Software Engineer – Observability, Co-op

Ancestry•Draper, UT

3d•Hybrid

About The Position

Ancestry, the global leader in family history, connects everyone with their past so they can discover, preserve, and share their unique family stories. 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. 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 OpenTelemetry-based observability platforms while contributing to sensitive data protection and infrastructure operations.

Requirements

Master's degree in Computer Science, Software Engineering, or a related field
Strong development experience in Python with demonstrated ability to write high-quality code
AI-assisted development experience: Hands-on experience using AI coding assistants such as Cline, Roo Code, Kiro, Claude Code, GitHub Copilot, Cursor, or similar tools for software development
Full-stack development exposure with JavaScript/TypeScript and modern front-end frameworks (React preferred, Vue, or Angular)
Multi-language exposure: Familiarity with at least 2-3 programming languages from Java, Python, Node.js, or .NET
Solid understanding of software engineering fundamentals: data structures, algorithms, testing, and design patterns
Experience with or strong interest in observability concepts: logs, metrics, traces, and distributed systems
Experience with database design and SQL (MySQL, PostgreSQL)
Exposure with Application Performance Monitoring (APM) tools such as New Relic, Datadog, Dynatrace, or similar platforms is preferred
Experience with AWS Cloud services (CloudWatch, Lambda, EKS, EC2, Fargate, SQS, SNS) and containerization technologies (Docker, Kubernetes)
Strong analytical and problem-solving skills with ability to explore solutions independently before escalating
Excellent communication and collaboration abilities with mindset to seek feedback early and often

Responsibilities

Contribute to the development of AI-powered code transformation tools leveraging foundation models (LLMs) and agentic frameworks to migrate application instrumentation to OpenTelemetry 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 (CloudWatch, 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