cloud-native jobs in San Diego

Director of Engineering Program/Project Management responsible for owning the Pyxis Logistics product portfolio strategy, roadmap, and execution across legacy and next-generation cloud platforms. Lead cloud transformation initiatives including modern development practices (Agile, DevSecOps, CI/CD), architecture, cybersecurity, and SaaS operations.…See more Own program success (scope, budget, schedule, quality, risk), manage cross-functional teams across R&D, Product, Quality, Regulatory, Operations, and Commercial, and balance sustaining engineering with new product development and strategic cloud migration.

This is a hands-on Solution Architect role for an AI-enabled Managed Services team, requiring deep technical expertise in designing end-to-end application architectures spanning UI, APIs, services, data, and AI components. The role combines hands-on coding and prototyping with architecture ownership, emphasizing active participation in codebases, AI tool evaluation, and guiding engineering teams through complex technical decisions.…See more Key responsibilities include designing reference architectures for AI patterns (RAG, vector search, prompt orchestration), defining non-functional requirements (performance, reliability, security), architecting CI/CD pipelines, and ensuring production readiness. The ideal candidate has 8+ years of software engineering experience, strong cloud-native and modern application architecture knowledge, practical AI feature development, and comfort working directly in code and infrastructure.

As a Software Engineer on the Platform Engineering team, you will architect and deliver cloud-native developer platforms and services that power ResMed's digital health ecosystem. You'll own the full lifecycle from design through production operations, building observability and reliability into services while participating in 24/7 on-call incident management.…See more The role requires strong fundamentals in at least one programming language (Java, Python, Go, TypeScript, JavaScript, React), hands-on experience with AWS and cloud-native technologies (Kubernetes, Docker, serverless), and a developer-first mindset focused on improving tooling and automation for internal engineering teams.

This Staff AI Engineer role focuses on architecting and implementing secure, scalable frameworks for autonomous AI agents at enterprise scale. The engineer will lead the technical roadmap for agent management—from provisioning and orchestration to compliance and retirement—while ensuring AI agents are secure by design with built-in visibility and guardrails.…See more The role requires 8+ years of software architecture and backend systems experience, deep knowledge of autonomous agent frameworks (LangChain, AutoGen, CrewAI), and expertise in cloud infrastructure (AWS, Azure, GCP) and Kubernetes. You'll collaborate cross-functionally with researchers, platform engineers, and product teams to bring agentic AI capabilities to production while establishing best practices for agent safety, observability, and ethical deployment.

Design, build, test, and operate production ML and LLM-powered components for cybersecurity applications at scale. You will turn ambiguous requirements into working code, partner across product and security teams, and apply AI safety and guardrail practices.…See more The role requires solid software engineering fundamentals, hands-on experience building production ML/LLM applications (RAG, embeddings, agents), and the ability to take prototypes to reliable, maintainable systems. You'll work with distributed systems, cloud-native technologies, and graph/data plumbing while contributing to code reviews and raising team quality standards.

Shield AI seeks an experienced SRE Lead to establish and mature reliability practices across Hivemind's cloud infrastructure and platform services. This hands-on technical role involves defining SLIs/SLOs, building monitoring and alerting systems, leading incident response, and driving root-cause analysis.…See more The SRE Lead will mentor teams, develop operational tooling in Python or Go, and partner with product and cloud engineering teams to embed reliability-first practices into system design and infrastructure provisioning.

A Senior Solutions Architect role focused on security observability and developer tooling ISVs, responsible for owning technical relationships with customers and guiding them through cloud adoption on AWS. You'll participate in deep architectural discussions, design cloud-native reference architectures for data and analytics use cases, and drive adoption of AWS services within customer platforms.…See more The role involves technical advocacy, strategic guidance on leveraging AWS technologies, authoring technical publications, and building relationships with senior technical stakeholders to establish them as cloud advocates.

Senior Software Engineer role building scalable backend services and user-facing features for sleep health diagnostics workflows at an early-stage product team. The role emphasizes hands-on delivery, code quality, system design ownership, and production responsibility including monitoring and on-call support.…See more You will collaborate across Product, Design, and engineering teams while practicing AI-native development methodology using tools like Copilot and Claude. Requires 5+ years of backend engineering experience (Java/Spring Boot preferred), distributed systems knowledge, cloud deployment experience (AWS, Azure, or GCP), and comfort in enterprise environments with CI/CD and compliance controls.

Lead a team of engineering managers and software engineers building distributed agentic systems and AI-powered developer platforms at ServiceNow. You'll drive technical strategy for highly scalable, fault-tolerant systems; mentor teams; and architect foundational capabilities that improve developer experience for AI-first development.…See more This role requires 8+ years of software engineering experience with proven distributed systems expertise, 3+ years managing high-performing teams, and deep hands-on knowledge of Node.js, TypeScript, Kubernetes, and cloud-native infrastructure.

As a Staff AI Engineer, you will lead the design and evolution of Teradata's enterprise AI platforms, owning architecture decisions for agentic AI, LLM systems, RAG pipelines, and vector stores. You will operate with high autonomy, partner with product and architecture leadership, and drive technical strategy across multiple engineering teams.…See more The role requires 8+ years building backend services, distributed systems, or data/AI platforms, with strong proficiency in Java, Go, or Python and deep expertise in distributed system design, cloud-native architectures, and production AI systems. You will also mentor senior engineers, establish engineering standards, and serve as a technical escalation point for complex system design and reliability challenges.

LPL Financial seeks a Senior Full Stack Software Engineer with 7+ years of experience designing and developing complex systems using .NET, C#, Angular, and AWS. The role involves building scalable, cloud-native web applications and services for advisor self-service platforms, with responsibilities spanning end-to-end solution design, API development, database optimization (PostgreSQL/SQL Server), and collaboration across architecture, product, DevOps, and QA teams.…See more The engineer will own code quality, apply software engineering best practices, and support platform modernization initiatives.

Senior Staff Engineer responsible for designing and building an MLOps platform that supports distributed AI training, reinforcement learning, and foundation model development at scale. You will architect Kubernetes-native infrastructure for GPU workloads, design self-service AI development workflows, manage the data and model lifecycle, and lead platform distribution across cloud, on-premises, and air-gapped environments.…See more The role requires deep expertise in modern AI frameworks (PyTorch, Hugging Face Transformers), distributed systems, GPU scheduling, and cloud-native infrastructure, with a focus on enabling researchers and engineers to move from experimentation to production rapidly.

A Platform Engineer role focused on deploying, managing, and optimizing critical infrastructure for defense and government clients. Responsibilities include implementing system automation with Ansible and Puppet across RHEL and Windows platforms, deploying and maintaining Kubernetes clusters with RKE2 and Rancher, and managing open-source applications (NiFi, Kafka, Zookeeper, MinIO, Keycloak, Longhorn, Grafana, Prometheus, Loki, Promtail, GitLab).…See more The role requires 7+ years of hands-on enterprise Linux and Windows systems management, strong troubleshooting skills in distributed environments, and an active Top Secret/SCI clearance.

As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on scalable, marketplace-ready platforms across the Software Development Lifecycle. You'll develop high-quality backend services and APIs, integrate AI/ML technologies including LLMs and agentic AI, and collaborate with cross-functional teams on Teradata's AI platform.…See more The role requires 5+ years of experience in backend services, distributed systems, or data platforms, with strong proficiency in Java, Go, or Python, and hands-on expertise in RESTful APIs, SQL/NoSQL databases, Kubernetes, and cloud platforms. You will also mentor engineers and stay current with emerging AI/ML and cloud-native technologies.

Design, build, and operate cloud-native platform features and services with hands-on engineering focused on Kubernetes, distributed systems, and infrastructure automation. Deliver well-defined work iteratively from implementation through production, contributing to reliability, scalability, and operability through testing, instrumentation, and on-call participation.…See more Collaborate with senior engineers on platform standards while mentoring junior team members. Requires 5+ years of software development experience (or equivalent), production experience with Kubernetes, exposure to at least one major hyperscaler (AWS, Azure, GCP), and proficiency in Go or another systems language.

Staff-level frontend engineer leading the Identity team to build next-generation authentication systems across MailChimp and QuickBooks. You will architect and develop Kubernetes-based services, design hosted authoring and administrative UIs, mentor engineers, and drive technical decisions across the full SDLC.…See more Requires 8+ years building enterprise cloud-native applications, strong React/JavaScript and Python skills, microservices and API design expertise (REST, GraphQL), and proven leadership in cross-functional environments.