Senior Software Engineer, Distributed Systems

Hiring Location: Hybrid - Menlo Park, CA
About Bluesky:
Bluesky is a platform that helps organizations optimize costs and maximize returns on their Snowflake investment. Although Snowflake has made analytics accessible to many and enabled faster business decisions, it has also created inefficiencies at scale. Our platform offers budgeting and forecasting tools, workload optimization, query analysis, anomaly detection, and monitoring and alerting features that provide customers with deep visibility. With Bluesky, customers can expect 500X query improvements and 30% cost reductions, which makes it a no-brainer for any enterprise.
Our team consists of domain experts in big data who have solved similar problems for companies such as Google, Vertica, Uber, Stripe, Facebook, Pure Storage, DBT, and Snowflake, and other thought leaders in the industry. Our company has received funding from top-tier VCs, angels, and various thought leaders, including the founders of Cloudera and Qubole. We are committed to building a world-class team that will develop systems with a profound impact on how people use their data clouds.
We're looking for a Senior Software Engineer passionate about tackling big data challenges in the next-generation data clouds. As a crucial early team member, you'll play a significant role in making important architectural decisions that will shape our technology stack for years to come. You'll also have the chance to make an immediate impact on the big data stack at multiple well-known tech and non-tech companies who are our customers. Additionally, you'll receive generous equity compensation with significant growth potential.
Responsibilities:

• Design and implement creative new algorithms and technologies for high-performance, highly reliable systems
• Build interface software: e.g. build a Java driver to Snowflake, plugin to dbt, or network proxy application to intelligently schedule SQL queries on to Snowflake warehouses
• Backend Service Integration: facilitate the transfer of intelligence developed by optimization engineers, serving it back to the system
• Create low-level systems components within a distributed system

Requirements:

• Expertise in either C++, Rust, Go, Java or other low level programming languages
• Experience building high performance, high availability systems
• Experience in any number of related systems software projects e.g: Distributed systems, Operating systems, Linux Kernel, Database internals, Hypervisors, Containers, Compiler Optimization, etc.
• Experience with cloud technologies

Nice to Haves:

• Hands on experience with Snowflake
• Previous experience working in a startup environment

Why Join Bluesky
We raised $8.8M to solve the biggest challenges of big data cloud adoption: the cost management and workload optimization. We're backed by Greylock venture capitalists. Our founder Mingsheng Hong has decades of experience in the big data industry, and is behind the names of well-known data and ML technologies like Vertica, Google's Ads database stack as well as TensorFlow. Neil Vachharajani, Head of Engineering, brings over two decades of expertise in compilers, computer architecture, and high-performance systems. Bluesky has also officially joined the Snowflake Partner Network. We achieved Select Tier status less than a month after coming out of stealth. Please see techcrunch and data engineering podcast for details.
Pay Transparency
Compensation for this role consists of a base salary, stock options, and benefits. Expected base salary range: $175,000 - $200,000 annually, determined by applicable qualifications such as level, education, and skills.
In addition, we offer top tier medical, dental, and vision insurance for you and your family, unlimited PTO, and a 401(k) plan.