Distributed Systems Engineer
Remote · USFull-timePosted 9mo agoStill listed 5 days ago
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Job overview
Indexify is hiring a Distributed Systems Engineer. Indexify is seeking an experienced Distributed Systems Engineer to evolve their durable application runtime for AI Data Applications and Workflows. The role involves optimizing the cluster scheduler, designing new SDK features, and collaborating with the engineering team to bring products from idea to implementation. The ideal candidate will have a mission to build the best durable application runtime for AI Data Applications.
Key focus areas include Evolve durable application runtime to support advanced data processing and machine learning workflows, Interface with product services to make building Data Applications easy and efficient, and Optimize cluster scheduler to improve resource utilization, reduce costs, and maximize performance.
Successful candidates bring 5+ Years Experience. Important skills include Fault Tolerant Systems Design, Resilient Systems Design, Performance Optimization, Cluster Schedulers, Databases, and Product Development Process. Preferred (not required): Rust, Python, FoundationDB, and TypeScript.
Skills & qualifications
Skills
Qualifications
Full job description
Our core mission at Tensorlake is to unlock your data wherever it is. We believe that people should have access to the best tools to parse, extract, and manipulate data, run data applications, so they can spend more time putting knowledge into action.
We’re looking for engineers who want to build the operating system for AI Data Applications and Workflows.
About the role We’re looking for experienced distributed systems engineers with a mission to build the best durable application runtime for AI Data Applications.
Some of the things you’ll work on in this role
- Evolve our durable application runtime to support more advanced data processing and machine learning workflows.
- Interface with our product services to make building Data Applications on TensorLake easy and efficient.
- Optimize our cluster scheduler to improve resource utilization, reduce costs, and maximize performance.
- Design and improve new features for our SDKs.
- Work closely with the rest of the engineering team to take something from an idea to a polished product, defining tasks, implementing them, and monitoring their success. About you
- You have 5 or more years of experience in platform and distributed systems engineering.
- You have an ability to autonomously lead, design, and build fault tolerant and resilient systems.
- You like to dive deep into performance challenges, and understand how cluster schedulers and databases work.
- You like to be a part of the entire product development process, from customer research to planning and implementation.
- You have some knowledge about Rust, or are curious enough to learn and use it when necessary.
- You have great written and verbal communication skills. Things you should know
- We’re a startup, and we expect people to be able to wear multiple hats at any given time.
- We’re distributed across the US and Europe, and everyone is self-sufficient to get work done even when nobody else is around.
- We do not expect people to work all the time, but we expect everyone to follow up on their commitments.
- We’re a small team with high ownership and we’re passionate about what we do.
- Our tech stack is somehow diverse. You’d be mostly working with Rust, Python and FoundationDB on your day to day. But you’ll also need to understand TypeScript, Go, and Terraform enough to touch parts of our backend infrastructure.
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