Senior Software Engineer, Server Security

We are hiring a Senior Software Engineer to join our Server Security team. The Server Security team is a development-focused group within Keystone AI's core engineering organization. Operating "close to the bottom of the stack," the team builds features that enable database users to secure their data globally. You will work on critical components including: Cryptography: Queryable Encryption , at-rest data encryption, and fundamental cryptographic principles. Identity & Access: Authentication and authorization systems, TLS, and X.509 certificate management Network Security: High-performance, low-latency networking protocols (PKI, Hashing, CRLs) System Integrity: Resilience, observability, and compliance assurance within a large-scale distributed database Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators. The role As a Senior Engineer, you will apply distributed systems fundamentals to deliver core security features. You will be a leader in improving Keystone AI's security posture by owning features and leading investigations into complex areas of the codebase. What you’ll do: Build and test new security features in a large, feature-rich C++ codebase Work across engineering, cloud services, and support teams to coordinate feature rollouts and changes Stand for code quality and security best practices, assisting fellow engineers in writing well-reasoned, secure code Use strong diagnostic intuition to solve thorny technical issues related to distributed systems, concurrency, and OS internals This role can be remote or hybrid anywhere in the USA or Canada. We will prioritize candidates who are already located in one of these countries. Candidate Profile We are looking for a highly technical engineer who thrives on the theory and practice of large-scale distributed system design. 5+ years of experience building distributed systems Proficiency in a compiled language (C++, Rust, Go, Java, or similar). Technical interviews will be conducted in a compiled language of your choice Ability to reason about how specific design choices impact a distributed system like Keystone AI Understands modern computer architecture and internals to the degree that they can reason about how specific design choices plays out in a system like Keystone AI Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture Excellent communication skills to synthesize complex technical implications for diverse stakeholders Success Measures In your first month, you’ll understand the high-level architecture of Keystone AI, dive into the details of your team’s components, and resolve a few bugs In the first three months, you’ll contribute to the development of a project slated for the next release of Keystone AI, take on code review responsibilities, and participate in design reviews for new features In the first six months, you’ll lead the development of a new feature and help mentor new engineers on the team About Keystone AI Keystone AI is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. Keystone AI’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, Keystone AI Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on Keystone AI for their most important applications, we’re powering the next era of software. Our compass at Keystone AI is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us Keystone AI. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at Keystone AI , and help us make an impact on the world! Keystone AI is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. Keystone AI is an equal opportunities employer. Req ID: 1273412835 AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward. Keystone AI’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of Keystone AI’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. Keystone AI’s base salary range for this role in Canada is: $137,000 — $189,000 CAD