Vulnerability Researcher

Confisa International Group is a leading logistics and supply chain management company specializing in international trade solutions. With a mission to streamline global shipping processes, the company offers a range of services including freight forwarding, customs brokerage, and warehousing. Established in 2015, Confisa has built a strong reputation for reliability and efficiency, serving clients across various industries. Their commitment to innovation and customer satisfaction positions them as a key player in the logistics sector.

We're building AI systems that push the frontier of what software can do. As a Member of Technical Staff, Vulnerability Research, you'll operate like an internal adversary—discovering novel attack paths before anyone else does. You'll research emerging threats across AI agents, cloud infrastructure, developer platforms, and production systems, partnering closely with engineering to make our stack fundamentally more resilient. Conduct advanced offensive security research across cloud infrastructure (AWS, GCP), production services, internal tooling, and AI platforms. Design and execute realistic adversary simulations targeting identity systems, cloud control planes, supply chains, and distributed architectures. Discover and exploit vulnerabilities across proprietary applications, APIs, infrastructure-as-code, CI/CD pipelines, and AI-powered developer workflows. Research emerging attack vectors against LLMs, AI agents, retrieval systems, MCP integrations, prompt orchestration, and autonomous workflows. Reverse engineer critical services to uncover architectural weaknesses, novel exploitation techniques, and previously unknown vulnerability classes. Simulate insider and advanced persistent threat scenarios, evaluating privilege escalation, lateral movement, and defense evasion techniques across modern enterprise environments. Build custom offensive tooling, automation frameworks, fuzzers, and proof-of-concept exploits to accelerate vulnerability discovery. Partner closely with infrastructure, product, and AI engineering teams to validate fixes, improve secure-by-design practices, and raise the overall security bar. Publish internal research, document attack methodologies, and help shape long-term security strategy.

As a Member of Technical Staff, Vulnerability Researcher, you'll discover novel attack paths and research emerging threats across AI agents and cloud infrastructure.

Member of Technical Staff, Vulnerability Researcher

United States

We're building AI systems that push the frontier of what software can do. As a Member of Technical Staff, Vulnerability Research, you'll operate like an internal adversary—discovering novel attack paths before anyone else does. You'll research emerging threats across AI agents, cloud infrastructure, developer platforms, and production systems, partnering closely with engineering to make our stack fundamentally more resilient. Conduct advanced offensive security research across cloud infrastructure (AWS, GCP), production services, internal tooling, and AI platforms. Design and execute realistic adversary simulations targeting identity systems, cloud control planes, supply chains, and distributed architectures. Discover and exploit vulnerabilities across proprietary applications, APIs, infrastructure-as-code, CI/CD pipelines, and AI-powered developer workflows. Research emerging attack vectors against LLMs, AI agents, retrieval systems, MCP integrations, prompt orchestration, and autonomous workflows. Reverse engineer critical services to uncover architectural weaknesses, novel exploitation techniques, and previously unknown vulnerability classes. Simulate insider and advanced persistent threat scenarios, evaluating privilege escalation, lateral movement, and defense evasion techniques across modern enterprise environments. Build custom offensive tooling, automation frameworks, fuzzers, and proof-of-concept exploits to accelerate vulnerability discovery. Partner closely with infrastructure, product, and AI engineering teams to validate fixes, improve secure-by-design practices, and raise the overall security bar. Publish internal research, document attack methodologies, and help shape long-term security strategy.Requirements:<ul><li> Proven experience in offensive security, vulnerability research, red teaming, or exploit development.</li><li> Deep understanding of cloud security across AWS and GCP, including IAM, networking, Kubernetes, containers, and identity systems.</li><li> Strong background in application security, code auditing, reverse engineering, and vulnerability discovery.</li><li> Experience identifying weaknesses across modern software supply chains, CI/CD systems, APIs, and infrastructure automation.</li><li> Proficiency in Python, Go, Rust, C/C++, or similar languages used for security research and offensive tooling.</li><li> Strong understanding of operating system internals, networking, authentication protocols, and modern security architectures.</li><li> Ability to independently investigate ambiguous problems and develop novel attack techniques.</li><li> Excellent written communication skills with the ability to explain complex vulnerabilities to engineering teams.</li><li> Experience researching AI/LLM security, including agentic systems, prompt injection, tool abuse, indirect prompt attacks, jailbreaks, model manipulation, RAG security, or autonomous workflows.</li><li> Experience discovering zero-day vulnerabilities, developing exploits, or contributing to offensive security research.</li><li> Published CVEs, conference talks, blog posts, open-source security tooling, or participation in bug bounty programs.</li><li> Experience with macOS internals, endpoint security, virtualization, or hardware-backed security technologies.</li><li> Familiarity with fuzzing, symbolic execution, binary analysis, or compiler security.</li><li> Contributions to the broader security research community.</li></ul>Benefits:<ul><li> Base salary of $200,000 – $250,000</li><li> Equity compensation</li><li> Performance-based bonuses</li><li> Up to 100% reimbursement for health-insurance premiums</li><li> Paid time off</li><li> 401(K) plan with a company match</li><li> Additional benefits designed to support a high-performing, remote-first workforce</li></ul>

Confisa International Group

Member of Technical Staff, Vulnerability Researcher As a Member of Technical Staff, Vulnerability Researcher, you'll discover novel attack paths and research emerging threats across AI agents and cloud infrastructure. We're building AI systems that push the frontier of what software can do. As a Member of Technical Staff, Vulnerability Research, you'll operate like an internal adversary—discovering novel attack paths before anyone else does. You'll research emerging threats across AI agents, cloud infrastructure, developer platforms, and production systems, partnering closely with engineering to make our stack fundamentally more resilient. Conduct advanced offensive security research across cloud infrastructure (AWS, GCP), production services, internal tooling, and AI platforms. Design and execute realistic adversary simulations targeting identity systems, cloud control planes, supply chains, and distributed architectures. Discover and exploit vulnerabilities across proprietary applications, APIs, infrastructure-as-code, CI/CD pipelines, and AI-powered developer workflows. Research emerging attack vectors against LLMs, AI agents, retrieval systems, MCP integrations, prompt orchestration, and autonomous workflows. Reverse engineer critical services to uncover architectural weaknesses, novel exploitation techniques, and previously unknown vulnerability classes. Simulate insider and advanced persistent threat scenarios, evaluating privilege escalation, lateral movement, and defense evasion techniques across modern enterprise environments. Build custom offensive tooling, automation frameworks, fuzzers, and proof-of-concept exploits to accelerate vulnerability discovery. Partner closely with infrastructure, product, and AI engineering teams to validate fixes, improve secure-by-design practices, and raise the overall security bar. Publish internal research, document attack methodologies, and help shape long-term security strategy. Vulnerability Researcher Security Analyst Confisa International Group Logistics Supply Chain International Trade AWS GCP Python Go Rust C/C++

In this role, you'll operate like an internal adversary to enhance the security of AI systems. You'll conduct advanced offensive security research and partner closely with engineering teams.

Platform Engineer

In this role, you'll apply your cloud infrastructure and platform engineering expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world engineering input. No prior experience in AI is required—your domain knowledge and hands-on production experience are what matter. As an expert, you will create Reinforcement Learning Environments that test an AI model’s ability to design, deploy, troubleshoot, secure, scale, and recover production-grade cloud infrastructure. You will develop realistic scenarios involving distributed systems, networking, IAM, queues, durable storage, observability, rolling deployments, and disaster recovery, then build reproducible environments, deterministic validation tests, golden reference solutions, and intentionally defective variants.

As a Senior Platform Engineer, you will apply your cloud infrastructure and platform engineering expertise to help train next-generation AI systems.

Senior Platform Engineer

In this role, you'll apply your cloud infrastructure and platform engineering expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world engineering input. No prior experience in AI is required—your domain knowledge and hands-on production experience are what matter. As an expert, you will create Reinforcement Learning Environments that test an AI model’s ability to design, deploy, troubleshoot, secure, scale, and recover production-grade cloud infrastructure. You will develop realistic scenarios involving distributed systems, networking, IAM, queues, durable storage, observability, rolling deployments, and disaster recovery, then build reproducible environments, deterministic validation tests, golden reference solutions, and intentionally defective variants.Requirements:<ul><li> Senior-level cloud infrastructure, platform engineering, DevOps, systems engineering, or SRE experience, including personal ownership of a production platform.</li><li> Strong knowledge of distributed systems, scalable APIs, queues, autoscaling, durable storage, and partial-failure scenarios.</li><li> Practical experience with IAM, private networking, least-privilege access, and service-to-service security.</li><li> Experience with observability, measurable SLOs, rolling deployments, rollback strategies, and disaster recovery.</li><li> Ability to write infrastructure automation or testing tools and debug containerized environments using a relevant programming language.</li></ul>Benefits:<ul><li> Compensation is output-based; experts are paid per task that meets the project specifications.</li><li> Experts must submit a minimum of tasks per week.</li></ul>

Senior Platform Engineer As a Senior Platform Engineer, you will apply your cloud infrastructure and platform engineering expertise to help train next-generation AI systems. In this role, you'll apply your cloud infrastructure and platform engineering expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world engineering input. No prior experience in AI is required—your domain knowledge and hands-on production experience are what matter. As an expert, you will create Reinforcement Learning Environments that test an AI model’s ability to design, deploy, troubleshoot, secure, scale, and recover production-grade cloud infrastructure. You will develop realistic scenarios involving distributed systems, networking, IAM, queues, durable storage, observability, rolling deployments, and disaster recovery, then build reproducible environments, deterministic validation tests, golden reference solutions, and intentionally defective variants. Platform Engineer Engineer Confisa International Group Logistics Supply Chain International Trade Terraform OpenTofu AWS Azure GCP Kubernetes

In this role, you'll shape how AI models learn and perform through high-quality engineering input. You will create environments that test AI models' abilities in cloud infrastructure.

Software Engineer

In this role, you'll apply your cloud infrastructure and platform engineering expertise to help train next-generation AI systems.

Frontend Software Engineer

In this role, you'll apply your cloud infrastructure and platform engineering expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world engineering input. No prior experience in AI is required—your domain knowledge and hands-on production experience are what matter. As an expert, you will create Reinforcement Learning Environments that test an AI model’s ability to design, deploy, troubleshoot, secure, scale, and recover production-grade cloud infrastructure. You will develop realistic scenarios involving distributed systems, networking, IAM, queues, durable storage, observability, rolling deployments, and disaster recovery, then build reproducible environments, deterministic validation tests, golden reference solutions, and intentionally defective variants.Requirements:<ul><li> Senior-level cloud infrastructure, platform engineering, DevOps, systems engineering, or SRE experience, including personal ownership of a production platform.</li><li> Strong knowledge of distributed systems, scalable APIs, queues, autoscaling, durable storage, and partial-failure scenarios.</li><li> Practical experience with IAM, private networking, least-privilege access, and service-to-service security.</li><li> Experience with observability, measurable SLOs, rolling deployments, rollback strategies, and disaster recovery.</li><li> Ability to write infrastructure automation or testing tools and debug containerized environments using a relevant programming language.</li></ul>Benefits:<ul><li> Compensation is output-based; experts are paid per task that meets the project specifications.</li><li> The time required to complete work may vary depending on the expert’s experience and workflow.</li><li> Minimum submission requirements apply. Experts must submit a minimum of tasks per week.</li></ul>

Frontend Software Engineer In this role, you'll apply your cloud infrastructure and platform engineering expertise to help train next-generation AI systems. In this role, you'll apply your cloud infrastructure and platform engineering expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world engineering input. No prior experience in AI is required—your domain knowledge and hands-on production experience are what matter. As an expert, you will create Reinforcement Learning Environments that test an AI model’s ability to design, deploy, troubleshoot, secure, scale, and recover production-grade cloud infrastructure. You will develop realistic scenarios involving distributed systems, networking, IAM, queues, durable storage, observability, rolling deployments, and disaster recovery, then build reproducible environments, deterministic validation tests, golden reference solutions, and intentionally defective variants. Software Engineer Developer Relations (DevRel) Confisa International Group Logistics Supply Chain International Trade Terraform OpenTofu AWS Azure GCP Kubernetes

As a Frontend Software Engineer, you will create Reinforcement Learning Environments that test an AI model’s ability to design, deploy, troubleshoot, secure, scale, and recover production-grade cloud infrastructure. Your work will shape how models learn, reason, and perform through high-quality, real-world engineering input.

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