Senior Software Engineer - Data Infrastructure

United States Digital Space LLC; Paris (TX); Hybrid; USD 138,000 - 207,000; Full time

Benefits offered by this job

Equity—Employee Stock Ownership Plan

Variable pay

Hybrid flexibility

Health insurance

Meal vouchers

Annual offsite

Tech Syncs

Job summary

the company is seeking a Platform & Data Owner to take end-to-end ownership of our data pipelines in Paris. You will shape architecture for Kafka, batch DAGs, and serving paths into ClickHouse Cloud, working with data, ML and product teams to balance performance and cost.

You will drive end-to-end initiatives, establish scalable CI/CD, and build self-serve infrastructure that teams adopt. This is a hybrid Paris‑based role with relocation support.

Qualifications

• 5+ years building and operating distributed, data‑intensive systems in production.
• Strong programming skills in Python and/or Rust with real testing and code review discipline.
• Production experience with Kafka, Spark, Iceberg or object storage, ClickHouse or similar analytics.
• Experience owning services from code to production, including AWS, Kubernetes, and infrastructure‑as‑code.
• Track record of measurably improving performance or cost on specific systems and ability to explain why.

Responsibilities

• Design and operate real-time event processing on Kafka at production scale.
• Build and run batch orchestration pipelines on Dagster.
• Own the serving path into ClickHouse Cloud from ingestion through query.
• Drive projects end-to-end from stakeholder requirements through post-launch iteration.
• Set architecture decisions on partitioning, materialization, retention, and compute sizing.
• Build orchestration patterns and testing frameworks the team relies on.
• Establish CI/CD and data contracts to reduce manual review overhead.
• Turn recurring fixes into reusable building blocks.
• Design self-serve infrastructure adopted by teams.

Skills

Distributed systems

Python

Rust

Testing & code review

Cross-functional communication

Tools

Kafka

Spark

Iceberg

ClickHouse

AWS

Kubernetes

IaC

Job description

About the company

Streaming TV is no longer just a brand awareness channel. It's becoming a core part of the performance marketing mix, alongside search and social. the company.co is building the platform that makes TV work like the rest of the acquisition stack: targeted, measurable, and optimized for results.

the company.co is an Audience First Streaming TV Advertising platform that gives marketers the tools to reach the right audiences, optimize campaigns in real time, and understand what's actually driving business outcomes. With hyper-targeted segmentation, AI-powered recommendations, real-time optimization, and incrementality measurement, the company brings the precision and accountability of digital advertising to the biggest screen in the house.

Today, more than 12,000 brands use the company.co to reach 120 million+ households. And in August 2026, the company.co became a Walmart company, opening up a new chapter for the business and the industry. With Walmart's first-party data and purchase signals now part of the the company platform, advertisers can connect TV advertising to real-world transactions and measure the impact of CTV with a level of precision previously associated with platforms like Google and Meta.

This is a unique moment to join the company. With Walmart's scale, data, and reach behind us, we're building the next generation of TV advertising and creating a more measurable, performance-driven future for the channel.

About the Role

You'll join the Data team, the backbone behind every data-driven decision at the company, from internal operations to the reporting advertisers check every day. The team runs three interlocking stacks: a batch platform that feeds Product, Sales, Finance, and ML; a real-time streaming layer that powers spend tracking and retargeting; and a reporting stack built on ClickHouse Cloud and Cube that serves sub-second analytics through the company's Clear platform. This role exists because bid, win, and impression volumes are growing as fast as the business, and the platform needs an owner who can turn that scale into reliable, cost-efficient infrastructure rather than a growing pile of incidents. You'll get end-to-end ownership of systems the business can't run without, direct influence over the tools every data, ML, and analytics engineer at the company uses daily, and a mandate to treat performance and cost as core engineering problems, not afterthoughts.

What You’ll Do

Platform & Services Ownership

• Design and operate real-time event processing on Kafka at production scale

• Build and run batch orchestration pipelines on Dagster

• Own the serving path into ClickHouse Cloud from ingestion through query

• Drive projects end-to-end from stakeholder requirements through post-launch iteration

• Set architecture decisions on partitioning, materialization, retention, and compute sizing

Developer Enablement & Tooling

• Build orchestration patterns and testing frameworks the whole team relies on

• Establish CI/CD and data contracts that reduce manual review overhead

• Turn recurring one-off fixes into reusable, documented building blocks

• Design self-serve infrastructure that teams adopt without being told to

Reliability & Operational Excellence

• Build alerting and dashboards that catch issues before users feel them

• Set SLOs that reflect real business risk, not vanity metrics

• Lead incident response during on-call rotations

• Write runbooks and automation that shorten and reduce pages

• Anticipate scaling limits before bid/win log growth turns them into incidents

Performance & Cost Optimization

• Profile and optimize services across Kafka, Spark, DuckDB, and ClickHouse

• Treat compute and storage spend as a first-class engineering metric

• Lead cost reviews on the platform's most expensive systems

• Instrument the platform to catch cost regressions early

Cross-Team Partnership

• Translate ambiguous requests from data, ML, and product engineers into concrete deliverables

• Push back on requests that aren't ready or aren't the right approach

• Influence upstream teams on schema, semantics, and SLAs

• Brief senior stakeholders on tradeoffs and decisions, not implementation detail

What You Need

5+ years building and operating distributed, data-intensive systems in production

• Strong programming skills in Python and/or Rust, with real testing and code review discipline

• Production experience with several of: Kafka, Spark, Iceberg or object storage, ClickHouse or similar column-store analytics

• Experience owning services from code to production, including AWS, Kubernetes, and infrastructure-as-code

• A track record of measurably improving performance or cost on specific systems, and the ability to explain why

• Strong cross-functional communication, including the judgment to push back on stakeholders with conflicting priorities

Nice to Haves

Experience in programmatic or streaming TV advertising

Our Values

At the company, we run on three values: Impact, Ambition, and Urgency. We tie every goal to a real business outcome, think 10x rather than settling for good enough, and move daily rather than waiting for perfect conditions.

You’ll thrive here if you own outcomes without needing direction, default to action, and hold yourself to results, not effort.

This is a high-performance environment with high-performance rewards: you'll work alongside people who push you, with real ownership over hard problems in a market that's moving fast.

If that sounds like the best version of your career, we want to meet you.

What We Offer

We will support relocation to Paris for great candidates.

At the company, we want you to build something, own something, and grow fast. Here's how we back that up:

• Equity — Employee Stock Ownership Plan. You're building this; you should own part of it.

• Variable pay — Based on real the company business goals.

• Hybrid flexibility — We're in the Heart of Paris and our team is in 3x a week!

• Health insurance — Full coverage via Alan.

• Meal vouchers — Via Swile.

• Annual offsite — The whole team, once a year, somewhere worth the trip.

• Tech Syncs — Engineering and Product meet in person at least quarterly, worldwide.

Our Interview Process

We respect your time. Here's exactly what to expect — no surprises, no ghosting.

• Recruiter screen — 30 min. We'll share context; you'll share yours.

• Manager interview — Meet the person you'd work with directly.

• Technical Interview — A real problem, not a trick. We'll work through it together.

• Calibration interview — A senior leader joins to ensure we're holding a consistent, high bar.

• Offer — Fast. We don't let good decisions sit.

• Reference checks — Two calls, handled with discretion.

Equal Opportunity

Vibe is an equal opportunity employer. We evaluate all applicants without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

We believe the best ideas come from teams with different backgrounds, perspectives, and experiences. If you need a reasonable accommodation during the application or interview process, please let us know.