As a Lead Architect at JPMorgan Chase within the Cloud Financial Management organization, you provide expertise to enhance and develop architecture platforms based on modern cloud-based technologies. This role requires both design and hands-on coding capabilities to create and implement cloud solutions, with a specific focus on cost optimization. Leverage your advanced architecture skills and collaborate with colleagues across the organization to drive best-in-class outcomes.
Our team delivers comprehensive financial management solutions for optimizing cloud resource usage, cost efficiency, and performance. We focus on leveraging cloud technologies to drive digital transformation and cloud adoption throughout the firm.
Job Responsibilities
Design and implement cloud-based solutions that optimize resource usage and cost efficiency, with a focus on both architecture design and hands-on coding.Develop and maintain architecture standards, including cloud resource management and governance frameworks.Build and maintain pipelines for cost optimization, ensuring efficient data flow and processing.Develop an optimization and recommendation engine to enhance cost efficiency within the Cloud Financial Management organization.Collaborate with domain teams to understand their cloud needs and provide guidance on best practices for cloud solution development.Leverage AWS services (e.g., S3, EC2, Lambda, Glue) to build scalable and secure cloud solutions, actively engaging in coding and development.Utilize AWS Step Functions to automate complex business processes, enhancing operational efficiency.Implement governance and security measures to ensure compliance with industry standards.Write and analyze Splunk queries to interpret AWS CloudTrail logs, ensuring robust monitoring and security.Monitor and optimize the performance and scalability of cloud infrastructure.
Required Qualifications, Capabilities, and Skills
Formal training or certification on software engineering concepts and 5+ years of applied experience Proficiency in Python and SQL, with the ability to write efficient and scalable code for data processing and analysis.Exposure to Data Lake or Big Data technologies, with familiarity in working with large-scale data storage solutions.Strong knowledge of AWS, including the ability to design, implement, and manage cloud-based solutions using services such as S3, EC2, Lambda, and Glue.Proficiency in Terraform for infrastructure as code to automate the provisioning and management of cloud resources.Experience in producing technical documentation and/or user guides, with the ability to create clear, concise, and comprehensive materials for various stakeholders.Demonstrated ability to design and build architecture solutions, with hands-on coding and development experience.Experience in cost optimization strategies and building pipelines and engines for resource efficiency.Experienced in using AWS Step Functions to automate complex business processes.Experienced in writing Splunk queries to analyze AWS CloudTrail logs.