Senior PE

About the role

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! Role: Senior Platform Engineer Experience Level: 3+ Years Location: Hyderabad/Bangalore Overview: We are seeking a highly experienced and motivated Senior Platform Engineer to join our growing team. You will play a pivotal role in leading the technical design, implementation, and maintenance of our machine learning and application platforms. This role demands deep expertise in GCP services, automated CI/CD pipelines, and asynchronous messaging architectures to ensure our AI solutions meet the highest standards of scalability and reliability. Roles and Responsibilities Lead Technical Design & Implementation: Take a leadership role in the technical design of the ML platform, ensuring it meets stringent performance and security requirements. Cloud-Native Deployment: Design and optimize deployment strategies on GCP , specifically utilizing Cloud Run for scalable, containerized applications and FastAPI for high-performance service layers. CI/CD Pipeline Ownership: Own end-to-end pipelines utilizing GitLab CI/CD to establish fully automated, robust, and efficient build, test, and deployment processes. Data & Messaging Orchestration: Lead the implementation of complex, interdependent workflows using Airflow and manage real-time data streams via Pub/Sub and BigQuery (BQ) . Kubernetes & Container Mastery: Architect and manage highly available applications using Kubernetes and Cloud Run , focusing on autoscaling, load balancing, and resource management. Monitoring & Optimization: Proactively troubleshoot complex issues in real-time pipelines and implement comprehensive monitoring and alerting solutions. Infrastructure as Code (IaC): Lead the adoption of IaC principles (e.g., Terraform) for managing all aspects of the cloud and on-premises infrastructure. Collaboration & Mentorship: Partner with data scientists and developers to provide expert technical guidance and mentor junior team members. Skill Set Needed Platform Experience (3+ Years): Proven experience in building and managing complex technical platforms with a focus on high-scale infrastructure. GCP Mastery: Hands-on expertise with Google Cloud Platform services, including Cloud Run , GCS , BigQuery (BQ) , and Pub/Sub . Workflow Orchestration: Expert-level experience with Airflow (Cloud Composer) for designing and implementing complex model and data orchestration strategies. GitLab CI/CD Leadership: Expert experience building and maintaining automated pipelines specifically within GitLab CI/CD , including security and pipeline orchestration. Programming & API Development: Advanced proficiency in Python and FastAPI for building performant, scalable APIs. Kubernetes Architecture: Expert-level experience with Kubernetes-based deployments, ingress, service mesh, and cluster operations. On-Premises Knowledge: Familiarity with on-premises deployments leveraging frameworks like Ray for distributed computing. Analytical Problem-Solving: Exceptional skills in debugging complex performance bottlenecks and system stability issues. Good to Have Experience with other major cloud platforms (AWS/Azure) and hybrid cloud architectures. Familiarity with MLOps tools beyond CI/CD, such as MLflow or DVC. Knowledge of security best practices for platform engineering, including data governance and compliance. Experience with performance and load testing tools like Locust. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !