{"id":119504,"url":"https://alion.io/job/decagon-senior-software-engineer-data-infrastructure-3","title":"Senior Software Engineer, Data Infrastructure","company":{"id":48029,"name":"Decagon","domain":"decagon.ai","url":"https://alion.io/company/decagon-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":84,"open_postings":70,"ghost_share":0,"stale_share":0.643,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"ClickHouse","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"dbt","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"GitOps","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google GKE","optional":false},{"name":"Grafana","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prefect","optional":false},{"name":"Prometheus","optional":false},{"name":"RabbitMQ","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-08-24T23:01:42Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-17T06:40:16Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":53},"description":"About Decagon\nDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.\nOur technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.\nWe’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.\nWe’re an in-office company, driven by a shared commitment to excellence and velocity. Our values - Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle - shape how we work and grow as a team.\nAbout the Team\nThe Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real-time voice. We partner closely with product, data, and ML to deliver high-scale, low-latency systems with clear SLOs and great developer ergonomics.\nWe organize around four focus areas:\nCore Infra: The foundational cloud stack-networking, compute, storage, security, and infrastructure-as-code-to ensure reliability, scale, and cost efficiency.\n\nData Infra: Streaming/batch data platforms powering analytics/BI and customer-facing telemetry, including for customer-managed and on-prem environments.\n\nML Infra: GPU and model-serving platforms for LLM inference with multi-provider routing and support for on-prem/air-gapped deployments.\n\nPlatform (DevEx): CI/CD, paved paths, and core services that make shipping fast, safe, and consistent across teams.\n\nOur mission is to deliver magical support experiences - AI agents working alongside humans to resolve issues quickly and accurately.\nAbout the Role\nWe're hiring a Senior Data Infrastructure Engineer to design, build, and operate the data systems that power Decagon's AI products. You'll own critical data pipelines and storage layers end-to-end, improve reliability and performance, and create paved paths that let every Decagon engineer work confidently with data at scale.\nIn this role, you will\nDesign and implement high-throughput data pipelines and streaming systems with strong SLOs, clear runbooks, and actionable telemetry.\n\nBuild and operate real-time and batch ingestion infrastructure using tools like Kafka, Flink, and Airflow.\n\nOwn our analytical data layer - schema design, query performance, and cost optimization across ClickHouse, BigQuery, or similar.\n\nPartner with research and product teams to architect data solutions, evaluate performance, and scale new features.\n\nTune pipeline and query latencies: optimize data paths, apply smart caching/partitioning, and hit tight p95/p99 targets.\n\nLead infrastructure-as-code (Terraform) and GitOps practices for data systems; reduce drift with reusable modules and policy-as-code.\n\nParticipate in on-call and drive down toil through automation and elimination of recurring data issues.\n\nYour background looks something like this\n5+ years building and operating production data infrastructure at scale.\n\nHands-on experience with Tier 1 data technologies: ClickHouse, Kafka (or MSK/Pub-Sub/RabbitMQ), and Flink or dbt.\n\nProven track record meeting high availability and low latency targets across streaming and batch workloads.\n\nExcellent observability chops (OpenTelemetry, Prometheus/Grafana, Datadog) and strong incident response discipline.\n\nClear written communication and the ability to turn ambiguous data requirements into simple, reliable designs.\n\nEven better if you have\nExperience with CDC tooling (Debezium) and orchestration frameworks (Airflow, Dagster, or Prefect)\n\nFamiliarity with Spark or Dask for large-scale data processing\n\nExperience with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks)\n\nExperience being an early data/platform/infrastructure engineer at another company\n\nStrong Kubernetes experience (GKE/EKS/AKS) and multi-cloud exposure (GCP, AWS, Azure)\n\nExperience with customer-managed deployments\n\nCompensation\n$200K - $400K + Offers Equity\nThis range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact. \nIn addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States.\nBenefits\nWe proudly offer the following benefits for our full-time employees:\nMedical, Dental, and Vision benefits for you and your family\n\nLife Insurance and Disability Benefits\n\nRetirement Plan (e.g., 401K, pension)\n\nParental Leave\n\nFertility and family building benefits through Carrot\n\nMonthly stipend to support your wellness, lifestyle, and work-life balance\n\nDaily lunches and snacks in the office to keep you at your best\n\nTake what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)\n\nThese benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.","description_format":"text","description_chars":5431,"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":["401k plan","Equity","Life insurance","Parental leave","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Conversational AI","AI Agents","Customer Support & Help Desk Software"],"lifecycle":[{"event":"open","at":"2026-08-24T23:01:42Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 32","filings_12m":32,"filings_prev_12m":4,"green_card_filings_12m":0,"median_offered_wage_usd":262500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":14}],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":1,"p_active":0.582,"p_room":0.44,"age_days":53,"expected_fill_days":48,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":400000,"is_top_pay":true},"html_url":"https://alion.io/job/decagon-senior-software-engineer-data-infrastructure-3","json_url":"https://alion.io/job/decagon-senior-software-engineer-data-infrastructure-3.json","meta":{"generated_at":"2026-10-17T06:48:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":9339,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":48029},"rest":"https://alion.io/mcp/rest/get_company?id=48029"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdecagon-senior-software-engineer-data-infrastructure-3"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdecagon-senior-software-engineer-data-infrastructure-3"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdecagon-senior-software-engineer-data-infrastructure-3"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/decagon-senior-software-engineer-data-infrastructure-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdecagon-senior-software-engineer-data-infrastructure-3"}]}