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Software Engineer III- Data Engineer, Java/Python

at J.P. Morgan

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

Software Engineer III- Data Engineer, Java/Python

at J.P. Morgan

Mid LevelNo visa sponsorshipData Engineering

Posted 17 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Glasgow
Country
United Kingdom

Senior software engineer role within Corporate Risk Technology responsible for designing and delivering secure, scalable data platforms and services. Hands-on development in Java and Python, building production-quality code, large-scale data processing, and data architecture. Work on cloud-native solutions and modern data technologies (Spark, Databricks/Snowflake, Kafka) in an Agile team with strong focus on observability and CI/CD. Contribute to architecture, troubleshooting, and improving system resilience and data-driven insights.

Location: GLASGOW, LANARKSHIRE, United Kingdom

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 JP Morgan Chase within the Corporate Risk Technology, you serve as a seasoned member of an Agile Engineering & Architecture 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  applied experience.
  • Proficiency in Data Engineering & Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise platforms and solutions
  • Advanced in one or more programming language(s) eg. Java, Python , C/C++, C#
  • Working knowledge of relational and NoSQL databases and data lake architectures
  • Experience in developing, debugging, and maintaining code (preferably in a large corporate environment) with one or more modern programming languages and database querying languages with good overlap of application & DB. 
  • Experience in large scale data processing, using micro services, API design,  Kafka, Redis, MemCached, Observability (Dynatrace , Splunk, Grafana or similar), Orchestration (Airflow, Temporal)
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Practical cloud native experience

Preferred qualifications, capabilities, and skills

  • Experience with modern data technologies such as Databricks or Snowflake.
  • Hands-on experience with Spark/PySpark and other big data processing technologies
  • Knowledge of the financial services industry and their IT systems
Design & deliver market-leading technology products in a secure & scalable way as a seasoned member of an Agile Engineering & Arch team

Software Engineer III- Data Engineer, Java/Python

at J.P. Morgan

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

Software Engineer III- Data Engineer, Java/Python

at J.P. Morgan

Mid LevelNo visa sponsorshipData Engineering

Posted 17 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Glasgow
Country
United Kingdom

Senior software engineer role within Corporate Risk Technology responsible for designing and delivering secure, scalable data platforms and services. Hands-on development in Java and Python, building production-quality code, large-scale data processing, and data architecture. Work on cloud-native solutions and modern data technologies (Spark, Databricks/Snowflake, Kafka) in an Agile team with strong focus on observability and CI/CD. Contribute to architecture, troubleshooting, and improving system resilience and data-driven insights.

Location: GLASGOW, LANARKSHIRE, United Kingdom

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 JP Morgan Chase within the Corporate Risk Technology, you serve as a seasoned member of an Agile Engineering & Architecture 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  applied experience.
  • Proficiency in Data Engineering & Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise platforms and solutions
  • Advanced in one or more programming language(s) eg. Java, Python , C/C++, C#
  • Working knowledge of relational and NoSQL databases and data lake architectures
  • Experience in developing, debugging, and maintaining code (preferably in a large corporate environment) with one or more modern programming languages and database querying languages with good overlap of application & DB. 
  • Experience in large scale data processing, using micro services, API design,  Kafka, Redis, MemCached, Observability (Dynatrace , Splunk, Grafana or similar), Orchestration (Airflow, Temporal)
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Practical cloud native experience

Preferred qualifications, capabilities, and skills

  • Experience with modern data technologies such as Databricks or Snowflake.
  • Hands-on experience with Spark/PySpark and other big data processing technologies
  • Knowledge of the financial services industry and their IT systems
Design & deliver market-leading technology products in a secure & scalable way as a seasoned member of an Agile Engineering & Arch team