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, connects everyone with their past so they can discover, preserve, and share their unique family stories. With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 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, and highly motivated Software Engineer - Observability Engineer. to join our Observability team. The Observability team builds and maintains all the observability tools and technologies that help Ancestry monitor the site and detect and resolve customer-impacting incidents.

As a Software Engineer on the Observability team, you will lead the development of automated migration tools for Open Telemetry-based observability platforms while contributing to sensitive data protection and infrastructure operations.

• Contribute to the development of AI-powered code transformation tools leveraging foundation models (LLMs) and agentic frameworks to migrate application instrumentation to Open Telemetry standards across multiple languages (Java, Python, Node.js, .NET) and browser-based Real User Monitoring (RUM)
• Build intelligent parsing and analysis engines using AI agents and Model Context Protocol (MCP) tools to transform existing APM instrumentation code with proper error handling, validation, and comprehensive migration reports
• Design and implement LLM-driven dashboard migration tools that extract, transform, and recreate observability dashboards across platforms with functional equivalence validation
• Develop agentic alert migration automation using AI frameworks to export, transform, and migrate alerting policies, conditions, notification channels, and escalation workflows between observability platforms
• Create comprehensive validation and testing frameworks to compare metrics and traces, build migration progress dashboards, and develop rollback procedures
• Build CLI tools, scripts, and self-service migration utilities with detailed guides and best practices documentation to enable application teams
• Contribute to observability operations including log PII detection with near real-time streaming, multi-source log pipeline integration (Cloud Watch, Lambda), cost optimization, and infrastructure monitoring (EKS, EC2, Lambda)
• Support Harness deployment pipeline integration with observability alerts and contribute to operational excellence through code reviews and documentation
• Partner with application teams, security and compliance teams, and platform engineering teams to understand requirements, pain points, and deliver impactful solutions
• Present work at team demos and showcase events while contributing to team documentation, runbooks, and best practices

• Master's degree in Computer Science, Software Engineering, or a related field
• Strong…