Can't pull engineers off core systems
Ship new products, business lines, and strategic projects on time without pulling anyone off core systems or delaying your primary roadmap.
Leadership wants AI everywhere
Build infrastructure that handles AI workloads at scale, consolidate data scattered across systems, and deploy AI capabilities organization-wide.
Internal tools slow everyone down
Build unified internal platforms that replace duct-taped tooling, increase engineering velocity, and eliminate org-wide blockers.
Technical debt blocks delivery speed
Eliminate legacy constraints and architectural bottlenecks through incremental modernization, restoring engineering velocity without full rewrites.
Hyper-growth is straining your infrastructure
Scale infrastructure for exponential growth instead of breaking under it, maintaining stability and performance from 1-100M+ users.
Platform migrations and modernizations stalled out
Execute large-scale modernization incrementally while maintaining 99.99% uptime, clearing technical debt without disrupting operations.
Why choose Codingscape over traditional consultancies
Engineers who've built at Big Tech scale
Teams with Amazon, Google, Meta, and Microsoft experience. Engineers who understand distributed systems, high-availability architecture, and the operational complexity of massive scale.
Deliver like your internal teams
Our teams operate with the same ownership, rigor, and quality bar as your internal org. The difference: you don't manage them, and they're focused entirely on the problem.
Full teams that own problems end-to-end
We don't wait for hand-holding. Our teams include senior engineers, architects, and SREs who make technical decisions, own tradeoffs, and ship complete outcomes.
Built for complex, high-stakes environments
We operate in complex codebases, navigate cross-team dependencies, and ship in environments where mistakes cost millions.
Scale from one team to many
Start with a single team for platform work, scale to multiple teams across AI, data, infrastructure, and product. Flexible capacity without vendor lock-in.
1200+ senior engineers with deep expertise
Deep bench across distributed systems, ML infrastructure, platform engineering, and SRE. Scale from 5 to 50+ engineers without rebuilding relationships.
