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Human resources ⇄ Database

Lever to Scaleway Postgres integration — real-time, two-way sync

Keep Lever and Scaleway Postgres in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Lever and Scaleway Postgres

Put your workforce data where your apps can reach it: Scaleway Postgres and Lever share the same people, positions, and org structure in real time.

Lever is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. Scaleway Postgres is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Interviews, Notes and Contacts, Opportunities, Postings in Lever need to exist as queryable Views, Materialized views, Schemas, Sequences in Scaleway Postgres before an app can act on them. When that bridge is a nightly export or a hand-run CSV, every downstream system spends the day working from a roster that has already moved on.

Stacksync syncs Views, Materialized views, Schemas, Sequences in Scaleway Postgres with Interviews, Notes and Contacts, Opportunities, Postings in Lever field by field, in real time. You decide which system owns which fields — Lever typically owns identity and org attributes, while operational or computed values can flow back the other way — and Stacksync keeps every copy consistent, matching records on a stable key and resolving conflicts by rules you set.

The result is one live picture of the workforce on both sides: HR keeps its source of truth, and the database keeps a current mirror that internal apps, reports, and access controls can trust without a batch window in between.

Common use cases

  • 01 Sync production tables from Scaleway Postgres into a CRM so sales and support see live product usage on customer records
  • 02 Run a two-way sync between Scaleway Postgres and SaaS tools so edits made in either system converge on the same rows
  • 03 Two-way sync Opportunities and their Stages between Lever and a Postgres database so recruiting ops and analysts query the pipeline in SQL while recruiters keep working in Lever.
  • 04 Push Postings and Requisitions into an HRIS or warehouse to reconcile approved headcount against open roles.

Common sync patterns

Org and structure stay aligned

Groups, departments, managers, and reporting lines from Lever stay consistent in Scaleway Postgres, so hierarchy-driven logic and permissions don't drift.

Computed and operational fields flow back

Values assembled or corrected in Scaleway Postgres write onto the matching record in Lever where those fields are writable, keeping the people system enriched.

Mirror people records into the database

Records maintained in Lever land as queryable Views, Materialized views, Schemas, Sequences in Scaleway Postgres, so internal apps and dashboards read live data instead of a periodic export.

What you can sync between Lever and Scaleway Postgres

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Lever objects Scaleway Postgres objects How this pairing syncs
Feedback Interview feedback and scorecard forms attached to Opportunities; created via POST /opportunities/:id/feedback and consolidated into a warehouse for interviewer analytics. Schemas Namespace tables so multiple applications or environments can be synced selectively. Feedback is specific to Lever and Schemas to Scaleway Postgres — each maps to any object or custom field on the other side.
Interviews Scheduled interview panel events with times and interviewers; read for scheduling reporting and time-to-hire metrics, and creatable via the panels endpoint. Sequences Generate primary keys; sync tooling must respect them when writing rows. Interviews is specific to Lever and Sequences to Scaleway Postgres — each maps to any object or custom field on the other side.
Notes and Contacts Free-text Notes on Opportunities plus the underlying Contact (person) that dedupes multiple Opportunities; notes are posted via POST /opportunities/:id/notes and contact-level tags, sources, and links can be added back for attribution. Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. Notes and Contacts is specific to Lever and Columns to Scaleway Postgres — each maps to any object or custom field on the other side.
Opportunities The core pipeline record for a candidate applying to a role; replaced the deprecated Candidates endpoint. Created via POST /opportunities and updated (stage, archive, links, tags, sources, files) through the API, and synced two-way with a database or HRIS. Tables Primary sync unit; each table maps to an object or table on the other side of the sync. Opportunities is specific to Lever and Tables to Scaleway Postgres — each maps to any object or custom field on the other side.
Postings Job posting records with categories, apply URLs, workplace type, and requisition codes. Can be created via POST /postings and read into a warehouse for open-role reporting. Views Read-only sources for shaping data before it leaves the database. Postings is specific to Lever and Views to Scaleway Postgres — each maps to any object or custom field on the other side.
Requisitions Headcount/requisition records with custom requisition fields, tied to Postings; read via GET /requisitions and synced to an HRIS to reconcile approved headcount against open roles. Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. Requisitions is specific to Lever and Materialized views to Scaleway Postgres — each maps to any object or custom field on the other side.

How changes propagate between Lever and Scaleway Postgres

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Lever Scaleway Postgres Sub-second propagation

DetectionLever notifies Stacksync of record changes through webhook events. Webhooks for candidate and application lifecycle events (applicationCreated, candidateStageChange, candidateArchiveStateChange, candidateHired,.

DeliveryEach detected change is applied to Scaleway Postgres as a row-level write, with types converted between the two schemas.

Scaleway Postgres Lever Sub-second propagation

DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.

DeliveryEach detected change is written to Lever through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Lever: 10 requests/second per API key with a token-bucket burst to ~20/s; POSTs that create candidates/applications are throttled to roughly 2/second. Sustained overage returns 429 with Retry-After. List endpoints are cursor-paginated at up to 100 records per page.
  • Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with Lever ⇄ Scaleway Postgres

Connect Lever and Scaleway Postgres for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Lever–Scaleway Postgres connection.

Real-time

Two-way sync

Changes in Lever or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Lever or Scaleway Postgres data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Lever or Scaleway Postgres record.

Observability

Monitoring

Track your Lever ⇄ Scaleway Postgres sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Lever and Scaleway Postgres.

How the Lever and Scaleway Postgres connectors work

Lever

Integration surface
REST Data API (api.lever.co/v1)
Authentication
API key over HTTP Basic auth (key as username, blank password) for internal integrations, or OAuth 2.0 with 1-hour access tokens for partner integrations (auth.lever.co)
Change detection
Webhooks for candidate and application lifecycle events (applicationCreated, candidateStageChange, candidateArchiveStateChange, candidateHired, interview created/updated/deleted), plus incremental polling via created_at and updated_at range filters on Opportunities
Capabilities
read · write · webhooks
Rate limits
10 requests/second per API key with a token-bucket burst to ~20/s; POSTs that create candidates/applications are throttled to roughly 2/second. Sustained overage returns 429 with Retry-After. List endpoints are cursor-paginated at up to 100 records per page.
Lever setup guide

Scaleway Postgres

Integration surface
SQL wire protocol (PostgreSQL)
Authentication
Database credentials (username/password over TLS)
Change detection
Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
Capabilities
read · write · CDC
Rate limits
Throughput is bounded by instance size and connection limits rather than API quotas
How it works

How to connect Lever to Scaleway Postgres — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Lever and Scaleway Postgres with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Lever connected
    Scaleway Postgres connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Lever and Scaleway Postgres objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Lever ⇄ Scaleway Postgres
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Lever Scaleway Postgres
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Lever and Scaleway Postgres integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 443 integrations available for Lever and Scaleway Postgres.

Popular · 8 of 443
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