Software Engineer – Observability, Co-op

About Ancestry:
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.

We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity.

Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve.

Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people’s lives? Join the curious.

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

Additional Information:

Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.

All job offers are contingent on a background check screen that complies with applicable law.  For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.  

Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.