Genesys Logo

Genesys

Senior Software Developer, Analytics

Posted Yesterday
Be an Early Applicant
Remote
2 Locations
Senior level
Remote
2 Locations
Senior level
Design, build, and operate large-scale distributed batch and streaming data systems on AWS. Develop production-grade services, data pipelines (Spark/Hadoop/Airflow), microservices, IaC/CI-CD, and tooling; mentor peers and troubleshoot complex production issues to ensure reliability, scalability, and observability of Cloud Analytics platform.
The summary above was generated by AI

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.

We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.

Role Overview:
Every insight generated by the Genesys Cloud Analytics platform influences how organizations engage with millions of customers each day. As a Senior Software Developer on the Cloud Analytics team, you will architect and evolve the large-scale distributed data systems that power real-time decision making, operational intelligence, and AI-driven customer experience innovation. You will transform tens of millions of daily events into reliable, high-performance analytical services that support product teams, enterprise customers, and internal stakeholders. At Genesys, we build technology with empathy and ambition, enabling organizations to deliver meaningful experiences at global scale, and this role directly advances that mission through modern cloud-native engineering.

Key Responsibilities:

  • Design and implement highly available, fault tolerant services that enhance the reliability, scalability, and efficiency of the Genesys Cloud Analytics platform

  • Build and maintain large-scale batch and streaming data pipelines using AWS EMR and Apache Airflow

  • Engineer scalable architecture across the full data lifecycle including ingestion, streaming, structured and unstructured storage, search, and aggregation

  • Develop reusable abstractions and self-service tooling that empower engineering teams to rapidly create streaming and batch pipelines

  • Deploy, automate, and maintain global AWS infrastructure using infrastructure-as-code and CI/CD best practices

  • Translate ambiguous product concepts into well-defined technical requirements and production-grade services

  • Review code, mentor peers, and raise the bar for engineering quality and system design

  • Troubleshoot complex distributed system issues in production and implement durable, performance-oriented solutions

  • Advocate for automation, observability, testability, and maintainability as foundational engineering principles

Required Qualifications:

  • Demonstrate strong experience designing and building distributed systems from the ground up

  • Develop production-grade software using Java, Python, or similar programming languages

  • Architect and operate web-scale data systems within AWS or comparable cloud environments

  • Apply deep knowledge of Apache Spark, Hadoop, and Airflow to build and manage reliable data pipelines

  • Design microservices and event-driven systems with scalability and resilience as primary objectives

  • Implement infrastructure-as-code and automation practices to support repeatable, global SaaS deployments

  • Communicate technical concepts clearly within cross-functional engineering teams

Preferred Qualifications:

  • Build and optimize analytical storage and query systems using technologies such as Hive, Presto, Druid, DynamoDB, Elasticsearch, or Amazon S3

  • Implement immutable infrastructure using tools such as Packer and Ansible

  • Contribute to platform-level initiatives that support enterprise-scale SaaS environments

  • Enable advanced analytics or AI-driven use cases within cloud-native architectures

Benefits That Support You:
We invest in your well-being, because when you’re at your best, so are the experiences you create.

  • 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

Exact details of these programs, including the conditions for eligibility, the amount of the benefit (including caps on benefits and customary pricing details), the length of the paid time off, etc. will be provided upon hire and is subject to Genesys policies.

This is an active opening at Genesys. We use Artificial Intelligence to support the hiring process, but every application is reviewed by our Talent Acquisition team, looking beyond keywords to focus on your experience and potential.

Compensation:

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.  

132,400.00 - $171,400.00

Employee Referrals:

If a Genesys employee referred you, please use the link they sent you to apply.

About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. 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. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.

Reasonable Accommodations:

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 [email protected].

You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.

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. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.

Top Skills

Java,Python,Aws,Amazon S3,Aws Emr,Apache Airflow,Apache Spark,Hadoop,Hive,Presto,Druid,Dynamodb,Elasticsearch,Packer,Ansible,Ci/Cd,Infrastructure-As-Code,Microservices,Event-Driven Systems

Genesys Toronto, Ontario, CAN Office

5200 Yonge St, Suite 200, Toronto, ON , Canada, M2N 5P6

Similar Jobs

11 Days Ago
Easy Apply
In-Office or Remote
8 Locations
Easy Apply
Senior level
Senior level
AdTech • Marketing Tech
Design and build scalable distributed ingestion services; maintain event pipelines and collaborate with multiple teams. Ensure system reliability and improve code practices.
Top Skills: AerospikeGoKafkaKubernetesTidbVitess
14 Days Ago
Easy Apply
In-Office or Remote
8 Locations
Easy Apply
Senior level
Senior level
AdTech • Marketing Tech
As a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.
Top Skills: AirflowKafkaPinotPrestoSnowflakeSparkTidbTrino
3 Hours Ago
Remote or Hybrid
8 Locations
Senior level
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Lead product-focused risk analytics to improve payments risk outcomes and seller experience. Design and analyze A/B tests, build models and monitoring, partner with Product and Engineering, and translate insights into product and risk improvements.
Top Skills: Python,Pandas,Numpy,Sql,Snowflake,Bigquery,Mysql,Looker,Mode,Git,Llms,Prompt Engineering

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account