Senior Ruby Developer | Chicago, IL ONSITE

Chicago, IL, US • Posted 10 hours ago • Updated 10 hours ago
Contract Corp To Corp
Contract W2
No Travel Required
On-site
$45 - $50/hr
Fitment

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Job Details

Skills

  • Ruby on Rails
  • Apache Kafka
  • Ruby
  • GC
  • JRuby
  • RabbitMQ
  • PostgreSQL
  • Redis
  • Amazon Web Services

Summary

Senior Ruby Developer 

Experience Required: 12+ years
Assignment Duration: 12+ Months
Engagement Type: Contract
Work Location: Chicago, IL

Rate: $45-50/Hr C2C

Key Responsibilities & Required Technical Expertise:

Strong Expertise with Ruby:

  • Minimum 8 years of experience on Ruby
  • Deep knowledge of Ruby MRI internals (GIL, memory model, object
  • allocation)
  • Ruby MRI garbage collector (mark & sweep, generational GC)
  • Strong experience with Rails internals (ActiveRecord, Arel, middleware
  • stack)
  • Ability to optimize slow queries, N+1 issues, and memory leaks
  • Experience with multi-threaded / concurrent Ruby (Puma, Sidekiq tuning)
  • Ruby VM instruction set (YARV bytecode basics)
  • Concurrent Ruby gem
  • Thread pools vs Fibers vs Ractors
  • Async frameworks (Falcon / Async gem)
  • Experience integrating Ruby with Kafka (ruby-kafka / Karafka), exactly-once
  • semantics handling
  • Designing: event schemas, schema evolution (Avro / JSON schema)

Proven experience scaling Rails apps to:

  • 10K+ RPS
  • millions of daily transactions
  • Hands-on experience with:
  • Event-driven architecture (Kafka / RabbitMQ)
  • CQRS & Event Sourcing
  • Saga pattern (choreography & orchestration)

Strong understanding of:

  • Eventual consistency
  • Distributed transactions
  • Idempotent APIs

Deep understanding of:

  • Caching strategies (Redis, Memcached)
  • Background processing (Sidekiq, Resque)
  • Database sharding and read replicas

Strong experience with:

  • PostgreSQL (query tuning, indexing, vacuum, locking)
  • Redis (data structures, pub/sub, distributed locks)

Ability to debug:

  • deadlocks
  • slow queries
  • replication lag
  • Low-Latency / High-Throughput Optimization

Experience achieving

  • sub-50ms API latency under load
  • High throughput using connection pooling, query batching
  • Hands-on tuning:
  • Puma workers vs threads trade-offs
  • kernel tuning (ulimits, TCP tuning)

 

Deep Sidekiq Internals:

  • Queue prioritization strategies
  • Dead job recovery
  • idempotent job design
  • Redis contention debugging
  • Sidekiq middleware customization

Experience with:

  • AWS (EKS, RDS, SQS, Lambda)
  • Docker & Kubernetes
  • CI/CD pipelines (GitHub Actions / Jenkins)
  • Observability stack:
  • o Prometheus
  • o Grafana
  • o ELK / OpenSearch
  • OAuth2 / JWT authentication
  • PCI-DSS exposure (preferred)
  • Secure API design (rate limiting, mTLS, encryption)
  • Experience working at:
  • * high-frequency trading firms
  • * payment processors
  • * crypto exchanges
  • * JRuby / TruffleRuby
  • * GraphQL APIs
  • * gRPC services
  • Exposure to:
  • * fraud detection systems
  • * real-time risk engines
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: agsinc
  • Position Id: 8953924
  • Posted 10 hours ago
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