Lead Architect, Cloud Cost Optimization
Lead Architect, Cloud Cost Optimization
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$ 152000 - 215000
1 Vacancy
Job Description
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 cloudbased technologies. This role requires both design and handson 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 bestinclass 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 cloudbased solutions that optimize resource usage and cost efficiency with a focus on both architecture design and handson 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 largescale data storage solutions.
- Strong knowledge of AWS including the ability to design implement and manage cloudbased 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 handson 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.
Employment Type
Full-Time
