Xperteez Technology Logo

Xperteez Technology

🌍 Backend Security Engineer, Remote - Contract

Posted Yesterday
Remote
Hiring Remotely in United States
Entry level
Remote
Hiring Remotely in United States
Entry level
Build and secure scalable backend services and APIs while debugging, optimizing performance, implementing features, refactoring codebases, and conducting security reviews and penetration testing. The role also involves automated testing, code review, vulnerability assessment, and contributing domain expertise to training next-generation AI systems.
The summary above was generated by AI

Job Type: Contract

Location: Remote

Schedule: Flexible, you pick the hours and days (including weekends if desired)

Required Skills:

  • Python3

  • JAVA

  • Rust

  • Algorithms

  • Basics C++

  • Typescript

  • Bug fixing

  • Feature implementation

  • Codebase refactoring

  • Performance optimization

  • Pentesting

  • Security audit

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

What we're looking for:

  • Strong backend experience in Java, Node.js, Go, Rust, Typescript, Python, C++ or similar

  • A track record building scalable services and APIs

  • Comfort with debugging, performance work and automated testing

  • Solid code review instincts

  • A cybersecurity or SecOps background is a big plus — secure coding, appsec, pentesting, vulnerability assessment, OWASP/CWE, or security-focused reviews.

Preferred Qualifications:

  • Proven experience in backend development, with a track record of delivering high-quality and performant projects.

  • Background in cybersecurity, such as penetration testing, vulnerability assessment, or security code reviews.

  • Demonstrated success in identifying and resolving software bugs and system bottlenecks.

  • Experience with codebase refactoring and implementing complex features in large-scale applications.

  • Strong understanding of algorithms, data structures, and foundational computer science concepts.

  • Excellent analytical, problem-solving, and technical communication skills.

Compensation Structure:

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.

Start Timeline & Availability:

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

Similar Jobs

6 Minutes Ago
Remote or Hybrid
193K-319K Annually
Expert/Leader
193K-319K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads complex, transformational enterprise sales pursuits from strategic discovery through closing and early customer value realization. Owns deal strategy, commercial architecture, executive engagement, cross-functional orchestration, negotiations, handoff, and outcome tracking. Develops platform transformation visions with technical consultants, creates innovative investment models, aligns internal and ecosystem partners, and codifies pursuit best practices. Requires extensive enterprise software sales, large-deal structuring, executive influence, and transformation experience.
Top Skills: Artificial Intelligence (Ai)Servicenow Platform
6 Minutes Ago
Remote or Hybrid
148K-232K Annually
Expert/Leader
148K-232K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads post-sales transformation and customer success for strategic enterprise accounts. Partners with C-level executives and internal teams to drive adoption, technical health, renewals, customer satisfaction, expansion, and measurable business outcomes. Identifies risks, establishes success metrics, develops transformation roadmaps, and guides Customer Success teams. Requires extensive experience in technology-enabled business transformation, strategic account leadership, consulting, cross-functional execution, and executive relationship management.
Top Skills: Artificial IntelligenceEnterprise SoftwareSaaSServicenow Ai Platform
6 Minutes Ago
Remote or Hybrid
193K-319K Annually
Expert/Leader
193K-319K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads transformational enterprise pursuits from strategic discovery through close and early customer value realization. Owns deal outcomes, commercial architecture, executive engagement, cross-functional orchestration, negotiation, and post-sale handoff. Develops platform transformation strategies with technical consultants, creates innovative investment structures, aligns partners and internal teams, and codifies pursuit best practices. Requires extensive enterprise software sales, complex deal structuring, executive engagement, and experience closing $50M+ contracts.
Top Skills: Artificial Intelligence (Ai)Enterprise ArchitectureHyperscalersServicenow Platform

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account