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Senior Ruby Developer | Chicago, IL ONSITE
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Job at a Glance
- Category
- Software Developer
- Location
- Los Angeles, California, United States
- Salary
- Check with seller
- Job Type
- Full Time
- Company
- Jobs via Dice
- Status
- Open & Active
Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Advent Global Solutions, Inc., is seeking the following. Apply via Dice today!
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
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
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