DevOps Engineer

Green Fi is seeking a full-time Dev Ops Engineer to manage cloud and on-premise infrastructure, maintain high availability, standardize deployments, and optimize costs for our AI-powered ESG and sustainability platform. This role involves designing scalable infrastructure, supporting AI/ML workloads, and ensuring operational excellence across cloud and on-premise environments.

• Infrastructure Management
  :
  Ensure 99.9%+ uptime across cloud and on-premise servers with robust monitoring, alerting, and incident response.
• Deployment Standardization
  :
  Build and maintain CI/CD pipelines and Infrastructure as Code (IaC) using Terraform, Cloud Formation, or Ansible.
• Cost Optimization
  :
  Analyze and optimize cloud spend through rightsizing, auto-scaling, and efficient resource utilization.
• AI Workload Optimization
  :
  Optimize infrastructure for AI/ML workloads, including AWS Lambda, Cloud Front, and GPU/compute-intensive processes.
• Client & Internal Support
  :
  Handle technical troubleshooting, assist with deployments, and create clear documentation for internal teams and clients.
• Infrastructure Strategy
  :
  Assess current systems and propose scalable, secure, and resilient architecture improvements.
• Security & Compliance
  :
  Implement best practices in network security, secrets management, and cloud compliance.

• AWS (EC2, Lambda, Cloud Front, S3, RDS, IAM)
• GCP (Compute Engine, Cloud Functions, Cloud Storage)
• Dev Ops Stack
  :
  • CI/CD:
    Jenkins, Git Lab CI, Git Hub Actions
  • IaC:
    Terraform, Ansible, Cloud Formation
  • Containerization:
    Docker, Kubernetes
  • Monitoring:
    Prometheus, Grafana, Cloud Watch
• Programming & Tools
  :
  Python, Bash scripting, Git, API integrations
• Security & Compliance
  :
  Network security, identity & access management, secrets management, and regulatory compliance

• 3–5+ years in Dev Ops or Infrastructure Engineering
• Strong experience with AWS, GCP, and on-premise hybrid environments
• Hands-on experience with serverless architectures (Lambda, Cloud Functions)
• Knowledge of AI/ML infrastructure workloads (GPU optimization, distributed computing, model deployment)
• Client-facing technical support experience is a plus
• Strong analytical, problem-solving, and architecture design skills

• Mission-driven impact
  :
  Build infrastructure supporting AI-powered ESG and climate-tech solutions.
• Cutting-edge technology
  :
  Work with AI, ML, and cloud-native technologies in a high-growth environment.
• Flexible remote/hybrid work
  :
  Collaborate globally with distributed teams.
• Career growth
  :
  Opportunity to take ownership of critical infrastructure in a rapidly scaling company.