Senior Platform Engineer

March 1

Apply Now

Receive Emails with Similar Jobs

Quantiphi

WebsiteLinkedInAll Job Openings

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

Big Data • Decision Science • Predictive Analytics • Machine Learning • Consulting

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

📚 Education

💰 Series A on 2019-12

📋 Description

• You will be responsible for designing, developing, and deploying cloud-based solutions that meet Quantiphi s business requirements • Your primary focus will be on the architecture, design, and implementation of cloud-based infrastructure and applications • You will work with development teams, project managers, and business stakeholders to create secure, scalable, and high-performance cloud solutions • Lead the Technical Discussion regarding architecture designing and troubleshooting with the clients, provide solutions proactively as required and own the application configuration for continuous delivery • Develop and implement cloud-based solutions that meet the organization's business requirements and KPIs • Establish Best Practices for Model Deployment, Monitoring and Maintenance • Identify opportunities to optimize cloud infrastructure and reduce costs • Ensure the security and compliance of all cloud-based solutions • Evaluate and recommend cloud-based technologies and services to improve the organization's overall technology stack • Guide the client on technology evaluation, technical thought leadership, and direction • Take a lead in preparing functional and technical specification documents • Own the complete SDLC of the project(s) by managing the solutioning, engineering, testing, release, and maintenance • Work closely with client-partners to align on, and manage their expectations and plan for engineering • The role involves travelling to client location as needed • Guide and help team members debug and solve technical problems • Lead the effort to build and configure applications, acting as the primary point of contact

🎯 Requirements

• Proven experience for developing and deploying Enterprise AI Applications • Strong knowledge of cloud-based technologies, such as Azure, AWS, or Google Cloud Platform with Hands-on experience in Azure • Deep understanding of ML Lifecycle Management • Experience with cloud infrastructure as code (IaC) tools such as Terraform, Ansible, or CloudFormation • Knowledge of containerization and container orchestration technologies such as Docker, Kubernetes, or OpenShift • Strong understanding of networking concepts, including virtual private clouds, firewalls, and load balancing • Automate the development and test automation processes through the CI/CD pipeline (Git, Jenkins, Artifactory, Docker containers) • Strong problem-solving and analytical skills • Excellent communication and collaboration skills and ability to work in a fast-paced environment • Design, architect, and build self-service, self-healing, synthetic monitoring, and alerting platforms and tools • Good to have automation (python/shell scripting)

🏖️ Benefits

• Strong peer learning which will accelerate your learning curve across Applied AI, GPU Computing and other softer aspects such as technical communication • Exposure to working with highly experienced AI leaders at Fortune 500 companies and innovative market disruptors looking to transform their business with Generative AI • Access to state-of-the-art GPU infrastructure on the cloud and on-premise • Be part of the fastest-growing AI-first digital transformation and engineering company in the world