Job Location: Cochin
Role Purpose & Key Accountabilities :
The Role of the Cloud Engineer is to design build and support Prevalent’s Security Data Science Platform across
AWS, AZURE and GCP. Prevalent’s Security Data Science Platform (SDS) is based on open source, cloud enabled,
and big data technologies designed to ingest, process, analyze and visualize data at petabyte scale data on a
distributed architecture.
As a member of the Prevalent Platform Engineering Team
- Design, Develop, Test and support SDS Platform on the public clouds
- Develop Code, create Unit Tests, Integrations tests etc. (AWS, Azure, GCP)
- Develop deployment packages for the cloud
- Provide for robust and well-articulated technical and functions document of the solution
- Work collaboratively with Product / UI Team and QA team to build and deliver the platform to defined schedule
- Conduct performance benchmarking, performance tuning and analyze system bottlenecks and propose solutions to eliminate them.
- Collaborate with multiple teams from Prevalent/customer to arrive at technical and tactical decisions. Develop proof of concepts and reference implementations
- Develop and govern repeatable design strategies and patterns to ensure consistent solutions
- Develop strong partnership with business, product, and engineering leaders to define business, product,
and technology architecture.
Skills & Experience:
- Strong experience in building solutions, data processing natively on AWS / Azure / GCP is mandatory. Anyone cloud is mandatory
- Extremely skilled in any of Java, Python, Scala, NodeJS technologies and the associated ecosystem.
- Experience in working with RDBMS, NoSQL databases, Stored Procedures, Queries, Indexes etc.
- Sound experience in building APIs and developing webservices.
- Should have used Software Configuration Management tools and Version Control systems like GitHub.
- Adept experience in working in a DevSecOps culture
- Understanding of Rapid Prototyping, Agile Methodology concepts and, experience with Iterative Development
Knowledge:
- Excellent understanding of Cloud IaaS, PaaS and SaaS services is a must.
- Good to have knowledge and experience building Distributed Systems, Microservices etc.
- Understanding of serverless technologies, containers, cloud managed services
- Good understanding of HA/DR Setups in Cloud
Education:
Masters / Bachelor’s Degree in Engineering preferably Computer Science
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LocationCochin, Kakkanad
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DepartmentPlatform & Product
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Employment TypeFull-Time
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Minimum ExperienceMid-level
Prevalent AI | Hiring | Cloud Engineer | BigDataKB.com | 1/19/2022
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