What they offer
Full-time hours
Per the ad.
Fully remote
Per the ad.
What they ask for
Have the right to work in Spain
No sponsorship mentioned, and this kind of work is rarely sponsored in Spain.
Work in English
English is required, per the ad.
Have 3+ years of experience
Mid-level role.
The role
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data.
As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI.
We are looking for a Mid-Level Security Engineer to own the hands-on engineering and operational work within our security program. You will be embedded in the Cloud Engineering team, report into the Security Officer, and work closely together to identify risks, set priorities, and drive security issues through remediation. You will act as a security enabler across all Product & Engineering.
What you'll do
Run our public bug bounty program: triage reports, reproduce and validate findings, communicate clearly with security researchers, and drive remediation through to closure.
Investigate reported vulnerabilities at the code level, including our Rust core, Go and Python tooling.
Enable engineers to build secure systems: provide tooling, paved-road defaults, documentation, and practical guidance so security is the easy path, not a checkpoint.
Partner with engineering teams to design, review, and verify fixes, and set clear security requirements on changes where the risk warrants it.
Harden and maintain our GitHub organization’s security posture, including secret scanning, push protection, branch protection and rulesets, dependency alerts, and code scanning, in partnership with the engineering teams that use these repositories daily.
Monitor, investigate, and respond to security alerts across AWS, Kubernetes, CI/CD, and related infrastructure.
Track and report security metrics (vulnerability remediation SLAs, MTTR, patch latency, critical findings) and keep reporting current for the Security Officer.
Implement, configure, and maintain security tooling across our development and cloud environments.
Support security incident response, including investigation, containment, remediation, and follow-up.
Maintain clear, complete, and auditable records of vulnerability and incident work in our tracking systems.
Build security automation and guardrails that scale across the development lifecycle: CI/CD security checks, policy-as-code, GitHub automation, and automated cloud security controls, so secure defaults are enforced by tooling rather than review.
Participate in threat modeling and architecture reviews for new services and major changes.
We are also building out our ISMS, which creates opportunities to contribute to security-tooling evaluations, technical vendor assessments, and proof-of-concept work. Formal compliance ownership, vendor risk assessments, and customer security questionnaires remain with the Security Officer.
This is a hands-on technical role focused on security engineering, vulnerability management, and incident response. The Security Officer owns compliance, formal third-party risk assessments, and customer security questionnaires, allowing you to focus primarily on engineering work. On-call expectations are low: there is no formal rotation, though occasional availability for high-severity incidents is expected.
Requirements
What we're looking for
You can read and navigate an unfamiliar codebase (Rust, Go, Python) well enough to validate a vulnerability report, trace its impact, and judge whether a proposed fix actually closes it.
You write and maintain automation and security tooling comfortably, and can hold a credible technical conversation in code review.
Experience triaging vulnerability reports or working with a bug bounty program, vulnerability disclosure program, product security team, or similar function.
Practical knowledge of cloud and container security, particularly AWS and Kubernetes.
Familiarity with GitHub security features and securing CI/CD pipelines.
The ability to investigate alerts and vulnerabilities methodically, distinguish genuine risk from noise, and recommend proportionate remediation.
Clear written communication skills for working with external researchers and internal engineering teams.
A self-directed approach and comfort independently managing a security queue.
3+ years in a hands-on security engineering, product security, or vulnerability management role.
Nice to have
An offensive security background, such as penetration testing, CTF participation, vulnerability research, or exploit analysis.
Experience working in an open-source company or contributing security improvements to open-source projects.
Familiarity with cloud-native incident response.
Pay & benefits
What you'll get
A remote-first, international team working on cutting-edge AI infrastructure.
A competitive salary with additional perks.
Flexible working hours and async-friendly culture.
High ownership and real impact.
Open-source, engineering-driven culture.
Choose your own laptop equipment.
For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.
About Qdrant
Qdrant is an AI infrastructure company that develops a high-performance vector similarity search engine and database, purpose-built for large-scale neural network and machine learning applications. The company's open-source vector database is used by enterprises to power semantic search, recommendation systems, and AI agent memory, with a strong focus on performance, reliability, and scalability. Qdrant operates globally with a distributed team and serves a growing customer base across industries that are deploying AI at scale.
Qdrant has a growing presence in Spain, with a dedicated team covering the EMEA region from its Spanish hub. The company's culture is remote-first and engineering-driven, attracting international talent in software engineering, cloud infrastructure, and developer relations. For international professionals, Qdrant offers a fast-paced, English-speaking environment with a strong emphasis on open-source contribution and direct impact on cutting-edge AI infrastructure, making it an attractive option for those looking to work in Spain while staying connected to the global AI ecosystem.
- Industry
- AI Infrastructure
- Founded
- 2019
- Employees
- 50–200
- Headquarters
- Berlin, Germany
- In Spain
- Madrid
- Website
- qdrant.tech
Good to know if you are moving
- Remote-first culture: Qdrant operates with a distributed, remote-first team, so you can work from Spain while collaborating with colleagues across Europe and the world.
- English is the working language, and the team is highly international, making it easy for non-Spanish speakers to integrate.
- The Spanish office focuses on EMEA customers, offering a chance to work on real-world AI infrastructure deployments for major European enterprises.
- The company is at the forefront of the AI/LLM boom, providing the vector database layer for many well-known AI applications.
- Qdrant is an open-source company, so engineers get to work in the open and contribute to a widely adopted project.
In their own words
Additional information
Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist.
Come build with us!
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