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JPMorgan Chase

investment banking · commercial banking

Software Engineer III

HyderabadPosted 7 days ago
Software engineeringMid-levelFull Time
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Software Engineer III

Hyderabad, Telangana, India

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Job Information

  • Job Identification210703420
  • Job CategorySoftware Engineering
  • Business UnitConsumer & Community Banking
  • Posting Date07/14/2026, 02:58 AM
  • LocationsMAGMA,UNIT-1,PHASE-IV,SY NO.83/1,PLOT NO 2, GR Floor TO 2 Floor and 5 Floor TO 16 Floor,Basement 1,2, Hyderabad, IN-TG, 500081, IN
  • Apply Before07/21/2026, 12:00 AM
  • Job ScheduleFull time
  • Job ShiftDay

Job Description

As a Software Engineer III at JPMorganChase within the Consumer and Community Banking you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Formal training and/or certification in RPA (UiPath) and Azure concepts, with 3+ years of applied hands-on experience.
  • Hands-on experience in system design, application development, testing, and production operational stability.
  • Proficiency in modern programming languages plus database querying (e.g., SQL); proven ability to develop, debug, and maintain enterprise codebases.
  • Strong understanding of the Software Development Life Cycle (SDLC) and Agile delivery, including CI/CD, application resiliency, and security.
  • Strong Data Engineering experience, including ETL/ELT, data lake architecture, and an understanding of data governance, data quality, and metadata management.
  • Strong programming skills in Python + PySpark (or Java/Spark), with a track record of building and optimizing scalable data pipelines.

Required qualifications, capabilities, and skills

  • Formal training and/or certification in RPA (UiPath) and Azure concepts, with 3+ years of applied hands-on experience.
  • Hands-on experience in system design, application development, testing, and production operational stability.
  • Proficiency in modern programming languages plus database querying (e.g., SQL); proven ability to develop, debug, and maintain enterprise codebases.
  • Strong understanding of the Software Development Life Cycle (SDLC) and Agile delivery, including CI/CD, application resiliency, and security.
  • Strong Data Engineering experience, including ETL/ELT, data lake architecture, and an understanding of data governance, data quality, and metadata management.
  • Strong programming skills in Python + PySpark (or Java/Spark), with a track record of building and optimizing scalable data pipelines.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
  • Hands-on expertise with AWS data lake services (e.g., S3, Glue, Lake Formation, EMR) and experience with microservices/containerization (Docker, Kubernetes); demonstrated breadth across technical domains (e.g., cloud, AI/ML, mobile).

Preferred qualifications, capabilities, and skills

  • Familiarity with modern front-end technologies

  • Exposure to cloud technologies

  • Exposure to Generative AI and Agentic AI concepts and tools (e.g., AWS Bedrock, SageMaker, OpenAI, LangChain, etc.). is an added adavantage

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