Software Engineer III- Python/Java

Fairygodboss; Glasgow; On-site; GBP 80,000 - 110,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III to join the AI/ML and Data Platform. You will be a seasoned member of an agile team delivering trusted, secure scalable technology across multiple business areas.

You will design, develop and troubleshoot production code, support data engineering and ML teams, and drive automation and operational excellence. The role requires strong Python/Java development, experience with AWS Databricks, SRE concepts, and secure coding practices.

Qualifications

• Formal training or certification on software engineering concepts and applied experience.
• Extensive experience with AWS Databricks platform administration and engineering support is a MUST.
• Strong understanding of SRE principles, including SLIs, SLOs, error budgets, and incident management.
• Experience with monitoring tools, automation frameworks, and CI/CD pipelines.
• Hands-on experience using enterprise-authorized AI-assisted software development tools with evaluation, validation and secure coding.
• Understanding of responsible AI use in engineering workflows and secure handling of data.
• Proficient in Python and/or Java application development with automated unit testing.
• Solid understanding of agile methodologies including CI/CD, resiliency and security.
• Knowledge of Spark, Glue, MapReduce, and other Big Data frameworks.
• Excellent troubleshooting, analytical, and communication skills.

Responsibilities

• Executes software solutions, design, development, and troubleshooting beyond routine approaches.
• Creates secure, high-quality production code and maintains relevant algorithms.
• Platform design, setup and configuration; provides engineering support to data teams and ML.
• Collaborates to optimize infrastructure and deployment with focus on automation and operational excellence.
• Identifies opportunities to automate remediation of recurring issues for stability.
• Leverages AI coding assist tools to improve code quality and speed; validates outputs via peer review and testing.
• Applies SDLC tools and AI-assisted development to improve automation value.
• W leads evaluation sessions with vendors and internal teams on architecture and applicability.
• Contributes to engineering communities and fosters diversity and inclusion within the team.

Skills

Python/Java development

AWS Databricks

SRE principles

CI/CD pipelines

AI-assisted development

Secure coding

Agile methodologies

Docker

Kubernetes

Spark/Big Data

Communication

Tools

Docker

Kubernetes

Spark

CI/CD tools

Job description

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 JPMorganChase within the AI/ML and Data Platform, 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.
• Performs platform design, set-up and configuration, providing engineering support to data engineering teams, Data Science/ML, and Application/integration teams.
• Collaborates with engineering and data teams to optimize infrastructure and deployment processes, focusing on automation and operational excellence.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information 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.
• Extensive experience with AWS Databricks platform administration and engineering support is a MUST.
• Strong understanding of SRE principles, including SLIs, SLOs, error budgets, and incident management.
• Experience with monitoring tools, automation frameworks, and CI/CD pipelines.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Proficient in Python and/or Java application program development with use of automated unit testing.
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Knowledge of Big Data distributed compute frameworks like Spark, Glue, MapReduce etc.
• Excellent troubleshooting, analytical, and communication skills.

Preferred qualifications, capabilities, and skills

• Experience in Data pipelines using Spark
• Exposure to AWS & Databricks Platform administration.
• Knowledge of containerization (Docker, Kubernetes) and orchestration.
• Familiarity with distributed systems and large-scale data processing.

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.