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Software Engineer III - Python, Data, AIML, Cloud

at J.P. Morgan

Back to all Python jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Software Engineer III - Python, Data, AIML, Cloud

at J.P. Morgan

Mid LevelNo visa sponsorshipPython

Posted 16 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Join JPMorgan Chase as a Software Engineer III, focusing on Python, data, AIML, and cloud technologies within the Commercial & Investment Bank. You will be a seasoned member of an agile team responsible for designing, delivering secure, scalable software solutions and producing architecture artifacts. The role includes working with large data sets, improving coding hygiene, and contributing to cloud-native data engineering and MLOps. Collaboration with stakeholders and cross-functional teams is emphasized to drive business objectives.

Location: Bengaluru, Karnataka, India

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 the Commercial & Investment Bank 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
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years proficient applied experience
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Proficient in coding in one or more languages (Python preferably) 
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications
  • Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies        
  • Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments   
  • Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps   
  • Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds 

Preferred qualifications, capabilities, and skills

  • Experience with data, AWS and AIML engineering in commercial settings
  • Experience working on Production scale AI/ML systems 
  • Practical experience with Kubernetes, EKS, Docker, Terraform, MLOps
  • Prior exposure to LLMs, RAG, OpenSearch and vector databases   
  • Prior experience collaborating with data scientists 
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team

Software Engineer III - Python, Data, AIML, Cloud

at J.P. Morgan

Back to all Python jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Software Engineer III - Python, Data, AIML, Cloud

at J.P. Morgan

Mid LevelNo visa sponsorshipPython

Posted 16 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Join JPMorgan Chase as a Software Engineer III, focusing on Python, data, AIML, and cloud technologies within the Commercial & Investment Bank. You will be a seasoned member of an agile team responsible for designing, delivering secure, scalable software solutions and producing architecture artifacts. The role includes working with large data sets, improving coding hygiene, and contributing to cloud-native data engineering and MLOps. Collaboration with stakeholders and cross-functional teams is emphasized to drive business objectives.

Location: Bengaluru, Karnataka, India

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 the Commercial & Investment Bank 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
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years proficient applied experience
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Proficient in coding in one or more languages (Python preferably) 
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications
  • Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies        
  • Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments   
  • Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps   
  • Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds 

Preferred qualifications, capabilities, and skills

  • Experience with data, AWS and AIML engineering in commercial settings
  • Experience working on Production scale AI/ML systems 
  • Practical experience with Kubernetes, EKS, Docker, Terraform, MLOps
  • Prior exposure to LLMs, RAG, OpenSearch and vector databases   
  • Prior experience collaborating with data scientists 
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team

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