Senior Lead Software Engineer - Java / Python - Risk Technology Data Strategy in London

Senior Lead Software Engineer - Java / Python - Risk Technology Data Strategy in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and develop innovative data engineering solutions to shape risk technology.
  • Company: Join JPMorgan Chase, a leader in financial services with a focus on diversity and inclusion.
  • Benefits: Enjoy competitive salary, career growth, and a collaborative work environment.
  • Other info: Be part of a dynamic team that values your ideas and promotes professional development.
  • Why this job: Make a real impact with cutting-edge technology while fostering creativity and continuous improvement.
  • Qualifications: Proficiency in Java/Python and experience in data platforms and software development.

The predicted salary is between 60000 - 80000 £ per year.

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 Senior 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.
  • Drive communities of practice across Software Engineering to promote new and leading‑edge technologies.
  • Foster a team culture of 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.
  • 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).
  • 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.

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.

Senior Lead Software Engineer - Java / Python - Risk Technology Data Strategy in London employer: Ccgmag

At JPMorgan Chase, we are committed to fostering a dynamic and inclusive work environment where innovation thrives. As a Senior Lead Software Engineer in our Corporate Risk Technology team, you will not only have the chance to work with cutting-edge technology but also enjoy ample opportunities for career growth and development. Our culture prioritises collaboration and respect, ensuring that your contributions are valued as we collectively shape the future of risk technology.

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Contact Details:

Ccgmag Recruitment Team

We think you need these skills to ace Senior Lead Software Engineer - Java / Python - Risk Technology Data Strategy in London

Data Engineering
Software Development
Java
Python
C/C++
C#
System Design