Software Engineer, Distributed Systems

Posted 3 Hours Ago
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Hiring Remotely in USA
Remote
180K-400K Annually
Senior level
Artificial Intelligence • Marketing Tech • Software • Analytics
The Role
Design, build, and optimize distributed systems powering large-scale data synchronization. Responsibilities include improving sync speed, developing real-time streaming capabilities, scaling high-volume and low-latency systems, troubleshooting customer scaling challenges, and supporting multi-region, multi-cloud infrastructure and data residency requirements. The role involves end-to-end project ownership, customer collaboration, system architecture, and reliability improvements.
Summary Generated by Built In
About the Role

We are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting challenge where you can apply your expertise in distributed systems, performance optimization, and troubleshooting to push the boundaries of what is possible and meaningfully improve our ability to move massive amounts of customer data. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base.

We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.

Some of the problems we’ll be working on include:

  • Sync Speed: Customers want to sync a lot of data to important destinations like Facebook and Snapchat, which requires us to analyze every part of our syncing process and find where we can optimize to sync data more quickly

  • Streaming Syncing: We currently sync data from sources in batch only, but envision a world where we also do syncs in real-time and support streaming sources like webhooks and queues

  • Scalability and Reliability: As part of our rapid growth, we’re always evaluating current future bottlenecks in scaling and reliability, and architecting for the next order of magnitude of growth

  • Personalization API: Our Personalization API product provides a low latency caching layer on top of data warehouses that enable customers to use their data warehouse for real-time personalization use cases with <30ms p90 response times with QPS in the millions

  • Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch Hightouch on in new regions to support data residency requirements of our global customer base

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $400,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation.

About You

You are an engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment.

You have experience and comfort with distributed systems and high-scale systems or the ability and desire to build this experience quickly. This experience can take different forms:

  • You’ve built syncing engines that process and move terabytes of data per day in a scalable way

  • You’ve created event collection or data streaming services that power company critical systems

  • You’ve owned systems that have undergone orders of magnitude of growth and helped them scale accordingly

  • You have relevant skills and are a fast learner who is excited to take on the challenges we face

Interview Process

Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.

  • Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.

  • System Design Screen [45m]: Designing a data processing feature end-to-end.

  • Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.

  • System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.

We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.

#LI-DNP

Skills Required

  • Experience with distributed systems
  • Experience with high-scale systems
  • Experience building scalable data synchronization engines processing large data volumes
  • Experience creating event collection or data streaming services
  • Experience scaling systems through orders of magnitude of growth
  • Ability to solve complex technical problems and learn quickly
  • Comfort working in a fast-paced startup environment
  • Strong ownership and ability to deliver projects end to end
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The Company
400 Employees
Year Founded: 2018

What We Do

Hightouch provides a warehouse-native customer data and AI marketing platform for enterprise teams. It lets data teams retain control of their data, access, and infrastructure, while marketers and business users build audiences, launch campaigns, and personalize customer experiences. Its composable customer data platform brings together behavioral events, customer profiles, and integrations with marketing destinations to activate data and support data-driven campaigns.

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