Software Engineer

Summary

Join Sourcegraph's Cody Prime team as an engineer and build resilient and secure services for our AI-powered code assistant, Cody. You will develop a roadmap for abuse detection, extend analytics services, and work closely with other engineering teams. This role requires proficiency in Go, experience with cloud environments, and strong communication skills. You'll contribute to a fast-paced environment, building enterprise-grade security features for an AI product. Sourcegraph offers above-average salaries, equity, and generous perks. The role is remote, but requires overlapping working hours with the PST timezone.

Requirements

• Clear and empathetic communication skills
• Proficiency in Go (or other strongly typed languages with a desire, willingness, and ability to quickly ramp up on effective Go.)
• General knowledge about deploying/managing/utilizing services in Cloud environments (GCP, Terraform, Kubernetes, CI/CD, etc. or similar)
• Skilled at architecting, debugging, building, testing, and reasoning about moderately complex distributed systems which intersect APIs and Services provided by other teams & companies
• Comfortable reasoning about API performance, service monitoring, metrics, alerting, etc. in moderately complex distributed systems (writing such code, and general intuition skills around OS primitives like network/CPU/memory, etc.)
• Eagerness to help and assist other internal (and occasionally external) engineers with the institutional knowledge you will help build on the team
• Experience working on small high-performing teams, preferably tech startups, or a strong desire to join a fast-paced async team environment
• Your working hours overlap with 9am-5pm PT for at least 15 hours per week so we have time to collaborate synchronously when necessary

Responsibilities

• Build and operate resilient and secure services providing authorization and authentication for Cody
• Develop a roadmap and tooling for abuse detection and mitigation
• Extend and operate analytics services collecting data around usage metering, license management, billing, and rate limiting
• Onboard onto the Sourcegraph architecture, tooling, and development workflow
• Build a solid understanding of the team’s areas of ownership, technical challenges, and problems the team solves for our customers, and know how all of these align with the top-level company goals
• Actively participate in team meetings, sharing ideas and insights to contribute to the overall team goals
• Start contributing to the team goals and deliverables by shipping new features, debugging issues, and fixing bugs
• Demonstrate an understanding of the Cody Prime service stack, its underlying technologies, and its integration within the Sourcegraph ecosystem
• Contribute to the implementation of new features or improvements in Go, with occasional opportunities to work on front-end features using JavaScript
• Participate in initiatives contributing to team goals on the roadmap by going through the entire product development lifecycle discovery, design, implementation, and delivery
• Participate in support of our production services
• Demonstrate a deep understanding of the Cody Gateway and Cody Analytics products
• Contribute new features to both services with assistance from senior engineers on the team
• Collaborate with teams across the company on projects that benefit from cross-team expertise, particularly those involving monetization or analytics of the Cody product

Preferred Qualifications

• Familiarity with monitoring/alerting technologies such as: Prometheus, Grafana, OpenTelemetry, OpsGenie, etc
• Familiarity with API technologies such as: HTTP text streams, WebSockets, REST, gRPC, etc
• Comfortable developing services that fit broader organizational preferences (neither micro-services nor monoliths, balancing and reasoning about such tradeoffs.)
• General familiarity with payment processing, authentication, etc. technologies or a desire to learn their usage
• Familiarity with, or an eagerness to learn about, interacting with most AI/LLM APIs in the world, their nuances and intricacies

Benefits

• Above-average salary
• Equity
• Generous perks & benefits