{"id":3775596,"url":"https://alion.io/job/nue-staff-engineer-datastores","title":"Staff Engineer, Datastores","company":{"id":2301757,"name":"Nue","domain":"nue.io","url":"https://alion.io/company/nue-io","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Gem","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":{"min":195000,"max":259000,"currency":"AUD","period":"year","gross":null,"usd_annual":181469},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"ClickHouse","optional":false},{"name":"CloudFormation","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Datadog","optional":false},{"name":"Flyway","optional":false},{"name":"GDPR","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Liquibase","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"OpenTofu","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Snowflake","optional":false},{"name":"SOC 2","optional":false},{"name":"Supabase","optional":false},{"name":"Terraform","optional":false},{"name":"DynamoDB","optional":true},{"name":"GitLab CI","optional":true},{"name":"Java","optional":true},{"name":"MariaDB","optional":true},{"name":"Memcached","optional":true},{"name":"MySQL","optional":true},{"name":"Redis","optional":true}],"status":"live","first_seen_at":"2026-11-04T18:06:13Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-08T04:38:43Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About Nue.io\nNue is the agentic, headless, and composable revenue platform powering growth and modern go-to-market in the AI era.\nEvery company is different. Nue enables each customer to quickly build and customize the unique parts of their systems while reusing best practices and reliable systems. Customize and extend our conventional and AI interfaces or build your own - unique to your company, your team and perhaps your customers and partners.\nBuilt on a unified revenue architecture, Nue brings together the entire revenue lifecycle - from pricing and quoting to orders, metering, usage, billing, and revenue operations - in one flexible platform. Its headless APIs, composable experiences, and AI agents give companies the agility to launch products faster, evolve business models continuously, and transact across any channel - with the flexibility to adapt as their business grows, without the constraints of legacy systems.\nWhy you'll love this Nue.io opportunity!\nWe're looking for a Staff Engineer, Datastores to be the technical lead for every system at Nue that stores, moves, and serves data. You'll set the long-term direction for our datastore platform, own its reliability, performance, and cost, and get it ready for 10x growth, while staying hands-on with the hardest problems.\nThis is not a traditional DBA role, and it's broader than a single engine. Our data layer is polyglot: PostgreSQL on AWS (RDS, NeonDB) runs our multi-tenant transactional workloads, ClickHouse runs analytics and reporting, and caching and streaming systems connect them. As a dedicated datastore lead, you'll decide how these systems fit together, which workloads belong where, and the standards every product team follows. Then you'll lead the move to a highly scalable, highly available architecture.\nIf you want company-wide scope, deep technical ownership, and the chance to build the datastore function from the ground up at a fast-growing SaaS company, this is the role for you.\nResponsibilities\nSet the datastore strategy - Own the multi-year technical vision and roadmap for Nue's data layer across PostgreSQL, ClickHouse, caching, and streaming, and align engineering leadership behind it.\nOwn the fleet end to end - Be accountable for the reliability, availability, performance, and cost of every production datastore, and define the SLOs, error budgets, and operational standards they're held to.\n Lead the scale-out architecture - Assess how our multi-tenant data layer needs to grow, choose the right approach (partitioning, read scaling, tenant isolation, sharding, or a different datastore), and deliver it, including tenant placement and online rebalancing where needed, to support 10x growth.\n Lead the migration to fully managed, highly available PostgreSQL - Define the strategy, testing plan, and rollout for moving off self-managed RDS instances (Aurora/NeonDB), with zero data loss and minimal downtime.\n Own the analytics data layer - Lead ClickHouse architecture, including table engines, partitioning and ordering keys, materialized views, and the CDC and ingestion pipelines (e.g., Kafka, ClickPipes) that keep it in sync with our transactional systems.\n Decide what belongs where - Guide product teams on the right datastore and data model for each workload (OLTP, OLAP, cache, queue), and prevent sprawl with clear patterns and paved paths.\nMake performance proactive - Build the monitoring, alerting, load testing, and capacity models that catch slow queries, replication lag, connection saturation, merge pressure, and storage growth before customers do, and answer \"How many more customers can we support?\" with data.\nArchitect for resilience - Own replication topologies, read/write separation, failover, backup and restore, and disaster recovery, with RPO/RTO targets that are defined, tested, and met through regular drills.\n Enable safe, continuous delivery - Establish zero-downtime schema migration practices (backward- and forward-compatible changes, online DDL, migration tooling in CI/CD) that every team uses.\nRaise the bar across engineering - Review schema and query designs, write the standards and design docs others build on, mentor engineers, and act as a force multiplier for Billing, Lifecycle, Data & Integrations, and DevEx.\nSecure the data layer - Own encryption in transit and at rest, access controls, secrets rotation, tenant isolation, and audit logging in line with SOC 2 Type II and GDPR.\nLead with AI-powered tooling - Use AI throughout the role, from migration planning and query optimization to runbook automation and incident response, and set the example for how the team uses it.\nBe one of the team - You're a full member of the Infrastructure & Security team, not a specialist on the side. You take your turn on on-call, help ship releases, fix broken CI/CD pipelines, and pick up general infrastructure work when the team needs it, and you lead the response to major datastore incidents.\nGrow the function - Shape how datastore engineering grows at Nue, including hiring, onboarding, and the operating model as the team scales.\nWhat We’re Looking For\n10+ years in backend, infrastructure, or data platform engineering, including 5+ years owning production databases at scale in SaaS environments.\nA track record of Staff-level impact - you've set technical direction across multiple teams, led multi-quarter initiatives to completion, and aligned senior engineers and leadership around hard trade-offs.\n Expert-level PostgreSQL - internals (MVCC, vacuum, WAL, the planner), query optimization and EXPLAIN analysis, indexing, partitioning, and replication.\n Hands-on experience with a columnar/OLAP datastore, ideally ClickHouse (or Druid, Pinot, Snowflake, BigQuery): schema design, ingestion, and performance tuning for analytical workloads.\n Designed and operated horizontally scaled, multi-tenant database architectures (e.g., partitioning, read scaling, sharding) and replication topologies in production.\nLed large-scale database migrations with zero data loss and minimal downtime.\n Deep experience with managed databases on AWS - RDS, Aurora, and/or serverless PostgreSQL (NeonDB, Aurora Serverless v2, Supabase, etc.).\nStrong observability practice - CloudWatch, pganalyze, HyperDX, Datadog, or similar - including defining and running to SLOs.\n Solid platform engineering foundations - Infrastructure as Code (Terraform/OpenTofu, CloudFormation), connection pooling (PgBouncer, RDS Proxy), schema migration tooling (Flyway, Liquibase, or similar), and strong scripting (Python, Bash).\n Deep, hands-on fluency with AI coding agents and developer tools (e.g., Claude, Cursor, Copilot, Codex), with good instincts for where they create leverage.\nExcellent written and verbal communication - you can write the design doc, explain trade-offs to executives, and build consensus across teams.\nTeam-first and hands-on - you thrive on a small infrastructure team where everyone shares releases, on-call, and pipeline work, and you'd rather fix the broken build than wait for someone else to.\nBachelor's degree in Computer Science, Engineering, or equivalent practical experience.\nPreferred Skills\nExperience with in-memory datastores (Redis, Memcached) and streaming/CDC systems (Kafka, Debezium, ClickPipes).\nExperience with MySQL/MariaDB or NoSQL datastores (e.g., DynamoDB).\nExperience building internal data platforms or self-service database tooling for product teams.\nExperience with SOC 2, GDPR, or other compliance frameworks as they apply to data management.\nDomain knowledge in revenue operations, billing, or financial systems, where correctness and auditability matter.\nExperience with GitLab CI/CD pipelines.\nContributions to open-source database projects, or public talks and writing on database engineering.\nWhat Success Looks Like\nA datastore strategy is in place and followed - A roadmap covering PostgreSQL, ClickHouse, caching, and streaming is published, backed by engineering leadership, and used by product teams to decide where new workloads go.\nThe migration to fully managed PostgreSQL is complete - Planned, tested, and rolled out with zero data loss and minimal downtime, replacing self-managed RDS instances.\nThe data layer is ready for 10x growth - A scaling approach is chosen on evidence, documented, and running in production, with clear headroom for 10x customer growth.\nAnalytics scales independently - ClickHouse ingestion, schema, and query performance meet defined SLOs, and analytical load stays off the transactional databases.\nReliability is measured, not hoped for - Every critical datastore has SLOs and error budgets, monitoring catches issues before customers do, and DR meets RPO/RTO targets in regular drills.\nAI is embedded across datastore operations - AI tooling is used every day for migration planning, query optimization, runbook automation, and operations: a force multiplier, not an afterthought.\n You're the go-to technical leader for data - Product engineering squads (Billing, Lifecycle, Data & Integrations, DevEx) bring you in early on schema design and data architecture, and the standards you set are how Nue builds.\nWhy You'll Love It\nThe opportunity to found and lead Nue's datastore function - company-wide scope, high ownership, and direct influence on our architecture.\nA collaborative and supportive team that invests in your growth, with a clear Staff+ individual contributor path.\nFlexible remote/hybrid work arrangement within Canada.\nThe chance to work on challenging infrastructure problems at a company scaling rapidly in the revenue lifecycle space.\nCompensation\nThe base pay range for this role is CA$195,000 - CA$259,000 per year.\nWhat We Offer:\nCompetitive compensation and benefits that reward your talent and impact.\nComprehensive health, vision, dental, and life insurance \nA front-row seat in the Silicon Valley tech ecosystem, where you’ll work on cutting-edge challenges shaping the future of SaaS, finance, and payments.\nThe opportunity to build truly groundbreaking products - your work won’t just support the business; it will influence how companies around the world monetize and grow.\nA high-energy, collaborative culture where smart, supportive teammates push each other to learn fast, think boldly, and do the best work of their careers.\nRoom to grow, lead, and make your mark in a fast-scaling company that values creativity, ownership, and ambition.\nNue.IO is an equal opportunity employer and welcome people of diverse backgrounds, perspectives, and skills.\nWe will work with applicants to provide accommodations at any stage of the hiring process.\nIf you require accommodations during the interview process, please email your Talent Partner, and we will work with you to meet your needs.","description_format":"text","description_chars":10747,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work","Life insurance"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Billing & Subscription Management","Revenue & SaaS Metrics Analytics"],"lifecycle":[{"event":"open","at":"2026-11-04T23:13:32Z"}],"visa":[],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":0.945,"age_days":3,"expected_fill_days":7,"reasons":["conf:1","win:mid"],"computed_at":"2026-11-08T05:47:12Z"},"pay":{"stated_usd_annual":181469,"is_top_pay":false},"html_url":"https://alion.io/job/nue-staff-engineer-datastores","json_url":"https://alion.io/job/nue-staff-engineer-datastores.json","meta":{"generated_at":"2026-11-08T06:30:47Z","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":14172,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"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":2301757},"rest":"https://alion.io/mcp/rest/get_company?id=2301757"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnue-staff-engineer-datastores"},{"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%2Fnue-staff-engineer-datastores"},{"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%2Fnue-staff-engineer-datastores"},{"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/nue-staff-engineer-datastores\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnue-staff-engineer-datastores"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3775596}},{"tool":"search_jobs","arguments":{"company":"nue.io","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3775596},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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