Cloud Operations Engineer (Pacific Time)

Who we are
We’re Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in?

Why would you love this job?

The Redis Cloud Operations team is hiring for a Cloud Operations Engineer role. We’re looking for a technically strong individual who has a passion for working on large-scale systems, supporting our valued customers, and operating state-of-the-art products. In this global role, you will participate in the monitoring, operating, and management of the Redis Cloud Environment, hosted on all major cloud providers. We’re looking for team players who are highly motivated, with good attention to detail, and who have a fair amount of experience working in an intense production environment.

What you’ll do:

Maintain, manage, and support the production systems, processes, and engineering infrastructure.
Work closely with the engineering team to deliver ongoing releases and updates.
Automate and integrate complex processes.
Maintain application and complicated infrastructure components.
Help bridge the gap between R&D and Ops.
Work the occasional weekend on-call shift.

What will you need to have?

At least three years of experience in SRE / DevOps / Cloud Engineering / Sys or Network Admins
Experience with monitoring, troubleshooting, and working in production environments
Experience working with Linux flavors
A background in Shell/Python scripting
Experience with monitoring tools (e.g., Grafana, Prometheus)
Hands-on experience working with any of the major cloud providers
Willingness to work in a fast-paced environment, including 24/7 availability
Availability to work Pacific Time work hours

The estimated gross base annual salary range for this role is $95,200– $181,500 per year in New York, California, Washington, Colorado, and Rhode Island. Actual compensation may vary and is dependent on various factors, including a candidate’s work location, qualifications, experience, and competencies. Base annual salary is one component of Redis’ total compensation and competitive benefits package, which may include 401(k), unlimited time off, learning and development opportunities, and comprehensive health and wellness benefits. This role may include discretionary bonuses, stock options, commuter benefits based on location, or a commission plan. Salary history is not used in compensation package decisions. Redis utilizes market pay data to determine compensation, so posted compensation ranges are subject to change as new market data becomes available.

#LI-Remote #LI-CA2 #LI-DNI

As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected.

Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.