Genesys

Genesys

Software Architect

Ontario, Canada, CA

Sponsorship not specified$182k-$239kDetected 75 days ago
JavaSpringDistributed SystemsCode ReviewElasticsearchAWSCloud PlatformsKafkaData EngineeringAgentic AIRecruitingTest AutomationCollaboration

About the role

  • Search powers real time discovery across the Genesys Cloud platform, enabling customers to instantly access conversations, analytics, and operational insights at massive scale.
  • This role architects and advances the distributed systems that process millions of events per minute and index terabytes of data nightly, ensuring high availability, performance, and precision.
  • You will shape the evolution of our large scale search infrastructure, influencing architecture decisions that impact enterprise customers globally.

Responsibilities

  • Lead end to end design of scalable search solutions from requirements through production delivery
  • Drive improvements in platform reliability, performance, and resiliency across search services
  • Partner with product managers and cross functional teams to align technical direction with business outcomes
  • Guide code quality through active participation in design discussions and code reviews
  • Resolve complex production challenges to maintain system stability and customer trust
  • Demonstrate extensive experience building distributed systems and microservices architectures in Java
  • Design and optimize Elasticsearch or equivalent search platforms, including indexing and query performance tuning
  • Leverage AWS services including EC2, S3, and Lambda to build resilient cloud native systems
  • Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences.
  • As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces.

Requirements

  • Apply deep expertise with Spring frameworks in large scale production environments
  • If you have any questions, please include them in your email.

Nice to have

  • Influence platform level technical strategy within complex enterprise environments
  • This is an active opening at Genesys.
  • 182,200.00 - $239,100.00
  • Employee Referrals:
  • If a Genesys employee referred you, please use the link they sent you to apply.
  • With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise.
  • Reasonable Accommodations:
  • You can expect a response within 24-48 hours.

Skills

  • To learn more, visit www.genesys.com.

Compensation

  • This role has a market-competitive salary with an anticipated base compensation range listed below.
  • 182,200.00 - $239,100.00

Benefits

  • Comprehensive extended group health coverage
  • Generous paid time off, including vacation and personal leave
  • Retirement savings program with employer RRSP matching up to a prescribed maximum amount
  • Family-friendly benefits, including parental leave top-up and adoption assistance
  • Growth and development opportunities through access to learning resources and internal mobility programs
  • This role might also be eligible for a commission or performance-based bonus opportunities.

Equal opportunity

  • If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.
  • This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response.
  • Genesys is an equal opportunity employer committed to fairness in the workplace.
  • Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response.

This listing is sourced directly from Genesys's careers page and normalized into a canonical job model.