Software Engineer - Backend

Snowflake1 months ago

Location

US-CA-Menlo Park

Type

Full Time

Salary

USD 157,000 – 230,000

Level

Mid

Role

Backend Engineer

Posted

Feb 6, 2026

Full TimeMid

The role

Summary

Software Engineer - Backend role at Snowflake focusing on building scalable backend services for the Data Cloud platform. The team works on data sharing solutions for enterprise customers, requiring 2-5 years of experience with distributed systems and proficiency in Java, Python, C++, or SQL.

What you'll do

Feature Development: Design and build scalable features and distributed platforms for the Data Cloud

Infrastructure Engineering: Drive impactful initiatives for globally distributed infrastructure systems

Cross-team Collaboration: Work with product managers, architects, and business groups on end-to-end solutions

Process Improvement: Contribute to improving engineering processes, tooling, and development standards

System Architecture: Design and implement backend services that enable secure data sharing

Code Quality: Write maintainable, scalable code and participate in code reviews

Production Support: Monitor, troubleshoot, and optimize large-scale systems in production

Technical Documentation: Create and maintain technical documentation for systems and processes

What we look for

Technical

Programming LanguagesFluency in Java, Python, C++, or SQL

Computer Science FundamentalsStrong knowledge of algorithms and data structures

Distributed SystemsExperience designing and building large-scale systems in production

System DesignAbility to architect end-to-end customer-facing products

Education

Degree RequirementBS/MS/PhD in Computer Science or related majors, or equivalent experience

Experience

Industry Experience2-5 years of experience designing, building, and supporting large-scale production systems

Production SystemsHands-on experience with scalable backend systems and infrastructure

Product DevelopmentExperience building customer-facing products from conception to deployment

Skills

Required skills

Java ProgrammingStrong proficiency in Java for enterprise-scale backend development

Python DevelopmentExperience with Python for scripting and backend services

SQL ExpertiseAdvanced SQL skills for data platform and warehouse operations

Distributed SystemsDeep understanding of building scalable distributed architectures

Algorithm DesignStrong computer science fundamentals in algorithms and data structures

System ArchitectureAbility to design end-to-end solutions for customer-facing products

Nice to have

C++ ProgrammingExperience with C++ for system-level performance optimization

Database InternalsUnderstanding of database engine internals and query optimization

Data GovernanceKnowledge of data governance frameworks and compliance requirements

Payment SystemsExperience with financial transaction processing and payment systems

Cloud ArchitectureExperience with cloud-native application development and deployment

MicroservicesExperience designing and implementing microservices architectures

Compensation & benefits

Salary

USD 157,000 – 230,000 (annual)

Stock options

Available

Benefits

Competitive Salary

Market-competitive base salary range of $157K-$230K

Equity Compensation

Stock options and equity participation in company growth

Hybrid Work Model

Flexible hybrid work arrangement combining remote and office work

Professional Development

Career growth opportunities in cutting-edge cloud data technology

Innovation Culture

Work environment focused on impact, innovation, and collaboration

Comprehensive Benefits Package

Full benefits package including health, dental, and retirement plans

Interview process

1
Application Review — Initial screening of resume and application materials
2
Recruiter Phone Screen — 30-minute conversation about background, interests, and role fit
3
Technical Phone Interview — 60-minute coding interview focusing on algorithms and data structures
4
System Design Interview — 45-minute discussion on designing scalable distributed systems
5
Technical Deep Dive — 60-minute interview covering backend architecture and database concepts
6
Behavioral Interview — 45-minute discussion on past experiences and cultural fit
7
Final Interview Round — Panel interview with team members and hiring manager
8
Reference Check — Verification of professional references and background