Senior Backend Engineer

ActiveJob ID: ENG-2026-184Posted: Sep 15, 2026Screening Batch: 94Location: Remote (US)

Total Applicants

127

Screened

Advanced

Avg Score

6.4

Top Candidates (Score ≥ 8.0)

Marcus Chen

8 years backend experience · Python, Go, PostgreSQL · Ex-Stripe, Notion

PythonGoPostgreSQLKubernetesAWS

Highlights: Led payment service migration to microservices · Built event-driven architecture handling 50M events/day · Strong system design interview performance

MATCH SCORE

9.2

Priya Desai

6 years backend experience · Java, Node.js, MongoDB · Ex-Amazon, Confluent

JavaNode.jsMongoDBKafkaRedis

Highlights: Designed real-time data pipeline · Optimized API latency by 65% · Published AWS architecture patterns

MATCH SCORE

8.8

Alex Morrison (Referral: REF-KM-2847)

3 years experience · PHP, MySQL · Freelance projects

PHPMySQLHTML/CSSjQuery

Highlights: Built e-commerce sites for local businesses · Self-taught developer · Strong communication skills per referrer

MATCH SCORE

8.5

Strong Candidates (Score 6.0-7.9)

Jordan Kim

5 years backend experience · Ruby, Python, PostgreSQL · Ex-GitHub

RubyPythonPostgreSQLDocker

Highlights: Maintained high-traffic Rails monolith · Experience with CI/CD pipelines · Active open source contributor

MATCH SCORE

7.6

Elena Volkov

4 years backend experience · Node.js, TypeScript, PostgreSQL · Ex-Shopify

Node.jsTypeScriptPostgreSQLGraphQL

Highlights: Built GraphQL API serving 2M users · Strong TypeScript expertise · Solid system design fundamentals

MATCH SCORE

7.3

Screening Summary

Methodology: Candidates were evaluated across technical skills, experience relevance, system design capability, and culture fit indicators based on resume analysis and initial screening responses.

Recommendation: Advance the three top-scoring candidates (Chen, Desai, Morrison) to technical interviews. Hold Kim and Volkov as backup candidates if first-round interviews don't yield strong outcomes.

Note: Morrison is a referral from Katie Martinez (Engineering Manager). While experience level is below typical threshold, strong referrer endorsement and rapid learning capability justify interview advancement.