Senior AWS DevOps Engineer

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Coderio

201 - 500 employees

Founded 2017

🤝 B2B

🏢 Enterprise

🤖 Artificial Intelligence

B2B • Enterprise • Artificial Intelligence

Coderio is a nearshore software development firm that provides on-demand engineering teams, IT staff augmentation, and fully managed software outsourcing to accelerate clients' digital transformation. They deliver front-end, back-end, mobile, cloud, data science, e-commerce, and QA solutions, and operate specialized studios for Data Governance, Machine Learning & AI, and Open Banking. Coderio emphasizes enterprise-level, timezone-aligned, fully-vetted, English-proficient engineering talent for B2B customers.

📋 Description

• Design, implement, and manage scalable, secure, and highly available cloud infrastructure primarily on AWS. • Build, maintain, and improve Infrastructure as Code solutions using Terraform, CloudFormation, or similar technologies. • Design and optimize CI/CD pipelines to enable reliable, automated software delivery across multiple environments. • Deploy, manage, and optimize containerized workloads using Docker and Kubernetes. • Implement monitoring, logging, alerting, and observability solutions to ensure platform reliability, performance, and operational excellence. • Apply cloud security best practices, IAM policies, secrets management, vulnerability remediation, and compliance standards across infrastructure. • Partner closely with software engineers, architects, and technical leadership to improve deployment processes, platform scalability, and developer experience.

🎯 Requirements

• 7+ years of professional experience in DevOps, Cloud Engineering, Site Reliability Engineering, or Infrastructure Engineering. • Strong hands-on experience designing and operating production workloads on AWS, including services such as EC2, VPC, IAM, ECS/EKS, Lambda, CloudWatch, RDS, S3, Route 53, and Auto Scaling. • Proven experience with Terraform, CloudFormation, or equivalent IaC tools. • Solid experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar platforms. • Strong experience with Docker and Kubernetes in production environments. • Experience implementing observability solutions using CloudWatch, Datadog, Grafana, Prometheus, New Relic, or similar tools. • Proficiency with Bash, Python, or similar scripting languages for automation.

🏖️ Benefits

• 100% remote work. • Long-term international projects. • Opportunity to work with modern cloud-native technologies. • High-impact role with strong technical ownership. • Collaborative international team with experienced engineering leadership. • Continuous learning and professional growth opportunities.

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