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AI Cloud Automation Solutions Developer
2 tygodni temu
At Jit Team, we are seeking an exceptional Software Engineer to join our fast-growing team. This role offers a unique opportunity to work on building automation solutions that enable machine learning engineers to continuously deliver predictive analytics related to athlete performance, forecasting, personalization, and inventory optimization.
This position requires collaboration with a team of architects, platform engineers, and machine learning specialists to develop new models, test them, and deploy them at scale in the cloud using APIs, stream processing, and batch processing. Your work will contribute to our client's core mission of serving athletes by leveraging cloud-native applications, APIs, and data pipelines with a focus on automation, testing, and security.
Key Responsibilities- Design and implement scalable automation solutions for machine learning workflows
- Collaborate with cross-functional teams to develop and deploy cloud-based models
- Work with latest cloud technologies, specifically focusing on serverless architecture in AWS
- Develop and maintain high-quality code, following Agile development methodologies
- Participate in code reviews and contribute to the improvement of the overall software quality
- Solid experience as a Software Engineer with knowledge in MLOps
- Bachelor's degree in computer science, software engineering, or related field is preferred
- Experience with system configuration management tools such as Ansible, Puppet, or Chef
- Hands-on experience with CI/CD infrastructure using tools like Git, Jenkins, or similar
- Knowledge of Docker, Kubernetes, Mesos, and related container management systems
- Proficiency with AWS services, particularly IAM, ECS/EKS, EMR, S3, and Lambda/Serverless
- Preferred experience with Infrastructure as Code tools such as CloudFormation or Terraform
- Strong proficiency in Python, shell scripting, and SQL
- Cloud computing (AWS: IAM, ECS/EKS, EMR, S3, Lambda/Serverless)
- Container management (Docker, Kubernetes, Mesos)
- Infrastructure as Code (CloudFormation, Terraform)
- Machine learning and advanced data analytics (Spark, Databricks, Snowflake)
- CI/CD tools (Git, Jenkins)
- Programming languages (Python, SQL, shell scripting)
- Stream and batch processing for large datasets
We offer a dynamic and international work environment, where you will have daily contact with the English language. Our team prioritizes the well-being of its members and provides developmental projects, a wide range of benefits, and a proprietary professional development program.