Bulge Bracket Investment Banks

Posted 11 days ago

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**Lead Software Engineer - Python, Data, Cloud, AIML** SERVE as a senior team member, designing and delivering secure, scalable products. Lead full software lifecycle, from concept to production, for complex data and AIML applications. Must be proficient in Python, have experience in cloud services, and be skilled in system design, microservices, and distributed systems. Previous experience with AWS, ML engineering, and production-scale Cloud-native data engineering solutions is desirable. Embrace learning, problem-solving, and communicate effectively to stakeholders.

Compensation: Not specified
City: London
Country: United Kingdom

Full Job Description

Location: LONDON, United Kingdom

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Markets Research Technology team, 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 firms business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this role.

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

Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps

Designs and implements data engineering solutions, leveraging modern big data technologies

Contributes to software engineering communities of practice and events that explore new and emerging technologies

Embraces a passion for learning, problem-solving, creative thinking and a can-do attitude.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 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

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 stack

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, preferably in financial sector

Experience working on recommendation systems, LLM applications or other AI/ML systems

Practical experience with Kubernetes, EKS, Docker, MLOps

Prior exposure to LLMs, RAG, Knowledge Graph Technologies, 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

Full Job Description

Location: LONDON, United Kingdom

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

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

Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps

Designs and implements data engineering solutions, leveraging modern big data technologies

Contributes to software engineering communities of practice and events that explore new and emerging technologies

Embraces a passion for learning, problem-solving, creative thinking and a can-do attitude.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 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

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 stack

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, preferably in financial sector

Experience working on recommendation systems, LLM applications or other AI/ML systems

Practical experience with Kubernetes, EKS, Docker, MLOps

Prior exposure to LLMs, RAG, Knowledge Graph Technologies, 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

Lead Software Engineer - Python, Data, Cloud, AIML

Full Job Description

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