Sr. Software Engineer

About Keystone AI Keystone AI is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success. Backed by Insight Partners , a leading global software investor, Keystone AI has experienced sustained double-digit growth and continues to expand its global footprint. Today, Keystone AI supports customers in more than 20 countries and manages over 15 million endpoints worldwide. Founded in 2000, Keystone AI has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike. At Keystone AI, success comes from embracing challenges, moving with urgency, and continuously raising the bar. About the Role: Keystone AI's SaaS Backup products protect M365, Google Workspace, and Salesforce data for hundreds of thousands of businesses globally. We are building the next generation of our backup storage platform — a unified, cloud agnostic system built to operate at massive scale across trillions of objects and petabytes of data. As a Staff Engineer, you will own one or more platform services end to end: design, implementation, testing, and production readiness. You work with high autonomy on well scoped problems and are the go-to technical owner for your domain. What You Will Do: Own the full lifecycle of a platform service — from design through production deployment and on call support Build reliable, well tested backend services in Go with a strong focus on correctness and operational simplicity Design and implement integrations with SaaS APIs (M365, Google Workspace, Salesforce) — handling rate limits, delta sync checkpointing, and failure recovery Collaborate closely with principal and senior engineers on cross service interfaces and data models Write high quality code that sets the standard for the engineers around you Participate in design reviews and contribute to architectural decisions within your domain Required Skills: 5–8 years of software engineering experience Proficiency in Go or strong willingness to work in Go as the primary language Experience building and operating backend services on cloud infrastructure (AWS, GCP, or Azure) Familiarity with Kubernetes for service deployment Working knowledge of SQL databases and REST or gRPC APIs Good testing practices — you write tests alongside code, not after Desired Skills: Experience integrating with SaaS APIs (Microsoft Graph, Google Workspace APIs, or Salesforce Bulk API) Familiarity with message queues (Kafka, SQS, or similar) Exposure to cloud object storage (S3, GCS, or Azure Blob) Background in data-intensive or infrastructure-adjacent backend systems Why Join Keystone AI: High ownership over a real production service from day one Greenfield platform with strong technical leadership and a clear roadmap Small team where your contributions are visible and impactful Competitive salary and benefits Additional information Keystone AI provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.