Software Engineer Staff Job at Hewlett Packard Enterprise (Bangalore)

Software Engineer Staff

Hewlett Packard Enterprise

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

This Software Engineer Staff will be engaged in data science-related research and software application development and engineering duties related to our enterprise-grade Wi-Fi technology and autonomous platform to provide an unprecedented visibility into the user experience. The Software Engineer Staff will collaborate with other engineers and product managers to build the next generation of autonomous Wi-Fi networks leveraging big data and predictive models. This position requires experience in dealing with huge amounts of data generated by communication protocols. The Software Engineer will use his/her knowledge of wireless communication networks, machine learning and software engineering to develop and implement scalable algorithms to process a large amount of streaming data to detect anomalies, predict problems, and classify them in real-time. In addition, the Software Engineer will leverage the data collected from the Wi-Fi network to empower the inference engine of our Mist platform and systems, including the Mist virtual assistant chat bot. The Software Engineer will also be responsible for determining the likelihood of failures across the Wi-Fi network and performing failure scope analysis.

Job Responsibility:

Designs, develops, troubleshoots and debugs software programs for software enhancements and new products
Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools
Determines hardware compatibility and/or influences hardware design
Engaged in data science-related research and software application development and engineering duties related to our enterprise-grade Wi-Fi technology and autonomous platform to provide an unprecedented visibility into the user experience
Collaborate with other engineers and product managers to build the next generation of autonomous Wi-Fi networks leveraging big data and predictive models
Use knowledge of wireless communication networks, machine learning and software engineering to develop and implement scalable algorithms to process a large amount of streaming data to detect anomalies, predict problems, and classify them in real-time
Leverage the data collected from the Wi-Fi network to empower the inference engine of our Mist platform and systems, including the Mist virtual assistant chat bot
Determine the likelihood of failures across the Wi-Fi network and performing failure scope analysis

Requirements:

Utilize analytical and programming skills and open-source systems, such as Apache Storm, Apache Spark, Elasticsearch, Cassandra, Graph DB etc. develop data processing pipeline required efficacy and latency
Require good knowledge and experience of the big data tool sets and techniques of distributed storage and computation engine
Require the experience to develop the reusable and highly scalable data processing component
Require good knowledge and experience to work with cloud based CICD tools and cloud devops teams to collect stats and create monitors for our data processing pipelines
Develop good quality python APIs to support micro services
Require the knowledge of APIs to various No SQL storage systems, Elasticsearch, Cassandra, and Redis, etc.
Good understanding Python Flask web service and be able to develop good quality code
Troubleshoot production environment and customer reported issues
Require the knowledge of the multi-cloud production environment
Require the agility to troubleshoot open-source data processing engine, such as Apache Spark, Apache Storm and Apache Flink

Nice to have:

Cloud Architectures
Cross Domain Knowledge
Design Thinking
Development Fundamentals
DevOps
Distributed Computing
Microservices Fluency
Full Stack Development
Security-First Mindset
Solutions Design
Testing & Automation
User Experience (UX)

What we offer:

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Additional Information:

Job Posted:
August 01, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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