Software Engineer - SnowCommand

Snowflake2 days ago

Location

PL-Warsaw-Lixa C

Type

Full Time

Salary

USD 150,000 – 210,000

Level

Mid

Role

Full Stack Engineer

Posted

Jul 23, 2026

Full TimeMid

The role

Summary

Join Snowflake's SnowCommand team as a Software Engineer to build a production gateway that enables safe, governed operations across enterprise systems. This role offers the opportunity to design and implement full-stack features using TypeScript and modern cloud technologies, collaborating with cross-functional teams to redefine how enterprises manage production metadata and workflows while driving impact through AI-native innovation.

What you'll do

Develop and refine critical production workflows: Design, implement, and optimize workflows that are essential to Snowflake's business operations, ensuring reliability, performance, and scalability across production environments.

Design metrics and run experiments: Create comprehensive instrumentation and measurement strategies to validate product insights, measure feature impact, and drive data-informed decision-making across the platform.

Implement full-stack features across the technology stack: Build end-to-end features spanning TypeScript services hosted in Snowflake's cloud infrastructure and Kubernetes-orchestrated deployments, ensuring seamless integration between frontend and backend systems.

Collaborate with cross-functional teams: Work closely with product managers, UX designers, and other engineering disciplines to align on requirements, technical approaches, and delivery timelines.

Coordinate delivery of complex features: Lead initiatives that require close coordination with multiple partner teams across the organization, managing dependencies and ensuring successful cross-team execution.

Participate in product vision and team planning: Contribute technical perspective to product roadmap development, sprint planning, and architectural decisions that shape the future direction of SnowCommand.

Debug and troubleshoot production systems: Identify performance bottlenecks and reliability issues, instrument relevant system components, and implement solutions in cloud-native environments with rigorous testing and monitoring.

What we look for

Technical

Modern application design and architectureStrong understanding of microservices architecture, API-first design, system scalability patterns, and performance optimization techniques for high-traffic systems.

TypeScript/Node.js ecosystemProficiency in TypeScript for production systems, familiarity with Node.js runtime, Express.js frameworks, and modern async programming patterns.

Frontend development with ReactExperience building responsive, maintainable user interfaces with React, including component design, state management, and modern frontend tooling.

Software engineering best practicesDemonstrated commitment to code quality through comprehensive unit testing, thorough code reviews, clear design documentation, and adherence to established engineering standards.

Cloud environment troubleshootingExcellent debugging skills in distributed cloud environments, including log analysis, performance profiling, container orchestration troubleshooting, and multi-service debugging.

API design and performanceDeep understanding of RESTful API design patterns, GraphQL principles, performance considerations, rate limiting, caching strategies, and scalability architecture.

Education

Bachelor's degree in Computer Science or equivalentB.S. in Computer Science, related discipline, or equivalent practical software engineering experience demonstrating strong foundational knowledge.

Master's degree (preferred)M.S. in Computer Science or related field preferred but not required; strong compensation through demonstrated hands-on engineering experience.

Experience

2+ years hands-on software engineeringDemonstrated experience developing production-grade software systems, translating requirements into scalable implementations, and collaborating within engineering teams.

2+ years maintaining production systemsProven track record operating and maintaining live systems in production environments, including debugging, monitoring, incident response, and iterative improvements based on real-world usage patterns.

Interest in LLM-based solutionsCuriosity and practical exposure to large language models and AI-native development approaches, with interest in applying these capabilities to improve internal and external products.

Cloud-native development experienceHands-on experience with cloud platforms, containerization technologies like Kubernetes, and distributed system design patterns.

Skills

Required skills

TypeScriptProduction-grade TypeScript development for building scalable, type-safe backend services and applications in modern JavaScript ecosystems.

Node.jsServer-side JavaScript runtime experience including async/await patterns, event-driven architecture, and middleware frameworks.

Express.jsWeb application framework proficiency for building RESTful APIs, middleware implementation, and routing logic.

ReactFrontend library expertise for component-based UI development, hooks, state management, and modern React patterns.

Cloud platformsExperience with cloud infrastructure providers, cloud-native services, and deployment patterns in production environments.

System debugging and troubleshootingAdvanced debugging techniques in distributed systems, log analysis, performance profiling, and incident response.

Unit testingWriting comprehensive test suites, mocking external dependencies, and maintaining high code coverage standards.

Code review practicesCollaborative code review participation, constructive feedback delivery, and continuous code quality improvement.

Nice to have

Kubernetes orchestrationExperience deploying, scaling, and managing containerized applications on Kubernetes clusters in production environments.

LLM and AI integrationHands-on experience integrating large language models into applications, prompt engineering, and AI-native development patterns.

Data warehousing conceptsFamiliarity with data warehousing principles, SQL optimization, and enterprise data analytics platforms.

Access control and security patternsUnderstanding of role-based access control (RBAC), authentication frameworks, authorization patterns, and security best practices in distributed systems.

GraphQLExperience building or consuming GraphQL APIs for efficient data fetching and real-time capabilities.

Performance monitoring and observabilityExpertise with monitoring tools, distributed tracing, metrics collection, and system observability platforms.

CI/CD and DevOps practicesFamiliarity with continuous integration/deployment pipelines, infrastructure-as-code, and automated deployment strategies.

Enterprise software architectureUnderstanding of enterprise system design, integration patterns, multi-tenant systems, and governance frameworks.

Compensation & benefits

Salary

USD 150,000 – 210,000 (annual)

Stock options

Available

Benefits

Comprehensive health insurance coverage

Medical, dental, and vision insurance plans with employer contributions to ensure employee wellness.

Retirement savings plan

401(k) retirement plan with employer matching contributions to support long-term financial planning.

Equity compensation

Stock options or RSU grants aligned with company performance, enabling employees to participate in Snowflake's success.

Professional development and training

Learning budgets, conference attendance support, and internal mentorship programs to advance technical and leadership skills.

Flexible work environment

Modern work arrangements supporting remote, hybrid, or office-based work based on role requirements and personal preferences.

Paid time off

Generous vacation, sick leave, and paid holidays supporting work-life balance and employee wellbeing.

Wellness programs

Fitness benefits, mental health support, and wellness initiatives promoting employee health and work-life integration.

Interview process

1
Initial screen with recruiter — Preliminary conversation with Snowflake's recruitment team to discuss background, career goals, and role fit over phone or video.
2
Technical phone interview — In-depth technical assessment covering system design, software engineering fundamentals, coding problem-solving, and architectural thinking relevant to full-stack development.
3
Live coding assessment — Hands-on coding challenge evaluating TypeScript/JavaScript proficiency, problem-solving approach, code quality, and real-time communication during implementation.
4
System design interview — Collaborative discussion of how to architect scalable systems at scale, including API design, database considerations, cloud deployment patterns, and trade-off analysis.
5
Behavioral and team fit interview — Conversation with team members exploring collaboration style, communication approach, learning mindset, and cultural alignment with Snowflake's innovation-focused values.
6
Leadership or cross-functional collaboration discussion — Optional discussion with product, design, or other cross-functional stakeholders to assess ability to work effectively across teams in complex projects.