ppThis position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer (Serverless) based in Spain. This role offers the opportunity to build the next generation of AI cloud infrastructure powering advanced machine learning workloads worldwide. You will work on a high-impact serverless platform designed to help developers deploy and scale AI applications without managing complex infrastructure. As a senior engineer, you will take ownership of critical distributed systems challenges, from GPU scheduling and runtime performance to customer-facing APIs and platform reliability. Working in a highly technical environment, you will influence architecture decisions, mentor engineers, and help define engineering standards. This position is adecuado for an experienced software engineer passionate about large-scale systems, cloud technologies, and solving complex infrastructure challenges at the forefront of AI innovation. /p h3Accountabilities /h3 ul liDesign, develop, and maintain core components of a GPU-native serverless AI platform, including control planes, schedulers, runtimes, autoscaling systems, and customer-facing APIs. /li liSolve complex engineering challenges related to cold-start optimization, GPU scheduling, multi-tenant isolation, fair resource allocation, request routing, and platform scalability. /li liOwn technical architecture decisions for key platform areas by creating design documents, evaluating solutions, and aligning engineering teams around effective approaches. /li liEstablish and maintain high engineering standards through code reviews, design reviews, technical guidance, and active collaboration with team members. /li liOperate services with an SRE mindset by defining reliability objectives, improving observability, supporting incident response, and driving continuous platform improvements.



/li liCollaborate directly with customers on architecture discussions, performance optimization, and complex production issues requiring deep technical expertise. /li liPartner with product, infrastructure, and go-to-market teams to translate customer needs into scalable technical roadmaps. /li liContribute to improving platform performance, reliability, and developer experience through innovative engineering solutions. /li liSupport knowledge sharing and technical mentorship to help raise the overall engineering capability of the team. /li /ul h3Requirements /h3 ul li7+ years of professional software engineering experience with a proven track record of building and operating large-scale distributed systems. /li liStrong programming experience with Golang, or the ability and willingness to quickly become proficient in the language. /li liDeep experience with Kubernetes and container orchestration systems, including real-world operation of production environments. /li liStrong understanding of distributed systems concepts such as consistency, availability trade-offs, queueing, backpressure, retries, idempotency, and multi-tenancy. /li liExperience designing and operating high-throughput, low-latency services with a strong focus on performance optimization and reliability. /li liProven ability to take ownership of complex technical challenges, lead design discussions, unblock teams, and deliver impactful solutions.



/li liStrong software engineering fundamentals with the ability to write reliable, maintainable code and investigate complex technical problems. /li liCollaborative mindset with excellent communication skills and the ability to work effectively across engineering and business teams. /li liExperience with serverless platforms or function-as-a-service technologies such as Knative, AWS Lambda, GCP Cloud Run, Cloudflare Workers, or similar solutions is a strong advantage. /li liFamiliarity with GPU scheduling technologies, including Kubernetes device plugins, MIG, MPS, time-slicing, or NVIDIA GPU Operator, is highly desirable. /li liExperience with ML inference technologies such as vLLM, TensorRT-LLM, Triton Inference Server, SGLang, or similar platforms is a plus. /li liKnowledge of runtime optimization techniques including cold-start reduction, image streaming, checkpoint/restore, or sandboxing technologies is beneficial. /li liExperience developing Kubernetes operators using Go and frameworks such as controller-runtime or kubebuilder is advantageous. /li liContributions to open-source projects related to serverless infrastructure, scheduling, or AI inference are a plus. /li /ul h3Benefits /h3 ul liCompetitive compensation package. /li liFlexible working environment with hybrid opportunities. /li liHigh level of ownership and autonomy over technical decisions. /li liCareer development opportunities and continuous learning support. /li liOpportunity to work on impactful AI infrastructure projects shaping the future of machine learning. /li liCollaborative and innovative culture with highly skilled international teams. /li liExposure to cutting-edge technologies across cloud infrastructure, distributed systems, GPUs, and AI workloads. /li liOpportunity to contribute to ambitious projects in a fast-moving, high-growth environment. /li /ul /p #J-18808-Ljbffr

📌 Senior Software Engineer (Serverless) (España)
🏢 Jobgether
📍 España