Monitoring Systems Engineer – Middle

SOFTSWISS is hiring a Monitoring Systems Engineer to design, maintain, and enhance the monitoring and observability ecosystem, ensuring reliability, performance, and visibility of critical services across their technology landscape.

• Minimum 3 years of experience as a Systems Engineer, SRE, DevOps, or Monitoring Support Engineer (L2+).
• Good understanding of Linux-like operating systems (Debian-based).
• Experience with containerization, virtualization, and orchestration technologies such as LXC/LXD, Docker, and Kubernetes.
• Development experience in scripting languages like Bash, Python, or Go and familiarity with REST API.
• Knowledge of basic database concepts; experience with PostgreSQL is preferable, including transactions and WAL.
• English proficiency at Intermediate (B1) level or higher, with ability to understand technical terminology and documentation.
• Russian proficiency at Upper-Intermediate (B2) level or higher.
• Practical interest in using AI-assisted tools for troubleshooting, automation, documentation, and operational efficiency.
• Ability to critically evaluate AI-generated output and validate it before production use.
• Understanding risks and limitations of AI usage in infrastructure and production operations.

• Offering on-duty service coverage, encompassing day and night shifts.
• Addressing incidents by troubleshooting and resolving issues, including seeking assistance from third-party or vendor support.
• Directing issues or queries to relevant departments.
• Keeping detailed records and documentation of infrastructure challenges and Root Cause Analyses (RCAs).
• Contributing to safe and effective internal practices for AI usage in monitoring and incident response workflows.
• Collaborating with other teams to understand and define monitoring needs and implementing suitable solutions.
• Setting up and adjusting monitoring/observability systems for various teams.
• Designing and tweaking alerts and dashboards.
• Refining alerts to reduce irrelevant notifications and increase their significance.
• Enhancing dashboards for better clarity and comprehensive views.
• Building and sustaining connections between monitoring systems and platforms like Jira, Opsgenie.
• Establishing and updating a Knowledge Base covering system configurations, alert processes, troubleshooting guidelines, and user manuals.
• Staying updated with trends and best practices to continuously improve monitoring capabilities.
• Identifying opportunities to automate repetitive monitoring and support tasks, including AI-assisted approaches.