Houston, TX, USA
1 day ago
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 executionDevelops 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 infrastructureParticipates 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 frameworksDevelops secure and high-quality production code, and reviews and debugs code written by othersAdvises cross-functional teams on technological matters within your domain of expertiseServes as the function’s go-to subject matter expertContributes to the development of technical methods in specialized fields in line with the latest product development methodologiesCreates 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 expertiseHands-on practical experience delivering system design, application development, testing, and operational stabilityExtensive experience in a similar SRE or observability role and implementation of SRE principles/practices to improve system reliability and availabilityHands on experience with observability tooling like Dynatrace, OTel, Grafana, Prometheus, Cloudwatch, etc Expert in one or more programming language(s)- Java, Angular, Python and terraformProficiency 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

 

Preferred qualifications, capabilities, and skills 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
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