• Context: We are seeking a Software Engineer to help develop cloud security blueprints for Google Cloud Platform (GCP). These blueprints capture the security best practices used by the largest companies worldwide. • A blueprint is a package of deployable, reusable modules and policies that implements and documents a specific security solution. • Development work is performed on open-source projects.

About Cleerly We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives. About the Opportunity We are seeking a Senior Software Engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work hands-on to package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing to ensure reliability, performance, and faster delivery of business value. Responsibilities - Design, build, and deploy scalable AI/ML services with clear service boundaries, making pragmatic trade-offs across performance, maintainability, security, and long-term extensibility. - Own full lifecycle delivery of complex features from architectural planning and API design to implementation and post-release observability. - Define and enforce robust verification and validation for AI services including unit, integration, and end-to-end testing to ensure reliability of code in production and compliance with our Quality Management System and regulatory standards. - Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment. - Translate product requirements into well-defined technical designs proactively shaping implementation details. - Contribute to the necessary technical documentation required for regulatory submissions. - Collaborate cross functionally to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation. Requirements - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field - 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar). - Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility. - Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms(SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows. - Strong collaboration skills to work effectively with ML scientists, engineers, and regulatory teams. - Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders. This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges: - Base Salary: $153,000 - $179,000 - TTC: $176,000 - $206,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards. Working at Cleerly takes HEART. Discover our Core Values: - H: Humility- be a servant leader - E: Excellence- deliver world-changing results - A: Accountability- do what you say; expect the same from others - R: Remarkable- inspire & innovate with impact - T: Teamwork- together we win Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (https://cleerlyhealth.com/privacy-policy). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

• Build and Ship — Create, modify, and review full-stack code that meets our standards for performance, reliability, security, and testability. • Architect Thoughtfully — Contribute to system design discussions and help translate business requirements into scalable technical solutions. • Own Quality — Build robust automated tests and ensure every deployment is fast, reliable, and fearless. • Work at the Frontier — Contribute to LLM-powered features and partnership integrations that are shaping new product direction. • Communicate Clearly — Bridge the gap between technical complexity and business goals across the organization. • Iterate Continuously — Participate in Agile ceremonies, drive team discussions, and help refine how we work — not just what we build.

About Etera Etera is building the first AI-native corporate travel platform for the GCC market — designed from the ground up for how businesses in the region actually operate. We're a lean, high-conviction team replacing legacy TMCs with autonomous agents, real-time inventory, and a product experience that doesn't feel like it was designed in 2009. The Role We're looking for a Senior AI Fullstack Engineer who can own the full stack — from a smooth React Native mobile experience to TypeScript backend services and the AI/LLM layer that powers our multi-agent infrastructure (OPUS Prime). If you think in systems, ship fast, and find it natural to reason about both user-facing product and underlying model behavior, this role was built for you. What You'll Own - Mobile-first product: Build and maintain Etera's React Native app (Expo/TypeScript) — booking flows, real-time updates, multilingual UX (Arabic/English). - Backend services: Design and extend our TypeScript backend, including booking APIs, supplier integrations (PKfare, RateHawk, Hotelbeds), and webhook orchestration. - LLM integration: Work directly with Claude (Anthropic API) and our multi-agent OPUS Prime system — building, tuning, and extending AI pipelines for travel intent detection, QA, and automated engineering reports. - End-to-end delivery: Take features from spec to production. Own the full lifecycle — architecture, implementation, testing, deployment. - Infra & reliability: Firebase Auth (OTP, Apple, Google), EAS Build/TestFlight pipelines, and CI/CD hygiene across the stack. - Code quality: Participate in security audits and peer review within a small, high-trust engineering team. Tech Stack Frontend / Mobile: React Native + Expo, TypeScript, Firebase Auth (OTP, Apple, Google), EAS Build / TestFlight, Native iOS/Android context. Backend / AI: TypeScript (end-to-end), Anthropic API / Claude, Mastra (agent orchestration framework), LangChain (chains, tools, memory), Zeabur / cloud deployment, REST + Webhook integrations. You've Built and Run Agent Teams. Plural. This is not a role for someone who has experimented with LLMs on side projects. We're looking for engineers who have designed, shipped, and actively maintained multi-agent systems — and who understand what it takes to keep them reliable in production. - Proven agent team ownership: You have built one or more autonomous agent teams from scratch — defined their scope, wired their tools, managed inter-agent communication, and own their continued operation. - Self-validating mindset: You don't hand off agent output blindly. You act as the primary validation layer for the systems you build — designing evaluation criteria, catching failure modes, and iterating on agent behavior based on real output quality. - Cross-domain fluency: Your agents have touched multiple domains — not just one narrow use case. You can reason about agent behavior across booking logic, data quality, QA pipelines, code review, or content generation without needing a specialist in each area. - Maintenance discipline: You have a track record of keeping agent systems healthy over time — prompt drift, tool failures, context window management, regression testing. Not just shipping and moving on. - Full-stack integration: You connect agent teams to real product surfaces — not just notebooks or internal tools. Your work shows up in APIs, mobile interfaces, or backend workflows that real users depend on.