Senior Platform Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Job Description

Role: Senior Platform Engineer

Experience Level: 4+ Years

Work location: Mumbai, Bangalore and Trivandrum

Notice Period: 0-15 days

1. 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.

2. 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).

• Strong command of Git for version control.

3. 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.

4. 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 

5. 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.