AI Interview & Hiring Platform Modernization on AWS
BarRaiser is an AI-led hiring intelligence platform. Fastcurve modernized the platform's infrastructure on AWS with region segregation, ATS integrations, structured interview workflows, scoring pipelines and a long-running dedicated engineering pod owning reliability and continuous delivery.
- Industry
- HRTech
- Engagement Model
- Long-running dedicated engineering pod
- Services Engaged
- 8
- Capabilities
- 5
Why this work mattered
BarRaiser needed a production-grade ai capability engineered for scale, reliability and long-term evolution — not a prototype. The platform had to operate inside real hrtech workflows and meet enterprise expectations on architecture, integrations, security and operational maturity.
How we engaged
Fastcurve embedded a senior-led engineering team across product engineering, devops & cloud operations, aws cloud services and adjacent disciplines, owning architecture, build, integrations and ongoing operations — moving in production-grade increments rather than waterfall handoffs.
What changed in production
Beyond metrics — a platform now operating at enterprise grade with a stable engineering owner, predictable delivery and a clear modernization roadmap.
An engineering-led delivery model — not a hand-off.
Every Fastcurve engagement runs on a consistent delivery spine: discover, lay the platform, ship in increments, then operate and scale.
- Phase 01Discovery & Architecture
Domain deep-dive, current-state assessment, architecture blueprint, success metrics and delivery cadence locked in with stakeholders.
- Phase 02Foundation & Platform
Reference architecture, environments, CI/CD, observability, security baselines and core platform services stood up before feature work.
- Phase 03Iterative Build & Integrate
Modular delivery in short cycles — feature engineering, third-party integrations, AI workflows and migrations shipped in production-grade increments.
- Phase 04Operate, Optimize & Scale
SRE practices, performance tuning, cost optimization, continuous modernization and ongoing capability expansion as the product matures.
What this implementation delivered
- Modernized AWS footprint with regional segregation
- ATS-integrated interview and scoring workflows
- Higher reliability and lower run cost
How Fastcurve built it
- AI-led interview platform
- AWS modernization
- Dedicated long-running engineering pod
Engineered across the full stack of hrtech platform needs.
Fastcurve owned the architecture and engineering surface across every capability listed — not isolated modules.
- AI Interviews
- ATS Integrations
- Scoring
- Region Segregation
- Modernization
- Product Engineering
- DevOps & Cloud Operations
- AWS Cloud Services
- API & System Integrations
- AI/ML Services
- Dedicated Development Teams
- Legacy Modernization
- Mobile App Development
Why Fastcurve was chosen — and stayed embedded.
Senior architects own the platform — not a pool of fungible engineers.
Every increment ships with CI/CD, observability, security and rollback discipline.
Long-running pods that operate as a stable extension of the customer's engineering org.
Reliability, performance and cost engineered in from day one — not bolted on later.
Planning a similar platform, modernization or AI initiative?
Talk to Fastcurve about applying this implementation pattern to your roadmap.