Salesforce development services from senior Apex and LWC teams

Ryz Labs is a Salesforce development company that gives you a dedicated team of senior Salesforce engineers to build custom Apex and Lightning Web Components, integrate Salesforce with the rest of your stack, and clean up orgs that have grown hard to change. Every engineer is in the top 1% of the tens of thousands we have interviewed, and the team works on US business hours, including New York hours, with same-day code review.

What we build

Our Salesforce teams are developers first. They do the work that declarative configuration can't, and they know when a Flow is the better answer than code.

• Custom Apex: trigger frameworks, service and selector layers, batch and queueable jobs, and REST endpoints written to stay inside governor limits at production data volumes.
• Lightning Web Components: custom record pages, guided workflows, data tables and console components for Sales Cloud and Service Cloud users, built with the Lightning Design System.
• System integrations: Salesforce connected to ERPs, data warehouses, marketing platforms and internal services through REST and Bulk APIs, Platform Events, Change Data Capture or MuleSoft.
• Experience Cloud sites: customer and partner portals with custom LWCs, sharing rules and authentication set up so external users see exactly what they should.
• Flow and automation cleanup: overlapping Process Builders, Workflow Rules, triggers and Flows consolidated into a clear order of execution, with legacy automation migrated to Flow or Apex.
• Org health and technical debt work: unused fields, duplicate automation and hard-coded IDs removed; code coverage raised with meaningful tests; metadata moved into source control.
• Salesforce DevOps setup: Salesforce DX, scratch orgs or sandboxes per developer, second-generation (2GP) packages, and CI pipelines that validate and deploy metadata.
• AI features on Salesforce data: Agentforce and Einstein configuration, or custom Apex and external services that call LLMs with Salesforce context. For AI systems beyond the platform, see AI integration services.

How an engagement works

1. Talk. A scoping call with your Salesforce owner or CRM lead about the clouds you use, your org's history, integrations and the outcome you need.
2. Match. We propose a team scoped to your org, such as senior Salesforce developers plus an integration engineer or a Salesforce-savvy QA engineer. You get a plan, a price and the names of the people.
3. Join. The team starts in your sandboxes, your source control and release process, and your standups, with weekly demos in a sandbox your users can try.
4. Grow. Add people as scope grows, or hand the work to your admins and developers with documentation of every automation and integration.

Week 1 covers sandbox access and an org review: Apex test coverage, automation per object, integration users, API usage and limits, and how changes currently get to production. Month 1 usually means metadata is in Git, a CI pipeline validates deployments, and the first feature or fix is in production. By month 3, the team releases on a regular cadence through the pipeline, integrations have monitoring and retry handling, and the riskiest technical debt has a plan and an owner.

The stack our teams work in

How we keep Salesforce orgs fast and safe to change

Salesforce is a multi-tenant platform with hard limits, and most orgs have years of automation layered on top of each other. The failures we see most, and how a senior team prevents them:

• Governor limit failures. SOQL queries or DML inside loops work in a sandbox with ten records and fail in production with ten thousand. All Apex is bulkified, tested with 200-record batches, and long work moves to Batch Apex or Queueables.
• Recursive and conflicting automation. A trigger, a Flow and an old Process Builder all updating the same record cause loops and "too many SOQL queries" errors. We map automation per object, use one trigger per object through a framework, and set a clear order of execution.
• Coverage without assertions. The 75% Apex coverage requirement is easy to satisfy with tests that check nothing. Our tests assert outcomes, use test data factories, and cover bulk, negative and permission cases.
• Sharing and security gaps. Apex runs in system mode by default, so it can expose records a user should not see. We use with sharing, user-mode SOQL and WITH SECURITY_ENFORCED checks, and run Salesforce Code Analyzer on every pull request.
• Hard-coded IDs and environment drift. Record type IDs and URLs that differ between sandboxes break deployments. Custom Metadata Types and Custom Settings hold configuration, and every org is deployed from the same source.
• Fragile integrations. Callouts that time out, API limits hit by a chatty integration, and duplicate records from retries are common. We batch with Bulk API, use Platform Events or Change Data Capture instead of polling, add external IDs for upserts, and alert on failed syncs.
• Change-set deployments. Manual change sets lose track of what went where. Moving to Salesforce DX with source control and validated CI deploys makes every release repeatable and reversible.

Team shapes and cost

Typical Ryz pricing is $7,000 to $15,000 per engineer per month. Mid-level engineers (comparable to Amazon L5) cost $7,000 to $10,000; seniors (comparable to Amazon L6) cost $10,000 to $15,000; leads start at $15,000 and are quoted per team. Monthly cost is headcount times rate, and project cost is team size times duration times monthly rate.

• Feature team (custom components and Apex for one cloud): 2 senior Salesforce developers. 2 × $10,000–$15,000 = $20,000–$30,000 per month.
• Integration and cleanup team: 1 tech lead, 2 senior Salesforce developers and 1 senior integration engineer. $15,000+ for the lead plus 3 × $10,000–$15,000 = from about $45,000–$60,000 per month.
• Multi-cloud program (Sales, Service and Experience Cloud plus integrations): 1 lead, 4 senior Salesforce developers and 1 QA automation engineer, quoted per team after scoping.

Quotes are scoped per team, and you get a plan, a price and the names of the people before you start.

Dedicated team or staff augmentation?

A dedicated development team fits when you want a scoped outcome delivered: a portal, an integration, an org cleanup, a move to Salesforce DX. The team owns the plan and delivery and works with your admins, CRM owner and business stakeholders.

Staff augmentation fits when your Salesforce lead owns the roadmap and the backlog is bigger than the team. Then you hire Salesforce developers who work on your team, take tickets from your backlog and follow your release process.

When Ryz isn't the right fit

If you need a few hours of admin help or a single report built, a self-serve freelance marketplace is the faster route. If you need support coverage across European or Asian time zones, or follow-the-sun operations, a global network fits better. And if you need a licensing reseller, a full CRM strategy and process redesign led by consultants, or a Salesforce implementation partner with its own packaged accelerators, look at large consultancies; our teams are senior developers who build and ship.

Related

• Software development services: all engineering services from Ryz teams
• API development services for Salesforce integrations
• Data engineering services
• Test automation services
• Salesforce developer rates

FAQ

How much do Salesforce development services cost?

Ryz engineers typically cost $7,000 to $15,000 per engineer per month: $7,000 to $10,000 for mid-level, $10,000 to $15,000 for senior, and $15,000 and up for leads, quoted per team. Two senior Salesforce developers are $20,000 to $30,000 per month. You get a scoped plan, a price and the names before work starts.

How quickly can a Salesforce team start?

After the scoping call we propose a team with named developers. Most of the timeline depends on scope and your onboarding: sandbox access, licenses for the team, source-control setup and any security review. We don't promise a start date before we have seen those.

Do your developers work with admins, or replace them?

They work with them. Admins usually own configuration, users and day-to-day changes; our developers take the Apex, LWC, integration and DevOps work, and agree with your admins on when a Flow is enough and when code is needed.

Can you fix an org with years of conflicting automation?

Yes. We start by mapping every trigger, Flow, Process Builder and Workflow Rule per object, then consolidate one object at a time, with tests in place before anything is changed, so users don't see behavior shift underneath them.

Can you move us off change sets?

Yes. We retrieve your metadata into Git, set up Salesforce DX and a CI pipeline (GitHub Actions, Gearset or Copado, depending on what you prefer), and run validated deployments to each sandbox and then production.

Questions we didn't answer? Email info@ryzlabs.com.