Case Study / Gaming Platform
Engineering Scale
for 100M+ Players
How Golabs delivered specialized engineering teams that cut time-to-hire, accelerated feature velocity, and kept a global real-money gaming platform online around the clock.
The Challenge
Scaling Engineering in a High-Stakes, High-Volume Environment
A leading skill-based gaming platform connecting 100M+ players across web and mobile was growing fast, but its internal engineering capacity couldn't keep pace. With billions of games played and real money on the line every day, every sprint delay carried real cost.
3–6 mo
avg. time-to-hire
15+
open engineering roles
−40%
feature delivery velocity
High
peak load risk
Talent Bottlenecks Across Specialisms
Specialised engineers in Data, AI, Full-Stack, and DevOps were hard to find and even harder to retain, slowing delivery of high-priority initiatives by months.
Saturated Local Hiring Markets
Highly competitive local markets meant recruitment cycles stretched to 3–6 months, leaving critical positions open and roadmaps at risk.
Real-Time Systems Demand 24/7 Reliability
Live cash-prize tournaments and real-money transactions meant zero tolerance for downtime. Any gap in coverage directly impacted player trust and revenue.
Golabs augmentation model, squad → product pipeline
The Solution
Embedded Engineering Teams Across Every Critical Function
Embedded Full-Stack Squads
Dedicated React and Node.js engineers integrated directly into existing sprints, adopting internal processes and Git workflows from week one.
Devops and Reliability Engineering
Specialised DevOps engineers hardened CI/CD pipelines, automated deployment gates, and established on-call coverage to support 24/7 tournament uptime.
Data and Analytics Capability
Data Scientists and Engineers built real-time analytics pipelines over billions of game events, enabling smarter matchmaking and player-retention decisions.
Scalable Staff Augmentation Model
A flexible squad structure that could scale up for major feature pushes and scale back post-launch, with 95% retention across all long-term placements.
Execution
Discovery
Mapped open roles, technical requirements, and sprint cadence with internal engineering leads
Data
Benchmarked existing delivery velocity and identified highest-impact augmentation areas
Build
Assembled and onboarded dedicated squads within 3 weeks, fully aligned to internal tooling
Deploy
Squads shipped first production features in sprint two; DevOps coverage extended to 24/7
Optimise
Continuous performance tracking and squad scaling as product needs evolved quarter-on-quarter
Integrating at Speed, Without Disrupting a Live Platform
The non-negotiable constraint was clear: the platform runs real-money tournaments around the clock. Any onboarding friction or deployment risk would cost real money and player trust. We designed an integration approach that prioritised zero disruption. Golabs engineers shadowed internal sprints for week one before taking on independent ownership of tickets in week two.
DevOps engineers audited the existing CI/CD pipeline and introduced automated deployment gates and rollback procedures before extending on-call coverage. Data engineers connected existing analytics infrastructure to a Kafka-backed streaming layer, unlocking real-time insights that were previously batch-only.
"Golabs had engineers contributing to production within two weeks. We barely noticed the handoff, which is exactly what we needed."
Technology Stack
- React+
- Node.js+
- Python+
- PostgreSQL+
- Redis+
- AWS+
- Terraform+
- Docker+
- Kafka+
- Datadog+
Results
From Talent Bottleneck to Scalable Engineering Advantage
Faster Hiring
0%
Golabs reduced time-to-hire for specialised roles from 3–6 months to 3–4 weeks, immediately unblocking critical roadmap initiatives.
Delivery Speed
0%
Integrated squads cut feature delivery times in half across both web and mobile platforms within the first quarter.
Staff Retention
0%
Long-term stability, the same engineers stayed across engagements, preserving product knowledge and sustained velocity.
By embedding specialised Golabs squads directly into the platform's engineering org, the client unlocked the velocity they needed to compete, without the overhead of full-time hiring cycles. Teams delivered across full-stack features, DevOps hardening, and real-time data pipelines, all while maintaining zero downtime across peak tournaments.
Tournament uptime
0%
Common Questions
Frequently Asked Questions
Answers to the most common questions about our engineering augmentation model.
Why Golabs
- Top 1% of LatAm engineering talent
- Time zone aligned (US Central)
- Full agile integration
- Fluent English speakers
- Flexible squad scaling
Onboarding typically takes 3–4 weeks from kickoff to first production contribution. We align on tooling, processes, and sprint cadence in week one, then begin delivering independently from week two.
Ready to Scale Your Engineering Team?
Build the Team Your Platform Needs Next
Golabs places nearshore engineers into complex product environments so teams can accelerate delivery without sacrificing reliability.
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