Software Engineer III- Python,Java,AWS

Reposted 2 Hours Ago
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Hyderabad, Telangana, IND
Hybrid
Mid level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Design and implement scalable GenAI and data solutions using Databricks and AWS. Develop LLM-based systems, orchestration, and agentic frameworks, build data pipelines and data lakes, and collaborate with cross-functional teams to deliver production-grade ML workloads while ensuring responsible AI practices and secure, automated development.
Summary Generated by Built In

Job Overview

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within 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

  • Design and deliver scalable, reliable solutions and AI workflows; perform analysis and derive insights to optimize business outcomes.
  • Communicate designs, trade-offs, and results clearly to both technical and non-technical stakeholders.
  • Build and operate on AWS using services such as S3, RDS, Lambda, Redshift, Athena, Step Functions, MSK, ECS, RDS and EKS  architectures.
  • Collaborate closely with data scientists, engineers, and business partners to deliver high-quality, production-grade solutions.
  • Take end-to-end ownership of deliverables; work independently to drive assignments to completion without unnecessary escalation.
  • Operate as a Python-first engineer with Java skillset—able to read, debug, maintain, and enhance Java-based services and integrations supporting the platform.

Required Qualifications, Capabilities, and Skills

  • Advanced degree in Computer Science or related field.
  • Strong Python skills for AI/data processing and production engineering (performance, reliability, testing, and maintainability).
  • Proficiency with GenAI models (e.g., OpenAI) to solve business problems.
  • Experience with LLM orchestration, AI usage patterns, agentic frameworks, and MCP servers.
  • Strong problem-solving and troubleshooting skills, clear stakeholder communication, rapid POC-to-production execution, and mentoring/coaching ability.

Preferred Qualifications, Capabilities, and Skills

  • Proficiency in all other AWS components—preferably AWS certified.
  • Experience integrating AI/ML models into data pipelines is a plus.
  • Experience with version control (Git) and CI/CD pipelines.

Skills Required

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Advanced degree in Computer Science, Data Science, Mathematics, or related field
  • 3+ years of applied experience in data science, machine learning, or related areas
  • Strong Python skills with PySpark, Spark SQL, and Datagrams for large-scale data processing
  • Proficiency with GenAI models (e.g., OpenAI) including RAG/fine-tuning when appropriate
  • Experience with LLM orchestration, building AI agents, agentic frameworks, and MCP servers
  • Hands-on experience using enterprise-authorized AI-assisted software development tools and validating AI-generated outputs
  • Understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and resiliency/security expectations
  • Databricks expertise building and managing data lakes and end-to-end data processing workflows
  • Experience designing and implementing scalable, reliable data processing pipelines and ML operations
  • Experience with AWS services: S3, Lambda, Redshift, Athena, Step Functions, MSK, EKS, and Data Lake architectures
  • Strong problem-solving, troubleshooting, stakeholder communication, rapid POC-to-production delivery, and mentoring abilities
  • Proficiency in all other AWS components and preferably AWS certified
  • Experience integrating AI/ML models into data pipelines
  • Experience with version control (Git) and CI/CD pipelines

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
  • Parental & Family Support Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
  • Retirement Support Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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