Principal Software Engineer

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 Corporate Technology, you 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 promote best-in-class outcomes across various technologies to support one or more of the firm’s portfolios.

Our team is dedicated to delivering robust Site Reliability Engineering governance and oversight. We focus on developing scalable solutions that enhance the observability, reliability, accessibility, and interoperability of application data for authorized users. This commitment enables us to accelerate SRE initiatives with agility and efficiency.
 

Job responsibilities

• Formulates comprehensive reliability strategies across Corporate Technology and spearheading the implementation and execution
• Develops and maintain systems that allow for effective monitoring, logging, and tracing of software applications. This includes choosing appropriate tools and technologies, setting up dashboards, and ensuring the scalability and reliability of the observability infrastructure
• Participates in strategic planning for the technology roadmap, including scalability, cost-effectiveness, and risk management considerations related to observability infrastructure.
• Creates complex and scalable coding frameworks using appropriate software design frameworks
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Advises cross-functional teams on technological matters within your domain of expertise
• Serves as the function’s go-to subject matter expert
• Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
• Creates durable, reusable software frameworks that are leveraged across teams and functions

• Influences leaders and senior stakeholders across business, product, and technology teams

   

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 10+ years applied experience. In addition,  5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Extensive experience in a similar SRE or observability role and implementation of SRE principles/practices to improve system reliability and availability
• Hands on experience with observability tooling like Dynatrace, OTel, Grafana, Prometheus, Cloudwatch, etc 
• Expert in one or more programming language(s)- Java, Angular, Python and terraform
• Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud) and their services.
• Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.)
• Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.)
• Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to present and effectively communicate with Senior Leaders and Executives

• Experience leading complex projects supporting site reliability engineering design, scaling, resilience, and system performance assessments

   

• Knowledge of one or more infrastructure disciplines such as hardware, networking terminology, databases, deployment practices, integration, automation, scaling, resilience, and performance assessments.
•  Experience troubleshooting and problem solving skills related to complex data structures and algorithms