DevOps Engineer

Algotery is an AWS Service Partner and AI-native software house helping companies transform through cloud-native architectures, intelligent automation, and scalable engineering solutions. We build secure, resilient systems that empower organizations to innovate faster.

We’re looking for a DevOps Engineer with strong AWS and Cloud Infrastructure experience to join our team. You’ll play a key role in designing, building, and maintaining the robust infrastructure that powers our AI and software solutions.

What You’ll Do:

• Design, implement, and manage cloud infrastructure on AWS using Infrastructure-as-Code (IaC) tools (e.g., Terraform, CloudFormation).
• Build and maintain CI/CD pipelines to automate build, test, and deployment workflows.
• Manage containerization and orchestration using Docker and Kubernetes (EKS preferred).
• Monitor system performance, troubleshoot issues, and ensure high availability, security, and scalability.
• Collaborate with AI engineers, developers, and cloud architects on delivery of production-grade systems.
• Optimize cloud costs and continuously improve infrastructure performance.

What You’ll Bring:

• Proven experience as a DevOps Engineer working with AWS environments.
• Strong hands-on skills with Terraform, CloudFormation, or similar IaC tools.
• Solid experience with Docker, Kubernetes (EKS), and container orchestration best practices.
• Experience designing secure, highly available, and cost-optimized cloud architectures.
• Familiarity with monitoring, logging, and alerting tools (e.g., CloudWatch, Prometheus, ELK Stack).
• Strong scripting skills (Python, Bash, or similar).
• Excellent problem-solving, communication, and collaboration skills.

Why work with us:

• Be part of a growing AWS Service Partner delivering next-gen cloud & AI solutions.
• Work with a global team of skilled engineers and cloud specialists.
• Flexible remote contract with opportunities for long-term work.
• Tackle exciting projects where your expertise makes a real impact.

Location: Remote

Type: Contract (6–12 months, with potential extension)