Business alignment
Translate business goals, constraints, user needs, compliance requirements, and operating models into practical technical solutions.
Solution architect pre-employment test
Evaluate backend fundamentals, APIs, databases, system design, security, performance, testing, debugging, and practical problem-solving before technical interviews.
Skill signals
Measure the business, cloud, integration, security, data, cost, and communication capabilities required for effective solution architecture.
Translate business goals, constraints, user needs, compliance requirements, and operating models into practical technical solutions.
Design AWS, Azure, or GCP solutions using compute, storage, networking, managed services, resilience, and landing-zone principles.
Evaluate APIs, event-driven integration, messaging, identity, SaaS connectivity, legacy integration, and interoperability choices.
Assess availability, disaster recovery, capacity, performance, observability, fault tolerance, scaling, and operational resilience.
Review identity, encryption, network controls, compliance, privacy, governance, policy, auditability, and architecture risk.
Assess transactional, analytical, relational, NoSQL, streaming, integration, retention, lineage, and data-governance decisions.
Evaluate total cost of ownership, licensing, cloud consumption, FinOps, build-versus-buy decisions, and cost-performance trade-offs.
Identify production issues through logs, traces, exceptions, and structured root-cause analysis.
Assessment flow
Move candidates through a consistent, job-relevant process with automated scoring and decision-ready reports.
Send the assessment by email or share a secure test link with applicants.
Candidates solve backend coding, API, SQL, debugging, and architecture questions.
Score correctness, test cases, code quality, performance, and practical reasoning.
Compare candidates using skill breakdowns, question analysis, and hiring recommendations.
Score breakdown
Use cases
Validate role readiness before investing time in live technical interviews.
Assess API, database, platform, microservices, and software architecture skills.
Identify applicants with strong fundamentals and practical learning potential.
Backend hiring
Use structured tasks, automated evaluation, and clear reports to shortlist stronger engineering candidates faster.