Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Leverage AWS services (e.g., S3, EC2, Athena, Lambda, Glue) to build scalable and secure cloud solutions.
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets to identify cost saving opportunities for the firm.
Develop an optimization and recommendation engine to enhance cost efficiency within the Cloud Financial Management organization.
Build and maintain pipelines for cost optimization, ensuring efficient data flow and processing.
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.
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
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.
Hands-on practical experience in system design, application development, testing, and operational stability
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)