If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place.
As a Principal Software Engineer at JPMorgan Chase within the Corporate Technology, you will provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios.
Our Machine Learning Engineering leadership team, tackle complex business challenges through innovation and engineering excellence. In this senior leadership role, you'll leverage your deep technical expertise and strategic vision across the full software development lifecycle while partnering closely with stakeholders to achieve shared objectives
Job responsibilities
- Partner with product owners to define firm-wide technology strategies and roadmaps across JPMorgan Chase.
- Serve as a trusted advisor to senior business and technology stakeholders, translating complex technical concepts into actionable business insights.
- Provide hands-on thought leadership for building on-premises and cloud-based Machine Learning platforms capable of deploying and running predictive models at scale.
- Architect, design, and integrate new solutions within a large-scale enterprise environment of to deliver highly distributed, scalable, secure, and resilient applications.
- Stay current with industry-wide technology trends, best practices, and emerging developments in Machine Learning.
- Drive innovation by ensuring JPMorgan Chase maximizes the business benefits of adopting market-leading technology capabilities.
- Rapidly evaluate, pilot, and scale new innovations in close collaboration with product owners.
- Establish standards, governance frameworks, and best practices for the ML Platform.
- Direct implementation of comprehensive monitoring and alerting solutions to ensure optimal performance, scalability, availability, and reliability.
- Solve complex problems involving large datasets and optimize existing ML libraries and frameworks.
- Work effectively within large, cross-functional teams to achieve organizational goals.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 10+ years applied experience
- Proven experience building application frameworks and/or platform development at an enterprise scale.
- Deep knowledge of solution design patterns and experience building resilient solutions across on-premises and cloud environments, including associated security considerations.
- Proven experience in building high-volume, low-latency, high-throughput transactional systems using java & spring boot
- Strong background with Machine Learning frameworks and Big Data technologies such as spark and hadoop.
- Experience working with one or more cloud platform providers, including Azure, AWS, and Databricks.
- Demonstrated ability to define application solution architecture and technology roadmaps.
- Exceptional written and verbal communication skills, with the ability to influence and advise senior stakeholders.
- Proven ability to juggle multiple priorities and deliver effectively in a fast-paced, dynamic environment.
- Passionate about building an innovative culture and driving continuous improvement.
- Comfortable working in an Agile, collaborative environment with a commitment to excellence and a customer-first mindset.
Preferred qualifications, capabilities and skills
- Experience building ML models, including model accuracy assessment, tuning, and optimization.
- Experience in MLOps and building model serving applications
- Experience in working with structured data and NLP models.
- Experience with Python
- Certification in Databricks and AWS