Senior Software Engineer, Snowflake
Openflow
$200-287.5k
+ bonus and equity plan
3-5 days a week in office (Menlo Park, CA)
AI Data Cloud for data sharing and app building
Open for applications
AI Data Cloud for data sharing and app building
1001+ employees
Open for applications
$200-287.5k
+ bonus and equity plan
3-5 days a week in office (Menlo Park, CA)
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- 7+ years of industry experience building and operating backend or platform services, including significant hands-on work with distributed systems
- Strong computer science fundamentals, including algorithms, data structures, and systems design, with the ability to apply them pragmatically in production code
- Practical experience with distributed systems concepts, such as concurrency, replication, partitioning, streaming, and fault tolerance, and how they impact correctness, performance, and operability
- Solid understanding of operating systems and networking basics, including multi-threading, memory management, storage, and debugging performance/scale issues
- Proficiency in Java or a similar object-oriented language (e.g., Scala, Go, C++), and experience working in large, shared codebases
- Experience building cloud-native services on at least one major cloud provider (AWS, Azure, or GCP), using containers, CI/CD, and modern monitoring/logging stacks
- A track record of delivering high-quality, maintainable solutions to non-trivial engineering problems, balancing speed with long-term reliability and simplicity
- Strong collaboration and communication skills, with the ability to work effectively with teammates across locations, give and receive feedback, and explain technical trade-offs clearly
- BS in Computer Science or a related field, or equivalent practical experience building and shipping distributed systems
- (Bonus) Experience with data integration, observability, or streaming/flow technologies (e.g., Apache NiFi, Kafka, Flink, Airflow, or similar) or with analytics/data platforms
What the job involves
- Design and implement features in Openflow’s control plane and data plane, contributing to reliable, scalable, and secure services that power real-time, bi-directional data movement for our customers
- Build and evolve distributed systems for batch and streaming workloads, enabling high-throughput, low-latency data pipelines across Snowflake and non-Snowflake environments, for both structured and multi-modal unstructured data
- Own medium-sized projects end to end—from requirements clarification and technical design through implementation, testing, rollout, and follow-up improvements—with appropriate guidance from Staff and Principal engineers
- Take operational ownership of the components you build, including monitoring, on-call participation, incident response, and contributing to post-incident reviews and reliability improvements
- Apply and promote solid engineering practices in your area—clean code, robust testing, observability, security, and documentation—to keep our platform easy to operate and evolve
- Collaborate closely with peers across engineering, product, and design, translating ambiguous requirements into clear technical plans, breaking work into milestones, and communicating progress and risks
- Analyze and improve performance, scalability, and reliability of existing services and pipelines, using metrics, profiling, and experimentation to guide optimizations
- Mentor junior engineers and interns, providing constructive code reviews, design feedback, and sharing domain knowledge in Openflow, Snowflake, and distributed systems
- Contribute to shared platform tooling and patterns, helping make it easier for Openflow teams to build, deploy, and operate high-quality connectors and runtimes
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organisations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Insights
37% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
LATE VC
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Menlo Park, CA
Leadership
Benoit Dageville
(Co-Founder & President of Product)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
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