Distributed Systems Engineer
Indexed description
We’ll Expect You To Be Able To
- Be oncall for a production system to help our customers if anything goes wrong.
- Build out never-before-seen capabilities in a storage service
- Design distributed systems interactions for atomicity and idempotency
- Deploy infrastructure and generalize infrastructure across different clouds
- Operate through changing customer requirements with lots of ambiguity
- You have 3+ years of experience building and operating distributed systems (flexible).
- Ideally, you’ve worked at a startup before, so you know how chaotic this time can be.
- You’ve successfully resolved disagreements at work before, and you understand that the highest priority is helping our customers — not being right.
- You’re comfortable debugging problems that occur as a result of failures in multiple, different systems, using tools like metrics and logs.
- You’ve been paged at 3am to solve a complex production issue before.
- You’re knowledgeable about distributed systems: you get how consensus works, you know how to scale systems, and you know what pitfalls in API design to avoid.
- You’re familiar with how to optimize the performance of a system, including a general sense of how much latency different operations take, and what kind of bottlenecks could lead to a reduction in potential throughput.
- Most of all, you know how computers work from the silicon up. Someone once asked you in an interview “what happens when you go to Google.com”, and there wasn’t enough time in the interview to talk about all of the steps.
How to join?
- Show us that you’re knowledgeable about the space that we’re working in on your application. It’s up to you how you do this, but one potential way is by answering one of the following questions:
- How do you think our system works?
- What do you think our biggest technical challenge is?
- What would make our system not work?
Over the past 15 years, S3 has become the default way to store inactive data sets in the cloud, but the next-generation of AI and analytics applications need to actively process more data than ever before. We're solving this problem by building the first Volume storage product that's as fast as EBS, infinitely scaleable like S3, and connects to existing data sets in S3 and other repositories. Our customers choose Archil because this architecture radically simplifies how they think about working with their data (every application becomes stateless, no cold-start latencies, and no need to worry about checkpointing or backup). Hacker News agrees.
Hunter, the founder, has 10 years of experience building and operating cloud storage, including helping to launch Amazon's EFS product and working on bleeding-edge storage at Netflix. He started the company after working with hundreds of customers across these roles, and identifying a need for a new kind of storage product.
We're fully in-person in San Francisco. If you're also someone interested in distributed systems, completely focused on how to make customers successful, and interested in solving really big technical challenges, we'd love for you to join us.
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