A Little About Us
Our Tooling and Reliability Platforms team operates as a foundational pillar of the Central Technology Organization. We provide the "paved road" for Yahoo's diverse verticals, enabling them to ship world-class products at a global scale. Our mission is to build the modern, secure, and highly efficient platforms that power all of Yahoo's brands, with a relentless focus on Engineered Resilience.
A Lot About You
The Tooling and Reliability team is looking for a Software Dev Engineer I (IC2) focused on building and maintaining the vital services that support our primary incident management platform. You will be at the forefront of our AIOps initiative, building new AI services designed to provide service teams with instant context and automated triaging capabilities during high-pressure incidents. In this role, you will be expected to utilize AI-augmented workflows to increase engineering velocity and ensure the resilience of our global platforms.
Key Responsibilities
Build, deploy, and maintain high-availability services that integrate our core Incident Management tools with Yahoo’s internal ecosystem.
Develop new AI services and agents that ingest massive amounts of telemetry to provide on-call engineers with real-time summaries, historical context, and automated root-cause hypotheses.
Use Infrastructure as Code (Terraform/CloudFormation) to manage serverless infrastructure, ensuring reliability tools are as resilient as the services they monitor.
Identify and implement AI-driven efficiencies in your day-to-day development, replacing manual, repetitive tasks with automated or AI-assisted workflows.
Leverage AI pair-programming tools to accelerate code reviews and ensure high unit-test coverage for all new reliability services.
Verify and validate AI-generated code and infrastructure outputs to ensure they meet Yahoo’s security and resilience standards.
Who You Are
Problem Solver: You enjoy digging into how complex systems work and finding ways to make them better through automation.
Software-First: You have a solid foundation in computer science and are comfortable writing code in Python, Go, or Java.
AI-Forward Mindset: You are committed to applying Large Language Models (LLMs) and Machine Learning to real-world operational problems, turning noise into actionable insights.
Collaborative: You enjoy working in a team environment and are excited to learn from senior engineers and architects while proactively suggesting process improvements.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
Proficiency in at least one programming language (Python or Go preferred).
Working knowledge of AI-assisted development tools (e.g., GitHub Copilot, Amazon CodeWhisperer, or Cursor).
Understanding of Linux/Unix environments and basic networking concepts.
Familiarity with Git and version control.
Preferred Qualifications
Experience with Cloud providers (AWS, GCP).
Familiarity with Docker, Kubernetes, or serverless architectures.
Demonstrated experience using Prompt Engineering to assist in debugging complex system failures or generating technical documentation.
Interest in Machine Learning applications for DevOps and site reliability.
The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.
At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don’t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You’ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!
Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.
We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome.
The compensation for this position ranges from $88,500.00 - $184,375.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more.Currently work for Yahoo? Please apply on our internal career site.
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