
Senior/Principal Backend Engineer
Voicebase Inc
Role Locations
- East Bay, CA, United States
- Remote
- San Francisco, CA, United States
- Silicon Valley, CA, United States
Employees
Address
Tech Stack
- AWS
- Kubernetes
- Terraform
- Chef
- MySQL
- Jenkins
- Rundeck
- Java
- Prometheus
- Consul
- Vault
- Google Cloud Platform
- Spring Boot
- Docker
- JMS
- Pulsar
- ElasticSearch
- Redis
- Python
Role Description
We are seeking a Senior Backend Software Engineer with a passion for building highly available distributed systems through elegant designs, clean code and team work; delivering consistently high quality solutions. You will be a member of our core team of developers and will also work in coordination with our Operations and QA team.
Responsibilities
- Writing clean, readable, functional code with disciplined error handling and graceful degradation
- Break down complex requirements and transform them into clean modular designs.
- Build scalable, fault-tolerant microservices that work with large data sets.
- Take ownership and accountability.
- Collaborating with a distributed team.
- Work in an Agile environment while releasing code frequently to production.
Qualifications
- A Java engineer with 6+ years of experience who loves building scalable platforms.
- Experience with the Java ecosystem and the Spring framework.
- Experience using AWS services: S3, EC2.
- Experience with microservices using containers and Kubernetes.
- Experience with NoSQL datastores a plus, MongoDB, ElasticSearch.
- Able to analyze algorithms and design efficient solutions, ability to solve problems with ingenuity.
- Strong communications skills.
- BS/MS in Computer Science, Engineering or related field
- Helpful – Experience with Voice Analytics, Automatic Speech Recognition, and Machine Learning and NLP.
About Voicebase Inc
VoiceBase is a second-generation Customer Experience (CX) Platform that delivers powerful voice and text analytics to the contact center and across today’s data-driven enterprise. We help enterprises make better decisions by using AI, NLP, and Machine-Learning, to predict customer behavior and unlock actionable intelligence. We operate at scale with enterprise grade security. Our customers include Fortune 500 companies, call center operators, and voice application developers.
Company Culture
collaboration
Address
Tech Stack
- AWS
- Kubernetes
- Terraform
- Chef
- MySQL
- Jenkins
- Rundeck
- Java
- Prometheus
- Consul
- Vault
- Google Cloud Platform
- Spring Boot
- Docker
- JMS
- Pulsar
- ElasticSearch
- Redis
- Python
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