Software Engineer

Machine Learning with Cloud and Python / GOLang (Software Engineer)

Duration:
06+ months
Potential contract to hire

Location: Remote option and EST Time Zone preferred

The position is W2 remote role.

Job Description:

What You Will Do:

• Design and implement AI Agents to monitor and optimize cloud resources based on findings and recommendations from Cloud Service Providers.
• Develop predictive models for drift detection, cost anomaly detection, and forecasting of public cloud resources and spend.
• Automate operational workflows using machine learning and intelligent scripting.
• Integrate AI-driven insights with Cloud Service Providers like AWS, GCP, Azure, and existing data and tools.
• Conduct anomaly detection for security, cost optimization, and performance analytics.
• Design, build, and maintain scalable ETL pipelines using AWS Glue and other cloud-native services.
• Utilize AWS Athena for interactive querying of data stored in data lakes.
• Manage and optimize data storage and processing using Snowflake cloud data platform.
• Orchestrate complex workflows and data pipelines using Apache Airflow DAGs.
• Continuously evaluate emerging AI technologies and tools for operational improvements.
• Maintain documentation and best practices for AI/ML integration in cloud systems.

Our Minimum Requirements Include:

• Bachelor's or Master's degree in Computer Science, Data Science, or related technical field, or equivalent experience.
• Proven ability building and deploying ML models, with at least 2 years focused on cloud operations.
• Solid knowledge of cloud technologies (AWS, GCP, Azure, OCI).
• Experience with Python, PySpark, and ML libraries such as PyTorch, TensorFlow, or scikit-learn.
• Comfortable working with streaming data, APIs, and telemetry systems.
• Experience with AWS Glue ETL, AWS Athena, Snowflake, and Apache Airflow DAGs.
• Strong communication and multi-functional collaboration skills.
• Experience with Agile and DevOps operating models, including project tracking tools (e.g., Jira), Git (any Version Control systems), and CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins).
• Proficient in general-purpose programming languages (Python, Golang, Bash) and development platforms and technologies.

Preferred Qualifications:

• Understanding of Cloud Technologies and Services of one or more providers including AWS, GCP, Azure, Oracle, and Alibaba.
• Established record of leading technical initiatives, delivering results, and a commitment to fostering a supportive work environment.
• Hard-working, dedicated to providing quality support for your customers.