Senior DevOps Engineer Log Collection
Spyrosoft
⚲ Wrocław
25 200 - 31 920 PLN (B2B)
Wymagania
- DevOps
- Elasticsearch
- Kafka
- Cloud
- Kubernetes
- Terraform
- Audit
- Security
- Data pipelines
- Analytical skills (nice to have)
Opis stanowiska
O projekcie: Tech stack: - OpenSearch / Elasticsearch - Kafka / Confluent Cloud - Kubernetes - Terraform - Vector.dev Wymagania: What We’re Looking For - 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 Codzienne zadania: - As a Senior Log & Observability Engineer, 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. - You will 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