✓Designed and operated multi-region services on AWS (EC2, ECS, RDS, S3, Lambda) handling 2M+ requests per day.
✓Built and maintained Node.js services in production, exposing public APIs with Express and Fastify.
✓Owned PostgreSQL schema design and query performance for a dataset of 200M rows.
✓Designed a distributed job scheduler with leader election and at-least-once delivery guarantees.
⚠Potential concern:No evidence of fintech experience
Verify in interview
Distributed systems design trade-offs
Kubernetes operational depth
Michael Lee
8 years · Toronto, Canada
STRONG HIRE
92% matchEvidence confidence: High
✓Led a migration from on-premise servers to AWS and reduced infrastructure cost by 30%.
✓Built and maintained Node.js services in production, exposing public APIs with Express and Fastify.
✓Tuned PostgreSQL indexes and table partitioning, cutting p95 query latency by 60%.
✓Designed a distributed job scheduler with leader election and at-least-once delivery guarantees.
⚠Potential concern:Event-driven ownership is mostly operational
Verify in interview
Event design and delivery guarantees
Leading platform teams
Priya Nair
7 years · Berlin, Germany
STRONG HIRE
90% matchEvidence confidence: High
✓Designed and operated multi-region services on AWS (EC2, ECS, RDS, S3, Lambda) handling 2M+ requests per day.
✓Developed a Node.js event-processing worker that handled 500,000 jobs per hour.
✓Owned PostgreSQL schema design and query performance for a dataset of 200M rows.
✓Built a sharded, horizontally scalable service that survived two region failures with no data loss.
⚠Potential concern:No evidence of infrastructure-as-code ownership
Verify in interview
Infrastructure-as-code ownership
PostgreSQL scaling
Daniel Okafor
11 years · London, United Kingdom
INTERVIEW
84% matchEvidence confidence: High
✓Designed and operated multi-region services on AWS (EC2, ECS, RDS, S3, Lambda) handling 2M+ requests per day.
✓Built and maintained Node.js services in production, exposing public APIs with Express and Fastify.
✓Owned PostgreSQL schema design and query performance for a dataset of 200M rows.
✓Built a sharded, horizontally scalable service that survived two region failures with no data loss.
⚠Potential concern:Kubernetes ownership is unclear
Verify in interview
Kubernetes cluster ownership
Leadership at scale
Elena Petrova
6 years · Warsaw, Poland
INTERVIEW
71% matchEvidence confidence: Medium
✓Led a migration from on-premise servers to AWS and reduced infrastructure cost by 30%.
✓Built and maintained Node.js services in production, exposing public APIs with Express and Fastify.
✓Owned PostgreSQL schema design and query performance for a dataset of 200M rows.
✓Managed a Kubernetes cluster and wrote the deployment pipeline for twelve microservices.
⚠Potential concern:No evidence of distributed-systems design
Verify in interview
Distributed systems fundamentals
Event-driven design
Tom Becker
9 years · Amsterdam, Netherlands
INTERVIEW
82% matchEvidence confidence: Medium
✓Led a migration from on-premise servers to AWS and reduced infrastructure cost by 30%.
✓Built and maintained Node.js services in production, exposing public APIs with Express and Fastify.
✓Tuned PostgreSQL indexes and table partitioning, cutting p95 query latency by 60%.
✓Designed a distributed job scheduler with leader election and at-least-once delivery guarantees.
⚠Potential concern:No evidence of Kubernetes experience
Verify in interview
Kubernetes operational experience
Incident response
Aisha Rahman
5 years · Remote (UTC+1)
INTERVIEW
73% matchEvidence confidence: Medium
✓Designed and operated multi-region services on AWS (EC2, ECS, RDS, S3, Lambda) handling 2M+ requests per day.
✓Developed a Node.js event-processing worker that handled 500,000 jobs per hour.
✓Owned PostgreSQL schema design and query performance for a dataset of 200M rows.
✓Built a sharded, horizontally scalable service that survived two region failures with no data loss.
⚠Potential concern:Distributed-systems experience is partial
Verify in interview
Distributed systems design
Testing event-driven flows
Compare your shortlist
The criteria each candidate has already been assessed against.
Sarah Chen
Michael Lee
Priya Nair
Match
96% match
92% match
90% match
Decision
STRONG HIRE
STRONG HIRE
STRONG HIRE
AWS
Strong evidence
Strong evidence
Strong evidence
Node.js
Strong evidence
Strong evidence
Strong evidence
PostgreSQL
Strong evidence
Strong evidence
Meets
Distributed systems
Strong evidence
Meets
Strong evidence
Example candidate detail
The same analysis your own candidates get, generated in advance for this sample.
Sarah Chen
9 years · Singapore
Analysis complete
STRONG HIRE96% matchEvidence confidence: High
Strongest overall match: nine years of backend engineering with deep AWS, Node.js and PostgreSQL ownership, including multi-region services handling millions of requests a day.
Hiring criteria
Must-have
AWSStrong evidence
1 supporting quote — see Evidence
Node.jsStrong evidence
1 supporting quote — see Evidence
PostgreSQLStrong evidence
1 supporting quote — see Evidence
Distributed systemsStrong evidence
1 supporting quote — see Evidence
Strongly preferred
KubernetesMeets
1 supporting quote — see Evidence
TypeScriptStrong evidence
1 supporting quote — see Evidence
Event-driven architectureMeets
1 supporting quote — see Evidence
Nice to have
Fintech domain experienceNo evidence
No evidence found in the resume.
Terraform / IaCPartial
1 supporting quote — see Evidence
Evidence
AWS
Designed and operated multi-region services on AWS (EC2, ECS, RDS, S3, Lambda) handling 2M+ requests per day.
Resume · Experience · 2021–2025Evidence confidence: High
Node.js
Built and maintained Node.js services in production, exposing public APIs with Express and Fastify.
Resume · Experience · 2020–2025Evidence confidence: High
PostgreSQL
Owned PostgreSQL schema design and query performance for a dataset of 200M rows.
Resume · Experience · 2019–2025Evidence confidence: High
Distributed systems
Designed a distributed job scheduler with leader election and at-least-once delivery guarantees.
Resume · Experience · 2022–2025Evidence confidence: High
Kubernetes
Ran production workloads on Kubernetes, including Helm charts, autoscaling and rolling upgrades.
Resume · Experience · 2021–2025Evidence confidence: High
TypeScript
Wrote the company's type-safe backend services in TypeScript with strict compiler settings.
Resume · Experience · 2020–2025Evidence confidence: High
Event-driven architecture
Built an event-sourced order pipeline using SQS and idempotent consumers.
Resume · Experience · 2021–2024Evidence confidence: High
Terraform / IaC
Managed all cloud infrastructure as code with Terraform and reviewed changes through pull requests.
