- Experience
- 3–5 yrs
- Salary
- —
- Openings
- 1
- Posted
- 6 days ago
- Work mode
- In office
- Education
- Degree in Information Technology or related field
- Resume
- Required to apply
Where you'll work
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Job description
Role Overview
This position requires designing, constructing, and refining secure cloud infrastructures and data pipelines. The role emphasizes proactive exploration, evaluation, and implementation of innovative software solutions, architectural approaches, and automation frameworks to advance the operational effectiveness of the IT department.
Key Duties
- Evaluate new database technologies, cloud platforms, and automation tools through technical proof-of-concept exercises to foster ongoing system innovation.
- Develop, test, and deploy quantitative algorithms, statistical processing workflows, and automated logic within application environments.
- Create and maintain scalable data pipelines and robust ETL workflows to automate data integration across departments.
- Set up, manage, and oversee resilient cloud infrastructure and storage systems within the AWS ecosystem to guarantee consistent availability.
- Implement secure integration mechanisms including webhooks and API connections to link cloud backends to live production environments.
- Monitor platform performance and troubleshoot system bottlenecks related to infrastructure scalability and algorithm execution to prevent degradation.
- Ensure all new technologies, cloud setups, and data workflows comply fully with corporate data classification and governance standards.
Candidate Profile
- Holds a degree in Information Technology, Computer Science, Engineering, or another quantitatively focused discipline.
- Possesses 3 to 5 years of solid experience in cloud infrastructure, data engineering, and technology evaluation or research and development roles.
- Demonstrates independent foresight in assessing technology trends, benchmarking alternatives, and creating isolated prototype environments.
- Experienced with AWS core services such as S3, EC2, IAM, and CloudWatch for cloud computing infrastructure.
- Skilled in data engineering including complex SQL, pipeline architecture, and query tools like AWS Athena.
- Proficient in programming for both infrastructure scripting and data processing logic development.
- Practical experience using cloud execution platforms such as AWS SageMaker and Bedrock for deploying operational logic components.
- Familiar with workflow orchestration solutions and custom API integration tools, for example, n8n.