event-driven-architecture jobs in San Diego

Lead Forward Deployed Engineer responsible for architecting and delivering LLM-enabled applications (copilots, agentic workflows, assistants) using enterprise AI platforms like Claude, Gemini, or GPT-4o. Drive end-to-end RAG pipeline design, prompt engineering, evaluation frameworks, and data foundations while mentoring junior engineers and enforcing delivery standards across multi-pod engagements.…See more Require 7+ years software/data engineering experience, 1+ year hands-on GenAI/LLM production deployment, and proven ability to lead project workstreams and translate business problems into AI solutions.

This role blends technical presales engineering with hands-on delivery for Deloitte's banking and fintech clients. You'll serve as the technical point of contact for strategic accounts, leading discovery and design sessions, building POCs and demos, and facilitating workshops to help clients adopt cloud-native, event-driven, and AI-powered architectures.…See more You'll need deep Java/Spring Boot expertise, strong microservices and event-driven architecture knowledge (Kafka, CQRS, async patterns), hands-on multi-cloud experience (AWS primary, Azure/GCP secondary), and familiarity with LLM integration and agentic AI frameworks. The role demands you translate between technical stakeholders and executives, own the customer voice back to the product team, and travel 20–30% to client sites.

Lead end-to-end technical architecture for complex PIM, PXM, and commerce SaaS implementations, translating business requirements into scalable solution architectures. Design data models, integration patterns, and system landscapes across PIM, DAM, ERP, and commerce platforms, with hands-on technical leadership to delivery teams on configuration, custom development, and integration.…See more Own technical integration strategy using APIs, services, and event-driven patterns; act as technical authority for risk identification and architectural decisions. Stay current on Agentic Commerce and GenAI trends to automate product content supply chains and drive AEO/GEO strategies for LLM syndication.

Forward Deployed Engineer who embeds with clients to identify business needs and translate high-value GenAI use cases into production solutions. Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms, delivering production-quality code with strong testing, CI/CD, logging, and documentation practices.…See more Lead working sessions, prototype solutions, and mentor team members while balancing architecture decisions around quality, safety, latency, cost, and model risk. Requires 3+ years software/data engineering experience, 1+ years hands-on GenAI/LLM deployment, and 1+ years with Microsoft AI & Data (Azure AI Foundry).

Senior forward-deployed engineer at Deloitte GPS responsible for developing scalable AI engineering patterns and production-quality GenAI/LLM solutions for government clients. Must have 7+ years software/data engineering experience, 1+ years hands-on with Palantir (Foundry, AIP, or Maven), and 1+ years building and deploying LLM-powered solutions in production.…See more Role emphasizes architecture balancing quality, safety, latency, cost, and model risk; delivering well-tested, documented code with strong CI/CD practices; and translating business problems into AI solutions while leading technical workstreams.

The Solution Architect I designs and documents cloud-native solutions using Azure and .NET, bridging business requirements with technical execution. This early-career role partners with engineering, product, and DevOps teams to translate needs into scalable, secure architectures while guiding implementation.…See more Responsibilities include creating architecture artifacts (diagrams, ADRs, specifications), applying modern patterns (API-first, event-driven, agentic AI), and ensuring solutions meet reliability, observability, security, and cost goals. Required: 3–5 years in software development or systems engineering, hands-on Azure and .NET experience, understanding of DevOps/CI/CD and observability principles.

A forward-deployed engineer who embeds with enterprise clients to identify business needs and build production-grade AI solutions using Palantir platforms (Foundry, AIP, Maven). The role combines solution engineering—developing agentic AI systems, LLM-powered workflows, and scalable patterns with strong testing and CI/CD practices—with client engagement and stakeholder alignment.…See more Requires 3+ years of software/data engineering experience, 1+ years of hands-on GenAI/LLM deployment, and 1+ years working with Palantir; involves 50% travel and mentoring of junior team members.

Enterprise Architect Director responsible for defining strategic architecture direction across core enterprise platforms (ERP, CRM, PLM, SCM, quality, laboratory, financial systems) and establishing enterprise-wide integration, API, data, cloud, security, and AI architecture standards. The role requires 12+ years of progressive IT experience with 8+ years in enterprise architecture, strong expertise in integration patterns, modern data platforms, public cloud (AWS/Azure), AI/generative AI, and proven leadership on complex portfolio rationalization and M&A programs.…See more This position influences executive leadership on technology strategy, manages architecture practice budgets and resources, and ensures compliance with GxP, 21 CFR Part 11, and GAMP 5 requirements.

This is a 10-week summer internship where students will work with senior architects to design cloud and AI solutions for San Diego County services. Interns will create system diagrams, architecture patterns, and AWS-based designs under the AI-DLC framework, learning how enterprise systems are architected before implementation.…See more The role requires understanding of software design and cloud computing fundamentals, with the ability to create technical diagrams and explain design decisions.

Design, develop, and deliver software capabilities across the full delivery pipeline—from design through automated testing to production deployment—for secure, mission-critical DoD systems. Code in Python, Java, C#, Go, or C++; implement modern architectural patterns (Microservices, Event-Driven, Serverless); and apply DevSecOps principles with automated security testing (SAST, DAST, SCA, container scanners) as CI/CD quality gates.…See more Requires 5+ years of Agile software development, 2+ years of DevSecOps in regulated government/DoD environments, and 2+ years working with resilient architectures in DDIL and afloat/ashore PaaS environments including Cross-Domain Solutions integration.

Design, develop, and deliver software capabilities across the full delivery pipeline—from design through automated testing to production deployment—for secure, mission-critical DoD systems. Code in Python, Java, C#, Go, or C++, implement modern architectural patterns (Microservices, Event-Driven, Serverless), and manage Git-based workflows.…See more Participate in end-to-end delivery using Agile frameworks (Scrum, Kanban, SAFe) to Kubernetes, cloud, or virtualized environments. Apply DevSecOps principles, configuring automated security testing tools (SAST, DAST, SCA, container scanners) as CI/CD quality gates in regulated government/DoD environments, and maintain resilient architectures for DDIL and PaaS platforms with Cross-Domain Solutions integration.

Cloud Engineer III will design, deploy, and sustain secure cloud solutions across AWS, Azure, and government cloud environments (GovCloud, Azure Government) for mission-critical defense applications. The role requires deep expertise in cloud architecture, distributed systems, Infrastructure as Code, CI/CD pipelines, DevSecOps, containerization (Docker, Kubernetes), and cloud-native patterns.…See more You will work across cross-functional teams including engineers, cybersecurity personnel, and government stakeholders to architect hybrid cloud, edge-to-cloud, and enterprise platform solutions meeting DoD compliance standards (Impact Levels, Zero Trust, RMF, STIGs). Responsibilities include automating infrastructure, configuring security controls, managing cloud networking and identity, and communicating technical decisions and risks to technical and executive audiences.

Lead the support, maintenance, and enhancement of a cloud-hosted Master Data Management (MDM) application built on .NET technologies. Design, develop, and support REST APIs, reusable services, and enterprise integrations between MDM platforms and systems like Salesforce and ERP.…See more Provide L2/L3 production support, troubleshoot issues, perform root cause analysis, and drive timely resolution. Manage cloud-native solutions on AWS, oversee CI/CD processes, mentor developers, and establish technical best practices across the MDM ecosystem.

Senior Data Architect with 15+ years of experience designing and implementing enterprise data platforms that support modern AI/ML and Generative AI applications. Must have strong hands-on expertise in ETL/ELT, Python, SQL, and enterprise data warehousing, with production experience in Treasure Data, real-time analytics, streaming pipelines (Apache Kafka), and AI-ready data architectures including RAG, vector databases, and LLM integrations (LangChain, LangGraph, Azure OpenAI, AWS Bedrock).…See more Will design batch and real-time enterprise data architectures on cloud platforms (AWS, Azure, GCP, Snowflake, Databricks) with CDC/Debezium incremental processing capabilities.

Staff Engineer who will design, build, and operate the Forge Platform—a distributed-systems foundation serving autonomy, ML Ops, simulation, and application teams. You will own architecture and technical standards for workflow orchestration, asynchronous processing, event-driven systems, and long-running service workflows while remaining hands-on in implementation, production troubleshooting, and reliability improvement.…See more Required: strong production experience with distributed systems, cloud-native platforms, or backend infrastructure; fluency in Go and Python; deep understanding of failure handling, consistency, fault tolerance, and state management; and ability to turn recurring infrastructure needs into reusable platform capabilities. You will work across Kubernetes, service networking, observability, and data pipelines to enable downstream teams to move faster on mission-critical systems.

Computer Programmer III will design, develop, and deploy software in highly regulated DoD DevSecOps environments using modern Agile practices (Scrum, Kanban, SAFe) and contemporary architecture patterns (microservices, event-driven, serverless). The role requires hands-on coding in Python, Java, C, Go, or C++; proficiency with containerized deployment on Kubernetes and cloud platforms (AWS, Azure, GCP); and demonstrated expertise implementing security gates, vulnerability scanning, and compliance automation for denied/disrupted operational environments.…See more Candidates must have 5+ years software development experience, 2+ years applying DevSecOps in government/DoD settings, and proven ability to build resilient, offline-first architectures for bandwidth-constrained naval systems.

Software engineer responsible for the full software development lifecycle in a maritime cybersecurity environment, from requirements gathering through deployment. Design and develop scalable, distributed applications using Java, C#, Python, C++, and serverless architecture while applying cryptography, network security, endpoint security, and computer network defense principles.…See more Write clean, well-documented code; test and debug applications; and collaborate with security specialists, clients, and technical stakeholders to deliver defensive capabilities and situational awareness tools.

Staff Engineer responsible for designing, building, and operating the Forge Platform—a distributed-systems foundation serving autonomy, ML, simulation, and test teams. You will architect cloud-native backend infrastructure, establish reusable platform capabilities, define technical standards, and remain hands-on in production troubleshooting, performance analysis, and reliability improvement.…See more Required: deep expertise in production distributed systems, Go and Python, workflow orchestration, and the ability to translate complex architecture into usable interfaces across multiple downstream teams.

Entry-level backend software engineer role building cloud-native microservices for Qualcomm's Compute Sentra SaaS platform, which powers device management and IoT security. You will implement REST APIs, event listeners, and data models; write tested code; participate in code reviews; and troubleshoot services in cloud environments.…See more The role emphasizes learning modern development practices, including AI-assisted coding tools, alongside experienced engineers.

Sr. Staff IT Enterprise Architect will define integration standards and architectural decision frameworks across AppFolio's platforms (MuleSoft, AWS, Workato), promoting API-first and event-driven design.…See more The role partners with engineering teams to advance observability, reliability, and modern integration practices, while advising on AI-enabled capabilities and emerging technologies. Requires 10+ years of software engineering or integration architecture leadership with 8+ years designing enterprise integration solutions, hands-on platform experience, and demonstrated ability to influence across cross-functional teams without direct authority.

Senior Software Engineer role focused on building scalable payment infrastructure and banking integrations. Responsibilities include designing and implementing core platform services and APIs, building secure integrations with financial institutions, ensuring high availability and system reliability, and collaborating across teams on fintech solutions.…See more Requires 5+ years of backend systems experience with strong proficiency in Java, Spring, Kubernetes, microservices architecture, and cloud platforms (AWS, GCP, or Azure), plus understanding of payments processing, financial compliance, and security best practices.

Incedo seeks a .NET Architect with 12–18 years of IT experience to lead enterprise-scale digital banking solutions on AWS. The role requires designing cloud-native, microservices-based architectures using .NET Core/.NET 6+, establishing architecture standards, conducting code and design reviews, and ensuring compliance with banking regulations.…See more The candidate must hold an AWS Solutions Architect certification, mentor engineering teams, and drive CI/CD, DevOps, and observability best practices across mission-critical applications.

Software Developer III will design, develop, test, integrate, and deploy software for the Application Arsenal platform, translating user stories and operational requirements into secure, maintainable solutions. The role requires hands-on coding in languages like Python, Java, C#, Go, or C++; implementing modern architectural patterns (microservices, event-driven, serverless); and managing the complete software delivery lifecycle including CI/CD pipelines, automated security testing (SAST, DAST, SCA), and containerization.…See more The developer will support Kubernetes and cloud deployments, troubleshoot issues across laboratory and operational environments, and collaborate with systems engineers, cybersecurity teams, and government stakeholders. An active Top Secret or TS/SCI clearance with Tier 5 investigation, Security+ certification, and minimum 5 years of Agile software development experience are required.

Design and build AI agents and full-stack web applications that automate enterprise workflows, with expertise in agentic AI frameworks, LLM orchestration, and generative AI integration. Architect a multi-agent platform enabling PM and engineering agents to exchange plans and context, while developing backend services in C#/.NET/Python/TypeScript and modern Angular/React frontends that connect to enterprise systems like Jira, Microsoft 365, and SQL/NoSQL databases.…See more Define agentic engineering standards including tool contracts, prompt management, guardrails, and agent evaluation. Requires hands-on experience with LLM application development, RAG, tool calling, prompt engineering, agentic runtimes (LangGraph, AutoGen, n8n), and full-stack enterprise application development on AWS or Azure.

Design and build AI agents that automate workflows within a multi-agent platform, enabling PM and engineering agents to exchange plans and context over shared program data. Develop full-stack web applications with generative AI functionality—conversational interfaces, natural-language querying, automated summarization, and in-context recommendations—using C#, .NET, Python, TypeScript, Angular/React, and integrations with Jira, Microsoft 365, Confluence, and SQL/NoSQL stores.…See more Define agentic engineering standards including tool contracts, MCP servers, prompt management, memory, guardrails, human-in-the-loop approval, and evaluation harnesses. Requires hands-on experience with LLM application development, agentic runtimes like LangGraph or AutoGen, full-stack enterprise development, and cloud deployment on AWS or Azure.