Senior Software Engineer, Snowpark Container Service
Snowflake is hiring a Senior Software Engineer, Snowpark Container Service 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
- On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
- Pay on this posting starts 19% higher than the typical software engineer posting on Level.
- This is listed as a remote role.
- The posting mentions Kubernetes, Docker and cloud computing among its tools and skills.
- Snowflake has 354 other open roles on Level.
AI in this role
Design and develop elastic, high-scale container compute platform features for the Snowpark Container Service.
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.
We are looking for a talented and passionate Senior Software Engineer for our Snowpark Container Service, part of our Snowflake Compute Platform - to build our elastic, high-scale, high-performance, cloud native compute platform to enable bringing Compute to Data effortless and simple.
Snowpark Container Services is a fully managed container offering that helps our customers easily deploy, manage, and scale containerized applications without having to move data out of Snowflake. As a fully managed service, it comes with Snowflake security, configuration, and operational best practices built in. You will be part of this highly productive, fast moving, and growing team that is critical to realizing Snowflake’s Data Cloud Mission.
AS A SENIOR SOFTWARE ENGINEER, YOU WILL:
Design and develop features, understand customer requirements and meet business goals.
Lead a team of engineers, including mentoring and guiding them, and build technical direction and strategy for large and critical parts of the product surface area.
Manage all aspects of the Project, including Design, Coding, Reviews, Testing, Observability, Tooling and On-Call support.
Build highly reliable and fault-tolerant software to meet the needs of the largest customers.
Ensure operational readiness and maintainability of the service with heavy focus on reliability, availability, debuggability and performance.
Design and build Kubernetes based OCI compliant container compute platform features and capabilities that scale and evolve with changing business and customer needs.
Snowpark Container Services is still in an early stage of development - it is an amazing opportunity for outsized impact on Snowflake’s growth story.
OUR IDEAL CANDIDATE WILL HAVE MOST OF THE FOLLOWING QUALIFICATIONS:
Excitement to learn new things - passion to learn and grow are keys to success on this team.
Be a team player - Our team culture is a priority. Transparency, knowledge sharing, fun events, and helping each other are all part of our work environment
Work across functions and across teams - we don’t only work on code that we own, we work with other parts of Snowflake every day.
7+ years of industry experience building features and capabilities of large scale systems or infrastructure level platforms.
Extremely strong fundamental computer science skills and experience building distributed systems.
Hands-on coding experience in Java, C++ or Go is highly desirable
Ability to work on-site in our downtown Bellevue office.
BONUS POINTS FOR THE FOLLOWING INDUSTRY EXPERIENCE:
Experience building products or services with Kubernetes.
Designing and implementing products and features with multi-cloud support (AWS, Azure, GCP).
Implementing multi-tenant systems with focus on performance, isolation and security.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer
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, Snowpark Container Service at Snowflake rates 20 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
- $168k
This posting starts 19% above the typical software engineer job. See software engineer jobs
Questions you could be asked
- Tell me about a project where cloud computing 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 containerization was part of your work. What did you do?
- Tell me about a project where backend engineering was part of your work. What did you do?
- Walk me through how you've used Kubernetes in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Cloud Computing, Distributed Systems, Containerization, Backend Engineering, and Kubernetes. 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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