Senior Software Engineer - DevOps & MLOps Engineer

1. Core DevOps Foundations
Version Control: Expert-level Git (branching strategies, hooks, and security).
IaC: Advanced Terraform for multi-environment provisioning.
Containerization: Mastery of Docker and Kubernetes (GKE).
Automation: Fluent in Python and Bash for custom tooling and scripting.
Networking: Deep understanding of VPCs, Subnets, Firewalls, and Load Balancing.
2. GCP Platform Expertise
Core Services: IAM, VPC, Cloud Storage, Logging, Monitoring.
Compute: GKE, Compute Engine, Cloud Functions, and Cloud Run.
Data/ML Services: Vertex AI Suite, BigQuery, Dataflow, Dataproc, and Cloud Composer (Airflow).
3. MLOps & AI Specialization
Lifecycle: Experience with Agent orchestration and governance.
Infrastructure for AI: Managing Feature Stores and automated Inference pipelines.
Hardware Acceleration: Hands-on experience managing and scaling GPU/TPU clusters for heavy compute workloads.
Generative AI: Specific experience deploying and scaling Large Language Models (LLMs).