Offensive Security Engineer

Jobgether SRL; España; Remote; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Equity options

Remote-first

Career growth

Work with AI infra

International teams

Job summary

Jobgether SRL in Spain seeks an experienced Offensive Security Engineer to simulate sophisticated attacks on cloud platforms and AI infrastructure.

You will own red team engagements, build custom tooling in Python/Go, and collaborate with blue teams to harden defenses across GPU clusters and model-serving pipelines.

Remote-first with flexible work arrangements and equity opportunities, you’ll influence security practices across a large-scale AI platform and mentor engineers.

Qualifications

• 6+ years in offensive security, red teaming or similar.
• Hands-on cloud-native attack experience with Kubernetes and virtualization.
• Ability to develop custom tooling in Python/Go and report findings clearly.

Responsibilities

• Plan and execute full-scope red team engagements across cloud compute, storage, networking, and tooling.
• Automate security validations and reduce manual analysis for high-impact scenarios.
• Produce actionable reports for technical teams and leadership.
• Collaborate with blue teams to validate detections and close gaps.
• Research novel attacks on GPU infrastructure and AI platform services.
• Develop post-exploitation capabilities to scale security testing.
• Establish and improve red team processes and operating practices.

Skills

Cloud security

Penetration testing

Red teaming

Purple team exercises

Adversary simulation

Python

Go

Kubernetes privilege escalation

Cloud IAM abuse

GPU infrastructure

Tools

Python

Go

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Offensive Security Engineer based in Spain. Join a hands-on offensive security team working at the frontier of cloud infrastructure and AI. In this role, you’ll simulate sophisticated attacks against the same systems customers rely on, helping uncover weaknesses before they can become real threats. You’ll contribute across cloud compute, storage, networking, inference, orchestration, and internal tooling while helping establish a scalable penetration testing and red team program. The role combines practical adversarial operations with security research into emerging GPU and AI infrastructure attack surfaces. You’ll work closely with detection and security engineering teams to validate defenses and turn findings into measurable improvements. With substantial technical ownership, you’ll have the opportunity to influence security practices across a rapidly evolving, large-scale AI platform.

Accountabilities

• Validate and extend Secure SDLC threat models through continuous penetration testing, assessing threat severity, mitigation status, and underlying security assumptions.
• Automate routine security validations to keep pace with a rapidly evolving platform while reserving manual analysis for complex and high-impact scenarios.
• Plan and execute full-scope red team engagements across cloud compute, storage, inference, networking, orchestration layers, and internal tooling.
• Identify attack paths capable of impacting organizational operations, customer environments, or critical platform assets.
• Collaborate with detection and response and other security engineering teams on purple team exercises, validating detection coverage and closing defensive gaps.
• Research novel attacks against GPU infrastructure, including firmware, vendor drivers, device passthrough, SR-IOV/IOMMU configurations, and RDMA/InfiniBand environments.
• Investigate vulnerabilities within inference technologies and AI platform services, including model-serving infrastructure and managed orchestration platforms.
• Assess tenant-isolation boundaries and explore potential low-level attack paths that could compromise isolation.
• Conduct targeted offensive security assessments of new products and significant infrastructure changes before they reach production.
• Develop custom offensive tooling and post-exploitation capabilities to improve the effectiveness and scalability of security testing.
• Produce clear, actionable reports for both technical teams and senior leadership, prioritizing findings and providing practical remediation guidance.
• Establish and continuously improve red team processes, tooling, methodologies, and operating practices as the platform scales.

Requirements

• 6+ years of experience in offensive security, penetration testing, red teaming, adversary simulation, or a closely related discipline.
• Deep hands-on experience attacking cloud-native environments, including Kubernetes privilege escalation, cloud IAM abuse, virtualization, and container escape techniques.
• Strong understanding of the broader attack lifecycle, including initial access, persistence, lateral movement, and data exfiltration.
• Proven ability to develop custom security tooling and post-exploitation capabilities using Python, Go, or similar programming languages.
• Experience conducting purple team exercises and collaborating constructively with blue teams and defensive security functions.
• Ability to communicate complex technical findings through clear, senior-level reports that contextualize business risk and provide actionable guidance to engineers.
• Experience with ML infrastructure, model-serving pipelines, or GPU clusters is a strong advantage.
• Reverse engineering and exploit development experience is a plus.
• Application security experience is advantageous.
• Familiarity with eBPF bypass techniques, kernel-level exploitation, vulnerability research, or CVE discovery is beneficial.
• Understanding of cloud provider internals, including hypervisor and networking layers, is a plus.
• Experience presenting security research at industry conferences such as Black Hat or DEF CON is advantageous.
• Strong problem-solving skills, curiosity, technical depth, and the ability to work independently in a rapidly evolving environment.

Benefits

• Competitive compensation with equity upside.
• Flexible, remote-first working environment.
• Opportunities for career growth, continuous learning, and professional development.
• Significant ownership and flexibility in how security challenges are approached.
• Opportunity to work on novel attack surfaces spanning GPU infrastructure, AI platforms, and large-scale multi-tenant cloud environments.
• Collaboration with highly experienced engineers working on advanced AI infrastructure.
• Opportunity to contribute directly to impactful AI and cloud security initiatives.
• International environment with talented teams across multiple regions.
• Inclusive and collaborative culture focused on innovation, trust, meaningful impact, and continuous growth.