Sr. Site Reliability Engineer – AI Platform in Remote, California

Your job

Site Reliability Engineers (SREs) at Indeed work directly with our product teams, working closely with them to design, code, test, run, and evolve the systems that help people around the world get jobs. We work closely with dozens of Indeed teams to drive the adoption of modern reliability practices like Service Level Objectives (SLOs), error budget policies, actionable alerts, follow-the-sun on-call, incident retrospectives, chaos testing, and end-to-end ownership.

This role focuses on Indeed’s AI Platform, where we fine-tune LLM models, build ML models, and serve them using Indeed platform and 3rd-party services such as Amazon Web Services (AWS) SageMaker, Bedrock, and OpenAI. As an SRE working with Indeed’s AI Platform teams, you will be an integral part of ensuring the platform is built to be highly scalable, resilient, and maintainable, capable of powering a constantly growing set of matching use cases.

Who you are

• Design, develop, ship, and motivate the creation of scalable software and systems to increase product reliability and organizational efficiency.

• Guide reliability practices through the entire software development lifecycle through activities like architecture reviews, code reviews, creating platforms and frameworks, capacity planning, and chaos testing.

• Maintain service health through monitoring, follow-the-sun incident response and promoting stability best practices to platform users.

• Improve service reliability through blameless post-incident reviews and using code to prevent or respond to problem recurrence.

• Collaborate with Engineering teams to balance cloud cost optimization with delivering a high degree of system reliability.

Who we are

• Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience.

• 2+ years of software development experience.

• Experience writing code in Python, Node.js, Java, Go or a similar language.

• Ability to debug, optimize code, and automate routine tasks.

• Proficiency with cloud platforms and tools, specifically Amazon Web Services (AWS) AI services.

• Experience scaling efficiently ML model training or LLM workload preferably in AWS SageMaker.

• Experience with Infrastructure as Code (IaC) solutions like Terraform or AWS CDK.

Our mission

As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We’re looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

(*comScore Total Visits, September 2023)

Salary Range Disclaimer

The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed’s total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits.

Salary Range Transparency

Montreal Metro Area – C$119,000 – 173,000 CAD

Toronto Metro Area – C$122,000 – 178,000 CAD

Vancouver Metro Area – C$124,000 – 180,000 CAD

EEO and Accommodations

Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.

Indeed is committed to providing reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please contact Talent Attraction Accommodations at+1 855 567 7767, or by email at [email protected] . If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.

Inclusion & Belonging

Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we’re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering a diverse and inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity.

We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment.

Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.

Privacy Policy

Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site’s user and privacy policy found at https://www.indeed.com/legal , we also want to make you aware of our recruitment specific privacy policy found at https://www.indeed.com/legal/indeed-jobs .

Agency Disclaimer

Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an “Agency”), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed’s internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening.

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Reference ID: 44504

Apply now (https://careers-indeed.icims.com/jobs/44504/sr.-site-reliability-engineer—ai-platform/job?mode=apply&apply=yes&in_iframe=1&hashed=-1834446294)

ID 2024-44504

Job Locations CA-Remote