Company

Technology

DevOps/ObservabilityEngineer

€85–130k ~AI est. Bulgaria FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“DevOps/Observability Engineer. Skills: Observability, DevOps, AWS, Kubernetes. Design and implement end-to-end observability architectures. Build and maintain centralized observability pipelines”

Industry & Context.

Technology
Problems you'll solve

Problem-solving; Debugging

What They're Looking For.

Must Have

8+ years of experience in DevOps, Site Reliability Engineering, or Observability Engineering roles, Hands-on experience designing unified observability pipelines using OpenTelemetry, Prometheus, and Grafana, Deep expertise in AWS observability services including CloudWatch, CloudTrail, and cross-account telemetry strategies, Proven ability to build and manage large-scale log aggregation systems and optimize high-volume data pipelines, Experience with Kubernetes (EKS) or containerized environments (ECS) in production settings, Advanced proficiency with Terraform or other Infrastructure as Code tools for infrastructure and observability deployments, Experience building alerting systems, dashboards, and monitoring frameworks for distributed systems, Understanding of cost optimization strategies for observability platforms (log filtering, metric reduction, storage tiering), Excellent problem-solving, debugging, and collaboration skills in complex cloud-native environments

What You'll Do.

Design and implement end-to-end observability architectures

Build and maintain centralized observability pipelines

Develop scalable log aggregation and routing strategies

Create advanced alerting frameworks

Create high-quality dashboards

Deploy and manage observability infrastructure

Support Kubernetes and container-based observability

Optimize observability systems for performance

Optimize observability systems for cost efficiency

Optimize observability systems for scalability

Collaborate with engineering teams to improve system reliability

Collaborate with engineering teams to improve monitoring standards

Collaborate with engineering teams to improve incident response

How You'll Work.

Team & Collaboration

Engineering teams

Full Job Description

## Accountabilities Design and implement end-to-end observability architectures using OpenTelemetry, Prometheus, Grafana, and related tools across cloud environments. Build and maintain centralized observability pipelines across multi-account AWS environments, including CloudWatch, CloudTrail, and VPC Flow Logs. Develop scalable log aggregation and routing strategies, including filtering, noise reduction, and integration with systems such as Splunk HEC. Create advanced alerting frameworks and high-quality dashboards using Alertmanager, CloudWatch Alarms, and Grafana with PromQL. Deploy and manage observability infrastructure using Infrastructure as Code tools such as Terraform. Support Kubernetes and container-based observability across EKS and ECS environments. Optimize observability systems for performance, cost efficiency, and scalability in large-scale production environments. Collaborate with engineering teams to improve system reliability, monitoring standards, and incident response capabilities. Requirements: 8+ years of experience in DevOps, Site Reliability Engineering, or Observability Engineering roles. Strong hands-on experience designing unified observability pipelines using OpenTelemetry, Prometheus, and Grafana. Deep expertise in AWS observability services including CloudWatch, CloudTrail, and cross-account telemetry strategies. Proven ability to build and manage large-scale log aggregation systems and optimize high-volume data pipelines. Strong experience with Kubernetes (EKS) or containerized environments (ECS) in production settings. Advanced proficiency with Terraform or other Infrastructure as Code tools for infrastructure and observability deployments. Experience building alerting systems, dashboards, and monitoring frameworks for distributed systems. Strong understanding of cost optimization strategies for observability platforms (log filtering, metric reduction, storage tiering). Excellent problem-solving, debugging, and collaboration skills i

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