Our Customer:
A fast-growing international technology company focused on building scalable digital platforms that improve everyday experiences for millions of users worldwide. The team operates in a high-load, cloud-native environment, emphasizing reliability, performance, and continuous innovation.
Your tasks:
Design and develop platform-level solutions using Go and Python
Drive and evolve observability practices across systems (logs, metrics, tracing)
Investigate and resolve issues in distributed production environments
Build and maintain monitoring, alerting, and telemetry infrastructure
Implement proactive performance and saturation metrics using PromQL, SQL, and Lucene
Work with Infrastructure as Code tools such as Terraform, Terragrunt, and CloudFormation
Automate CI/CD and operational workflows using GitLab, Jenkins, Bash, Python, and AWS services
Lead and coordinate cross-team technical initiatives
Create scalable solutions without fully predefined requirements, taking ownership of design decisions
Required experience and skills:
7+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure roles
Strong programming background with at least two languages (Go, Python, Java, C, or JavaScript)
Solid understanding of observability concepts and modern monitoring approaches
Hands-on experience with AWS, including networking and architecture
Deep understanding of distributed systems and production troubleshooting
Experience with Kubernetes and container orchestration concepts
Familiarity with OpenTelemetry and tools like Grafana
Experience working with Prometheus, Elasticsearch, and VictoriaMetrics
Knowledge of the software development lifecycle and Test Driven Development practices
Strong analytical thinking and data-driven decision-making mindset
Ability to work independently and manage priorities effectively
Upper-intermediate or higher English (C1)
Would be a plus:
Experience with GitOps practices and tools such as Argo CD
Background in building internal platforms or developer tooling
Experience in high-scale or performance-critical environments
Strong system design and architectural skills
Proven ability to simplify complex problems and deliver practical solutions
