Overview:

SOFTSWISS continues to expand the team and is looking for a Monitoring System Engineer.

If you're passionate about delivering top-notch service and consider yourself a proactive, positive thinker, we'd love to hear from you! We're eager for you to contribute to our team's success. If you're looking for a challenging and rewarding career opportunity, this could be the perfect fit.

Key responsibilities:

The two main pillars of our workflow are:

Responding to Events/Monitoring Alerts (L1/L2 tasks for certain system parts):

• Offering on-duty service coverage, encompassing day and night shifts.

• Addressing incidents by troubleshooting and resolving issues, even seeking assistance from third-party or vendor support when necessary.

• Directing issues or queries to the relevant department as needed.

• Keeping detailed records and documentation of current infrastructure challenges and Root Cause Analyses (RCAs).

• Contribute to safe and effective internal practices for AI usage in monitoring and incident response workflows.

Maintaining and Enhancing the Monitoring Systems:

• Collaborating with other teams to understand and define their monitoring needs, then implementing the right solutions.

• Setting up and adjusting the monitoring/observability systems for various teams.

• Designing and tweaking alerts and dashboards to suit specific needs.

• Refining alerts to reduce irrelevant notifications and increase their significance.

• Enhancing dashboards for better clarity, understanding, and a more comprehensive view.

• Building and sustaining connections between the monitoring systems and other platforms like Jira, Opsgenie, etc. when required.

• Establishing and updating a Knowledge Base, covering system configurations, alert processes, troubleshooting guidelines, and user manuals.

• Staying updated with the newest trends and best practices to continuously uplift our organization's monitoring capabilities.

• Identify opportunities to automate repetitive monitoring and support tasks, including with AI-assisted approaches where suitable.

Required Experience:

• Minimum of 3 years 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 (LXC/LXD, Docker, Kubernetes).

• Development experience in any scripting language (Bash, Python, Go, etc) and familiarity with REST API.

• Knowledge of basic database concepts (experience with PostgreSQL is preferable), including transactions and WAL.

• English proficiency at an Intermediate (B1) level or higher. It's crucial to understand technical terminology related to our specific tech stack and to be able to interpret technical documentation.

• 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 using it in production environments.
  - Understanding of the risks and limitations of AI usage in infrastructure and production operations.

Skills & Experience

Monitoring/observability tools (experience with at least two of the following)

• Zabbix (familiarity with concepts such as LLD, prototypes, dependencies, and preprocessing)

• Grafana (knowledge of data sources, dashboard creation, and query usage)

• Prometheus/VictoriaMetrics/etc. (understanding of metrics collection and alerting)

• ELK/Splunk/etc. (ability to use queries and filters for log analysis)

• Site24x7/Pingdom/etc. (experience with web monitoring and performance metrics)

Linux-like operating systems

• Strong understanding of key concepts, including:

• File systems

• Process management

• Built-in monitoring tools

• Networks

• Scripting

• Troubleshooting

Familiarity with

• Kafka

• RabbitMQ

• GitLab

• Nginx/Puma

• Clickhouse

• PostgreSQL

• MongoDB

• Hashicorp Vault

• Microservices and orchestration (Kubernetes)

• Any IaC / infrastructure automation:
  - Provisioning tools (Terraform);
  - Configuration management (Ansible, Salt, Puppet)

• Any AI-assisted/AIOps tools

Our Benefits:

• Full-time remote work opportunities and flexible working hours

• Private insurance

• Additional 1 Day Off per calendar year

• Sports program compensation

• Comprehensive Mental Health Programme

• Free online English lessons with a native speaker

• Generous referral program

• Training, internal workshops, and participation in international professional conferences and corporate events.