Lead Software Engineering - Java/Python - Risk Data Platform & Strategy
Compensation
Not disclosed
Location
London, United Kingdom
Work setup
Not specified
Seniority
Lead
Employment
Not specified
Experience
Not specified
Category
Data engineering
Posted
Skills
agile
ai
airflow
api
api-design
automation
big-data
ci-cd
cloud
cloud-native
cpp
csharp
data-engineering
data-lake
databricks
dynatrace
grafana
java
kafka
machine-learning
memcached
microservices
nosql
observability
pyspark
python
redis
root-cause-analysis
sdlc
secure-coding
snowflake
spark
splunk
test-automation
Full description
Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement.
As a Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions.
Job Responsibilities:
Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems
Develop secure, high-quality production code for data-intensive applications and review code written by others
Identify opportunities to automate remediation of recurring issues and improve operational stability
Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Drive communities of practice across Software Engineering to promote new and leading-edge technologies
Foster a team culture of diversity, opportunity, inclusion, and respect
Required Qualifications, Capabilities, and Skills:
Proficiency in Engineering & Architecture, AI/ML, with hands-on experience designing, implementing, testing, and ensuring operational stability of large-scale enterprise data platforms
Advanced skills in one or more programming languages such as Java, Python, C/C++, or C#
Practical experience delivering system design, application development, testing, and operational stability
Working knowledge of relational and NoSQL databases and data lake architectures
Lead Software Engineering - Java/Python - Risk Data Platform & Strategy at Aumni (London, United Kingdom) — aijobsearch
Experience developing, debugging, and maintaining code with modern programming languages and database querying languages
Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal)
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies, CI/CD, application resiliency, and security
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
Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile
Knowledge of the financial services industry and their IT systems
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.
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Promote data engineering initiatives and deliver vital technology solutions as a key member of our collaborative engineering and architecture team.