Internship - Site Reliability Engineering

Infineon Technologies

Infineon Technologies

Singapore
Posted on Mar 7, 2026
We are looking for a motivated intern to bridge the gap between our raw system data and proactive insights. Your primary mission will be to implement Machine Learning-driven anomaly detection within our ELK (Elasticsearch, Logstash, Kibana) stack. You will focus specifically on our Integration Layer (APIs, Middleware, and Data Buses) to identify "unknown unknowns" that traditional static alerts miss.

Your Role

Key responsibilities in your new role

  • Data Prep & Ingestion: Review and optimize Logstash pipelines or Elastic Agents to ensure high-quality, timestamped data is flowing from the integration layer into Elasticsearch.
  • Anomaly Detection Setup: Configure and deploy Single-metric and Multi-metric ML jobs to establish baselines for transaction volumes, latencies, and error rates.
  • Model Tuning: Analyze Anomaly Scores and "Influencer" fields to tune jobs, reducing false positives caused by scheduled maintenance or expected spikes.
  • Proactive Alerting: Integrate ML job results with Kibana alerting to notify the team when the system deviates from its predicted baseline.
  • Dashboards & Visualization: Use the Anomaly Explorer and Kibana Lens to create intuitive dashboards that visualize system health trends for the integration team.

Internship Learning Outcomes:

  • Ability to configure the Elastic Stack (ELK) to ingest massive streams of middleware logs and API telemetry.
  • Learning to select and tune Anomaly Detection jobs in ELK via the Machine learning component.
  • Designing dashboards in Kibana that don't just show charts, but tell a story about system health.

Your Profile

Qualifications And Skills To Help You Succeed

  • Technical Background: Currently pursuing a degree in Computer Science, Data Science, or a related field.
  • Foundational Knowledge: Familiarity with general observability concepts (Logs, Metrics, Traces).
  • Analytical Mindset: Basic understanding of statistics and unsupervised machine learning.
  • Scripting Skills: Basic proficiency in Python.
  • Preferred Internship Period: Jun 26 - Dec 26

Contact:

Hillary Woo

#WeAreIn for driving decarbonization and digitalization.

As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in?

We are on a journey to create the best Infineon for everyone.

This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.

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