About:

We’re an ambitious, mission-driven group focused on making the world a better place by delivering affordable, environmentally sustainable AI compute for training and deploying machine learning models at scale.

Responsibilities:

• Contribute to building and scaling a 360-degree unified observability stack across infrastructure assets (network, storage, cloud, power, servers, VMs, services, security, compliance, customer-facing dashboards, Kubernetes, etc).
• Use Grafana, Loki, and ELK stacks to implement monitoring, logging, and alerting solutions.
• Help surface key insights by creating dashboards, alerts, and visualisations that improve reliability and performance.
• Support orchestration of observability data to identify trends, forecast issues, and move from reactive to proactivemonitoring.
• Contribute to defining standards for log/metadata organisation and maintaining documentation of observability practices.
• Collaborate with internal teams to ensure observability solutions align with business and technical needs.

Qualifications:

• Experience with the Grafana stack (Grafana, Loki, Mimir, Alloy).
• Familiarity with the ELK/Opensearch stack (Elasticsearch, Logstash, Kibana, Fluentd, Filebeat, Metricbeat).
• Understanding of Prometheus and related tools.
• Comfortable working in Linux environments.
• Exposure to automation/configuration tools such as Ansible (or similar).
• Good written and spoken English communication skills, with an eagerness to grow into a more senior role.

Nice-to-haves:

• Experience monitoring Kubernetes environments.
• Familiarity with the Influx stack (Telegraf, InfluxDB).
• Awareness of OpenStack environments.
• Interest in SecDevOps/SecOps practices.
• Experience with incident management tools (e.g., PagerDuty).

What we offer:

• Company equity - a true stake in our journey.
• Competitive salary and benefits, including health insurance, lunch benefit, and an annual personal budget (for sport, transport, wellness, or culture).
• Flexible working environment.
• Opportunity to work with cutting-edge AI technologies.
• Career growth within a mission-driven company.

Assessment Process:

1. Introductory chat (45 mins) - Meet with our Talent Partner to learn more about DataCrunch and share your career goals.
2. Technical interview (60 mins) - A deeper discussion of your expertise and technical experience with future colleagues.
3. Final interview (60 mins) - Meet with our CEO, CTO, and wider team.