Sr. Software Engineer (Frontend) - Access Management

Cerby

8d•Remote

About The Position

At Cerby, software engineers are at the heart of driving technology and product innovation. As a Senior Software Engineer on the Access Management team, you will play a key role in building and scaling the foundations of Cerby's SaaS platform, used by customers and internal teams alike. This includes owning core capabilities such as application password management, secure vault systems, authentication protocol integrations with various IdP providers, asynchronous background workers for data synchronization, and graph-based RBAC systems for fine-grained permission control. In this role, you will collaborate with cross-functional teams while owning the quality, scalability, and security of the platform. You will help lead and drive a security-first engineering culture, enhance the product's user experience, and maintain high standards of software delivery. You are also expected to embrace AI as a core part of how we work, actively exploring and incorporating AI tools and practices into your daily development workflow to improve team efficiency and accelerate impact.

Requirements

5+ years of professional software engineering experience, with a focus on building and scaling SaaS applications.
Prior experience developing and maintaining Distributed Applications
Previous experience mentoring junior developers and conducting security-first code reviews
Experience with designing, developing, and maintaining scalable SaaS applications in a high performance startup environment.
Expertise in core frontend technologies, including the browser API, client-side storage mechanisms (e.g., localStorage, IndexedDB), networking (e.g., fetch, XMLHttpRequest), and performance optimization.
Experience building scalable, high-performance React applications with Next.js for SSA (Single Page Application).
Experience with designing, consuming, and optimizing REST APIs with efficient data fetching strategies.
Experience working with design systems to ensure UI consistency, reusability, and scalability.
Expertise with React, Next.js, TypeScript and utility-first frameworks like TailwindCSS (familiarity with alternative frameworks and their tradeoffs is a plus).
Cloud platforms (ideally AWS).
Applying deep knowledge of frontend security best practices to identify and mitigate vulnerabilities such as XSS, CSRF, and CORS, implementing protections like Content Security Policy (CSP) to safeguard users and data.
Designing responsive, maintainable, and accessible UI components.
Writing unit tests, integrations tests, and component tests to ensure robustness and prevent regressions.
Building and maintaining component libraries that align with brand guidelines and accessibility standards.
Software engineering practices such as Agile and Scrum, CI/CD, Collective Code Ownership.
Architecting and designing distributed, fault-tolerant, high-availability, and resilient systems.
Proven ability to instrument distributed systems with well-designed telemetry and observability code, including metrics, traces, and log management (prior experience with OpenTelemetry and Datadog a plus).
Ability to own and drive the software development from design through development, testing, delivery and production release. Writes maintainable code, high quality, scalable, and secure code.
Contribute to build application accessibility by following WCAG guidelines, ARIA roles, and screen reader optimizations to implement inclusive and compliant user experiences.

Nice To Haves

Experience working with security compliance frameworks (SOC 2, GDPR, HIPPA, etc.)
Familiarity with encryption processes and key management is a plus.
Prior experience in cyber security and/or Identity and Access Management (IAM) a plus.
Prior experience in a venture funded high-growth SaaS startup preferred.

Responsibilities

Design and Develop: Build scalable, high-performance software solutions that align with business goals and user needs, leveraging AI-assisted tools and techniques as part of your engineering practice.
Collaborate: Work closely with product managers, engineering managers, UX designers, and other engineers to deliver high-quality features and functionality.
Code Excellence: Write clean, maintainable, and efficient code, adhering to best practices and coding standards. Help define and promote best practices across the engineering org, including how AI tools can be responsibly and effectively integrated into development workflows.
Continuous Improvement: Participate in code reviews, share knowledge with team members, and continuously improve development processes.
Innovation and Curiosity: Champion new technologies, frameworks, and methodologies that drive innovation and product evolution, while continuously exploring ways to leverage AI in your day-to-day work to boost personal efficiency and empower those around you to do the same.
Security Mindset: Actively contribute to our security-first approach by proactively identifying vulnerabilities and implementing robust solutions, including treating the frontend dependency ecosystem as a security surface: owning PNPM workspace governance, auditing packages for CVEs, enforcing patching SLAs, and managing supply-chain risk across transitive dependencies. Applies the same critical lens to how AI tools are adopted in development workflows, evaluating their security implications and ensuring they don’t introduce new vectors for risk.
Remote Collaboration: Collaborate effectively in a remote-first environment, ensuring seamless communication and teamwork across time zones.
Culture: Demonstrates leadership and lives Cerby’s core values to achieve positive outcomes. Help cultivate an environment where experimenting with AI is encouraged, learnings are shared openly, and the team grows together.
Problem-Solving: Strong analytical and problem-solving skills with a focus on delivering high-quality solutions.
Communication Skills: Ability to communicate complex technical concepts clearly and concisely both in written and verbal form
Team Collaboration: Collaborate and thrive in agile teams, actively mentoring engineers, sharing knowledge across the org, and leveraging AI to accelerate documentation (runbooks, ADRs, onboarding guides, post-mortems) to free more time for the deep technical conversations that actually transfer expertise.