Senior Platform Engineer

Experience: 4+ Years

Location: Mumbai, Bangalore and Trivandrum

Skills: GCP, AWS, Azure, Terraform, CloudFormation, Ansible, Apache Airflow, Prefect, Kubeflow Pipelines, CI/CD, Docker, Kubernetes, Python, Bash, pytest, moto, test-infra, terratest, Git

Overview:
The Platform/Cloud Engineer will be responsible for designing, building, and maintaining the cloud infrastructure that supports the entire "Simulated Reality" POC for R&D; ROI attribution. This includes setting up scalable data storage, orchestrating data generation and processing workflows, and ensuring the robust deployment of ML models and dashboards. Their expertise will ensure the POC runs efficiently and demonstrates a production-ready foundation.

Key Requirements:
Strong experience with a major cloud platform (GCP, AWS, or Azure), including services for compute, storage, and networking.
Proficiency in Infrastructure-as-Code (IaC) tools like Terraform, CloudFormation, or Ansible.
Experience with workflow orchestration tools such as Apache Airflow, Prefect, or Kubeflow Pipelines.
Demonstrated ability to implement CI/CD pipelines for IaC and application deployments.
Familiarity with containerization technologies (Docker, Kubernetes).
Proficiency in scripting languages like Python and Bash.
Experience with testing tools for infrastructure and pipelines (e.g., pytest, moto, test-infra, terratest).
Robust command of Git for version control.

Key Responsibilities:
Design and implement scalable, secure, and cost-effective cloud infrastructure for data storage (data warehouse), compute resources,



and networking.
Develop and manage workflow orchestration pipelines for automated synthetic data generation, data ingestion, model training, and dashboard updates.
Implement CI/CD pipelines for infrastructure-as-code (IaC) deployments and application releases, ensuring reliability and repeatability.
Monitor system performance, troubleshoot issues, and optimize resource utilization to maintain the stability and efficiency of the POC environment.
Implement robust testing strategies for infrastructure-as-code (IaC) configurations and pipeline components, ensuring the reliability and correctness of the deployed environment.

Good to Have:
Experience with specific cloud services like GCP's BigQuery, Cloud Run, GKE, or AWS's S3, Redshift, EKS.
Knowledge of advanced networking concepts and security best practices in the cloud.
Experience with serverless computing paradigms.
Experience with on-premise deployment

Soft Skills:
System Design: Ability to architect robust, scalable, and secure cloud solutions.
Automation Mindset: Strong drive to automate repetitive tasks and build efficient pipelines.
Troubleshooting: Excellent diagnostic skills to identify and resolve infrastructure and deployment issues.
Security Focus: Proactive in implementing best practices for cloud security and access management.
Collaboration: Works closely with Data Engineers and ML Engineers to understand their infrastructure needs.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !

📌 Senior Platform Engineer (Mumbai)
🏢 Quantiphi Analytics Solutions
📍 Mumbai