{"id":28450,"url":"https://alion.io/job/vibe-senior-software-engineer-data-infrastructure","title":"Senior Software Engineer - Data Infrastructure","company":{"id":3937,"name":"Vibe.co","domain":"vibe.com","url":"https://alion.io/company/vibe","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":77,"computed_at":"2026-09-29T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":68000,"max_usd":126000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":35},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"ClickHouse","optional":false},{"name":"Dagster","optional":false},{"name":"DuckDB","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-07-31T15:09:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-09-30T00:15:14Z","board_verified":true,"closed_at":null,"days_open":60,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":60},"description":"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. Vibe.co is building the platform that makes TV work like the rest of the acquisition stack: targeted, measurable, and optimized for results.\nVibe.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, Vibe brings the precision and accountability of digital advertising to the biggest screen in the house.\nToday, more than 12,000 brands use Vibe.co to reach 120 million+ households. And in August 2026, Vibe.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 Vibe 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.\nThis is a unique moment to join Vibe. 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.\nAbout the Role\nYou'll join the Data team, the backbone behind every data-driven decision at Vibe, 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 Vibe'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 Vibe uses daily, and a mandate to treat performance and cost as core engineering problems, not afterthoughts.\nWhat You'll Do\nPlatform & Services Ownership\nDesign and operate real-time event processing on Kafka at production scale\n\nBuild and run batch orchestration pipelines on Dagster\n\nOwn the serving path into ClickHouse Cloud from ingestion through query\n\nDrive projects end-to-end from stakeholder requirements through post-launch iteration\n\nSet architecture decisions on partitioning, materialization, retention, and compute sizing\n\nDeveloper Enablement & Tooling\nBuild orchestration patterns and testing frameworks the whole team relies on\n\nEstablish CI/CD and data contracts that reduce manual review overhead\n\nTurn recurring one-off fixes into reusable, documented building blocks\n\nDesign self-serve infrastructure that teams adopt without being told to\n\nReliability & Operational Excellence\nBuild alerting and dashboards that catch issues before users feel them\n\nSet SLOs that reflect real business risk, not vanity metrics\n\nLead incident response during on-call rotations\n\nWrite runbooks and automation that shorten and reduce pages\n\nAnticipate scaling limits before bid/win log growth turns them into incidents\n\nPerformance & Cost Optimization\nProfile and optimize services across Kafka, Spark, DuckDB, and ClickHouse\n\nTreat compute and storage spend as a first-class engineering metric\n\nLead cost reviews on the platform's most expensive systems\n\nInstrument the platform to catch cost regressions early\n\nCross-Team Partnership\nTranslate ambiguous requests from data, ML, and product engineers into concrete deliverables\n\nPush back on requests that aren't ready or aren't the right approach\n\nInfluence upstream teams on schema, semantics, and SLAs\n\nBrief senior stakeholders on tradeoffs and decisions, not implementation detail\n\nWhat You Need\n5+ years building and operating distributed, data-intensive systems in production\n\nStrong programming skills in Python and/or Rust, with real testing and code review discipline\n\nProduction experience with several of: Kafka, Spark, Iceberg or object storage, ClickHouse or similar column-store analytics\n\nExperience owning services from code to production, including AWS, Kubernetes, and infrastructure-as-code\n\nA track record of measurably improving performance or cost on specific systems, and the ability to explain why\n\nStrong cross-functional communication, including the judgment to push back on stakeholders with conflicting priorities\n\nNice to Haves\nExperience in programmatic or streaming TV advertising\n\nOur Values\nAt Vibe, 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.\nYou'll thrive here if you own outcomes without needing direction, default to action, and hold yourself to results, not effort.\nThis 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.\nIf that sounds like the best version of your career, we want to meet you.\nWhat We Offer\nWe will support relocation to Paris for great candidates.\nAt Vibe, we want you to build something, own something, and grow fast. Here's how we back that up:\nEquity - Employee Stock Ownership Plan. You're building this; you should own part of it.\n\nVariable pay - Based on real Vibe business goals.\n\nHybrid flexibility - We're in the Heart of Paris and our team is in 3x a week!\n\nHealth insurance - Full coverage via Alan.\n\nMeal vouchers - Via Swile.\n\nAnnual offsite - The whole team, once a year, somewhere worth the trip.\n\nTech Syncs - Engineering and Product meet in person at least quarterly, worldwide.\n\nOur Interview Process\nWe respect your time. Here's exactly what to expect - no surprises, no ghosting.\nRecruiter screen - 30 min. We'll share context; you'll share yours.\n\nManager interview - Meet the person you'd work with directly.\n\nTechnical Interview - A real problem, not a trick. We'll work through it together.\n\nCalibration interview - A senior leader joins to ensure we're holding a consistent, high bar.\n\nOffer - Fast. We don't let good decisions sit.\n\nReference checks - Two calls, handled with discretion.\n\nEqual Opportunity\nVibe 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.\nWe 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.\nReferral Instructions\nBeing referred? Ask your contact to submit your application directly on your behalf.","description_format":"text","description_chars":7158,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Health insurance"],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Advertising"],"lifecycle":[{"event":"open","at":"2026-07-31T15:09:00Z"}],"liveness":{"score":67,"band":"ok","label":"Likely open","p_open":1,"p_active":0.889,"p_room":0.75,"age_days":59,"expected_fill_days":77,"reasons":["conf:4","velocity","win:late"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/vibe-senior-software-engineer-data-infrastructure","json_url":"https://alion.io/job/vibe-senior-software-engineer-data-infrastructure.json","meta":{"generated_at":"2026-09-30T05:44:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4130,"day_limit":5000,"remaining_today":870,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}