Staff/Principal Software Engineer: Data Backend

Posted 13 Days Ago
Be an Early Applicant
San Mateo, CA
Hybrid
Senior level
Software
The Role
As a Staff/Principal Software Engineer, you'll oversee backend development, focusing on query optimization and stream processing while mentoring junior team members. You'll contribute to enhancing the data management platform and develop new backend capabilities.
Summary Generated by Built In

Observe is building an Observability Cloud that allows customers to bring all their machine data (logs, metrics, traces, etc.) together in one place. At the core of the service is our data management platform which enables our users to build sophisticated streaming pipelines and express materialized views and temporal queries all without learning complex database concepts.


As a senior member of the data backend team, you will help drive the roadmap of several exciting areas of the backend development and make our product better with new backend capabilities. You will also mentor junior members of the team and help set the technical standard of the entire team. The technical areas you may work on include but are not limited to:

- Query optimization

- Query execution

- Stream processing

- Materialized view


The ideal candidate should be:


- Experience with relational database internals

- Experience with the above technical areas is a plus but not required if the candidate has strong background working with large-scale data systems

- Experience with Go is a plus but not required

- Self-motivated, fearless, likes to dive in the code and get stuff done

- Strong teamplayer who can work independently but cares about context and knows when to reach out

Top Skills

Go
The Company
HQ: San Mateo, CA
127 Employees
On-site Workplace
Year Founded: 2017

What We Do

Observe was founded by Sutter Hill Ventures in November 2017. Our founding team came from leading Enterprise SaaS and software companies that work with vast quantities of data such as Snowflake, Splunk and Wavefront.

Our founding thesis was that the enterprises are data rich, but information poor. Data is siloed making it difficult to understand what’s going on inside applications and infrastructure. The result is often a poor customer experience and wasted engineering time tracking down incidents. Oh, and it costs a fortune.

Observe discerns why applications and infrastructure are running the way they are from the data they emit. We enable engineers to spend more time coding features and less time investigating incidents. We reduce outages and issues with customer experience. And we leverage an elastic cloud architecture so that you only pay for what you use.

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