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Technical Support Engineer – L3 (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?

Come with us on our exciting journey as a valuable contributor to our Unicorn Pre-IPO Global Customer Technical Support Team at Redis. 

As a Technical Support Engineer, you will be responsible for helping customers by diagnosing and resolving complex technical issues in a high-contribution role with exciting technical challenges, ongoing learning, and the excitement of helping name-brand customers as part of our fun, tight-knit team.

In this role, you will use and extend your existing technical depth and increase your technical breadth by addressing complex problems for the top companies in the world. You will level up to be an expert complex problem solver on Redis Enterprise Software, being used as a high-performance database by thousands of worldwide customers. You will dive deep into different exciting forefront technologies by supporting Redis Enterprise running on the top Cloud Platforms and in the top container orchestration platforms. 

Join the best of the best and continuously learn new things. We are looking for brilliant experts that are curious, persistent, and happy digging through the full stack, from code to Sysadmin to networking to performance. If this sounds like you, please check out the technical foundation we’d like you to bring.

What you’ll do:

  • Work with customers to troubleshoot and resolve complex software issues: Reproduce issues, replicating customer environments as needed
  • Document issues and contribute to our internal team documentation
  • Collaborate with Engineering as needed to provide solutions
  • Provide Root Cause Analysis 
  • Analyze performance questions that may arise along the data path (including networks) for deployments that may be in the Cloud or On-premises
  • Provide technical expertise during testing, deployment, and upgrading of Redis software
  • Manage critical customer issues, facilitating communication between customers, CloudOps, Engineering, Product, TAMs, and Sales
  • Serve as the customer advocate for timely resolution of issues and handling escalations while helping customers realize and maximize the value of their Redis subscription
  • Participate in new product development, customer training, and other support-related activities

What will you need to have? 

  • At least five years of relevant experience in the enterprise software industry
  • Strong background in scripting or programming languages
  • Working knowledge of Cloud-based and On-premise environments
  • Expert working knowledge in Linux/Unix and networking (TCP/IP)
  • Proficiency in communication and presentation, both written and verbal (in English)
  • Strong technical background with excellent problem-solving and multi-tasking skills
  • High availability and commitment to customers 
  • Ability to work Pacific timezone business hours 

Extra great if you have:

  • Bachelor of Science in Computer Science or Information Systems
  • Experience with NoSQL databases (especially Redis)
  • Experience working with container orchestration environments, such as Kubernetes

We give back to our employees:

Our culture is what makes Redis a fun and rewarding place to work. To support you at work and beyond, we offer all our US team members fantastic benefits and perks:

  • Competitive salaries and equity grants
  • Unlimited time off to promote a healthy work-life balance
  • H/D/V coverage along with 401K, FSA, and Commuter Benefits
  • Team celebrations and recreation events
  • Learning and development opportunities
  • Ability to influence a high-performance company on its way to IPO 

 

The estimated gross base annual salary range for this role is $65,000$126,354 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.