Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Fremont, CA, United States
Posted
Yesterday
MicroservicesMongoDBMySQLGoKafkaLLMPostgreSQLPythonRabbitMQRedis
Job Description
RESPONSIBILITIES:
- Design, develop, and maintain scalable backend applications and microservices using Golang
- Build high-performance APIs and distributed systems that support critical sales workflows
- Develop solutions leveraging real-time event streaming and messaging technologies
- Collaborate with product managers, software engineers, and cross-functional teams to deliver new platform capabilities
- Design and optimize database schemas for performance and scalability
- Develop AI-enabled workflows and intelligent automation that improve sales advisor productivity
- Troubleshoot production issues and continuously improve system reliability, scalability, and performance
- Contribute to architecture decisions and engineering best practices
QUALIFICATIONS:
- 5+ years of professional software engineering experience
- Strong experience developing backend applications using Golang
- Experience building scalable microservices and distributed systems
- Hands-on experience with event streaming and messaging technologies such as Kafka or RabbitMQ
- Experience with relational databases (PostgreSQL, MySQL, or similar), including schema design and query optimization
- Experience working with NoSQL databases (MongoDB or similar)
- Experience with caching technologies such as Redis
- Experience with search technologies such as OpenSearch or Elasticsearch
- Experience working with modern data platforms such as ClickHouse
- Familiarity with AI Agentic Workflows, LLM integrations, or AI-powered application development is a plus
- Strong understanding of software design principles, scalability, and system performance
TECHNICAL SKILLS:
- Golang
- Python
- PostgreSQL
- ClickHouse
- OpenSearch
- Redis
- Kafka
- RabbitMQ
- AI Agentic Workflows
- Microservices Architecture
PREFERRED SKILLS:
- Experience developing enterprise CRM or sales platforms
- Experience working in high-volume, customer-facing production environments
- Experience with cloud-native architectures and containerized applications
- Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative engineering environment
EDUCATION:
- Bachelor's Degree in Computer Science or equivalent
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