Business Segment: Digital Predix Products & Technology
Location(s): United States; Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming; San Ramon
About Us: GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Role Summary: As Staff Software Engineer – Predix Cloud, you will build the foundation for GE’s Predix Cloud. You will be responsible for engineering and live site operations for cloud service infrastructure, PaaS fabric, deployment, monitoring, and capacity management of systems at web scale in a fully virtualized IaaS and PaaS operating environment. Working closely with GE Software technical product managers, you will deliver the platform that runs GE’s Industrial Internet.
In this role, you will:
Capture system level requirements by brainstorming with Sr. Architects, Data Scientists, Businesses & Product Managers
Identify the scope of the work, provide initial estimate and justify the estimate with facts
Demonstrate the understanding of Agile software development lifecycle and able to distinguish the core inputs and outputs in each cycle.
Engineer GE’s PaaS, which includes, but is not limited to the following components: Automated Continuous Delivery, Cloud Application Fabric, Operations Infrastructure, and Specific services such as Logging, Monitoring, and Messaging delivered in an “as-a-service” model
Identify and define non-functional requirements including, but not limited to: backward compatibility, performance, reliability, scalability, privacy, and security
Collaborate with cross functional stakeholders
Provide timely and accurate estimates for deliverables
Participate in strategic and tactical planning sessions
Identify opportunities for automation and develop scalable solutions
Lead and mentor members of the engineering team
Bachelor’s Degree in Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering or related field or equivalent experience
A minimum of 7 years of professional experience in software development, service engineering or cloud/online service operations OR Master’s degree with 6 years of experience in software development or service engineering or cloud/online service operations OR PhD with 3 years of experience in software development, service engineering or cloud/online service operations
GE Leadership Program Graduates will get credit towards relevant work experience, commensurate to the program they have completed
Legal authorization to work in the U.S. is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills.
Must be willing to travel 10%
Must be willing to work Remote
Experience of Linux operating systems preferred
Experience in engineering cloud/online services at massive scale, including large scale SQL/NoSQL services required
Excellent scripting skills that can be applied in live service environments (Ruby, Python, Bash, Powershell)
Experience using cloud resource provisioning tools and systems
Strong communication, and time management skills
Strong interpersonal and written communication skills
Ability to work in a fast paced, multi-site organization
Experience working in Agile development environment
Familiarity with cloud automation and orchestration tools such as Chef and Terraform
Familiarity with cloud native platforms and cluster managers such as Cloud Foundry, Mesos, and Kubernetes
Comfortable and effective working in new areas that require experimentation and rapid problem solving
Flexible, continuous learner, willing to share knowledge
Ability to lead a team of engineers to deliver a cohesive solution
Strong problem solving abilities and capable of articulating specific technical topics or assignments
Experience in building scalable and highly available distributed systems
Proactively identifies and removes project obstacles or barriers on behalf of the team
Shares knowledge, power, and credit, establishing trust, credibility, and goodwill
Able to work under minimal supervision
Excellent communication skills and the ability to interface with senior leadership with confidence and clarity
Able to work well with global teams, including time-zone flexibility
Locations: United States; Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming; San Ramon
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