Role Description Pensar is looking for a talented Full Stack Engineer to join our team and help build the future of offensive security software. You'll work closely with security researchers, product managers, and other engineers to design, develop, and maintain our core platform and open source tooling. This role requires a passion for clean code, product excellence, and a deep understanding of both frontend and backend technologies. - Design, implement, and maintain scalable web applications and backend services - Collaborate with security researchers to translate pentesting workflows into intuitive and efficient user experiences - Build and enhance APIs, UI components, and integrations with customer environments - Optimize application performance, reliability, and security - Participate in code reviews, design discussions, and contribute to engineering best practices - Work with open source projects and contribute to the evolution of Pensar's tooling - Help shape the technical roadmap and architectural direction alongside leadership Qualifications - 3+ years of professional full stack development experience - Proficiency in JavaScript/TypeScript and at least one backend language such as Go, Python, or Node.js - Experience with modern frontend frameworks (React, Vue, or similar) - Strong understanding of RESTful API design and integration - Familiarity with database technologies (SQL and/or NoSQL) - Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus - Passion for building secure, reliable, and maintainable software - Good communication skills and ability to collaborate across teams Requirements - Background or interest in cybersecurity or offensive security - Experience working in open source communities or contributing to security-related projects - Knowledge of security best practices in software development and deployment - Familiarity with CI/CD pipelines and automation tooling Benefits - Competitive salary and equity in an early-stage offensive security company - Opportunities for professional growth and contribution to cutting-edge security research - Flexible remote work environment - Collaborative and mission-driven team culture - Comprehensive health, dental, and vision insurance - Direct ownership of customer engagements and offensive research at an early-stage security company - Professional development budget for conferences, training, and certifications - Support for publishing research and presenting at industry conferences - Direct, visible impact on both our open source tooling and commercial platform

• Assist clients in implementing, setting up, and managing their Zscaler solution throughout the project lifecycle. • Serve as a technical anchor, ensuring that Zscaler’s cloud-native security platform is integrated seamlessly to meet the unique demands of our customers. • Assess and recommend the configuration and implementation of Zscaler products and solutions while gathering requirements to develop tailored customer strategies. • Collaborate with the larger Zscaler Professional Services team to ensure the continued success of fellow team members, the organization, and our customers. • Integrate with customer cyber/network security teams to provide configuration guidance, best practices, and recommendations for environmental integration. • Lead testing and troubleshooting efforts, escalating critical issues to Zscaler Support, Engineering, and Cloud Operations as necessary. • Provide regular status reports for incidents and projects, maintaining a willingness to travel and respond to after-hours Severity 1 issues to meet customer goals.

Role Description UserEvidence is a SaaS platform that unlocks stories from happy customers, and automatically creates a library of beautiful content assets. We are the only platform purpose-built to unlock customer love at scale. Credibility and noise are huge issues in B2B marketing and sales. We believe companies can sell a lot more when they let their customers do the talking, and show real-life evidence and feedback from their users. About this role. UE Advocacy is a customer advocacy product we acquired because it fits our north-star mission. The product demos beautifully and customers love what it does, but the codebase was built fast and is now showing the strain. We are in active remediation: - Porting a legacy Express API to a modern Hono/Bun backend - Decomposing oversized React pages - Hardening data integrity - Retiring AWS Lambdas in favor of in-monorepo BullMQ workers - Adding real test and observability coverage We need senior engineers who can ship inside a codebase under construction, follow established patterns rigorously, and trust the safety net (canary deploys, feature flags, automated review) instead of relying on manual full-app QA. Qualifications - At least six years building software in a team environment, or equivalent demonstrable experience. - At least four years working professionally with TypeScript, including in strict mode. - Production experience with at least one modern Node/Bun backend framework (Hono, Fastify, Express, Koa, or similar). - Production experience with a typed ORM (Prisma strongly preferred; Drizzle, TypeORM, or similar are acceptable). - Production experience writing complex SQL queries against PostgreSQL. - Production experience with a background job system (BullMQ, Sidekiq, Celery, SQS-backed workers, or similar). - Production experience with React. Next.js experience is a strong plus. - Production experience writing integration tests against a real database. - Comfortable working in a codebase under active rewrite. - Comfortable working remotely in an autonomous environment. - Able to collaborate during US time zones. - Must be located in South or Central America. - AI-forward — required, not optional. Requirements - Write clean, maintainable, well-tested code following established patterns. - Conduct thoughtful peer code reviews and respond constructively to the same. - Use automated code review (Macroscope), automated tests (Bun, Vitest, Playwright), and canary deploys as your safety net. - Troubleshoot production issues using New Relic, structured logs, and direct database queries. - Drive agents to do substantive work, not just autocomplete. - Ship real production code substantially authored by an agent. - Produce artifacts that make agents more effective. - Comfortable in agent-driven workflows. Benefits - Competitive salary and bonus + a large equity stake. - Unlimited PTO + 13 paid holidays per year. - $4,000 equipment allowance for your first two years, $3,000 budget every following two years. - Health, dental, vision insurance. - Individual learning + development budget (up to $2,500/year). - Flexible work schedule and remote work options. - Coworking space membership reimbursement. Company Description While we are a fast growing remote-first tech startup, we prioritize a fulfilling and stable lifestyle for our employees. We have a real opportunity to get to $50M/yr+ in recurring revenue within 4-6 years and see a large exit, but we’re going to do so in a smart and sane way that is financially prudent and ensures that any exit substantially benefits all employees rather than simply founders and investors. We want everyone to have a good work-life balance - there will of course be (a lot of) times where we’re grinding, but we want to enjoy the journey, not only the destination. Remote work and flexibility will be key, and we will also bring together our team in Jackson Hole (or other cool locations) once a year. Our culture is one that prioritizes creativity, honest and open communication, transparency, smart risk-taking, humility, and growth.

• Architect and design physics-based sensor models across varying levels of fidelity for eVTOL aircraft • Own the end-to-end development lifecycle for sensor models, encompassing architecture, implementation, testing, and lab integration • Develop models spanning a variety of aviation-grade sensors, such as IMU, GNSS, INS, air data systems, and radar altimeters • Implement all sensor models in Simulink, ensuring adherence to modeling standards and adopting best practices for model management • Analyze and interpret data from simulation, lab testing, and flight testing to identify model inaccuracies and characterize real-world sensor performance • Collaborate with state estimation, control law, and simulation engineers to ensure models enable effective simulation testing • Build tools and processes to improve maintainability and enhance simulation performance