General Electric Sr Staff Software Architect in Bengaluru, India
Design large scale distributed platform on the cloud using managed services from different cloud providers to meet the data requirements of analytics. Lead all the architecture efforts around scalability, performance and choosing the technology to build the platform. Be hands on in the complete design and implementation of various portions of the platform.
a. Build the platform using the best of managed services in major cloud platforms namely AWS, GCP and Azure to meet data requirements of analytics
b. Use managed services such as Dynamodb, Bigquery, Bigtable, Neptune etc, to solve data injestion, cleansing and processing in distributed systems
c. Use dockers and container orchestration to build scalable distributed systems using microservices.
d. Design and code critical components of the platform using programming languages such as Go.Js, Node.js, Java, Python.
e. Build prototypes using various open source tools and identify technologies of choice for the platform
f. Drive design, coding standards and best practices in the group.
g. Write quality code, unit tests and develop the data platform working with multiple team members.
h. Work with uncertainties in a fast paced startup like eco system delivering continuous value to the product
• Bachelor’s Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math)
a. Hands on in one or more data services in cloud such as Dynamodb, Bigquery, Bigtable, Neptune etc
b. Ability to solve problems involving dockers, Kuberneres (one of GKE, EKS, AKS) with an eye for performance and scale.
c. Hands on in programming languages Go.js, Node.js, Java/Python
d. Experience in building solutions with managed cloud services on batch and streaming datasets.
e. Hands on experience in architecting frameworks/platforms using micro services
f. Strong programming and design skills with expertise in data structures and algorithms.
g. Prior experience in working on Dockers and container orchestration.
e. Prior experience in working on big data for analytics is an added advantage
f. Knowledge of Machine Learning pipelines is an added advantage
Baker Hughes is a Fortune 500 company with USD 22 billion in revenue. Baker Hughes Digital is a leading solutions provider to a variety of industries with Analytics, AI/ML/Deep Learning to predict to predict failures, optimize performance and processes in real time.
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Locations: India; Bengaluru