Software Engineer, AI
Observe is a SaaS Observability product which 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. Finally, because of Observe’s unique elastic architecture, it is priced based on usage, making it cost 10x less than incumbents.
The mission of the AI team is to leverage generative AI to enable on-call engineers to be much more effective in investigating and resolving issues. Specifically, we incorporate recent advances in generative AI into Observe to help make sense of huge quantities of unstructured data by extracting, summarizing, and retrieving information that is relevant to engineers investigating incidents. The end result is more connected context and faster time-to-resolution. Join us in this journey to transform the alert and incident troubleshooting for the better.
What you’ll be doing:
- Design, implement, evaluate and ship product features leveraging generative AI.
- Build AI agentic workflows to improve the observability of users’ systems.
- Collaborate with product and design teams to drive and shape AI features.
You’ll be a good fit if you have:
- BS or MS in Computer Science and solid computer science fundamentals
- 3+ years of product backend development experience and a track record of shipping user-facing features. Experience shipping generative AI features is a plus.
- Proficiency in Python and Go
- A strong passion for making incident troubleshooting easier
- A solid understanding of agentic workflows, prompt engineering, generative AI fundamentals
- Experience working with Kubernetes
Top Skills
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.
.png)
