Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Engineer, Infrastructure based in Spain.
Join an innovative engineering team building the infrastructure that powers advanced AI-driven products and agent-based workflows. In this role, you will design, operate, and improve highly scalable cloud platforms that enable reliable software delivery and efficient production systems. You will work across Kubernetes, cloud architecture, security, networking, data infrastructure, and developer tooling while solving complex technical challenges in a rapidly evolving environment. This position combines hands-on software engineering with infrastructure ownership, giving you the opportunity to shape platform foundations, improve operational excellence, and directly influence how engineering teams build and deploy products. It is an ideal opportunity for an experienced infrastructure engineer who enjoys automation, solving ambiguous problems, and creating systems that scale.
Accountabilities
- Design, build, and operate reliable infrastructure platforms supporting AI-powered products and large-scale production workloads.
- Own and improve Kubernetes environments, including cluster architecture, networking, ingress, service communication, workload isolation, autoscaling, and deployment practices.
- Develop and maintain cloud infrastructure across areas such as networking, security, identity management, secrets, firewalls, content delivery, and access controls.
- Improve system reliability through enhanced observability, monitoring, alerting, incident response processes, disaster recovery planning, and resilience improvements.
- Build and optimize infrastructure automation using infrastructure-as-code, CI/CD pipelines, GitOps workflows, and reusable platform tooling.
- Investigate and resolve complex production issues across application, infrastructure, networking, and data system layers.
- Improve infrastructure efficiency through cost optimization, capacity planning, resource management, and operational improvements.
- Support scalable data systems and distributed technologies, ensuring strong performance and reliability.
- Identify architectural bottlenecks and proactively develop solutions that prepare the platform for future growth and increasing AI workloads.
- Reduce operational complexity by replacing manual processes with automated, scalable engineering solutions.
Requirements
- Strong software engineering background with experience writing and maintaining production-quality code.
- Proven experience designing, building, and operating infrastructure on major cloud platforms such as GCP, AWS, or similar environments.
- Hands-on production experience with Kubernetes and containerized infrastructure.
- Strong understanding of cloud networking and security concepts, including VPCs, IAM, load balancing, DNS, firewalls, WAFs, CDNs, and service identity.
- Experience with infrastructure-as-code tools and automated deployment systems.
- Ability to debug and solve complex issues across software applications, infrastructure components, networking layers, and distributed systems.
- Experience operating large-scale distributed technologies such as OpenSearch, Elasticsearch, PostgreSQL, or similar systems.
- Strong focus on reliability, security, developer experience, and infrastructure cost efficiency.
- Proactive mindset with the ability to identify improvements, eliminate operational complexity, and take ownership of critical systems.
- Strong engineering fundamentals, problem-solving skills, and the ability to quickly learn unfamiliar technologies.
- Experience deploying or operating large language models with serving frameworks such as vLLM or SGLang is considered an advantage.
Benefits
- Fully remote position with the flexibility to work from Europe.
- Opportunity to shape infrastructure foundations for next-generation AI-powered products.
- High level of ownership and direct impact on technical strategy and product development.
- Competitive equity package aligned with company growth and individual contribution.
- Opportunity to work alongside highly experienced AI and software engineering professionals.
- Flexible work environment focused on autonomy, trust, and results.
- Ability to contribute to meaningful projects with visible impact on users and the broader product direction.
- Culture that values engineering excellence, individual contributors, innovation, and continuous learning.
- Inclusive workplace committed to diversity and equal opportunities.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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