At a Glance
- Tasks: Design and build innovative data engineering solutions to tackle complex challenges.
- Company: Join JPMorgan Chase, a leader in risk technology with a focus on collaboration.
- Benefits: Enjoy competitive pay, career growth, and a diverse, inclusive workplace.
- Other info: Be part of a creative team that values your ideas and fosters continuous improvement.
- Why this job: Make a real impact with cutting-edge tech while shaping the future of risk management.
- Qualifications: Proficient in Java or Python, with experience in data platforms and agile methodologies.
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 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: United States Digital Space LLC
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 and impactful.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Lead Software Engineer - Java / Python - Risk Technology Data Strategy in London
✨Join Local Tech Meetups
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We think you need these skills to ace Senior Lead Software Engineer - Java / Python - Risk Technology Data Strategy in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at United States Digital Space LLC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at United States Digital Space LLC
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If United States Digital Space LLC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
