BlueRecruit, a leading hiring platform for skilled trades, set out to transform how high school students and job seekers discover career opportunities. Traditional assessments and static tools provided information but lacked the interactivity, personalization, and engagement needed for meaningful exploration. At the same time, scaling challenges on Heroku risked slowing down adoption of BlueRecruit’s growing platform and highlighted the need for robust AWS migration services.
The problem: static exploration and scaling limitations
BlueRecruit, a fast-growing recruitment platform for skilled workers, was facing challenges in scaling its operations due to increasing data complexity and infrastructure limitations. Their existing system struggled to keep up with rising user demands, slowing down performance and creating inefficiencies in managing candidate and employer data.
Additionally, they needed a more secure, reliable, and cost-effective way to modernize their infrastructure while ensuring minimal disruption to ongoing operations. The lack of scalability and rising operational costs were impacting both business growth and user experience, making it critical for BlueRecruit to consider AWS migration to address these challenges effectively.
The solution: an AI career assistant and AWS migration
To address these challenges, GoML and BlueRecruit co-developed a secure, enterprise-ready AI career assistant and executed a full Heroku-to-AWS migration.
Personalized AI career assistant
A conversational AI copilot was built to guide students and job seekers through skilled trade exploration.
- Natural, friendly guidance: Trade recommendations based on user traits, work preferences, and goals
- Contextual insights: Salary ranges, certifications, and training durations delivered in real-time
- Guardrails for safety: Content moderation and abuse detection tailored to high school users
- Seamless platform integration: Secure login, conversation history, and web-based UI embedded within Blue Career
- Built on Bedrock: Built AI workload on Bedrock with GoML's Unified Migration stack
AWS migration for scale
- AWS architecture: EC2, RDS/DocumentDB, S3, and Lambda configured for scalability and resilience
- Zero-loss data migration: MongoDB data transitioned securely with no disruptions
- Third-party integrations: Twilio (SMS), Mailgun (email), Auth0 (authentication) reconfigured seamlessly
- Operational excellence: Monitoring, logging, and UAT testing ensured performance at scale
The impact: smarter exploration, stronger platform
The impact: scalable growth, seamless operations
BlueRecruit’s modernization with AWS migration services didn’t just solve infrastructure issues, it unlocked a future-ready foundation for scale.
- 65% reduction in infrastructure costs through optimized cloud usage
- 50% faster platform performance, improving candidate and employer experience
- 40% increase in operational efficiency, enabling smarter workforce management
- Seamless scalability to handle surging user demand without disruption
Lessons for SaaS workforce platforms
Common pitfalls to avoid
- Depending solely on static assessments for user guidance
- Migrating infrastructure without a growth-ready cloud strategy
- Overlooking content safety for younger demographics
Advice for platform leaders
- Start with an AI copilot where personalization creates measurable impact
- Treat AWS migration services as a growth enabler, not just a cost exercise
- Make user trust and safety core to platform design
Ready to reimagine career exploration or scale your platform infrastructure?
Let GoML help you build a scalable foundation on Amazon Bedrock, just like we did for BlueRecruit.
Reach out today to explore your own Gen AI transformation.
