About the role
Ancestry seeks an exceptional, passionate, highly motivated Software Engineer - Observability, Co-Op to join our Observability team this summer. The Observability team builds and maintains all the Observability tools and technologies that help Ancestry to monitor the site and detect and resolve customer-impacting incidents. As a Software Engineer Co-Op on the Observability team, you will contribute to building high-quality observability solutions, with a focus on sensitive information detection and protection in logs along with automated root cause analysis for production incidents.
What You Will Do:
Assist in designing and implementing tools to detect sensitive information in application logs
Develop and train machine learning models using internal sensitive logs to improve detection accuracy
Implement log masking techniques to protect sensitive data before forwarding to log backends
Contribute to the development of observability pipelines for collecting, processing, and analyzing telemetry data
Collaborate with team members to integrate sensitive data detection and masking into existing logging frameworks
Help create and maintain dashboards for monitoring the effectiveness of sensitive data detection and masking
Participate in code reviews and contribute to best practices for log management and data protection
Assist in troubleshooting and resolving issues related to log processing and sensitive data handling
Who You Are:
Master's degree in computer science, Software Engineering, or a related field
Solid knowledge of Python or Golang for building high-quality software.
Knowledge and/or Experience in software engineering, with a focus on observability and monitoring with basic understanding of observability concepts, including logs, metrics, and distributed tracing
Familiarity/Experience with AWS Cloud (EC2, ECS, EKS, S3, ALB, CloudWatch, Rekognition) and containerization technologies (Docker, Kubernetes)
Knowledge of distributed systems and microservices architectures
Strong analytical and problem-solving skills
Excellent communication and collaboration abilities
Nice to have basic exposure with Application Performance Monitoring (APM) tools such as Datadog, New Relic, or Dynatrace
Nice to have open-source contributions with Open Telemetry or similar open-source observability frameworks or tools
Nice to have Familiarity with CI/CD pipelines and DevOps practices
Nice to have knowledge of machine learning techniques for anomaly detection and root cause analysis
About the company
When you join Ancestry, you join a human-centered company where every person's story is important. Ancestry®, the global leader in family history, empowers journeys of personal discovery to enrich lives. With our unparalleled collection of more than 40 billion records, over 3 million subscribers and over 23 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we've built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving and sharing the most important information about themselves and their families.