Software Engineer, Backend

United States·San Francisco,San Franciscomid

EngineeringOtherBackend EngineeringSoftware EngineerBackend DeveloperSoftware Engineering

5 views0 saves0 applied

Apply Now

Quick Summary

Overview

About 10a Labs: 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms.

Requirements Summary

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,…

Technical Tools

awsdockergcpgojavajavascriptkotlinkubernetespythonsqlci-cdcode-reviewcybersecuritydatabase-designmicroservicesoauthsecurity-best-practices

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

Requirements

~1 min read

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 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
Experience designing and building end-to-end backend systems, from architecture and data modeling to deployment, scaling, and monitoring

Nice to Have

~1 min read

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