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Description:
The company is seeking a Staff Cloud Engineer to contribute to changing the way businesses operate and be part of a high-growth team.
The role involves working on next-generation cloud and applications utilizing AWS, Kafka, DevOps, containers, AI, and ML technologies.
Responsibilities include guiding technical decisions, leading platform architecture and design, mentoring developers, prototyping concepts, and staying updated on cloud trends.
The position requires automating tasks, managing Infrastructure as Code, supporting software releases, and enabling teams to self-manage effectively.
Requirements:
Must have a passion for continuous learning and Cloud development.
A BS/MS in Computer Science or equivalent practical experience is required.
Need at least 4 years of experience with Cloud technologies and languages like Javascript, Typescript, Python, Kotlin, Java, and Node.js.
Proficiency in AWS Cloud services such as EC2, Lambda, ECS, RDS, and DocumentDB is essential.
Experience in building event-driven architectures at high scale using Kafka is necessary.
Familiarity with Infrastructure as Code using Terraform & Cloudformation is a must.
Should have expertise in high availability deployment across multiple regions and availability zones.
Deep understanding of observability tools like SumoLogic, DataDog, CloudWatch, or similar is required.
Strong experience with Git, Github, Pull Request, and Rebasing is necessary.
Ability to work in a fast-paced, collaborative, and iterative development environment is essential.
Must be capable of leading and defining cloud initiatives with other engineers.
Experience with establishing best practices in Cloud codebases, building reusable libraries, and managing Https web services using REST is required.
Benefits:
Opportunity to work with a high-growth company and contribute to disrupting industries.
Chance to collaborate with experts in AI, IoT, Cloud, and Mobile technologies.
Work on a tech stack designed for high scale and processing tens of millions of events daily.
Mentorship opportunities and the ability to shape the architecture of the cloud platform.
Exposure to cutting-edge technologies like AI, ML, and serverless architectures.
Remote work flexibility and a fast-paced, innovative work environment.