Support Engineer Intern

We’re Hiring: Platform Support Engineering Intern

Cloud | DevOps | Kubernetes | Data Platforms | AI Automation

Join Cogrion and help operate an AI-native data platform supporting enterprise-grade data and AI workloads.

What You’ll Do

• Monitor and support Cogrion’s cloud-native platform in a 24×7 production environment.
• Troubleshoot issues across Kubernetes, cloud infrastructure, data platforms, workflows, and pipelines.
• Support Spark, Trino, Airflow, SQL, and other data-processing workloads.
• Participate in incident triage, resolution, root-cause analysis, and post-incident reviews.
• Maintain operational runbooks, incident documentation, and troubleshooting guides.
• Monitor platform health using tools such as Prometheus, Grafana, Loki, and CloudWatch.
• Automate repetitive operational activities using Python, Bash, workflows, AI assistants, and autonomous agents.
• Build AI-powered workflows for incident triage, log analysis, root-cause identification, and operational support.
• Continuously identify opportunities to improve platform reliability, response times, and operational efficiency.

What We’re Looking For

• 0–1 year of experience or relevant project exposure in cloud, DevOps, platform support, SRE, or data engineering.
• Hands-on familiarity with AWS preferred; exposure to Azure or GCP is also valuable.
• Working knowledge of Kubernetes, Docker, Linux, CI/CD, Python, or Bash.
• Exposure to Helm and Terraform is preferred.
• Familiarity with Spark, Trino, Airflow, SQL, or modern data platforms.
• Basic understanding of data engineering and distributed systems concepts.
• Exposure to Prometheus, Grafana, Loki, CloudWatch, or similar observability tools.
• Interest in AI/ML platforms, LLMs, AI assistants, and autonomous agents.
• Strong analytical and problem-solving abilities with an ownership-driven mindset.

The Mindset We Value

• Proactive and willing to take ownership.
• Detail-oriented and thorough during investigations.
• Calm and methodical during production incidents.
• Curious, adaptable, and eager to learn new technologies.
• Strong in written communication and technical documentation.
• Customer-focused, collaborative, and responsive.
• Comfortable managing multiple priorities in a fast-moving environment.

This role is ideal for someone who enjoys solving production challenges, learning how modern data platforms operate, and using AI and automation to make support operations faster and more reliable.