Power Platform Developer designing and maintaining Power Platform solutions for a global technology leader. Collaborating with teams to deliver technology solutions that enhance productivity and sustainability.
About the role
- Platform Engineer developing cloud-native microservice components and internal tools at Furiosa. Involved in building monitoring platforms and managing machine learning lifecycles.
Responsibilities
- Designs and develops cloud-native microservice components on Kubernetes
- Builds monitoring and logging platforms for cloud-native applications
- Designs and develops Software Development Kit (SDK) of Furiosa NPUs
- Develops high-performance runtime system handling DNN inference requests
- Develops ML production software to manage machine learning lifecycles
- Develops internal tools and services that improve teams' productivity
- Writes API references and development documents
- HW operation tools for hyper scale datacenter, e.g. monitoring, dashboard, workbench, job scheduling server, HW resource management system, and others.
- Work on various operation tools, such as chip monitoring systems and multi-machine resource management and scheduling systems.
Requirements
- Bachelor’s degree in Computer Science or equivalent work experience
- Excellent communication skills for requirement gathering and clarification
- 3+ years strong programming skills in one or more of the following languages - Rust, Python, Golang, C++
- 2+ years experience developing cloud-native applications with Kubernetes
- 2+ years of experience building and managing microservices in AWS, Azure, GCP or Kubernetes
- Experience with ML/DNN frameworks, e.g., Tensorflow, Pytorch, Apache MXNet
- Knowledge of testing and CI/CD pipeline, e.g., Jenkins, and others
- Experience developing high-performance and highly concurrent server applications
- Experience with RDBMS, NoSQL systems and message queuing systems, such as Kafka, AWS SQS
- Experience developing production-grade software for customers
- Experiences in authentication & authorization methodologies, e.g., OpenID, JWT, OAuth, 802.1X, and others
- Understanding of zero trust networks
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Support with architecture, design, and implementation of Kubernetes environments. Involving in CI/CD pipelines, multi - cloud orchestration, and providing relevant content for clients.
Platform Engineering Manager leading engineering of Anglian Water’s hybrid digital platforms. Focusing on secure and scalable cloud and on - premise infrastructure while enabling digital service delivery.
Platform Engineer responsible for maintaining uptime and stability of robot testing platforms. Collaborating with teams for high reliability in testing environments for autonomous vehicles.
Platform Engineer for Pfizer’s Data and AI Platforms team, developing Azure solutions and pro - code AI agent applications. Leading engineering and operations for a scalable enterprise - grade platform.
Senior Embedded Platform Engineer developing low - level embedded software for Ford's Electric Vehicles and the future of transportation. Collaborating with agile teams to ensure functionality and efficiency.
Senior IT Engineer enhancing cloud platform and infrastructure reliability at Xcel Energy. Collaborating with teams to influence platform strategy and deliver high - impact capabilities.
Platform Engineer developing Kubernetes solutions supporting multi - tenant platforms at Bundesdruckerei in Berlin. Collaborating on innovative digital solutions for identity and data protection.
Lead Platform Engineer at PGIM Private Capital focusing on cloud modernization. Collaborate with cross - functional teams to develop cloud - based applications in a hybrid work environment.
AI Platform Engineer designing and deploying AI and ML platforms at Utica National Insurance Group. Collaborating with internal teams to implement AI solutions and establish observability and telemetry.