Platform Engineer
2 months ago
Responsibilities:
• Develop scalable cloud platforms and micro-services APIs.
• Lead and mentor teams, fostering a culture of best practices and agile methodologies.
• Oversee Big Data processing and Data science teams, while promoting strong software architectural practices.
• Manage multiple high-priority technology streams effectively.
• Evaluate, onboard, and productionize modern data lake technologies.
• Integrate and supervise the migration of data from legacy systems to new solutions.
• Monitor performance and advise necessary infrastructure changes.
• Prepare database design and architecture reports, and define data retention policies.
• Develop and implement Big Data pipelines and ETL processing.
• Implement automated testing frameworks and CI/CD pipeline implementations.
• Ensure data security and privacy standards are met.
• Analyze and manage data effectively.• Must possess a minimum of 7 years of relevant experience in platform engineering.
• Proficiency in Amazon CloudWatch, Amazon EC2, Ansible, and Atlassian Jira is mandatory.
• Experience with Auto Scaling, API Development, Automation, and AWS Technologies is required.
• Familiarity with Backup Technologies and Cluster Analysis is highly desirable.
• Extensive knowledge of Amazon Web Services (AWS) and Microsoft Azure is crucial.
• Prior experience in cloud engineering, Apache Kafka, MongoDB, and microservices is expected.
• Proficiency in Java and Java Application Development is necessary.
• Familiarity with Scrum and Agile Development methodologies is needed.
• Experience with Elasticsearch Technologies, NoSQL, and PostgreSQL is preferred.
• Knowledge of Architectural Engineering and Platform development is essential.
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