Overview
Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship
Skills
AI ML
Machine Learning (ML)
Artificial Intelligence
Application Development
Golang
PySpark
Python
PyTorch
Bash
AngularJS
Scripting
Streaming
Snow Flake Schema
Apache Airflow DAGs
Job Details
Job Title: Engineering (US) - Software Engineer 1
Duration: Potential contract to hire : Start/End Dates: 11/17/2025 - 4/25/2026
Location: Remote option and EST TimeZone preferred
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, Google Cloud Platform, 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, Google Cloud Platform, 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, Google Cloud Platform, 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.
- Full stack development experience with Angular for frontend and Flask for backend application development
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.