Senior Software Engineer, SRE / Observability Tooling
New
G
GliaBanking AI
Estonia - RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- AWSPythonKubernetesGoPrometheusCI/CDTerraformDatadog
Requirements
- Expert-level proficiency with AWS and Kubernetes (EKS), particularly in areas of observability, networking, and auto-scaling.
- Experience with modern observability platforms (e.g., DataDog, Prometheus) and a deep understanding of metrics, logging, and tracing.
- Deep, practical understanding of Site Reliability Engineering (SRE) principles (SLOs, error budgets, toil reduction).
- Demonstrable experience analyzing and troubleshooting large-scale distributed systems.
- Strong software development skills in a language like Python or Go, used to build operational tools, services, or automation.
- Expertise in designing and operating robust CI/CD pipelines for a microservices architecture (e.g., using ArgoCD, Github Actions, Helm).
- A systematic, data-driven approach to problem-solving and root cause analysis.
- Proficiency in using AI tools thoughtfully, maintaining ownership of the final output.
Responsibilities
- Develop standards, infrastructure and automation for dashboards, alerts, and monitors as code.
- Partner with development teams to establish production readiness and operational readiness.
- Building the tooling and templates teams use to define, measure, and report on Service Level Objectives (SLOs) and Service Level Indicators (SLIs) for their services.
- Developing tooling to automate observability and operational workflows, eliminating manual toil for engineering teams.
- Building and improving the incident response tooling and workflows that help teams resolve outages faster and learn from them.
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