AWS DevOps Lead

January 8

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Tiger Analytics

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Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

Machine Learning • Predictive Analytics • Forecasting • Optimization • Natural Language Processing

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

📋 Description

Tiger Analytics seeks a talented DevOps Lead to design and maintain AWS cloud infrastructure. • You will ensure business continuity and scalability in a highly dynamic environment. • Leverage your experience in cloud architecture, DevOps tools, and best practices. • Lead the team in creating and delivering innovative and custom solutions for clients. • Evaluate, design, and implement AWS cloud solutions, ensuring high scalability, availability, and security. • Lead and coordinate DevOps activities, including CI/CD pipelines, IaC, and configuration management. • Collaborate with teams to identify infrastructure requirements and recommend solutions. • Develop automation scripts and tools for streamlined cloud deployments. • Ensure adherence to cloud architecture principles, security policies, and requirements. • Monitor cloud infrastructure performance and recommend preventive actions. • Provide technical guidance and training to enhance AWS and DevOps skills.

🎯 Requirements

Experience with AWS DevOps for building and deploying applications. • In-depth knowledge of IaC technologies and tools, such as CFT or Terraform,CI CD, AWS Code pipeline and Github action. • Experience in AWS Cloud Engineering experience (AWS S3, IAM, EC2, Lambda, ECS, Docker). • Strong scripting and automation skills, using languages like Python. • Experience with Data Engineering background and experience - Data Pipeline, ETL, SQL.

🏖️ Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.