Senior Lead Software Engineer, Big Data & Cloud Engineering — Risk Central (London)
JPMorgan Chase & Co. · GB
3 hours agoImpress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Lead Software Engineer, Big Data & Cloud Engineering — Risk Central (London) role.
Rezi rewrites your resume against JPMorgan Chase & Co.'s job description. Free.

Tailor your resume to this Senior Lead Software Engineer, Big Data & Cloud Engineering — Risk Central (London) role.
Rezi rewrites your resume against JPMorgan Chase & Co.'s job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Lead Software Engineer, Big Data & Cloud Engineering — Risk Central (London) posting at JPMorgan Chase & Co. — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Senior Lead Software Engineer, Big Data & Cloud Engineering — Risk Central (London) posting at JPMorgan Chase & Co. — free, in seconds.
About the Role
As a Senior Lead Software Engineer in the Risk Central team, you will be a senior hands-on engineer and technical leader responsible for building and operating scalable data and analytics services that support Markets risk use cases. You will work across a modern cloud and big data stack and partner with stakeholders across Front Office, Risk, Product Control, and Finance.
Responsibilities
- Lead end-to-end delivery of complex initiatives across ingestion, transformation, storage, and consumption layers.
- Drive engineering best practices including design reviews, code reviews, testing standards, CI/CD, and documentation.
- Mentor engineers and raise the bar on technical quality, ownership, and operational excellence.
- Design and build robust batch and streaming pipelines using distributed compute.
- Implement efficient data modeling, partitioning, and performance tuning strategies for large datasets.
- Build reusable frameworks/components to accelerate onboarding of new datasets and analytics use cases.
- Engineer data products and workflows that span Databricks and Redshift, including ingestion patterns, transformations, and serving layers.
- Define approaches to reconciliation/consistency, lineage, and controls across both warehouses.
- Optimize query performance and cost across platforms and establish best practices for workload placement.
- Build cloud-native solutions on AWS.
- Leverage Spark-based processing and modern lake/lakehouse patterns.
- Own production stability, including monitoring/alerting, incident management, root-cause analysis, and preventative engineering.
- Define and improve SLAs/SLOs for critical data deliveries and platform uptime.
- Partner with product managers, quants, risk managers, traders, and controllers to translate needs into scalable technical solutions.
- Communicate clearly with senior stakeholders on progress, risks, dependencies, and trade-offs.
- Contribute to planning, refinement, execution, and retrospectives to help teams deliver predictably with high quality.
Requirements
- Extensive professional software engineering experience, including delivery of production systems at scale.
- Strong programming skills in Python (and/or Java/Scala), with strong CS fundamentals (data structures, algorithms, OO design).
- Hands-on experience with distributed data processing (e.g., Spark) and building data pipelines (batch and/or streaming).
- Experience with at least one of: Databricks, Amazon Redshift, or equivalent enterprise data warehouse/lakehouse platforms; ability to design and tune performant workloads.
- Strong SQL skills and understanding of data modeling and analytics patterns.
- Practical experience with cloud engineering concepts (security, networking basics, IAM/access controls, encryption, observability).
- Proven ability to troubleshoot production issues and drive operational improvements.
- Strong communication skills and experience working with globally distributed teams.
Skills
- Python
- Java
- Scala
- Spark
- Databricks
- Amazon Redshift
- SQL
- Cloud Engineering
- AWS
- S3
- EMR
- Lambda
- Kinesis/MSK
- Glue
- EventBridge
- DynamoDB
- EKS
- PySpark
- Scala Spark
- CI/CD
- Infrastructure-as-code
- Containerized workloads
- DevOps practices
- Kafka
- Iceberg
- Delta
- Parquet
Location
- London
Work Type
- Full-time
Experience Level
- Senior
- Lead
About the Company
- 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.
- 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.
Equal Opportunity
- 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.