When the MVP works and the platform needs to grow with it.
The growth inflection point
Series A and B arrive with a specific pressure that has nothing to do with product-market fit. The product works. The market is there. The pressure is engineering: the monolith that handled 1,000 users starts to buckle at 100,000. The database a single engineer managed becomes a shared bottleneck across five teams. The deployment process that felt agile for ten engineers creates friction for thirty. The constraints acceptable during the MVP phase are now the business problem.
The question at this stage is not whether to address the technical debt from the early build, but in what order, at what pace, and without stopping the product from shipping. Getting the sequencing wrong costs months. Getting it right means the engineering organisation grows into the next round with its velocity intact.
What the scaling engagement looks like
Platform assessment
Before a single architectural decision is changed, Gradion runs a structured assessment of what exists, what needs to scale, and what needs to be replaced. The output is not a slide deck. It is a sequenced engineering roadmap: changes ordered by impact, coupling risk, and team readiness. The assessment maps the existing system against the traffic requirements of the growth trajectory, identifies failure domains that will cause outages at scale, and flags architectural decisions that made sense at MVP stage but create deployment coupling now.
Architecture re-design
Not every MVP needs to be decomposed into microservices. The right decomposition is the one that matches the team structure and the failure domain requirements of the business. Where service decomposition reduces deployment coupling between genuinely independent product areas, Gradion designs the boundaries and the migration path. Where it adds operational complexity without meaningful isolation, the recommendation is to harden what exists first.
Specific architectural work at this stage typically includes database sharding and read replica strategies for read-heavy workloads, event-driven architecture for high-volume asynchronous operations, and API gateway design that enables independent team deployments. Each decision is made against the load profile and team topology of the specific product.
Team scaling
The founding team was optimised for speed with low coordination overhead. Thirty engineers need structure that ten never required: squad design, ownership boundaries, on-call rotation, incident response process, and engineering manager roles. Gradion provides technical leadership through this transition.
Two consulting packages apply directly here. The Rapid Scaling Audit (completed in three weeks) delivers a structured assessment of the engineering organisation against the demands of the growth phase: team topology, delivery velocity, technical ownership, and operational readiness. The Management & Team Effectiveness assessment covers the leadership layer, identifying where the managers in place have the skills the organisation needs at the next stage and where additional leadership capacity is required.
Engineering capacity
Scaling the engineering team on a six-month hiring timeline while the product needs to grow now is a sequencing problem. Gradion's network of engineers across Vietnam, Thailand, Egypt, Germany, and Singapore provides capacity that extends the product team during the growth phase without a lengthy hiring cycle. Engineers embed in the existing team structure, work within the same delivery process, and are assigned to specific product or platform areas with clear ownership.
Observability and reliability
The shift from "it works" to SLA-aware operations requires deliberate instrumentation and operational process. Gradion establishes DORA metrics as the delivery baseline: deployment frequency, lead time for changes, change failure rate, and time to restore. Alerting infrastructure is configured against the four golden signals, on-call rotation is designed for the team topology that exists, and runbooks are written for the failure modes most likely at the current load profile. The engineering organisation that emerges knows when something is wrong before the user does.
Proof in production
HomeToGo has been a Gradion engineering partner since the company's founding in 2014. The platform supports 15 million listings across 25 countries, integrates with more than 100 partner APIs, and reached a EUR 1 billion IPO in 2021. The team executing 50+ production deployments per day at 99.99% uptime is the sustained version of Series A/B scaling done over a decade.
roadsurfer's platform modernisation took 20 days to ship. Within a year, roadsurfer doubled its bookings and revenue and expanded its fleet by 40%. The CI/CD pipeline introduced during the project made that pace of growth operationally sustainable.
CTA
Describe the current platform state and the growth milestone. We will scope the scaling engineering.
EUR 1 billion IPO
HomeToGo, a founding partner since 2014, grew to 150 engineers across four countries with 50+ deployments/day at 99.99% uptime - culminating in a EUR 1 billion IPO in 2021.
Series A or B and your infrastructure is not ready for the growth you have committed to?
We scale engineering teams and infrastructure for startups between seed and Series B. Tell us where the bottleneck is.