• Lead the architecture and delivery of secure, scalable microservices in a multi-cloud, containerized environment • Design and implement solutions using Java/Kotlin, Spring Boot, Kafka, and other cloud-native tools • Champion Domain-Driven Design (DDD), clean architecture, and event-driven paradigms • Guide engineers through code reviews, design sessions, and architecture governance • Mentor team members and maintain a culture of technical excellence, continuous learning, and collaborative delivery • Define and uphold engineering best practices, including documentation, testing, observability, and CI/CD integration • Collaborate with Product, DevOps, and Security teams to translate business needs into reliable technical solutions • Drive infrastructure automation and deployment consistency using Kubernetes and Git-based workflows • Engage in performance tuning, debugging, and incident resolution across the full stack • Contribute to platform-wide decisions around data modeling, APIs, and long-term architectural evolution.

• Build and ship full-stack product features using React, Next.js, TypeScript, and Node • Design and implement APIs that power campaign creation, personalization, and delivery tracking • Work on systems that generate, render, and queue physical mail dynamically • Build internal tooling and dashboards for campaign analytics and operations • Integrate with CRMs, data providers, and outbound tooling (Salesforce, HubSpot, etc.) • Optimize performance and reliability across the stack • Collaborate closely with design and GTM to ship fast iterations • Communicate technical tradeoffs clearly and concisely

• Develop and maintain robust, scalable web applications, working on both frontend and backend; • Integrate APIs and machine learning/AI models into applications; • Collaborate with data scientists, machine learning engineers, and other technical teams; • Participate in the design and architecture of AI-based solutions; • Ensure best practices in coding, version control, testing, and documentation; • Explore and apply solutions based on generative AI, NLP, computer vision, or intelligent automation, depending on the project.

Location: San Francisco or worldwide On-site/Remote | Full-time Compensation - Full Stack Engineer (remote Worldwide) -$100K – $180K • 0.05% – 0.25% - Full Stack Engineer (Onsite in San Francisco) - $140K – $200K • 0.05% – 0.25% - Senior Full Stack (Remote in the US) - $180K – $250K • 0.05% – 0.25% Our client is a high-growth security startup building the open-source infrastructure used by developers worldwide to manage sensitive configurations and credentials. Backed by premier Silicon Valley investors, the company is on a mission to simplify security for the AI era, currently supporting billions of secure transactions every month. The team are seeking an exceptional Full Stack Engineers and Senior Full Stack Engineers to join the team. In this role, you will work closely with the CTO to build, optimize, and expand the foundation of a global security platform. This position is ideal for an engineer who wants to be a defining piece of a team scaling toward massive market adoption over the next 18 months. Key Responsibilities - Full Stack Engineering: Build and optimize core platform features using modern web technologies. - New Product Development: Help expand specialized security offerings, including Public Key Infrastructure (PKI) and secure SSH access tools. - Security Innovation: Develop strategies for dynamic secret rotation and secure gateways to private resources. - Collaborative Design: Work directly with the CTO to make key technical decisions and establish the company's long-term technical roadmap. - Customer Engagement: Communicate directly with enterprise users to translate high-level security needs into production-ready features.