Member of Technical Staff - Product Engineering

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Scout AI

Member of Technical Staff - Product Engineering

New York, NY
Full Time
Paid
  • Responsibilities

    Intro

    Scout AI is a new hiring platform that connects software engineers to opportunities with world-class companies. On Scout, you get a more relevant and growthful interviewing experience, you receive feedback on your performance, and you also get end-to-end support to improve your chances of getting hired.

    If you perform well on the Scout interview, you become eligible for opportunities with all companies in the Scout network (only complete the interview once).

    This role is with our partner company that is actively hiring:
    Anterior

    About the role

    Anterior is on a mission to transform healthcare administration, making it seamless and invisible so clinicians can focus on delivering care. We've built an AI-powered platform designed by clinicians, for clinicians, to simplify administrative workflows and improve patient outcomes. By combining clinical expertise with cutting-edge technology, we're revolutionizing healthcare operations with responsible AI.

    We're growing rapidly and are backed by world-class investors including Sequoia, New Enterprise Associates (NEA), and Neo along with notable angels including the founders of DeepMind, Google AI, and Inflection AI. You can learn more about us here.

    The Team:

    At Anterior, engineers share a strong "sense of product" and solve meaningful problems that simplify healthcare workflows. We collaborate in multidisciplinary teams to deliver secure, scalable, and user-focused solutions guided by best practices and modular design.

    We value diverse experiences and skill sets, continually expanding our team to tackle modern healthcare's challenges with creativity and precision.

    The Role:

    As a Member of Technical Staff at Anterior, you will take ownership of complex technical challenges, delivering impactful solutions that align with our mission. You'll work closely with a multidisciplinary team to shape scalable infrastructure, craft robust backend systems, and co-create transformative tools for clinicians.

    What You'll Do:

    • Design, implement, and maintain scalable, resilient infrastructure for real-time, high-throughput healthcare applications.
    • Develop and optimize backend systems that power secure, AI-driven clinical workflows.
    • Work cross-functionally with Product, Design, and AI teams to create intuitive, user-centric solutions.
    • Architect and maintain multi-cloud environments (AWS, Azure, on-prem) and build infrastructure using Terraform, Kubernetes, and containerized services.
    • Apply Infrastructure as Code (IaC) principles to automate deployments and optimize system performance.
    • Ensure high reliability, security, and scalability, integrating best practices in modular system design, testing, and observability.
    • Mentor and collaborate with engineers across disciplines, fostering a culture of experimentation, continuous learning, and technical excellence.

    What We Look For:

    • 4+ years of experience in backend infrastructure, distributed systems, or cloud engineering along w/ a degree in Computer Science, Engineering, Mathematics, or a related technical field.
    • Empathy for users – You prioritize end-user needs, collaborating with product managers to deliver intuitive solutions.
    • Scalability mindset – You understand distributed systems and have worked with scalable backend architectures and message queues.
    • Cloud-native approach – You are comfortable working in multi-cloud environments, including AWS, Azure, and on-prem setups.
    • Technical depth – You have experience with Terraform, Kubernetes, Docker, and CI/CD pipelines.
    • Startup ready – You thrive in high-ownership, fast-paced environments like early-stage startups or greenfield projects.
    • Collaborative spirit – You have led multidisciplinary teams and fostered a culture of innovation and continuous learning.

    Bonus Points:

    • Experience with data pipelines, enterprise integrations, or API marketplace offerings.
    • Background in high-compliance, security-sensitive industries (healthcare, finance, defense).
    • Familiarity with AI/ML infrastructure and deploying LLM-powered applications in production.

    Benefits:

    • Early-Stage Equity
    • Competitive, top-of-market salary
    • 100% covered health, dental, and vision insurance
    • Catered lunches and a stocked kitchen
    • Commuter benefits
    • Company Laptop along w/ tools you need to succeed
    • Learning & development budget
    • Team-building events
    • Flexible PTO