api-design jobs in San Diego

Solution Architect role designing end-to-end digital and AI product architectures for supply chain and managed services. Translates business requirements into scalable technical designs, defines enterprise system integrations and API strategies, and evaluates technology trade-offs across cost, speed, risk, and scalability.…See more Requires 7+ years in solution/systems architecture and 3+ years solutioning API integrations; preferred experience includes AI, machine learning, analytics, cloud-native architectures, and data governance.

Lead a world-class Mobile Platform Engineering organization at ServiceNow, owning the technical roadmap for enterprise mobile capabilities across iOS and Android. You will hire and mentor exceptional mobile and AI talent, establish reusable frameworks and SDKs, architect enterprise mobile experiences for offline-first and low-connectivity environments, and drive reliability, security, and performance standards.…See more This role requires 12+ years of software engineering with significant mobile leadership experience, deep technical knowledge of mobile architecture, APIs, distributed systems, and cloud-native services, plus hands-on experience building or integrating generative AI and LLM-powered features into mobile applications.

Staff-level mobile software engineer responsible for designing, developing, and implementing embedded Android software modules and systems across the full Android stack, core platform, and SDKs. Will lead complex technical projects involving multiple engineers, perform code reviews, debug and optimize performance, and collaborate with hardware and systems teams.…See more Requires 4+ years of software engineering experience with proficiency in modern languages (C++, Java, Rust, or Python) and strong understanding of OS concepts, ARM architecture, mobile SoC design, and mobile memory management.

Serve as a forward-deployed technical engineer for banking clients, acting as the primary technical point of contact and architect advisor. Design and prototype scalable microservices and cloud-native solutions, conduct discovery sessions and deep-dive technical workshops, and build production-ready POCs that demonstrate platform value.…See more Translate complex architectures and emerging AI/ML patterns into clear guidance for both technical and non-technical stakeholders, while gathering customer feedback to inform product strategy. Requires 5+ years of software engineering with significant client-facing experience, deep expertise in Java, Spring Boot, microservices architecture, multi-cloud deployment (AWS primary), Kafka-based event-driven systems, and hands-on knowledge of LLM integration and agentic AI frameworks.

Lead a client-facing solutions engineering role focused on data products and AI/ML integration within financial services. You'll conduct discovery sessions, translate complex architectures into clear narratives, and work hands-on with implementation teams to structure, configure, and publish data products using SQL, Python, and cloud platforms.…See more You'll enable client teams to self-serve data product creation, run training and office hours, and surface product gaps and feature requests back to internal teams while managing multiple concurrent client engagements.

Senior manager role leading OSS (Operations Support Systems) reinvention and modernization for telecommunications service providers. Combines telecom and OSS architecture expertise with AI, automation, and consulting leadership to help clients transition toward autonomous network operations.…See more Responsibilities span strategy, solution architecture, and implementation across service inventory, fulfillment, provisioning, assurance, fault management, and network automation. Requires 10+ years in telecommunications or technology consulting with deep hands-on experience in OSS platforms (Amdocs, Netcracker, Ericsson, Nokia, etc.) and strong knowledge of AI/ML, cloud-native architectures, and TM Forum frameworks.

Backend Software Engineer II will design and implement APIs and microservices for Affirm's checkout platform, focusing on financial products that provide accessibility and flexibility to users. The role involves owning checkout system components, improving system performance and reliability, and collaborating across teams to build the next generation of the platform.…See more You will work with Python, Kotlin, Redis, MySQL, and AWS in a fast-paced environment, balancing new feature development with system health and engineering standards.

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.

Senior Software Engineer responsible for integrating autonomous systems into Shield AI's platform, working across multiple engineering disciplines to ensure seamless operation of autonomy components. The role involves architecting integration solutions, collaborating with autonomy, platform, and infrastructure teams, and maintaining system reliability at scale.…See more Requires expertise in software architecture, system design, and hands-on development of integration layers and interfaces.

Design, build, and operate production-quality agentic AI systems and developer tooling at scale. Lead multi-agent orchestration, Model Context Protocol (MCP) integration, prompt engineering for structured output, and CI/CD automation for code review and testing.…See more Partner with engineering teams on discovery, rapidly prototype and validate capabilities, then own the full lifecycle from implementation through production monitoring. Mentor engineers on agentic design patterns and communicate technical tradeoffs to stakeholders.

Build production AI features and workflows powered by large language models, including retrieval-augmented generation (RAG), agentic orchestration, and tool/function calling integrations. You will design and implement scalable microservices in Python or Java that connect foundation model APIs to business data and internal systems, with responsibility for AI quality, evaluation, observability, and safe deployment on AWS.…See more Collaborate with cross-functional teams to prototype solutions, measure outcomes, and move proven capabilities into production while maintaining reliability, security, and auditability.

Senior Software Engineer responsible for designing and communicating architectural decisions across technical and non-technical teams at a healthcare technology company. Will reduce technical debt, improve developer experience, provide code and design reviews, and mentor engineers in AI-enabled development practices.…See more Requires 8+ years of software engineering experience with strong fundamentals in production systems, APIs, distributed systems, cloud-native applications, CI/CD, and observability. Should demonstrate leadership in technical initiatives, influence without formal authority, and hands-on proficiency with AI-assisted development tools while maintaining code quality accountability.

Lead end-to-end AI platform architecture and infrastructure at enterprise scale, designing and implementing generative AI capabilities including LLMs, RAG systems, and agentic AI with a focus on model serving, inference optimization, and production deployment. Establish MLOps/LLMOps best practices, build automated CI/CD pipelines tailored for AI/ML applications, and architect vector database integration and cloud AI/ML services.…See more Mentor engineering teams, drive cross-functional collaboration between software, product, and data teams, and continuously evaluate and optimize AI platform performance, scalability, and reliability.

This role requires an experienced architect to design and implement large-scale integrations between Siemens Teamcenter PLM and enterprise applications (ERP, MES, CAD/ECAD, data warehouse, supplier portals). The architect will own integration strategy, define interface specifications and patterns (real-time, batch, event-driven, API-based), review code for quality and scalability, and coordinate across middleware teams and multi-vendor environments during transformation programs.…See more Core competencies include Teamcenter integration frameworks (T4EA, T4S, T4O, ITK, SOA, REST/SOAP), ERP systems (Oracle, SAP), CAD integrations (Creo, Cadence), and ability to translate business requirements into scalable technical designs.

Senior full-stack engineer responsible for designing and building the Forge Platform—a system enabling applications to contribute widgets, dashboards, commands, and shared resources through typed, versioned contracts. Own the platform from design through production rollout, partnering with autonomy and ML teams to validate workflows and incorporate real-world requirements.…See more Build backend services, frontend interfaces, and infrastructure that deliver consistent behavior across local and remote environments, while enabling independent application developers to move quickly with clear contracts and documentation.

Design and own full-stack applications for Shield AI's Forge Platform, serving both embedded AI and external agents through shared platform tools. You will build production frontend services in TypeScript and React, backend services in Go, Python, or Rust, and design typed, versioned APIs connecting independently deployed components.…See more Responsibilities span frontend architecture, backend services, state management, distributed-system patterns (routing, async communication, authentication, authorization), and close collaboration with infrastructure and product teams to create intuitive engineering tools.

Sr. Engineer responsible for designing, building, and deploying production-grade AI platforms and solutions centered on LLMs, RAG, and agentic workflows.…See more The role spans full-stack development—from backend services and APIs to cloud-native infrastructure on Kubernetes—with emphasis on enterprise search, retrieval optimization, and AI application integration. Must have strong programming skills across Python, Java, C#/.NET, Rust, TypeScript/JavaScript, and proven experience architecting and operating scalable, production-ready AI systems.

Lead the design and implementation of AI-assisted HR systems at ServiceNow, owning agentic workflows, evaluation infrastructure, and production safety mechanisms for large-language-model-powered employee-relations features. You will author and refine prompts and agent instructions, build multi-turn evaluation suites with drift detection and CI gating, and ensure entitlement-aware data handling across retrieval and tool layers.…See more Collaborate across product and engineering to translate business requirements into robust technical designs, and drive hands-on integration, migration, and incident resolution on customer-facing systems. Requires 10+ years of software engineering with direct production LLM experience, orchestration migrations, system design rigor, and proficiency in Java, JavaScript/TypeScript, and React.

Build applied AI systems for Crucible, Firestorm's manufacturing operations software. You'll productionize ML and optimization models, integrate foundation models and LLMs into workflows, and design end-to-end AI capabilities—from model selection and evaluation through reliable production deployment across cloud, air-gapped, and edge environments.…See more This is a hands-on engineering role requiring 5+ years shipping production ML/AI systems, strong Python and software engineering fundamentals, and deep experience with LLMs, transformer models, and production ML monitoring.

This role requires architecting and leading large-scale Teamcenter PLM integrations with enterprise systems including ERP (Oracle, SAP), MES, CAD/ECAD, data warehouses, and supplier portals. The architect will define integration strategies, design specifications, and API patterns across real-time, batch, event-driven, and middleware-based flows, while coordinating with cross-functional teams and validating implementation against approved designs.…See more Strong hands-on expertise in Teamcenter frameworks (T4EA, T4S, T4O, ITK, SOA, REST, SOAP, PLM XML) and coexistence architectures is essential, along with experience in ERP and CAD system integrations.

Staff Backend Engineer to design and build the core backend of Crucible, Firestorm's production planning and execution software. You will own system models representing production state (materials, inventory, resources, work), design for distributed operation across cloud, factory, and air-gapped deployments, and build durable integrations with PLM, ERP, quality, and optimization systems.…See more The role requires 8+ years shipping backend or distributed systems in production, strong relational data modeling and API design, and experience with complex state, workflows, and synchronization challenges. You'll partner on architecture, improve observability and reliability, and help raise the engineering bar across the team.

DevOps Systems Engineer supporting a U.S. Air Force cloud migration program, responsible for designing and maintaining secure, scalable on-premises and cloud infrastructure.…See more The role focuses on building and managing CI/CD pipelines, automating provisioning and configuration for legacy applications, implementing DevSecOps controls, and administering Linux/Windows servers. Requires 5+ years of system engineering and DevSecOps experience, active Secret clearance (Top Secret preferred), IAT II certification, and hands-on expertise with Kubernetes, Ansible, Jenkins, AWS, and containerization technologies.

Software engineer responsible for integrating software components and systems across multiple teams and organizations on a cloud-based platform. Develop and maintain technical documentation, participate in testing and quality assurance, and work with distributed engineering teams and government stakeholders.…See more Requires 3+ years of professional experience with Java, TypeScript, object-oriented programming, API design, and full-stack web application development. Must hold an active TS/SCI clearance and U.S. citizenship.

Senior software engineer designing and developing CI/CD systems, enterprise tooling, and quality processes for thousands of developers at Qualcomm. Responsibilities include building front-end applications, backend services, databases, microservices, and middleware APIs; performing code reviews and automated testing; administering Linux environments; and integrating with SCM tools (GitHub, Gerrit, Perforce).…See more Requires 2+ years software engineering experience with a programming language (C, C++, Java, Python) and a bachelor's degree in engineering or computer science; preferred experience includes CI/CD automation, Python/C#/C tool development, and SCM tool workflows.

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.