Senior Software Engineer - ManagedDB
Snowflake is hiring a Senior Software Engineer - ManagedDB for a remote role open to applicants in United States. It pays $200k-$288k a year and Level rates it ; you can apply on Snowflake.
Level's read on this job
- Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
- The listed pay starts 20% above the typical software engineer posting on Level.
- The posting lists this role as remote.
- Tools and skills the posting cites include AWS, Azure and Google Cloud.
- Level lists 356 other open roles at Snowflake.
AI in this role
Build and scale global-scale multi-cloud database infrastructure and core platform services at Snowflake.
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.
Senior Software Engineer - ManagedDB TeamLocation: Menlo Park, CA
Work Authorization: US Citizenship or Lawful Permanent Resident (Green Card holder) required due to compliance requirements.
Build the Future of Data. Join the Snowflake Team.
Snowflake customers run more than 3.9 billion queries and over 515 million data workloads each day.
The Snowflake Engineering team is a global team of high-performing engineers focused on building best-in-class tooling, automation, and a scalable infrastructure platform to power the Snowflake service. Our focus areas include Snowflake's global-scale multi-cloud infrastructure, core platform services, edge traffic delivery, and reliability engineering. We automate the deployment of the Snowflake production service across dozens of regions and all major cloud providers.
We are looking for a Senior Software Engineer to join our ManagedDB Team in Menlo Park, CA.
ManagedDB team is responsible in large number of databases running in every Snowflake region across several public cloud providers. Our systems sit at the critical path of multiple external and internal systems including Snowflake UI, Service Discovery, Deployment Automation, CoCo and many others. Given the massive and constantly accelerating volumes of data flowing through Snowflake, this role presents significant opportunities to architect, scale, and innovate at high-throuput, low-latency critical database systems.
As a Senior Software Engineer on the ManagedDB Team, You Will:
Architect & Scale: Lead the technical vision, design, and implementation of database products to suit internal needs.
Drive Multi-Cloud Strategy: Create elegant, cloud-agnostic abstractions and software infrastructure across AWS, Azure, and GCP to ensure seamless management and rapid feature delivery.
Technical Leadership: Drive complex, cross-functional engineering initiatives from inception to production, mentoring junior and mid-level engineers, and establishing software engineering best practices.
Ensure High Availability & Security: Continuously harden our database infrastructure meet SLAs around uptime, security, and durability.
Production Excellence: Participate in an on-call rotation, lead incident investigations for complex production issues, and direct blameless post-mortems to drive permanent systemic improvements.
Collaborate Across Teams: Partner closely with Security, Infrastructure, and Site Reliability Engineering (SRE) teams to support new product capabilities at scale.
Our Ideal Candidate Will Have:
Work Authorization: Must be a US Citizen or Permanent Resident (Green Card holder).
Education: BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical field (or equivalent professional experience).
Experience: 7–12 years of professional experience designing, building, operating, and scaling large-scale backend distributed systems in high-growth production environments.
Core Systems Knowledge: Understanding of databases (PostgreSQL, Redis) and experience running large-scale distributed systems.
Advanced Programming Proficiency: Strong hands-on coding experience in systems and application languages such as Go, Java, C++, or Rust.
Public Cloud Mastery: Extensive experience architecting infrastructure on major public clouds (AWS, GCP, or Azure), including cloud networking constructs (e.g., VPC peering, PrivateLink, Transit Gateways).
Infrastructure as Code & Automation: Proficient in automating global fleet deployment and configuration using tools like Terraform, Kubernetes, Ansible, or CloudFormation.
Leadership & Influence: Proven track record of technical ownership, breaking down ambiguous problems into concrete roadmaps, and delivering high-impact projects across multiple engineering teams.
Why Join Us?
We value a strong growth mindset and a collaborative, blameless engineering culture. If you thrive on solving complex platform engineering challenges at massive scale, we would love to hear from you.
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
How we rate this
Senior Software Engineer - ManagedDB at Snowflake rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $200k
- Typical software engineer job
- $167k
This posting starts 20% above the typical software engineer job. See software engineer jobs
Questions you could be asked
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where database architecture was part of your work. What did you do?
- What's a project where you used AWS hands-on?
- Walk me through how you've used Azure in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Software Engineering, Distributed Systems, Database Architecture, AWS, and Azure. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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