Remote APIs Developer Jobs

Requirements

• 3+ years leading full-stack engineering teams
• 5+ years of strong full-stack software engineering experience
• Deep expertise across AWS, Kubernetes, backend services, APIs, databases, and modern frontend/UI development
• Strong backend skills in Python, Node.js, Go, or similar languages
• Proven track record owning complex product domains from initial design through production and ongoing evolution

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity related field or equivalent certifications along with work experience.
• 3+ years of experience in application security, cloud security, or platform security engineering.
• Hands-on experience securing distributed systems or cloud-native applications (Kubernetes, APIs, microservices).
• Experience designing and implementing authentication, authorization, and data protection controls.
• Strong programming/scripting skills (Python, Go, or similar) for building security tooling and automation.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Conhecimento em segurança da informação
• Desenvolvimento de software
• Infraestrutura
• Noções de APIs
• Autenticação
• Autorização
• Análise básica de eventos
• Conhecimento em pelo menos uma linguagem de programação

Benefits

• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Flexible Hours
• Gym Membership
• Home Office Budget
• Internet Stipend

Skills

Requirements

• Perform technical security testing and reviews of AI-enabled applications, agents, and workflows
• Implement approved security architecture patterns for AI, ML, and LLM systems
• Engineer secure inference paths, APIs, service identities, authentication flows, and segmentation boundaries
• Implement technical safeguards to mitigate prompt injection, unauthorized context expansion, data leakage, hallucination risk, and unsafe output handling
• Configure and maintain controls for limiting, monitoring, logging, and managing AI usage across platforms, models, and agents

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work
• Training Budget

Skills

Requirements

• Strong understanding of adversarial machine learning
• Experience red teaming LLM or AI systems
• Deep familiarity with AI deployment architectures
• Strong Python proficiency
• Enterprise Security & Governance Fluency

Benefits

• Life Insurance

Skills

Requirements

• Strong understanding of adversarial machine learning
• Experience red teaming LLM or AI systems
• Deep familiarity with AI deployment architectures
• Strong Python proficiency
• Enterprise Security & Governance Fluency

Benefits

• Life Insurance

Skills

Requirements

• Strong understanding of adversarial machine learning
• Experience red teaming LLM or AI systems
• Deep familiarity with AI deployment architectures
• Strong Python proficiency
• Enterprise Security & Governance Fluency

Benefits

• Life Insurance

Skills

Requirements

• Strong understanding of adversarial machine learning
• Experience red teaming LLM or AI systems
• Deep familiarity with AI deployment architectures
• Strong Python proficiency
• Enterprise Security & Governance Fluency

Benefits

• Life Insurance

Skills

Requirements

• Strong understanding of adversarial machine learning
• Experience red teaming LLM or AI systems
• Deep familiarity with AI deployment architectures
• Strong Python proficiency
• Enterprise Security & Governance Fluency

Benefits

• Life Insurance

Skills

Requirements

• Strong understanding of adversarial machine learning
• Experience red teaming LLM or AI systems
• Deep familiarity with AI deployment architectures
• Strong Python proficiency
• Enterprise Security & Governance Fluency

Benefits

• Life Insurance

Skills

Requirements

• 8+ years of professional experience in security, technology, or engineering
• Experience designing, implementing, and operating AI enabled and automation solutions end-to-end
• Comfortable building new capabilities and operating in evolving environments
• Able to navigate ambiguity and help define direction in partnership with leaders and teams
• Collaborative, consultative problem-solver who can navigate ambiguity, build alignment, and deliver results across multiple teams

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work
• Training Budget

Skills

Requirements

• Define and implement security controls and guardrails for the use of AI tools
• Design and implement AI gateway controls to manage and monitor access to external and internal AI systems
• Conduct red teaming and adversarial testing focused on enterprise AI usage
• Develop and enforce controls to prevent sensitive data leakage through AI systems
• Integrate AI security into existing enterprise security layers

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Flexible Hours
• Remote Work
• Wellness Programs

Skills

Requirements

• Own and resolve the highest-severity technical escalations
• Troubleshoot and resolve complex issues across Zscaler cloud security services
• Investigate and resolve scenarios related to the secure use of AI models
• Perform detailed log, telemetry, and packet-level analysis
• Drive cross-functional collaboration with Engineering, Cloud Ops, and Product Management
• Create advanced troubleshooting documentation
• Act as a technical mentor to uplift support capability

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Disability Insurance
• Employee Assistance Program

Skills

Requirements

• People Leadership
• Technology Leadership
• Engineering Delivery
• Quality and Practices
• Agile Ways of Working
• Company Values
• Technical Detail
• Mentorship

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus

Skills

Requirements

• Define secure architecture patterns for AI and machine learning solutions
• Establish secure integration patterns for AI services across enterprise applications
• Review AI solution designs to ensure alignment with enterprise security architecture standards
• Support implementation of secure controls across AI development, testing, deployment, and production environments
• Identify, assess, and mitigate AI-specific threats
• Establish controls to protect sensitive training data, embeddings, prompts, and inference outputs across AI workflows

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work
• Training Budget

Skills

Requirements

• Active Top Secret (TS) clearance with SCI eligibility
• Bachelor’s degree in Computer Science, Data Science, or related field
• Experience with AI governance frameworks and compliance
• Strong understanding of system engineering and cybersecurity principles
• Ability to work in a fast-paced environment and prioritize multiple tasks
• Excellent communication and collaboration skills
• Experience with cloud computing and API design

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Design, implement, and maintain security controls to protect AI/ML systems, models, and data pipelines from internal and external threats.
• Conduct threat modeling, vulnerability assessments, and penetration testing specifically targeting AI infrastructure and machine learning workflows.
• Secure model training, deployment, and inference environments, including APIs, cloud platforms, and data storage systems.
• Monitor AI systems for anomalies, adversarial attacks, model abuse, data poisoning, and unauthorized access.
• Collaborate with engineering, DevOps, and data science teams to integrate security best practices into the AI/ML development lifecycle (Secure AI SDLC).

Benefits

• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work
• Remote Work Stipend
• Training Budget

Skills