Staff/Principal Software Engineer: Enterprise Platform Team

Posted 15 Days Ago
Be an Early Applicant
San Mateo, CA
Hybrid
Expert/Leader
Software
The Role
The role involves building robust components for the Observe product, including API servers, shared infrastructure, and enterprise features. Responsibilities include designing scalable solutions, writing reliable unit tests, and contributing to the product vision and planning.
Summary Generated by Built In

Observe is a SaaS Observability product that enables businesses to investigate modern distributed applications 10x faster. Observe ingests anything with a timestamp (e.g. system and application logs, metrics, and traces), and then structures that data so that it is correlated and easy to navigate. We enable engineers to spend more time coding features and less time investigating incidents.


The Enterprise Platform team is responsible for building enterprise features and service infrastructure towards a highly reliable application and control plane for Observe. We work with tools like Golang, Kubernetes, GraphQL, and Postgres, as well as our temporal-relational query language, OPAL.

What you have the opportunity to accomplish:

  • Build robust application and control plane components that drives the rest of the Observe product: This includes our API servers, authentication, application metadata and the infrastructure that our services run on
  • Design shared infrastructure components that optimize for scalability, reliability, performance and long-term maintainability
  • Develop enterprise features such as RBAC, IAC (terraform), programmatic APIs
  • Write robust unit tests that are quick, reliable, and allow our team to continuously deploy to our kubernetes service infrastructure
  • Be a strong contributor to the product vision and team planning

You'll be successful in this role if you have:

  • Strong computer science fundamentals
  • BSCS degree or equivalent experience
  • 10+ years experience working on service infrastructure
  • A solid understanding of SaaS application architecture and database fundamentals 
  • Experience building and deploying scalable, secure and performant APIs 
  • Proficiency with distributed systems, SOAs, performance measurement and optimization

About Us

Observe's mission is to turn business data into information. Our SaaS Observability product ingests anything with a timestamp - logs, metrics, traces - and then curates and relates that data to provide unique insights into a customer’s data universe. If a customer has a problem on the application layer, engineering teams can seamlessly find the root cause of the issue whether that’s a new release pushed to production from Jenkins, or an underlying database or memory issue. 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 customers only pay for what they use. To learn more about Observe, visit www.observeinc.com or join the conversation on Twitter @Observe_Inc.


Observe Inc. is a diversity-friendly zone. We seek to assemble a heterogeneous team where employees from all backgrounds can feel valued, appreciated, and celebrated, and where individual development does not come second to our collective goals.

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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