Senior DevOps (AWS, Azure) Engineer Offline
Employment Type: Full-time first month, after part-time
Engagement duration: Up to 3 month.
Varyence isnβt just an IT company, itβs like a second home to our awesome employees. Are you on the hunt for a company with straightforward processes, a tech-savvy and ultra-enthusiastic squad?
If that sounds like your jam, no need to think twice β dive into the details below. If you find it exciting, go ahead and submit your application.
Your journey with Varyence awaits!
Project overview: A tech-powered live entertainment ecosystem, initially focusing on premium quality live streaming and functionality across the ticketing functionality.
Team Size: 12 team members (Ukraine).
Interview Stages:
1) HR Interview β up to 30 minutes;
2) Technical pre screen Interview β up to 30 minutes.
If you possess the following experience and skills, you would be an excellent fit for our team:
β Strong proficiency in cloud platforms such as AWS, Azure;
β 5+ years of experience in in DevOps Engineering;
β Cloud, with experience in managing large-scale environments;
β Hands-on experience with AWS CDK (Cloud Development Kit) for TypeScript;
β Hands-on experience with automation tools such as Terraform, Pulumi, Ansible, or other Infrastructure as Code (IaC) technologies;
β Deep understanding of DevOps principles, including CI/CD pipelines, infrastructure automation, and monitoring;
β Knowledge of security best practices, with experience implementing secure cloud environments;
β Upper-Intermediate English;β―β―
β Solid understanding of containerization technologies (e.g., Docker, Kubernetes);
β Excellent problem-solving skills and the ability to troubleshoot complex system issues;
β Strong communication skills and the ability to collaborate effectively with cross-functional teams.
Your responsibilities will include the following tasks within your workflow:
β Cloud infrastructure management. Design and manage scalable cloud infrastructure on AWS or Azure to support high-traffic live streaming and ticketing systems;
β Automate infrastructure provisioning using AWS CDK, Terraform or Pulumi;
β Develop CI/CD pipelines;
β Set up monitoring tools for system health and performance during high-traffic events;
β Ensure infrastructure is scalable with auto-scaling and load balancing solutions to handle varying traffic loads;
β Work closely with the team to align infrastructure needs with project goals.