflow

  , or

  SageMaker

  .
• Excellent communication and collaboration skills with the ability to operate independently and with cross-functional teams in a dynamic environment.