Cloud Platform DevOps Engineer
At Hewlett Packard Enterprise (HPE), we live by three core values that drive our business: Partner. Innovate. Act. These values combine to help us create important work all over the world to advance how people live and work.
HPE makes Hybrid IT simple. HPE helps customers to design the right mix of Hybrid IT to serve their unique needs. We bring next generation infrastructure that uses intelligent software to simplify and accelerate the delivery of new apps, services and business insights. Providing with new ways to deliver and manage IT on-premises and in the cloud.
The candidate will be part of the platform team who is building the next gen platform for hosting not only the development of state of the art AI/ML analytic but also productizing mission critical 24x7 BigData & Analytics applications. The individual will need to play the a critical role of collaborating with platform users, automating the operations and implementing new reusable components for enabling for application teams.
Designs limited enhancements, updates, and programming changes for portions and subsystems of systems software
Analyzes design and determines coding, programming, and integration activities required based on specific objectives and established project guidelines.
Collaborates and communicates with internal and outsourced development partners regarding software systems design status, project progress, and issue resolution.
Enhance platform capabilities for enabling use cases for application team.
Collaborate with applications teams for new cases and latest technologies for the platform.
Education and Experience Required:
Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent.
Typically 3-5 years experience.
Knowledge and Skills:
MANDATORY: Total 3-4 years of relevant experience in Big Data analytics environment using one or more of Java, Python, Scala, Go, C++.
MANDATORY: Hands on experience in Linux and Shell scripting(Automation, cron, performance metrics, configuration).
PREFERRED: Experience with using clustered data (like HDFS, Kafka, Cassandra etc) and compute (like Kubernetes or DCOS) environment, automated docker environment, CI/CD (like Jenkins), monitoring (like EFK, Prometheus, Grafana).
PREFERRED: Understanding on Hadoop, Spark big data eco-system will be an added advantage.
Ability to apply analytical and problem solving skills.
Designing software systems running on multiple platform types.
Strong written and verbal communication skills; mastery in English and local language. Ability to effectively communicate design proposals and negotiate options.
• A competitive salary and extensive social benefits
• Diverse and dynamic work environment
• Work-life balance and support for career development
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Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to the use of arrest and conviction records, including the San Francisco Fair Chance Ordinance and similar laws and will consider for employment qualified applicants with criminal histories.