Python Test Lead AI – C2C – Hybrid– San Francisco, CA
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-07-23
Listing for:
US staffing Inc
Full Time
position Listed on 2026-07-23
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Data Engineering, AWS
Job Description & How to Apply Below
Python Test Lead
San Francisco, CA – Contract
Key Responsibilities- Design, build, and maintain scalable cloud data architectures and automated solutions that support data ingestion, processing, and storage.
- Develop automation frameworks and tools for deploying and managing cloud infrastructure and data services.
- Collaborate with data engineers, Dev Ops teams, and data scientists to implement end‑to‑end data pipelines and workflows.
- Ensure automation of data quality, security, and governance processes, enabling seamless integration across cloud environments.
- Drive the implementation of cloud best practices, including monitoring, disaster recovery, security, and cost optimization.
- Lead efforts in automating testing, deployment, and monitoring of data infrastructure.
- Evaluate and recommend tools and technologies to improve automation processes for cloud data platforms.
- Provide technical leadership, mentoring, and knowledge sharing within the team.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 7+ years of experience in data architecture, cloud infrastructure, and automation.
- Hands‑on experience with cloud platforms like AWS, Azure, or Google Cloud, with deep expertise in services such as AWS Lambda, S3, RDS, EMR, Azure Data Factory, Databricks, etc.
- Hands‑on experience in Python, PySpark, PyTest, Docker.
- Strong knowledge in Kafka and MongoDB.
- Strong knowledge of infrastructure‑as‑code (IaC) tools such as Terraform, Cloud Formation, or Ansible.
- Proven expertise in automating data pipelines using tools like Apache Airflow, Jenkins, or similar CI/CD tools.
- Proficiency in scripting and programming languages (e.g., Python, Bash, Java).
- Experience with big data technologies such as Hadoop, Spark, or Kafka.
- Strong knowledge of Dev Ops methodologies and containerization tools (e.g., Docker, Kubernetes).
- Deep understanding of data security, privacy, and compliance in cloud environments.
- Excellent problem‑solving and communication skills.
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