Software Engineer - Postgres
Backend Engineer · Mid · Full Time
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Role
What you'll do.
Join Snowflake's Postgres team to build managed Postgres experiences inside the data cloud platform. This role focuses on control plane development, working on distributed systems at scale with research-grade optimizations across provisioning, security, and operational infrastructure. You'll design backend services that power lifecycle management and configuration while tackling complex challenges in database infrastructure, security, and operational excellence at one of the world's leading cloud data platforms.
Responsibilities
- Design and Build Backend Services: Architect and develop scalable backend services that power provisioning, lifecycle management, and configuration of Snowflake Postgres instances, ensuring high availability and performance at scale.
- Develop Access Control and User Management Features: Implement features in access models and authorization systems, including secure administration flows, role-based access control (RBAC), and customer-facing management capabilities for Postgres instances.
- Improve System Reliability and Observability: Enhance reliability, observability, and operability of asynchronous workflows and background systems through monitoring, logging, tracing, and performance optimization to maintain service health.
- Cross-Functional Collaboration: Partner with product, security, and adjacent engineering teams to translate complex infrastructure requirements into simple, intuitive customer experiences and features.
- Production Issue Investigation and Resolution: Investigate production incidents, participate in on-call rotations, debug complex distributed systems issues, and implement resilience improvements that reduce operational burden and mean time to resolution.
- Technical Leadership and Mentoring: Contribute to technical design decisions, conduct thorough code reviews, mentor junior engineers, and help establish engineering best practices across the team.
Qualifications
What we look for.
Technical
Production Backend Systems Experience
2+ years of hands-on experience designing, building, and operating production backend systems, infrastructure services, or distributed systems in cloud environments.
Programming Language Proficiency
Strong programming skills in one or more languages including Java, Go, C++, or Python, with the ability to write clean, maintainable, and performant code.
Computer Science Fundamentals
Deep understanding of core CS concepts including concurrency, multithreading, networking protocols, API design, data structures, algorithms, and system design patterns.
Production Operations and Debugging
Demonstrated experience designing and operating reliable services in production, including proficiency in debugging tools, monitoring solutions, metrics collection, and incident response procedures.
Education
Computer Science or Engineering Degree
Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, or related technical field.
Equivalent Practical Experience
Equivalent professional experience in backend engineering, distributed systems, or infrastructure engineering may substitute for formal degree requirements.
Experience
Backend or Infrastructure Engineering
2+ years of professional experience in backend software engineering, infrastructure development, or distributed systems environments with focus on production reliability.
Cross-Functional Collaboration
Experience working effectively across technical boundaries with product managers, security teams, and other engineering disciplines to deliver integrated solutions.
Skills
Required
Backend Service Architecture
Ability to design and implement scalable backend services, microservices, or service-oriented architectures with consideration for distributed systems challenges.
Java, Go, C++, or Python
Proficiency in at least one statically or dynamically typed programming language commonly used in backend and systems development.
Distributed Systems Concepts
Strong understanding of distributed systems principles including eventual consistency, consensus algorithms, fault tolerance, and CAP theorem implications.
Database and System Observability
Hands-on experience with monitoring, logging, metrics, and tracing tools to diagnose system behavior and troubleshoot production issues.
Production Debugging and Incident Response
Ability to investigate complex production issues, use profiling and debugging tools effectively, and implement systematic improvements based on incident learnings.
Preferred
PostgreSQL Expertise
Nice to haveExperience with PostgreSQL internals, query optimization, replication, backup/recovery mechanisms, or operational management of Postgres clusters.
Identity and Authorization Systems
Nice to haveBackground in designing or operating identity management, authorization frameworks, RBAC systems, or other security-sensitive infrastructure components.
Cloud Platform Infrastructure
Nice to haveExperience provisioning, managing, and operating services on major cloud providers including AWS, Azure, or Google Cloud Platform, including Kubernetes or similar orchestration.
Workflow Orchestration and Control Planes
Nice to haveExperience with workflow orchestration platforms, control plane systems, event-driven architectures, or highly asynchronous service patterns.
Managed Database Platforms
Nice to haveExperience building or operating managed database services, cloud-native databases, or Database-as-a-Service (DBaaS) platforms.
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 160,000 – 230,000
Equity·Stock options
Benefits
Comprehensive Health Insurance
Medical, dental, and vision coverage with plans available for employees and families, with Snowflake contributing significantly to premiums.
401(k) Retirement Plan
Employer-sponsored 401(k) retirement savings plan with company matching contributions to support long-term financial planning.
Equity and Stock Options
Competitive equity grants and stock options packages that allow employees to participate in Snowflake's long-term value creation.
Paid Time Off
Generous paid time off policy including vacation days, sick leave, and company holidays to support work-life balance and employee wellness.
Professional Development
Access to learning resources, technical conferences, training programs, and professional development opportunities to advance engineering careers.
Collaborative Work Environment
Access to flexible work arrangements, collaborative office spaces, and technology infrastructure supporting distributed and hybrid teams.
Employee Assistance Programs
Wellness programs, mental health support, fitness benefits, and employee assistance programs promoting holistic well-being.
Process
Interview steps.
- 01
Initial Screening
Phone or video screening call with a technical recruiter to discuss background, experience, and alignment with the role requirements and team dynamics.
- 02
Technical Phone Interview
First technical assessment with a senior engineer covering distributed systems concepts, database fundamentals, system design thinking, and practical problem-solving approach.
- 03
System Design Interview
Deep-dive technical conversation focused on designing scalable backend systems, discussing tradeoffs in architecture decisions, and evaluating production considerations like reliability and observability.
- 04
Technical Coding Interview
Live coding assessment in your preferred language (Java, Go, C++, or Python) evaluating algorithmic thinking, code quality, debugging ability, and communication of your thought process.
- 05
Behavioral and Cross-Functional Interview
Conversation with product or cross-functional team members assessing collaboration skills, communication style, ability to work across technical boundaries, and alignment with Snowflake culture.
- 06
Engineering Leadership Interview
Discussion with engineering leadership about technical vision, mentoring philosophy, approach to technical challenges, and long-term career growth aspirations within the team.
Full posting
Original listing.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
The Snowflake Postgres team is building a managed Postgres experience inside Snowflake. This role is focused on the control plane, where you have the opportunity to work on both on distributed systems at scale and also to work on research grade optimizations at various layers of the software stack including but not limited to provisioning, managing, securing, and operating Postgres in Snowflake. You will work on core backend systems that sit at the intersection of distributed systems, database infrastructure, security, and operational excellence.
In this role, you will:
Design and build backend services that power provisioning, lifecycle management, and configuration of Snowflake Postgres instances.
Develop features in the access and user model, including authorization, secure administration flows, and customer-facing management capabilities.
Improve the reliability, observability, and operability of asynchronous workflows and background systems that keep the service healthy.
Partner with product, security, and adjacent engineering teams to deliver simple customer experiences on top of complex infrastructure.
Investigate production issues, participate in on-call, and drive fixes that improve resilience and reduce operational burden.
Contribute to technical design, code review, and mentoring while helping raise the engineering bar across the team.
Our ideal candidate will have:
2+ years of experience building production software in backend, infrastructure, or distributed systems environments.
Strong programming skills in one or more of Java, Go, C++, or Python.
Strong computer science fundamentals, including concurrency, networking, APIs, and data structures.
Experience designing and operating reliable services in production, including debugging, monitoring, and incident response.
Experience working across technical boundaries with product, security, and other engineering teams.
BS/MS in Computer Science, Engineering, or a related field, or equivalent practical experience.
Nice to have:
Experience with PostgreSQL, database internals, or managed database platforms.
Experience with identity, authorization, RBAC, or other security-sensitive systems.
Experience with cloud infrastructure on AWS, Azure, or GCP.
Experience with workflow orchestration, control plane systems, or highly asynchronous service architectures.
Why join this team?
Work on a strategic product area that expands Snowflake into transactional and operational database workloads
Build systems that directly shape how customers create, manage, and secure Postgres inside Snowflake
Tackle a mix of product engineering, infrastructure, reliability, and security problems.
Join a collaborative team with meaningful ownership, strong technical challenges, and room to grow
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
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