Software Engineer - Jobs Platform

Snowflake1 weeks ago

Location

US-CA-Menlo Park

Type

Full Time

Salary

USD 160,000 – 230,000

Level

Mid

Role

Backend Engineer

Posted

Mar 3, 2026

Full TimeMid

The role

Summary

Snowflake seeks a distributed systems engineer to join their Job Execution Platform team, managing millions of query executions for their cloud data platform. The role involves designing scalable infrastructure, solving fault-tolerance challenges, and ensuring high availability across multi-cloud environments including AWS, Azure, and Google Cloud.

What you'll do

Distributed Systems Design: Design and implement scalable distributed systems for cloud services handling millions of queries

Query Processing Engine: Develop and maintain the Job Execution Platform responsible for processing queries at massive scale

Fault Tolerance Implementation: Analyze and solve high availability issues, performance challenges, and scale bottlenecks

Multi-Cloud Infrastructure: Build solutions that work seamlessly across AWS, Microsoft Azure, and Google Cloud platforms

Performance Optimization: Understand trade-offs between consistency, durability, and costs to optimize system performance

Operational Excellence: Ensure operational readiness and meet customer commitments for availability and performance SLAs

Large-Scale Problem Solving: Apply software engineering and analytical skills to solve real business needs at enterprise scale

What we look for

Technical

Distributed Systems Experience2-5 years designing, building, and supporting large-scale infrastructure in production environments

Container OrchestrationHands-on experience with Kubernetes, Mesos, OpenShift, or similar container platforms

Scheduling and AutoscalingExperience in workload scheduling, cluster management, and autoscaling systems

Operating Systems ExpertiseDeep understanding of multi-threading, memory management, networking, storage, and performance optimization

Fault-Tolerant ArchitectureExperience building large-scale distributed fault-tolerant infrastructure systems

Education

Computer Science DegreeBachelor's degree in Computer Science, Software Engineering, or equivalent technical field preferred

Systems Engineering BackgroundStrong foundation in distributed systems, algorithms, and data structures

Experience

Production Infrastructure2-5 years of hands-on experience with large-scale production systems

Cloud PlatformsExperience with at least one major cloud provider (AWS, Azure, or Google Cloud)

Container TechnologiesPractical experience with containerization and orchestration platforms

Skills

Required skills

Distributed Systems ArchitectureDeep understanding of designing scalable distributed systems

Container OrchestrationProficiency with Kubernetes, Mesos, or OpenShift platforms

Multi-threading and ConcurrencyAdvanced knowledge of concurrent programming and thread management

Performance OptimizationAbility to analyze and optimize system performance at scale

Cloud InfrastructureExperience with AWS, Azure, or Google Cloud Platform

Nice to have

Data WarehousingUnderstanding of data warehousing concepts and query processing

Apache KafkaExperience with distributed event streaming platforms

Infrastructure as CodeFamiliarity with Terraform, CloudFormation, or similar tools

Monitoring and ObservabilityExperience with Prometheus, Grafana, or similar monitoring tools

Microservices ArchitectureUnderstanding of microservices design patterns and implementation

Compensation & benefits

Salary

USD 160,000 – 230,000 (annual)

Stock options

Available

Benefits

Health Insurance

Comprehensive medical, dental, and vision coverage

Equity Participation

Stock options and equity participation in a rapidly growing public company

Professional Development

Learning and development opportunities with industry-leading cloud technology

Flexible Work Arrangement

Hybrid work model combining remote flexibility with collaborative office time

Innovation Culture

Opportunity to work on cutting-edge data cloud technology with significant industry impact

Career Growth

Clear advancement paths within a fast-growing technology company

Interview process

1
Initial Screening — Phone or video interview focusing on background, experience, and cultural fit assessment
2
Technical Phone Screen — 45-60 minute technical interview covering distributed systems concepts and coding problem-solving
3
System Design Interview — Design a large-scale distributed system, focusing on scalability, fault tolerance, and trade-offs
4
Coding Interview — Live coding session emphasizing algorithms, data structures, and software engineering best practices
5
Team Match Interview — Meet with the Job Execution Platform team to discuss technical challenges and team dynamics
6
Final Interview Round — Leadership interview focusing on career goals, impact potential, and alignment with Snowflake values