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For Companies At a Glance
- Tasks: Design and develop cloud-based applications while leading innovative tech solutions.
- Company: Join JPMorgan Chase, a leader in financial technology with a dynamic team.
- Benefits: Competitive salary, health benefits, remote work options, and career advancement opportunities.
- Why this job: Make a real impact in the world of Cloud AI/ML and push tech boundaries.
- Qualifications: Proficient in programming languages and experienced in cloud development.
- Other info: Be part of a collaborative environment that fosters innovation and growth.
The predicted salary is between 48000 - 72000 £ per year.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank's Post Trade Tech Team, 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:
- Design, develop, and implement cloud-based applications and services.
- Collaborate with architects and engineers to ensure design solutions are aligned with business goals.
- Optimize applications for performance, scalability, and security.
- Identify opportunities to eliminate or automate the remediation of recurring issues to enhance the overall operational stability of software applications and systems.
- Participate in code reviews and provide constructive feedback to peers.
- Stay up to date with emerging Cloud and AI / ML technologies and industry trends to drive innovation and continuous improvement.
- Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and proficient advanced experience.
- Highly experienced in cloud development, with a focus on application design and development.
- Proficiency in programming languages such as Java, Python, or other major languages.
- Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
- Experience building RESTful APIs and working with event-driven or serverless architectures.
- Experience with AI / ML model integration, prompt engineering, or LLM APIs (OpenAI, Bedrock).
- Experience with Git, CI / CD pipelines, automated testing frameworks and DevOps practices.
- Experience with monitoring and logging tools like CloudWatch, Dynatrace, Datadog, Prometheus, Grafana, or ELK stack.
- Strong understanding of cloud security best practices.
- Proficiency in data warehousing solutions like Snowflake and Iceberg and relational databases such as RDS or Oracle.
- Experience in Infrastructure as code (IAC) such as Terraform or equivalent.
Preferred qualifications, capabilities, and skills:
- Experience in automation in any scripting languages such as python / groovy etc.
- Relevant certifications such as AWS Certified Developer, Microsoft Certified: Azure Developer, or Google Professional Cloud Developer.
- Familiarity with database technologies such as SQL, NoSQL, and cloud-native databases.
- Familiarity with containerization technologies such as Docker and Kubernetes.
- Experience with building out loosely coupled software and familiarity with SOA / Microservice architectures.
Lead Software Engineer - Cloud AI/ML in Bournemouth employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer - Cloud AI/ML in Bournemouth
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your cloud-based applications and AI/ML projects. This is your chance to demonstrate what you can do beyond just a CV—let your work speak for itself!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with cloud platforms and programming languages. Practice common interview questions and think about how you can relate your past projects to the role.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly shows your enthusiasm and commitment to joining our team at JPMorgan Chase.
We think you need these skills to ace Lead Software Engineer - Cloud AI/ML in Bournemouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Software Engineer role. Highlight your experience with cloud development, programming languages like Java or Python, and any relevant certifications. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about cloud AI/ML technologies and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool projects related to cloud applications or AI/ML, make sure to mention them! Include links to your GitHub or any live demos. We’re keen to see your hands-on experience and creativity in action.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our awesome team at StudySmarter!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially cloud platforms like AWS, Azure, or Google Cloud. Brush up on your programming skills in Java and Python, and be ready to discuss your experience with RESTful APIs and serverless architectures.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled recurring issues in past projects. Be ready to discuss specific instances where you optimised applications for performance and security, as this will demonstrate your ability to enhance operational stability.
✨Stay Current with Trends
Familiarise yourself with the latest trends in AI/ML and cloud technologies. Mention any recent innovations or tools you’ve explored, as this shows your commitment to continuous improvement and innovation in your field.
✨Engage in Code Reviews
Be prepared to talk about your experience with code reviews and how you provide constructive feedback. This is crucial for a collaborative environment, so share examples of how you’ve helped peers improve their code quality.
