Negotiable
Inside
Remote
Remote
Summary: This role involves collaborating with the engineering team, EPM, and customers to facilitate migration tasks, including developing tools for data movement and assisting customers in transitioning their Python clients to a new SDK. The position requires effective communication with multiple partner teams and customers to deploy next-generation services. The role is remote and operates under a W2 contract.
Key Responsibilities:
- Work with the engineering team, EPM, and customers on migration tasks.
- Develop tooling for moving data and assist customers in transitioning to the new SDK.
- Support multiple customers for next-generation services.
- Collaborate with partner teams and customers to deploy services.
Key Skills:
- Thorough knowledge of Java, Python, Data Infrastructure, and PostgreSQL.
- Experience with infrastructure technologies like Kube, Helm, and familiarity with Data/ML infrastructure and operations.
- Experience with production systems, deployments, releases, and CI/CD pipelines.
- Understanding of distributed systems.
- Familiarity with technologies like Spark and Data Lakes (e.g., Iceberg).
- General knowledge of AWS S3.
- Good communication skills with internal customers.
Salary (Rate): £52.50 hourly
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
BE Software Engineer: Java-Python (Data Infrastructure)
W2 Contract
Pay Rate: $55 - $65 per hour
Location: Cupertino, CA - Remote Role
Job Summary:
This role would work with the engineering team, EPM, and customers, and will work on migration tasks. This will include tooling for moving data as well as working with customers to change their Python clients to start using the new SDK. Our team also supports multiple customers for our next-generation services. The job role requires being able to work with multiple partner teams and customers to deploy our services in these accounts.
Requirements and Qualifications:
- Thorough knowledge of Java, Python, Data Infrastructure, and PostgreSQL
- Experience working with infrastructure technologies like Kube, Helm, etc., and familiarity with Data/ML infrastructure and operations.
- Experience working with production systems and knowledge of deployments, releases, and CI/CD pipelines
- Understanding of working with distributed systems
- Understanding of technologies like Spark and Data Lakes (like Iceberg)
- General knowledge about AWS S3.
- Good communication skills with internal customers
Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate.
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