• 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.

About Us Integrity Management Services, Inc. (IntegrityM) is an award-winning, women-owned small business specializing in assisting government and commercial clients in compliance and program integrity efforts, including the prevention and detection of fraud, waste and abuse in government programs. Results are achieved through data analytics, technology solutions, audit, investigation, and medical review. At IntegrityM, we offer a culture of opportunity, recognition, collaboration, and supporting our community. We thrive off of these fundamental elements that make IntegrityM a great place to work. Our small, flexible workplace offers an exceptional quality of life and promotes corporate-driven sustainability. We deliver creative solutions that exceed goals and foster a dynamic, idea-driven environment that nurtures our employees’ professional development. Large company perks…Small company feel! www.integritym.com Position Summary  IntegrityM is seeking a Chief Statistician to lead advanced analytics and statistical modeling efforts in support of complex healthcare data initiatives. This full-time leadership role will oversee predictive modeling, fraud detection analytics, and data mining activities while ensuring methodological rigor, regulatory compliance, and high-quality analytical outputs.  The ideal candidate combines deep statistical expertise with strong leadership capabilities and experience working with large healthcare datasets.  Key Responsibilities  • Lead development and validation of statistical models, predictive analytics, and advanced analytical methodologies.  • Oversee fraud detection and anomaly identification initiatives.  • Analyze complex healthcare data and translate findings into actionable insights.  • Establish model governance standards and documentation protocols.  • Supervise and mentor analytics staff.  • Communicate complex statistical findings to both technical and non-technical audiences.  • Ensure compliance with applicable data privacy and regulatory standards.

Join a fast-growing global leader in cybersecurity, trusted by some of the biggest names in the industry. In addition to some of the world’s largest enterprises and government agencies, more than 30% of the world’s top MSSPs rely on our platform. We’re at the forefront of protecting organizations against sophisticated cyber threats using cutting-edge AI and automation technologies. Our culture is built on diversity, openness, and collaboration, fostering creativity and innovation that drives real impact in the market. Position Overview We are looking for a highly skilled Staff Machine Learning Software Engineer with a passion for building robust and scalable systems to power Stellar Cyber’s Open XDR platform. In this role, you will be at the forefront of data-intensive cybersecurity and machine learning software architecture innovation, responsible for developing the foundational components that enable effective and efficient cybersecurity operations for our customers. Key Responsibilities - Design and implement scalable data processing components and supporting features for Stellar Cyber’s cybersecurity applications, including but not limited to, threat detections, incident correlation, threat intelligence, and asset management. - Candidates who successfully pass all the interviews will be assigned to a project area in need. - Monitor and resolve production stability issues related to the aforementioned components and features. - Collaborate closely with machine learning / security researchers, UI / UX, and product management to ensure the design and implementation to align with evolving product needs and business goals.