QA Automation Architect - Jersey City, NJ - Hybrid Model

Title : Automation Architect

Location : Jersey City, NJ

Hybrid Model

Skills Must : Automation Architect, DevOps, Python, Pytest, Selenium

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, DevOps 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.

Qualifications :

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 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, PyTest, Docker
• Strong knowledge in Kafka and MongoDB
• Strong knowledge of infrastructure-as-code (IaC) tools such as Terraform, CloudFormation, 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 DevOps 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.
1 day ago