Senior DevOps Engineer

Description

What you get to do in this role:

The AI Services Platform Group at the company is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.

You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.

Build the best cloud-based AI/ML solutions to power intelligent enterprise services

Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software

Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users

Requirements

• To be successful in this role you have:
• Expertise in Go or Python, Design Patterns, time and space-efficient algorithms
• Experience building new products that use challenging algorithms
• Expertise in coding efficient, object-oriented, modularized and quality software
• Knowledge of core AI/ML techniques and algorithms
• Knowledge of unit testing, profiling, and code tuning
• DevOps requirements
• Deploy, scale, and operate services in production Kubernetes environments, including Helm-based deployments and CI/CD pipelines that make releases repeatable and safe to roll back.
• Own observability for what you build — meaningful metrics, useful logs, real tracing, and alerts that fire on customer impact rather than on noise.
• Debug and resolve production incidents independently, participate in on-call, run root-cause analysis, and operate against defined service level objectives
• Desired skills but not required:
• Confident use of AI coding assistants such as GitHub Copilot or Cursor, paired with the critical eye to review AI-generated code as rigorously as any other — catching logic errors, security anti-patterns, and missed edge cases rather than treating model output as production-ready.
• AI-assisted debugging and trace analysis, and a clear understanding of the data privacy rules governing what goes into a prompt.
• For positions in this location, we offer a base pay of $161,300 - $274,200 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
• Additional Information
• Work Personas
• We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to the company employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, the company may confirm the distance between your primary residence and the closest the company office using a third-party service.