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ServiceNow & ITSM

Hire Salesforce Developers and Administrators

Salesforce developers and administrators who keep the org governable — declarative first, Apex where it is genuinely needed.

The characteristic Salesforce problem is not that something cannot be built. It is that the same thing has been built four times, in four different ways, by four different people, and all four still run when a record is saved.

Four automations, one save, eleven seconds

Automation accumulates in layers: workflow rules from 2016, process builders from 2019, flows from last year, and a trigger somebody wrote because the flow was hitting a limit. Each one works in isolation. Together they produce an order of execution nobody can predict and a save that takes eleven seconds. Consolidating that is unglamorous and is usually the highest-value work available in a mature org.

The order of execution is documented and it is not intuitive, which is why arguments about it are common and usually settled by experiment. A field updated by one automation can re-trigger another, and recursion in an org of this shape is not a theoretical risk — it is the reason somebody added a static boolean flag in 2018 that is now load-bearing.

Why bulkification is a correctness requirement rather than an optimisation

The second thing is governor limits, which punish code written as though the org were small. A trigger that queries inside a loop passes every test with two records and fails the first time someone imports two hundred. Bulkification is not an optimisation in Salesforce; it is a correctness requirement, and it is a fast way to tell whether a developer has worked at volume.

The same applies to flows. A flow with a get inside a loop is the declarative version of the same mistake and it fails in the same place, with the additional problem that nobody thinks of it as code and so nobody reviews it as code.

Sharing and visibility: invisible until it is a finding

The third is sharing and visibility. Sharing rules, role hierarchy, profiles and permission sets interact in ways that are hard to reason about, so the shortcut — give the user a profile that works — gets taken under deadline. It is invisible until the day someone runs a report they should not have been able to run.

The maintainable pattern is a minimal profile plus permission sets that map to what somebody does, because a permission set can be granted and revoked without cloning a profile. Orgs with thirty custom profiles have usually answered the same question thirty times.

What consolidating automation actually looks like

It starts with an inventory per object: every trigger, flow, process builder and workflow rule that fires on it, and what each one is for. That is a week of unglamorous work and it is the only way to know what can be removed safely.

Then the destination is chosen deliberately — record-triggered flow for most things, Apex where there is genuine complexity or a bulk pattern flows handle badly — and the old automation is retired rather than left disabled. Disabled automation is not consolidation. It is the same problem with a flag on it.

What we interview for

  • The order of execution, and a recursion problem they have actually had to fix
  • How they would find every automation attached to an object before adding another
  • A test class they wrote for behaviour rather than for coverage percentage
  • Why a user could see a record they should not have, and how they proved it

When a Salesforce developer is not what you need

If the requirement can be met by configuration and a single record-triggered flow with an owner and a test, that is the right answer, and reaching for Apex adds a deployment dependency for no benefit.

If the org is small, recently implemented and administered by somebody competent, development capacity mostly manufactures the debt described above. The case for this role is a mature org where saves have become slow, where nobody can predict what a change will trigger, or where the data volumes have outgrown code that was written before them.

And if the underlying issue is that sales and service disagree about what a stage means, that is a process conversation. Building it twice is how the org got here.

Teams are built for companies in the United States and the Gulf — the UAE, Saudi Arabia, Qatar, Kuwait, Bahrain and Oman. The engineers are in Pune, which matters mostly for the clock. Dubai is ninety minutes behind us and Riyadh two and a half hours, so a Gulf team shares almost the whole working day. New York is nine and a half hours behind, so American engagements run on a written handover and one fixed overlap window rather than on a standing call — a real constraint, and better stated than discovered.

What these engineers do

  • Sales Cloud, Service Cloud and Experience Cloud configuration
  • Apex, triggers and Lightning Web Components where declarative tools run out
  • Bulkified code and governor-limit discipline against real data volumes
  • Integrations, external objects and middleware boundaries
  • Sharing, profiles and permission sets that reflect who should actually see what

Delivered AI-first

Developers use AI assistance to read inherited Apex and flows, draft test classes towards genuine coverage rather than the minimum, and summarise the automation attached to an object before adding to it. A person reviews every deployment.

Tell us what the Salesforce work is.

Roughly what it involves, the seniority you need, and when it has to start. We will say what it takes to staff it, or say honestly that we are not the right people for it.

A person reads every enquiry and replies within one working day.