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JPMorgan Software Engineer III - UI 
India, Karnataka, Bengaluru 
551777572

06.07.2024

Job Responsibilities

  • Build common UI capabilities used across Corporate Technology
  • Participate in development of one or more of:
    • Next-generation UI for big data-based machine learning frameworks
    • Front-end web applications and back-end services that integrate with other products.
    • Containerization of UI applications and deployment on Docker/Kubernetes.
  • Design/architect state-of-the-art User Interfaces.
  • Automate and streamline existing processes, procedures, and toolsets
  • Innovate new ways of managing, transforming and validating data
  • Ensure code paths are unit tested, defect free and integration tested

Required Qualifications/ Technical skills

  • BE/BTech/BS/MTech/MS/ME degree or equivalent experience in Computer Science, Information Technology or related disciplines
  • 3 - 12 years of exceptional hands-on knowledge of robust software design and development (UI)
  • Strong Python programming skills and Web Services (spring boot)
  • Experience in distributed computing and micro services (Docker, Kubernetes)
  • Experience in designing and implementing scalable solutions in the analytics space
  • Experience in building reliable and auditable CICD deployment pipeline using Jenkins
  • Experience working on cloud Platforms (AWS/Azure)
  • Ability to architectural design /contribute to the same
  • Exposure working with databases – SQL and/or NoSQL
  • Exposure/competence with Agile Development approach
  • Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals
  • Python, FLASK, FastAPI
  • Springboot
  • Angular, Bootstrap, HTML 5, CSS3.
  • SQL, PostGres, DynamoDB/MongoDB
  • AWS Lambda, S3, RDS, ECS
  • Terraform

Preferred Qualifications, Capabilities and Skills:

  • AI/ML, Docker, Kubernetes. (containerization, Microservices), Big Data, NoSQL, MongoDB, DynamoDB.
  • Alternate : Cloud (Azure), REACT, NodeJS
  • Experience in Big Data technologies and utilities (Hadoop, Spark SQL, Hive, Impala, Pig, Kafka)
  • Knowledge of ML modelling and engineering
  • Financial Services background or experience