Senior Software Engineer
Human InterestSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Software Development, Data Platforms, Cloud ComputingIndustries
Requirements
Candidates should possess 5+ years of industry experience in building and maintaining high-quality software, along with strong Computer Science fundamentals. Experience building and deploying robust and secure web applications in a continuous deployment environment is required, as is a desire to be a great teammate and have fun at work without compromising ownership towards their work. A strong sense of craftsmanship and a healthy academic curiosity are also necessary.
Responsibilities
The Senior Software Engineer - Backend will solve challenging problems related to providing an interactive experience on data warehouses for data exploration and analysis, build backend distributed services, new algorithms, and modern APIs to support a cloud application, triage product or system issues and debug/track/resolve by analyzing sources of issues, design and implement new software features to support the growing user base, and collaborate with peers and stakeholders through design and code reviews. They will also contribute to monitoring and interpreting changes in employment legislation across North America and developing HR policies to ensure compliance, conduct audits, deliver training, and advise management on HR-related risk mitigation strategies.
Skills
Rust
Go
GraphQL
Node.js
Kubernetes
API development
SQL query optimization
Database internals
Cloud infrastructure (GCP, AWS, Azure)
Distributed systems
Software engineering
Debugging and troubleshooting
System design
Sigma Computing
Cloud-based data analytics platform for businesses
About Sigma Computing
Sigma Computing offers a cloud-based data analytics platform that enables businesses to analyze large volumes of data through a user-friendly, spreadsheet-like interface. Users can connect to their cloud data warehouse and access advanced features such as data collection, territory management, and revenue planning without needing coding skills. The platform is scalable, allowing for the analysis of billions of rows of data, and promotes self-service capabilities for faster insights. Recently, Sigma introduced AI features like data classification and natural language processing to enhance data analysis and support Enterprise AI initiatives.
San Francisco, CaliforniaHeadquarters
2014Year Founded
$550.9MTotal Funding
SERIES_DCompany Stage
Data & Analytics, AI & Machine LearningIndustries
501-1,000Employees