We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. Are you ready to bring your Lead Software Engineering expertise to the next level?
The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The Chief Data & Analytics team (CDAO) is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly
As a Lead Software Engineer at JPMorgan Chase within Corporate Chief Data & Analytics - AIML Data Platforms Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
Designs and develops creative software solutions, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, equity, inclusion, and respectDevelops collaborative relationships with local and remote Application Development Teams and a Global Platform Engineering Organization.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s), including Python, Golang, Terraform HCL Proficiency in automation and continuous delivery methodsProficient in all aspects of the Software Development Life Cycle and ability to support development teams in their use of SLDC Products. Advanced understanding of agile methodologies such as CI/CD, Platform Stability / Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)In-depth knowledge of the financial services industry and their IT systemsPractical cloud native experience across Internal and External Cloud ProvidersExperience of Infrastructure as Code Providers e.g. Terraform, and their usage to provision infrastructure across different Operating Environments e.g. On Premise and Cloud. Experience operating Kubernetes Clusters through the development, testing and production lifecycles including the investigation of Software Deployment Problems within the cluster.
Preferred qualifications, capabilities, and skills
Experience developing automated solutions and scripts using Python to enhance operational efficiency and reduce manual intervention.Experience deploying, managing, and optimizing infrastructure on AWS Cloud, including familiarity with AWS services such as EC2, S3, Lambda, and RDS.