Senior Staff Software Engineer, Observability Platform (AIOps, ML, Tracing/RUM)

Interested in creating and leading high-scale, mission-critical platforms? Want to solve large-scale, high-availability platform challenges for on-premise and public cloud deployments with an AI-first mindset? Intuit is seeking a Senior Staff Software Engineer, characterized by progressive technical experience and demonstrated technical prowess, to join the PDX Observability Engineering team.

We are looking for a creative, brilliant, passionate, enthusiastic, and experienced Senior Staff Software Engineer to join the Core Systems team who can design and deliver a next-generation platform with a sharp customer focus. This role will be a key developer in a cloud platform used by thousands of developers at Intuit. The successful candidate will be responsible for platform capabilities focused on AIOps, Machine Learning, Distributed Tracing, and Real User Monitoring (RUM) that maximize the velocity with which Intuit build awesome products and drives innovation.

We are looking for a creative, brilliant, passionate, enthusiastic, and experienced Senior Staff Software Engineer to join the Core Systems team who can design and deliver a next-generation platform with a sharp customer focus. This role will be a key developer in a cloud platform used by thousands of developers at Intuit. The successful candidate will be responsible for platform capabilities focused on AIOps, Machine Learning, Distributed Tracing, and Real User Monitoring (RUM) that maximize the velocity with which Intuit build awesome products and drives innovation.

 

The candidate will have a proven history in software development on large-scale, highly available platforms. This person will be a technical leader with 'hands-on' experience in an agile software development environment, deeply customer-focused, constantly seeking to understand and evolve products per the customer's needs in the Observability space.

 

Responsibilities

• Designs, develops, tests, deploys, maintains, and improves software solutions for the Observability Platform, specifically focusing on large-scale data processing for Tracing, RUM, and ML/AIOps applications.

• Leads the development and integration of Machine Learning models and AIOps techniques to enhance platform capabilities such as anomaly detection, predictive alerting, and automated root cause analysis.

• Solves complex, high-scale problems by leveraging a variety of technologies and focusing on highly available and resilient systems.

• Functions as a technical leader and domain expert in Observability (Traces/Logs/Metrics), beginning to shape technology and product strategy related to next-generation AI-powered tools.

• Leads the process of gathering functional requirements, developing technical specifications, and managing project and test plans for new platform features.

• Utilizes data to inform product and technical decisions within their area of responsibility, demonstrating a strong data-driven approach to platform evolution.

• Enhances team knowledge, skills, and engagement through collaborative technical workshops, mentoring junior engineers, and actively participating in code reviews and architectural discussions.

• Possesses expertise in cloud technologies and in architecting and delivering highly scalable and resilient systems in the Observability domain.

Qualifications

• 10+ years of experience in designing and developing high-scale distributed systems and/or AI applications.

• Strong experience with Observability Domain (Traces/Logs/Metrics) and building related high-scale systems.

• Direct experience on AI, Machine Learning Models, LLM, and/or Gen AI and their application in operational intelligence (AIOps).

• Experience working with three or more of the following: Unix/Linux environments, distributed and parallel systems, workflow automation, CI/CD platform development, cloud platforms development (e.g., AWS/GCP), and Kubernetes/container platforms-based development.

• Proficiency in one or more general-purpose programming languages such as Java and Python.

• Experience in Kubernetes and Docker container-based development, packaging, and deployments.

• Experience with data-intensive applications and proficiency in using Kafka, Kinesis, Amazon S3, and SQS for scalability, especially for time-series and tracing data.

• Experienced in developing highly scalable and available web applications and services.

• Exhibit strong communication skills and the ability to explain complex technical issues to both technical and non-technical audiences.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: