Senior Back End Developer

  • Full Time
  • Remote

Website https://twitter.com/HPE_Careers Hewlett Packard Enterprise

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Senior Back End Developer – Data Analytics

Job Description:

Hewlett Packard Enterprise (HPE) is seeking an outstanding Software Developer to play a key role in developing an industry-leading HPE storage analytics solution – HPE InfoSight. HPE InfoSight collects and analyzes more sensor data points from our customers’ infrastructure systems and applications than there are stars in our galaxy. Predictive Analytics are then used to correlate vast amounts of information to find the needle in the haystack, and solve our customers’ most complex infrastructure issues.

 

You will be joining an agile, empowered team, focused on building a brand new data processing platform that enables and powers the analytics that are at the core of HPE InfoSight. The HPE InfoSight Data Platform provides abstractions, components and infrastructure to create a state-of-the-art platform for running data processing and machine learning workloads. The team leverages the latest big data and microservice-based technologies to build out the data processing platform – Apache Spark, Delta Lake, Apache Pulsar, Kubernetes, Istio, knative, GraphQL, TimescaleDB, Postgres. The development stack is Scala (cats, http4s, Caliban, shapeless, lagom).

 

Responsibilities:

Technical contributor, as a software developer, in a cross-functional development team, focused on building out a full featured data processing platform
Leverage big-data technologies for data processing, including Apache Spark, Kubernetes, Apache Pulsar, AWS (Lambda, S3)
Contribute to the data platform ecosystem, including implementation of microservices or serverless components using Scala, http4s
Work with the Data Scientists to create and evolve the data platform to enable both exploratory analytics and Machine Learning
Work with the DevOps engineers to design and build observability features (telemetry, tracing) and CI/CD
Develop unit, integration, system or any tests that are needed to help the team deliver value quickly, with a high degree of quality
Education and Experience

Bachelor/Master’s degree in Computer Science/Engineering program, or equivalent
10+ years of relevant experience
Knowledge and Skills

Strong software engineering/development skills. Practical experience with Apache Spark
Strong distributed systems knowledge
Data processing experience at scale
Practical experience designing and implementing microservices
Team player with a passion for learning, programming, automation, and data processing
Excellent analytical and problem solving skills
Excellent communications skills
Experience with any of the following is a plus:

Scala (practical experience with functional programming would be a plus)
AWS or other public cloud provider
Akka (experience with Lagom and overall experience with CQRS/Event Sourcing would be a plus)

Tagged as: apache pulsar, AWS, engineer, kubernetes, scala, software developer, spark

To apply for this job email your details to melody.davis@hpe.com