In this role, you’ll partner with software engineers, product managers, and data scientists to build and support a variety of analytical big data products.
The best person will have a strong engineering background, not shy from the unknown, and will be able to articulate vague requirements into something real.
As a member of the team, you will:Develop and deploy highly available, fault-tolerant software that will help drive improvements towards the features, reliability, performance, and efficiency of the Genesys Cloud Analytics platform.Actively review code, mentor, and provide peer feedback.Collaborate with engineering teams to identify and resolve pain points as well as evangelize best practices.Partner with various teams to transform concepts into requirements and requirements into services and tools.Engineer efficient, adaptable and scalable architecture for all stages of data lifecycle (ingest, streaming, structured and unstructured storage, aggregation) in support of a variety of data applications.Build, deploy, maintain, and automate large global deployments in AWS.Troubleshoot production issues and come up with solutions as required.This may be the perfect job for you if:You have a strong engineering background with ability to design software systems from the ground up.You have expertise in Java, Python or similar programming languages.You have experience in web-scale data and large-scale distributed systems on a cloud infrastructure.You have a product mindset.
You are energized by building things that will be heavily used.You have engineered scalable software using big data technologies.You have worked on and understand messaging/queueing/stream processing systems.You have deep knowledge of Kafka, Flink, or Druid.You design not just with a mind for solving a problem, but also with maintainability, testability, monitorability, and automation as top concerns.Technologies we use and practices we hold dear:The right tool for the right job over we-always-did-it-this-way.We pick the language and frameworks best suited for specific problems.
This usually translates to Java for developing services and applications and Python for tooling.Packer and Ansible for immutable machine images.AWS for cloud infrastructure.Infrastructure (and everything, really) as code.Automation for everything.
CI/CD, testing, scaling, healing, etc.Apache Flink and Apache Kafka for stream processing.Amazon DynamoDB, Postgres, Amazon S3, and Redis for query and storage.Benefits Medical, Dental, and Vision InsuranceTelehealth coverageFlexible work schedules and work from home opportunitiesDevelopment and career growth opportunitiesOpen Time Off401(k) matching programAdoption AssistanceInfertility treatmentsSee more Genesys benefits information at https://mygenesysbenefits.com/ Covid-19:Safety for our employees and our communities is a key priority for Genesys.
We continue to experience rapid growth during the Covid-19 pandemic and are conducting remote hiring and onboarding processes.
All hiring and onboarding processes are being conducted remotely at this time.
We utilize Zoom video meetings and phone calls during the interview process.
We will be working remotely through at least September 30, 2021, in most locations, and we are re-evaluating the opening date of all the Genesys offices on an ongoing basis.About Genesys:Every year, Genesys® delivers more than 70 billion remarkable customer experiences for organizations in over 100 countries.
Through the power of the cloud and AI, our technology connects every customer moment across marketing, sales and service on any channel, while also improving employee experiences.
Genesys pioneered Experience as a Service so organizations of any size can provide true personalization at scale, interact with empathy, and foster customer trust and loyalty.
This is enabled by Genesys Cloud™, an all-in-one solution and the world's leading public cloud contact center platform, designed for rapid innovation, scalability and flexibility.
Visit www.genesys.com.Genesys is an equal opportunity employer committed to diversity 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.
How to Apply
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