event-driven-architectures jobs in San Diego

Senior Snowflake Forward Deployed Engineer who builds AI-enabled solutions and agentic platforms for enterprise clients, with 7+ years of software/data engineering experience and 1+ years of hands-on GenAI/LLM deployment. Will design and deliver production-quality code using strong testing, CI/CD, and documentation practices, lead project workstreams translating business problems into AI solutions, and mentor other engineers through design reviews and reusable component contributions.…See more Must hold or be able to obtain a US government security clearance and have current SnowPro Core Certification, with hands-on experience in Snowflake Cortex AI, LLM Functions, Agents, or Arctic Embed.

A forward-deployed engineer who builds and deploys AI/GenAI-powered solutions on Databricks and cloud platforms for forensic discovery and financial crime clients. The role requires hands-on expertise in Databricks, cloud services (AWS/Azure/GCP), and production AI/LLM systems, combined with the ability to lead client engagements, translate business requirements into technical architectures, and troubleshoot integration issues across enterprise environments.…See more You will design reusable assets, document workflows, and enable client teams to sustain delivered solutions while navigating security, compliance, and privacy reviews.

Develop scalable AI engineering patterns and production-quality code for government clients, balancing quality, safety, latency, cost, and model risk. Apply strong practices in testing, CI/CD, logging, versioning, and documentation while designing extensible functionality aligned with senior team members.…See more Requires 4+ years of software/data engineering experience, 1+ year building and deploying GenAI or LLM solutions, and 1+ year with Google Cloud (Gemini API, Vertex AI Agent Builder, Grounding, or Google Workspace integration). Lead project workstreams, translate business problems into AI solutions, and contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

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.

Cloud Engineer III providing technical leadership on cloud architecture, DevSecOps, and infrastructure across AWS, Azure, and on-premises environments. Designs and implements secure, compliant cloud solutions aligned with DoD standards (Impact Levels 4–6+, Zero Trust, RMF) and leads architecture reviews, deployment pipelines, and cross-functional technical planning.…See more Requires 10+ years of cloud architecture, platform engineering, and DevSecOps experience plus Security+ certification; will guide engineers, developers, cybersecurity teams, operators, and government stakeholders on complex infrastructure, containerization, and mission assurance.

Senior engineer at Deloitte GPS delivering production-quality code for GenAI/LLM-powered solutions, with 7+ years in software/data engineering and 1+ years hands-on experience building and deploying Claude-based applications. Responsibilities include designing extensible functionality, leading project workstreams, translating business problems into AI solutions, and contributing reusable assets (code, prompt libraries, runbooks).…See more Strong emphasis on testing, CI/CD, logging, documentation, and mentoring junior team members in fast-paced, ambiguous client delivery environments.

Cloud Engineer III responsible for designing, deploying, and sustaining secure cloud solutions across AWS, Azure, AWS GovCloud, and Azure Government environments. The role requires expertise in cloud architecture, Infrastructure as Code, DevSecOps, containerization, and Kubernetes, with a focus on mission-critical defense applications.…See more Candidates must demonstrate strong cloud networking, identity, storage, compute, and security capabilities, and communicate technical decisions to cross-functional teams including engineers, operators, cybersecurity personnel, and government stakeholders.

Design, implement, and scale core backend services and APIs using Python, Go, Node.js, or Java to support high-throughput applications. Architect and optimize relational (PostgreSQL) and NoSQL (Redis) databases, deploy containerized services on AWS/GCP using Docker and Kubernetes, and build CI/CD pipelines with comprehensive automated testing.…See more Monitor production systems, troubleshoot incidents, and collaborate cross-functionally to deliver reliable, low-latency features. Requires 3–6 years of distributed systems experience and proficiency in at least one backend language.

This role involves evolving Qualcomm's Robotic Process Automation capabilities into next-generation agentic automation solutions. The Senior Agentic Automations Engineer will design and deploy AI-driven agents, enterprise chatbots, and workflow engines, leading technical delivery across a global team while integrating RPA platforms like Automation Anywhere with containerized architectures.…See more Key responsibilities include defining automation standards, building full-stack enterprise applications, and ensuring secure integration with enterprise systems using Docker, Kubernetes, and agentic frameworks like LangGraph and n8n.

This role focuses on designing, developing, and deploying next-generation agentic automation solutions that replace and extend traditional RPA capabilities across enterprise systems. The engineer will architect AI-driven agents, chatbots, and workflow engines; lead technical delivery for a global matrixed team; and integrate platforms like Automation Anywhere with modern agentic frameworks and containerized infrastructure.…See more Success requires 7+ years in automation engineering or software development, strong proficiency in Python, Rust, and TypeScript, hands-on experience with agentic runtimes (n8n, LangGraph, Agno), and deep expertise in Docker, Kubernetes, enterprise security, and process optimization.