Eligibility Requirements
- Our internship program is remote based; however, the intern must be in the United States.
- Must be an undergraduate or graduate student enrolled in a degree-granting program at an accredited college or university during the internship.
- GPA of 3.0 or above (based on a 4.0 scale)
- Available to work full time (40 hours/week) for the entire program (June 9th - August 29th).
- Required to undergo a pre-employment background check.
Working closely with the department, the Intern will be responsible for the following tasks:
The Delivery Ops team is responsible for Cloud cost optimization as part of the FinOps practice. FinOps goes far beyond purchasing savings plans and pre-reserve discounts. It requires continuous monitoring and action. While cost analysis tools, such as CloudZero, or AWS Trusted Advisor, provide great recommendations, it is up to the teams to implement best practices and policies that would continuously reduce cloud waste. The Delivery Ops team has identified a list of code optimization policies that can be implemented through automated scripts and frameworks, such as Python and AWS SDK for Python. Implementation of these optimizations will be a positive long-term contribution towards AWS best practices and help roll out FinOps and cloud optimization.
- Automate routine AWS resource management tasks using Python scripts.
- Identify opportunities to increase operational efficiency in AWS Cloud by analyzing AWS cost analysis reports and by reviewing footprints of cloud resources.
- Write well tested, readable code using Python that is capable of handling AWS resource cleanup tasks and regular configuration management.
- Contribute to implementation of additional governance and compliance policies for AWS.
- Author documentation related to the cost optimizations standards and essential knowledge that can be shared with Engineering Teams.
- Demonstrate completed tasks and completed project to team members.
Major Initiatives
- Increase Operational Efficiency for CloudOps Team through automation and optimizations.
- CI/CD pipeline modernization by converting existing pipeline code to GitHub Actions workflows.
- Verify new/updated automation work to support cloud optimization tasks (positive testing and negative testing) in Test environments.
- Document automation scripts and procedures
- Intern capstone project
Qualifications & Skills
- Solid knowledge of Python programing and experience in writing reusable modules in Python
- Good understanding of code versioning using Git (GitHub).
- Knowledge of relevant methodologies and technologies such as Infra as Code (Terraform), CI/CD pipelines (GitHub Actions), Public Cloud Computing (AWS) would be preferable.
- Demonstrated ability to work efficiently, meet deadlines, and manage multi-dimensional projects.
- Ability to work and manage input from multiple teams to produce desired results.
- Excellent written/oral skills
Preferred Qualifications & Skills
- Familiarity with Agile Framework
- Knowledge of Well Architected Framework in AWS
- General AWS Cloud resource knowledge like EC2, S3, EBS, Lambda etc.
- Experience with boto3 libraries
Somos is committed to a diverse and inclusive workforce and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.This job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of this position. Aspects of this job description may change at any time, with or without notice.This job description is not intended as and does not create an employment contract.
The organization maintains its status as an at-will employer. Employees can be terminated for any reason not prohibited by law.Employees must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.