autoscaling jobs in San Diego

Staff-level backend engineer responsible for designing and maintaining statistical capacity models that forecast infrastructure resource needs (CPU, memory, connections, ElasticCache, DynamoDB, AuroraDB) to support traffic demands during peak sales events. Sets technical strategy for the team, collaborates across product and analytics to ensure system sustainability, owns operational excellence including monitoring and on-call processes, and establishes code review and design standards.…See more Requires 8+ years building highly available distributed systems at scale using Python or Kotlin, AWS, MySQL, Spark, and Kubernetes, with proven experience scaling systems for major sales events like Prime Day and Black Friday.

Senior Platform Engineer to design, build, and operate a cloud-native compute platform on AWS and Kubernetes. You will own platform security, scalability, and evolution through strategic initiatives and migration efforts, lead incident response and troubleshooting, and provide technical leadership and mentorship.…See more Requires 8+ years in platform/SRE/infrastructure engineering with deep AWS expertise, production Kubernetes experience, hands-on CI/CD (GitHub, GitHub Actions, Argo CD), Infrastructure as Code (Terraform/CDK), Kubernetes networking knowledge, and production observability/monitoring skills.

DevOps Engineer to build, maintain, and optimize AWS cloud infrastructure and CI/CD deployment systems, working with ECS, EKS, and EC2 workloads. The role requires hands-on experience with Infrastructure as Code (Terraform), containerization (Docker/Kubernetes), monitoring tools (Grafana), and CI/CD pipelines, with growing ownership of services and systems.…See more You'll troubleshoot infrastructure and application issues, collaborate with engineering teams on deployment workflows, and apply AI tooling to improve infrastructure automation and operational efficiency. The position reports to a DevOps Manager and is based in San Diego on a hybrid schedule.

Build and optimize scalable LLM inference platforms at Qualcomm's Cloud AI team, implementing advanced serving techniques like KV-cache management, speculative algorithms, and model optimization. Contribute to production serving frameworks (vLLM, SGLang, Triton, TGI) and work with customers on deployment solutions.…See more Collaborate with compiler, firmware, and platform teams to drive efficient serving through autoscaling, load balancing, and routing. Requires deep understanding of transformer architectures, strong PyTorch and Python skills, computer architecture knowledge, and hands-on experience profiling and optimizing deep learning workloads.