Senior DevOps Engineer Log Collection

As a Senior Log & Observability Engineer at Spyrosoft, you will take ownership of a company-wide log and trace collection platform. Your work will enable teams to effectively monitor systems, troubleshoot issues, meet compliance requirements, and build secure, reliable software at scale.

• Solid professional experience in log collection and observability, including:
  • OpenSearch / Elasticsearch: 3+ years
  • Kafka / Confluent Cloud: 3+ years
  • Kubernetes: 2+ years
  • Terraform: 2+ years
  • Vector.dev: 1+ year
• Strong understanding of log collection architectures and observability concepts.
• Hands-on experience with log parsing, data pipelines, and data cleansing.
• Experience with monitoring, analysis, and visualization of log data.
• Knowledge of scaling and optimizing high-volume log infrastructures.
• Strong troubleshooting and analytical skills.
• Team-oriented mindset and ability to work with multiple stakeholders.
• Awareness of security aspects of logging and handling sensitive data.

Nice to have:

• Experience with OpenTelemetry-based tracing.
• Familiarity with SIEM platforms.
• Experience working in regulated or compliance-driven environments.

• Design, implement, and continuously improve log and trace pipelines covering infrastructure, applications, and audit data—ensuring performance, scalability, and audit readiness.
• Design, implement, and operate log and trace collection infrastructure using OpenSearch/Elasticsearch, Kafka/Confluent Cloud, Kubernetes, Terraform, Vector.dev, and OpenTelemetry.
• Configure and fine-tune log data collection to ensure high-quality, relevant data.
• Monitor, optimize, and scale log pipelines to support growing systems and data volumes.
• Implement data parsing, preparation, and cleansing strategies to deliver actionable insights.
• Collaborate with engineering, DevOps, and security teams to support monitoring, troubleshooting, SIEM, and compliance needs.
• Improve tooling, processes, and technologies related to log collection and observability.
• Troubleshoot and analyze issues in log ingestion and processing.
• Support traceability for debugging, audit-proof archiving, and long-term retention.
• Enable self-service log visualization for different user groups.
• Contribute to compliance initiatives, including KRITIS and NIS2.
• Share knowledge through documentation, training materials, and best practices.