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10a Labs · 2 days ago

Software Engineer, Backend

United States

Full-time

Remote

Mid Level

$105K/yr - $125K/yr

3+ years exp

10a Labs is an applied research and AI security company trusted by AI unicorns and Fortune 10 companies. They are seeking a Software Engineer, Backend to design and implement secure and scalable backend services and APIs, working closely with researchers and product teams to bring AI-driven features to production.

Research

Responsibilities

Design and implement backend services and APIs that are secure, scalable, and maintainable, primarily using Python

Work closely with researchers, security engineers, and product teammates to bring AI-driven features from concept to production

Apply best practices for authentication, authorization, encryption, and data protection throughout the stack

Integrate and optimize advanced AI/ML models within backend architectures

Monitor and improve performance, reliability, and resource efficiency to support growth

Participate in code reviews, testing, and deployment processes to maintain high standards of quality and security

Qualification

PythonCybersecurityAPI DevelopmentAI/ML IntegrationCloud InfrastructureSQL/NoSQL DatabasesSecure DeploymentDevOps PracticesCommunication Skills

Required

Degree in Computer Science, Engineering, or related field — or equivalent professional experience

3+ years of hands-on backend development in production environments

Proficiency in backend programming languages such as Python, Java, Kotlin, Node.js, or Go and experience building secure systems, APIs, and microservices

Strong understanding of security best practices, including authentication methods (OAuth, JWT), encryption, and secure API development; knowledge of common attack vectors (SQL injection, privilege escalation, DDoS) and effective mitigation strategies

Experience integrating and optimizing AI models (e.g., NLP, vision, multimodal systems) within backend services

Familiarity with SQL and NoSQL databases; experience with secure data management

Experience with cloud infrastructure (AWS, GCP) and secure deployment practices, including containerization (Docker, Kubernetes)

Experience effectively communicating complex engineering topics to both technical and non-technical stakeholders

Familiarity with modern DevOps practices, including test automation, CI/CD pipelines, and infrastructure-as-code practices

Preferred

Bring deep experience in cybersecurity, threat detection, or a related area

Thrive in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams

Enjoy tackling complex, ambiguous problems and can adapt quickly as priorities evolve

Take initiative, communicate openly, and consistently push yourself — and your team — to deliver exceptional results

Work effectively both independently and collaboratively, contributing to team goals while managing your own projects with initiative and accountability