Software Engineer, Streaming Systems

Hightouch

Polska

Hybrid

PLN 700,000 - 1,555,000

Full time

14 days+

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Benefits offered by this job

Equity compensation
Remote-first policy

Job summary

Hightouch, a San Francisco-based marketing platform, is seeking a software engineer for the Streaming Systems team to build the infrastructure that ingests clickstream, product interactions, and transactional data into our platform.

You will own projects end-to-end, work directly with customers to solve scaling problems, and influence our technical roadmap in a fast-paced, remote-first environment. The role offers a base salary range of $180k-$400k USD per year with meaningful equity.

Qualifications

  • Experience with distributed and high-scale systems.
  • Experience with streaming systems is beneficial.

Responsibilities

  • Own and deliver projects end-to-end.
  • Work directly with customers to solve scaling problems.
  • Influence the technical roadmap.
  • Ingest and process streaming data at scale.

Skills

distributed systems
high-scale systems
Kafka
Kinesis
Pulsar
Warpstream

Tools

Kafka
Kinesis
Pulsar
Warpstream
Distributed systems
High-scale systems

Job description

About Hightouch

Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works.

Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible.

Named a Leader in the 2026 Gartner® Magic Quadrant™ for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Cars.com, Ramp, and PetSmart.

At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. The team is ambitious, impact-driven, efficient — and we believe humility, kindness, and compassion are essential to our success. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you.

About the Role

We are looking for a software engineer to join our Streaming Systems team, working on the high-throughput systems that collect, forward, and perform real time computation on billions of behavioral events from our customers’ users. You'll be building the infrastructure that ingests clickstream, product interaction, and transactional data into our platform. This data is the platform for our “Cursor for Marketers” AI agent product.

Our streaming products’ revenue has 10x’d over the past year, and we need to ensure that we continue to scale. Our infrastructure needs to handle millions of messages per second at single second latency end to end. Recently, we added a computation engine that allows personalizing user experiences in real-time based on live behavior; we’re seeing 7-figure market response in the first few months and need to scale up to meet demand.

We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. You will own and deliver projects from start to finish, work directly with customers to solve their hardest scaling problems, and have significant influence over our technical roadmap.

The base 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.

Some useful, but not necessary, experience:

  • Experience with streaming systems like Kafka, Kinesis, Pulsar, Warpstream
  • Experience with high RPS, low p99 latency systems
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.

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