SRE / DevOps Engineer 8521

Join Akvelon — build products used by millions!

Akvelon is an IT company with 20+ years of experience and 1,200+ engineers across 15+ locations worldwide.
We work with both well-known global tech companies, including Microsoft, Facebook, Airbnb, Dropbox, and Pinterest, and with growing startups.
Our teams are involved in different types of engineering projects, from cloud solutions and AI/ML systems to big data, web, and mobile applications.
Since we are remote-first, our engineers work in distributed teams with flexible hours. We value ownership, clear communication, and the ability to take responsibility for your part of the work.

About the role

We are looking for a SRE / DevOps Engineer to support, automate, and scale cloud infrastructure for a large-scale IoT platform.

The role focuses on AWS infrastructure, Infrastructure as Code, CI/CD, containerized environments, and observability. You will help improve platform reliability, automate infrastructure and deployment processes, and ensure stable operation of production environments

Requirements

• Strong hands-on experience with AWS and cloud infrastructure
• Experience with Terraform and Infrastructure as Code
• Strong knowledge of CI/CD, preferably Jenkins and/or GitLab CI
• Experience with Docker and Kubernetes/EKS
• Hands-on experience with observability tools such as Grafana, Prometheus, Loki, or Graylog
• Scripting experience with Bash and/or Python
• Strong troubleshooting skills and experience supporting production environments

Nice to have

• Experience with Azure
• Knowledge of AWS services such as EC2, VPC, Aurora, ElastiCache, Route 53, WAF, and S3
• Familiarity with Vector or similar telemetry tools
• Familiarity with Java or TypeScript ecosystems
• Previous experience supporting IoT or other distributed platforms

Responsibilities

• Manage, maintain, and optimize AWS cloud infrastructure
• Develop and maintain modular Terraform configurations
• Build and improve CI/CD pipelines using Jenkins and GitLab CI
• Support containerized workloads using Docker and Kubernetes/EKS
• Implement and maintain monitoring, logging, and alerting solutions
• Troubleshoot infrastructure, deployment, and production issues
• Automate operational tasks using Bash and Python
• Improve platform reliability, scalability, and operational efficiency

Availability expectations

• Ability to maintain 3–4 hours of regular overlap with US Pacific Time for collaboration and meetings
• Kyiv: Office-based, Monday to Friday.
  Moldova: Fully remote initially, with a potential transition to an onsite format and office attendance in the future.