Senior Platform Engineer 2

Posted 8 Days Ago
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Hiring Remotely in USA
Remote
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Role
As a Senior Platform Engineer, you will be responsible for designing, developing, and deploying cloud-based solutions while collaborating with development teams and stakeholders. The role involves ensuring security, compliance, and scalability of cloud infrastructure, optimizing resources, and managing the entire software development lifecycle.
Summary Generated by Built In

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!

Work Location: Remote - USA

Job Profile:

  • 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.

Roles and responsibilities:

  • 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.
  • Design cloud-based infrastructure and applications.
  • Work closely with development teams, project managers, and business stakeholders to ensure successful project delivery.
  • 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

Required Skills:

  • 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).

What is in it for you:

  • Be part of a team and company that has won NVIDIA s AI Services Partner of the Year three-times in a row with an unparalleled track record of building production AI applications on DGX and Cloud GPUs
  • 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

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Top Skills

Ansible
Artifactory
AWS
Azure
Ci/Cd
Cloud Technologies
CloudFormation
Docker
Git
Google Cloud Platform
Jenkins
Kubernetes
Openshift
Python
Shell Scripting
Terraform
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The Company
HQ: Marlborough, MA
3,494 Employees
On-site Workplace
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business.
Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

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