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JPMorganChase

Software Engineer II - Python, Big data

Posted 55 Minutes Ago
Be an Early Applicant
Hybrid
Hyderabad, Telangana
Junior
Hybrid
Hyderabad, Telangana
Junior
As a Software Engineer, you will design and develop software solutions, create production-quality code, automate issue resolution, and collaborate with various stakeholders in technology projects.
The summary above was generated by AI
Job Description
We have an exciting opportunity for you to advance your software engineering career and shape the future of technology.
Job summary
As a Software Engineer at JPMorgan Chase within the Corporate Technology, you work within an agile team to design and deliver trusted, market-leading technology products in a secure, stable, and scalable way. You are responsible for implementing critical technology solutions across multiple technical areas in support of the firm's business objectives.
Job responsibilities
  • Designs and develops creative software solutions and performs technical troubleshooting to solve complex problems
  • Creates secure, high-quality production code and reviews and debugs code written by others
  • Identifies opportunities to automate remediation of recurring issues to improve operational stability
  • Leads evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials
  • Collaborates with product managers, data scientists, machine learning engineers, and other stakeholders throughout the software development lifecycle
  • Adds to team culture of diversity, inclusion, and respect
  • Stays informed about advancements in large language models and generative AI, implementing new techniques and leveraging external APIs

Required qualifications, capabilities, and skills
  • Formal training or certification in software engineering concepts and 2+ years of applied experience
  • Strong skills in programming languages such as Python or Java
  • Experience developing and maintaining applications on public cloud platforms

Preferred qualifications, capabilities, and skills
  • Experience with big data technologies, preferably Spark and Databricks
  • Experience with Databricks platform
  • Proficiency in PySpark
  • Familiarity with AWS
  • Experience in automation and continuous delivery methods
  • Exposure to machine learning operations

Top Skills

AWS
Databricks
Java
Pyspark
Python
Spark

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