What You'll Do
- Assist in building cloud infrastructure for scalable machine learning systems aimed at detecting modern malware, advanced cyber threats, and malicious user behavior.
- Support the creation and maintenance of high-performance systems capable of handling Big Data and help building infrastructure for large-scale data processing and Machine Learning computations.
- Help creating resilient and scalable infrastructure for target applications under the guidance of experienced engineers.
- Learn and support the use of AWS services like Redshift, RDS, ECS, SQS, SNS, and S3 for data processing and transformation.
- Help monitoring the application health and status to ensure stability and high availability.
- Collaborate with engineers on code reviews, progress updates, and system requirements.
Minimum Requirements
- Currently studying towards a degree in Computer Science or a related field.
- Familiarity with programming languages such as Python, Java, or Kotlin.
- Knowledge of network configuration and support from academic projects or labs
- Fluent English
Preferred Requirements-
The below requirements are not mandatory.
- Experience delivering a SaaS-based software product.
- Experience with project tracking, version control and continuous integration tools (e.g., Jira, Git, Jenkins, TeamCity, GitHub actions).
- Experience with application performance monitoring & error tracking solutions.
- Experience testing software code (writing automated unit tests, automating end-to-end tests).
- Understanding of cloud systems (preferably AWS).
- Strong verbal and written communication and advocacy skills, with the ability to express complex/technical issues in clear concise terms.
- Willingness to work across teams and share knowledge and ideas.
- Teamwork spirit and enthusiasm for working on complex cutting-edge systems.
- Proactive attitude with a willingness to take initiative and complete tasks.
- Understanding of at least one cloud automation technology (e.g., Terraform, Cloud Formation).
o We connect everything – people, process, data and things – and we use those connections to change our world for the better.
o We benefit everyone - We do all of this while striving for a culture that empowers every person to be the difference, at work and in our communities.