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 seeking a hands-on DevOps / Platform Engineer to manage, scale, and automate the AWS-hosted infrastructure powering our platform. In this role, you will work closely with engineering teams to improve deployment reliability, strengthen observability, maintain Infrastructure as Code, and support high-availability production environments
Infrastructure & Cloud Operations: Provision, maintain, and scale reliable AWS infrastructure using services such as ECS, EKS, EC2, RDS, S3, and IAM.
Infrastructure as Code (IaC): Automate infrastructure delivery using CloudFormation and Terraform, ensuring proper state management, security policies, and drift control.
CI/CD & Automation: Maintain and optimize CI/CD pipelines (Buildkite, GitHub Actions) to enable safe, frequent, and repeatable production deployments.
Observability & Monitoring: Maintain production monitoring, dashboards, and alerting systems using Datadog to ensure operational visibility and fast incident detection.
Application & Platform Support: Partner with software engineers to support containerized workflows (Docker) and runtime services built on Ruby on Rails, React, and adjacent microservices.
Reliability & Security: Apply least-privilege principles, participate in on-call rotations, drive incident response, and perform post-incident Root Cause Analysis (RCA).
Experience: 3+ years in DevOps, Platform Engineering, Cloud Engineering, or SRE roles.
Cloud Infrastructure: Strong hands-on experience operating production infrastructure on AWS.
Infrastructure as Code: Proficiency with IaC tooling; experience with CloudFormation is preferred, and strong Terraform experience is highly valued.
Containerization: Hands-on experience with Docker and container orchestration platforms (AWS ECS, EKS, or Kubernetes).
CI/CD Expertise: Demonstrated experience building and troubleshooting release pipelines using GitHub Actions, Buildkite, Jenkins, or GitLab CI.
Observability: Working knowledge of production monitoring, logging, and tracing practices (Datadog, Grafana, CloudWatch, or Splunk).
Systems & Scripting: Strong understanding of Linux systems and operational automation using Bash or Python.
Communication: Advanced/Fluent English skills with the ability to communicate technical trade-offs clearly across distributed teams.
Prior experience supporting Ruby on Rails and ReactJS applications in production.
Exposure to fintech, regulated financial environments, or strict security compliance practices.
Practical experience with OIDC cloud authentication, HashiCorp Vault, or automated pipeline security scanning (Trivy, Snyk).
Experience with PagerDuty and structured SLA/SLO practices.
Remote
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 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.
