When Outsourcing Becomes a Nightmare: A Backend Developer’s Survival Story

Years ago, early in my career, my father warned me that doing a good job often means ignoring a boss’s opposition and doing what must be done, either making the boss happy or following every decision blindly.

At a Fortune‑500 company, the CTO signed a large project with a key client, leveraging a personal relationship, and outsourced a critical component to a large tech services firm that claimed to have a product to handle most of the heavy lifting.

Unreliable outsourcing

The vendor’s “product” was essentially a loosely fitting solution that required extensive customization to meet our needs, resulting in a hybrid of vendor software flaws and custom code shortcomings.

We ended up with an inflexible vendor package forced to do tasks it wasn’t designed for, branching off from the vendor’s main codebase, which would become unsustainable once maintenance costs rose.

Developers mocked the idea as a terrible one, especially since outsourced teams often missed delivery deadlines.

Despite the CTO’s rotating reports that the project was a good idea, no one internally believed it.

Problems emerge

The outsourced team promised integration by October, but as the summer progressed, delays grew and the vendor delivered a “product” in August, kicking off a disastrous integration.

In September we discovered a fatal flaw: the vendor stored every transaction as a JSON record in a massive JSON document.

Adding a new transaction required reading the entire document, appending the record, and writing it back, causing performance to degrade as data grew.

The vendor suggested indexing fields, which helped until we hit MongoDB’s 16 MB document limit.

When real customer data hit the limit in October, the project faced a critical turning point.

Concealment and truth

We hid the limitation from the client, delayed the launch by a month, and started a secret “Skunkworks” team to replace the outsourced functionality without informing the vendor.

Our internal team of three (one designing the database, one building the backend interface, and one handling business logic/network services) faced a vendor team of about 70 people.

A database designer

A backend developer for the database interface

A business‑logic/network‑service developer

The client was told a new version would be ready in January, unaware that we were rewriting the entire core system.

With less than two months left and a year‑long delayed start, our three‑person team worked through holidays while the vendor’s 70‑person team rested.

We logged 60‑80 hour weeks for six months to meet the original release date, exhausting everyone.

Eventually, we completed the replacement in about a month before Christmas, though some features still needed polishing.

When the CTO demanded we cancel holidays and work overtime, I agreed and began lying to upper management about progress, claiming milestones were being hit.

We reported false updates daily, claiming integration steps and network services were completed.

In January we delivered on schedule, the release performed well, and the team felt like rock stars.

Later, I confessed to the CTO that I had lied.

Insights

Many readers attribute this experience to a toxic work culture, and developers relate to the story.

Commenter knodi123: This sounds crazy, but I faced the same situation at my second job, with a public .js file storing the entire database and a monolithic index file.

@karmajunkie: I once worked at a company using ElasticSearch for custom forms, eventually hitting field‑limit issues and having to switch to a custom cluster.

Flarg: Even healthy large companies do this, outsourcing low‑code solutions that delay projects and add no value.

motbus3: If you’re delivery‑driven and cancel holidays to keep working, you’ll regret every minute.

Related reading:

First‑year CTO lessons

Four essential thinking models for architects

New CTO’s 14 lessons