Bulge Bracket Investment Banks

Software Engineer III - Python, Data, AIML, Cloud

at J.P. Morgan

Mid LevelNo visa sponsorshipData Engineering

Posted a month ago

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Compensation: Not specified
City: Bengaluru
Country: India

As a Software Engineer III in JPMorgan Chase's Commercial & Investment Bank (Bengaluru), you will design and deliver secure, scalable cloud-native software and data engineering solutions. You will write production-quality Python code, develop microservices and distributed data-intensive applications, and build production-scale data pipelines and MLOps workflows using cloud services. The role includes system design, architecture artifacts, data analysis/visualization, and collaborating with stakeholders and data scientists in an agile environment.

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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