Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.
🌍 More information: http://coderio.com
We are looking for a Senior AWS DevOps Engineer to join one of our international clients and play a key role in designing, automating, and maintaining cloud infrastructure that supports mission-critical applications at scale.
This is a hands-on engineering role where you will collaborate with development teams to build secure, reliable, and highly available cloud environments while driving automation, infrastructure modernization, and continuous delivery best practices.
If you are passionate about cloud-native technologies, Infrastructure as Code, automation, and operational excellence, this is an exciting opportunity to make a significant impact.
Responsibilities- Cloud Infrastructure: Design, implement, and manage scalable, secure, and highly available cloud infrastructure primarily on AWS.
- Infrastructure as Code: Build, maintain, and improve Infrastructure as Code solutions using Terraform, CloudFormation, or similar technologies.
- CI/CD Automation: Design and optimize CI/CD pipelines to enable reliable, automated software delivery across multiple environments.
- Containerization & Orchestration: Deploy, manage, and optimize containerized workloads using Docker and Kubernetes.
- Monitoring & Reliability: Implement monitoring, logging, alerting, and observability solutions to ensure platform reliability, performance, and operational excellence.
- Security & Compliance: Apply cloud security best practices, IAM policies, secrets management, vulnerability remediation, and compliance standards across infrastructure.
- Collaboration: Partner closely with software engineers, architects, and technical leadership to improve deployment processes, platform scalability, and developer experience.
- Experience: 7+ years of professional experience in DevOps, Cloud Engineering, Site Reliability Engineering, or Infrastructure Engineering.
- AWS Expertise: 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.
- Infrastructure as Code: Proven experience with Terraform, CloudFormation, or equivalent IaC tools.
- CI/CD: Solid experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar platforms.
- Containers: Strong experience with Docker and Kubernetes in production environments.
- Monitoring: Experience implementing observability solutions using CloudWatch, Datadog, Grafana, Prometheus, New Relic, or similar tools.
- Scripting: Proficiency with Bash, Python, or similar scripting languages for automation.
AWS Solutions Architect, DevOps Engineer, or Kubernetes certifications.
Experience with GitOps tools such as ArgoCD or Flux.
Experience with Helm and Kubernetes Operators.
Knowledge of networking, DNS, VPNs, and load balancing.
Experience supporting high-availability production systems.
Exposure to FinOps or cloud cost optimization initiatives.
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.
At Coderio, we value talent regardless of location. We are a fully remote company, passionate about technology, collaboration, and fair compensation. We offer an inclusive and challenging environment with real growth opportunities. If you are looking for an opportunity to build scalable cloud platforms, solve complex infrastructure challenges, and work alongside talented engineers from around the world, we'd love to hear from you.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
