Software Engineer
Role details
Job location
Tech stack
Job description
We are looking for an exceptional Senior Ruby/Rails Developer to join our growing Data Integration team. You will be responsible to: Lead technical design discussions and architectural decisions for system improvements Mentor junior and mid-level developers on best practices and system internals Investigate and resolve complex production issues, especially those involving external dependencies Architect solutions for API reliability, monitoring, and performance Collaborate with DevOps and Infrastructure teams on system reliability and performance Document critical system behaviors and integration patterns
Requirements
Self-directed problem solver who can navigate ambiguous requirements Excellent debugging skills with ability to trace issues across multiple system layers and external services Strong written and verbal communication skills for technical documentation and cross-team collaboration Experience with large-scale refactoring projects and technical debt reduction Ability to balance technical excellence with pragmatic business needs Experience with CI/CD pipelines, monitoring, and production incident response Nice to Have: Contributions to open-source Ruby projects Experience with Workato or similar iPaaS platforms Knowledge of enterprise integration patterns Understanding of compliance and security requirements in production systems Experience with webhook systems and event-driven architectures, Ruby & Ecosystem: Expert-level proficiency in Ruby with 5+ years of experience building and maintaining large-scale, production Ruby on Rails applications. Deep understanding of Ruby internals, metaprogramming, and performance optimization techniques. Database: Advanced PostgreSQL expertise including complex query optimization, execution plan analysis, indexing strategies, and database performance tuning Proficiency in database internals: understanding of MVCC, transaction isolation levels, locking mechanisms, and replication strategies Experience with database scaling patterns: sharding, partitioning, read replicas, and connection pooling Ability to diagnose and resolve complex database performance issues in production environments Systems: Deep understanding of distributed systems concepts and their practical implications Expertise in caching strategies at multiple layers (application, database, CDN) Experience with message queuing systems and understanding of distributed queue patterns (at-least-once, exactly-once delivery, dead letter queues) Proficiency in performance profiling, memory leak detection, and optimization of Ruby applications Understanding of concurrency models in Ruby and their appropriate use cases Integrations: Deep understanding of HTTP client libraries, connection pooling, and timeout strategies (connection, read, write, idle timeouts) Expertise in authentication and authorization patterns: OAuth 2.0 flows, JWT, API keys, SAML, webhook signatures Experience with retry mechanisms, circuit breakers, and graceful degradation for third-party dependencies Proficiency in handling rate limiting, backpressure, and API quota management Understanding of common integration challenges: data synchronization, eventual consistency, idempotency API Management: Understanding of API gateway patterns and routing strategies Familiarity with OpenAPI/Swagger specifications for API documentation Knowledge of API versioning strategies and backward compatibility Basic understanding of API monitoring and analytics Codebase: Proven track record of working with and enhancing mature, established codebases Ability to understand and refactor complex systems while maintaining stability Experience in incremental improvement strategies and maintaining backward compatibility Skills in navigating through layers of abstraction to understand system behavior Testing: Expert-level testing skills including RSpec, with emphasis on testing complex integrations, creating test harnesses for external dependencies, and maintaining high test coverage in established systems. Preferred Skills Infrastructure: Understanding of Docker and Kubernetes for containerized deployments Understanding of infrastructure as code (Terraform, Ansible) Understanding of observability tools (Prometheus, Grafana, ELK stack) Data: Redis expertise ClickHouse or similar columnar databases for analytics workloads Experience with event streaming platforms (Kafka) Background processing: Advanced experience with Sidekiq internals, custom middleware, performance tuning, and handling high-throughput job processing scenarios. Frontend: Basic understanding of JavaScript and modern UI frameworks (Angular, React, or Vue.js) sufficient for debugging full-stack issues and API integration points.