Senior Software Engineer – Data Infrastructure

About This Opportunity

We are representing a confidential streaming advertising technology company in their search for a Senior Software Engineer focused on Data Infrastructure. This organization operates at significant scale, processing high volumes of bid, win, and impression data while serving real-time analytics to thousands of clients. You'll join a data engineering team responsible for the platform's entire analytical backbone—from batch processing that supports internal operations and machine learning, to real-time streaming infrastructure that powers campaign tracking, to sub-second reporting systems built on modern column-store databases.

This role exists because data volumes are growing rapidly, and the platform needs an engineer who can transform scale into reliable, cost-efficient infrastructure rather than operational burden. You'll have end-to-end ownership of systems the business depends on daily, direct influence over the tools every data and analytics engineer uses, and a mandate to treat performance and cost as core engineering problems.

Responsibilities

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 optimization
• 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 entire team relies on
• Establish CI/CD and data contracts that reduce manual review overhead
• Turn recurring fixes into reusable, documented building blocks
• Design self-serve infrastructure that teams adopt organically

Reliability & Operational Excellence

• Build alerting and dashboards that catch issues before users experience them
• Set SLOs that reflect real business risk
• Lead incident response during on-call rotations
• Write runbooks and automation that shorten and reduce incidents
• Anticipate scaling limits before log growth turns them into problems

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
• Provide informed pushback on requests that aren't ready or appropriate
• Influence upstream teams on schema, semantics, and SLAs
• Brief senior stakeholders on tradeoffs and decisions

What We're Looking For

Required Qualifications:

• 5+ years building and operating distributed, data-intensive systems in production
• Strong programming skills in Python and/or Rust, with solid testing and code review practices
• Production experience with several of: Kafka, Spark, Iceberg or object storage, ClickHouse or similar column-store analytics databases
• 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, with the ability to explain your approach
• Strong cross-functional communication skills, including judgment to push back on stakeholders with conflicting priorities

Nice to Have:

• Experience in programmatic or streaming advertising technology

This is a high-performance environment where you'll work alongside engineers who push each other, with real ownership over challenging problems in a fast-moving market. You'll thrive here if you own outcomes without needing direction, default to action, and hold yourself to results rather than effort.

How We Work With You

When you apply through Get A Job.ai, our talent team reviews your background and conducts an initial screening to understand your experience and goals. If there's a strong match, we submit your profile to our client with our recommendation. Throughout the process, we serve as your advocate and guide.

Please apply exclusively through Get A Job.ai. Do not attempt to contact the client directly, as this may disqualify your candidacy.

Interview Process:

• Recruiter screen (30 minutes)
• Manager interview with your potential direct leader
• Technical interview working through a real problem collaboratively
• Calibration interview with a senior leader
• Offer and reference checks

Additional Details

Location: Paris (hybrid, in-office 3 days per week in the heart of Paris). Relocation support available for exceptional candidates.

Benefits include:

• Employee stock ownership plan
• Variable pay based on business goals
• Full health insurance coverage via Alan
• Meal vouchers via Swile
• Annual company offsite
• Quarterly in-person technical syncs

Equal Employment Opportunity

Get A Job.ai 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.