At a Glance
- Tasks: Design and deliver innovative software solutions using Python/Java in a collaborative agile team.
- Company: Join JPMorganChase, a leader in technology and finance with a focus on AI/ML.
- Benefits: Enjoy competitive salary, health benefits, remote work options, and opportunities for professional growth.
- Other info: Be part of a diverse culture that values inclusion, respect, and continuous learning.
- Why this job: Make a real impact by working on cutting-edge technology that shapes the future of finance.
- Qualifications: Experience in software engineering, particularly with AWS Databricks, Python, and Java.
The predicted salary is between 60000 - 80000 £ per year.
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 JPMorgan Chase 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, Map Reduce 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.
Software Engineer III- Python/Java in Glasgow employer: JPMorganChase
JPMorganChase is an exceptional employer, offering a dynamic work environment in Greater London where innovation thrives. With a strong commitment to diversity and inclusion, employees benefit from collaborative agile teams, extensive professional development opportunities, and the chance to work on cutting-edge technology products that shape the future of finance. Join us to be part of a culture that values your contributions and supports your growth.
We think you need these skills to ace Software Engineer III- Python/Java in Glasgow
Python
Java
AWS Databricks
SRE Principles
SLIs
SLOs
Incident Management
