apis jobs in San Diego

Senior Systems Engineer responsible for designing, developing, and maintaining production services supporting enterprise mail and messaging infrastructure. The role requires strong Linux administration, Python development, and expertise in email technologies (SMTP, message routing, authentication, anti-spam).…See more You will troubleshoot complex distributed systems issues, implement service integrations and operational tooling, drive medium-sized projects, and mentor junior engineers.

Systems Administrator II for San Diego State University's library technology operations, supporting enterprise platforms like Ex Libris Alma and Primo. The role involves administering cloud-based library systems, managing integrations and APIs, handling identity management (SSO, SAML, LDAP), and performing SQL-based reporting and data analysis.…See more Requires a bachelor's degree in a related field and two years of relevant systems administration or library technology experience.

Software Engineer II responsible for operating and improving large-scale data platforms (SQL, NoSQL, streaming, caching) with a focus on reliability, automation, and self-service infrastructure. The role involves building observability tooling, participating in on-call incident response, troubleshooting database and infrastructure issues, and collaborating across teams to deliver reliable stateful services.…See more Required skills include Go, Terraform, API design, Kubernetes, and hands-on experience with databases like Cassandra, Aurora, Kafka, Redis, and DynamoDB on AWS or GCP.

As a Software Architect, you will design AI-first software development lifecycles and lead teams in building GenAI-integrated platforms. You'll architect solutions using prompt engineering, RAG, embeddings, and agentic AI while managing multi-developer environments where AI agents and engineers collaborate.…See more You'll own product architecture, prototype AI-driven solutions with modern DevOps and observability, and coach teams on AI-accelerated development practices. The role requires 6+ years of production software experience, hands-on use of agentic IDEs, proven GenAI integration delivery, and strong architecture expertise across APIs, microservices, cloud platforms, and CI/CD.

IT Project Manager responsible for coordinating schedules, milestones, and technical dependencies across internal and external teams in DoD/Federal IT environments. Manages risk, issue, and change tracking via ServiceNow; prepares executive status reports and dashboards; and promotes Agile, PMO, and configuration management practices.…See more Requires 5+ years in IT project management or technical program management, 2+ years with ServiceNow in DoD/Federal settings, active Secret clearance, and a current PMP, PMI-ACP, or CSM certification.

IT Project Manager responsible for coordinating schedules, milestones, and technical dependencies across internal and external teams supporting DoD/Federal Government IT environments. Will manage risk, issue, and change tracking in ServiceNow; prepare executive-level status reports and dashboards; and ensure Agile, PMO, and technical governance practices are consistently applied.…See more Requires five years of IT project management or program management experience, two years of ServiceNow platform implementation experience in DoD/Federal environments, and an active Secret clearance with PMP, CSM, or PMI-ACP certification.

A Forward Deployed AI Engineer who builds and deploys production AI/ML and Generative AI applications, particularly agentic workflows and RAG systems integrated with enterprise data and business systems. The role requires 6+ years of software/ML/AI engineering experience, advanced Python proficiency, hands-on expertise with LLMs, modern GenAI frameworks (LangChain, LangGraph, LlamaIndex), and cloud platforms (Azure, AWS, GCP).…See more You'll own solutions from prototype through production, working directly with product and business stakeholders to identify where AI creates value, troubleshoot integration issues, and drive continuous improvement.

A Software Engineer will design, build, test, and deliver secure, mission-critical software solutions for the U.S. Department of Defense, working with cross-functional teams to develop front-end and back-end features.…See more The role requires proficiency in multiple programming languages (C++, Python, Java, JavaScript), version control (Git), containerization (Docker, Kubernetes), relational databases (SQL/Postgres), and Linux systems, with additional value from front-end frameworks like React, DevSecOps practices, cloud/virtualization expertise, and scripting automation. The engineer will maintain CI/CD pipelines using Jenkins, integrate third-party software, and adhere to DoD and industry security and reliability standards.

This Staff AI Engineer role focuses on architecting and implementing secure, scalable frameworks for autonomous AI agents at enterprise scale. You'll lead the technical roadmap for agent management—from discovery and provisioning through task orchestration—while ensuring safety, compliance, and governance by design.…See more Working cross-functionally with product, platform, and research teams, you'll build foundational infrastructure for multi-agent collaboration, memory management, and extensibility, driving adoption across the enterprise. The role requires 8+ years in software architecture, backend systems, and Kubernetes/AI infrastructure, with deep expertise in LLM frameworks (LangChain, AutoGen, CrewAI), cloud platforms (AWS, Azure, GCP), and identity/access control patterns.

Senior Software Engineer responsible for building and integrating fleet workflow software that serves U.S. Navy users.…See more The role spans full-stack development (TypeScript/React frontend, Python backend services, APIs) with heavy emphasis on user discovery, systems integration, and cross-boundary troubleshooting. You'll work directly with operational users to understand their workflows, prototype solutions, and refine based on feedback. Work includes integration with Government systems in classified environments and collaboration with both Sofar and Government engineering teams.

Deloitte seeks a Forward Deployed Engineer to design, build, and deploy AI-enabled solutions and agentic platforms for government clients using Palantir technologies. The role requires hands-on experience building and operating GenAI/LLM-powered systems in production, contributing production-quality code with strong testing and CI/CD practices, and leading project workstreams to translate business problems into scalable AI solutions.…See more The engineer will prototype and deliver working solutions independently within a pod structure while mentoring teammates, balancing quality, safety, latency, cost, and model risk in architecture decisions.

Lead a team of Databricks engineers delivering GenAI and LLM solutions to government clients. You'll architect and deploy production-scale data platforms, mentor engineers, and translate business requirements into AI solutions using Databricks' full stack (Lakehouse, Agent Bricks, Model Serving, Genie, Apps).…See more Enforce strong data management, CI/CD, testing, and documentation practices while working across AWS, Azure, and Google Cloud environments.

Senior Forward Deployed Engineer at Deloitte GPS building AI-enabled solutions and agentic platforms on Databricks for enterprise government clients. Requires 7+ years software/data engineering experience, 5+ years deploying GenAI/LLM solutions in production, and 5+ years hands-on Databricks expertise across Lakehouse, Agent Bricks, Model Serving, and Genie.…See more Mentors junior engineers, designs scalable AI patterns with human-in-the-loop controls, delivers production-quality code with strong CI/CD and testing practices, and translates complex business problems into deployable AI solutions.

Senior Software Engineer role at CoStar focused on designing and building production applications using C# and .NET on AWS cloud infrastructure. The position emphasizes leveraging Claude AI for code generation, refactoring, and analysis, while building and operating scalable, cloud-native solutions.…See more Requires strong AWS hands-on experience (EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, CloudWatch), API and backend service development, and solid software design principles. Preferred qualifications include Databricks experience, microservices/distributed systems knowledge, CI/CD and DevOps practices, and Infrastructure-as-Code tools like Terraform and CloudFormation.

As an Applications Engineering Consultant for Siemens EDA's Emulation division, you will provide technical sales support and hands-on expertise to customers evaluating and deploying Siemens Veloce Strato emulation and prototyping solutions. You'll work directly with customers during product evaluations, troubleshoot technical obstacles, deliver presentations on product features, and communicate customer requirements back to product development teams.…See more The role requires 7+ years in chip/ASIC design, verification, or emulation/prototyping, with deep expertise in SystemVerilog/Verilog/VHDL, RTL design, industry emulation tools (Veloce, Palladium, ZeBu), and simulation environments (Questa, VCS, Incisive). You'll leverage scripting languages (Python, Perl, Tcl, shell) and EDA tool integration knowledge to help customers optimize their design flows and build long-term technical relationships.

Own the product direction, roadmap, and prioritization for a ground-up AI-accelerated migration platform that helps law firms move onto the CARET Legal practice management system. You will translate complex migration and onboarding challenges into well-scoped product opportunities, work closely with an Engineering Tech Lead on technical architecture, and partner with migration/operations teams to deliver measurable customer and business outcomes.…See more The role requires deep technical fluency with data flows and system behavior, strong judgment about scope and tradeoffs, and the ability to engage directly with engineers and cross-functional stakeholders. You'll define success metrics around time-to-value, cutover experience, delivery predictability, and quality while balancing platform investment with customer commitments.

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.

As a Sr. Technical Product Manager for Data at Petco, you will own the vision, roadmap, and delivery of enterprise data products that power analytics, personalization, and AI-driven decision-making across the organization.…See more You'll translate business needs into technical requirements, define data-quality standards and governance practices, and partner with data engineers, architects, analysts, and business stakeholders to build trusted, reusable data products. The role requires 5+ years of product management experience with strong technical depth in data warehousing, ETL/ELT, SQL, and data modeling, plus expertise managing Agile backlogs and cross-functional delivery on modern cloud platforms like Google Cloud and BigQuery.

Sr. Technical Product Manager who will own the vision, roadmap, and delivery of enterprise data products across Petco's business domains (customer, loyalty, sales, inventory, marketing, finance).…See more The role bridges business stakeholders with data engineering, analytics, architecture, and governance teams—translating requirements into data models, defining quality standards, data contracts, and metric definitions. You'll drive adoption of governed data products built on Google Cloud and BigQuery, manage cross-functional delivery, and champion data governance practices. Required: 5+ years of product management with technical product ownership or data product management experience, strong SQL and data warehousing expertise, and proficiency with ETL/ELT, APIs, data quality, and BI tools.

Senior Operations Analyst responsible for supporting and administering MyPoint's Jack Henry Symitar core processing environment. Duties include monitoring daily/monthly/quarterly/year-end processing, maintaining system parameters and security controls, troubleshooting complex integration and core system issues, designing and optimizing automated jobs and workflows, and supporting SymXchange integrations with third-party applications.…See more Requires 5+ years of technical experience with Symitar, Jack Henry products (ImageCenter, Synergy, Banno), web services, APIs, and PowerFrame Docs; a bachelor's degree in IT/CS or equivalent is required.

Senior Associate AI Engineer will develop GenAI/LLM applications and integrations using foundational models, build and test AI models and conversational agents, and configure AI solutions into enterprise applications on cloud platforms. The role requires assisting with data preparation for model training, documenting technical workflows, and staying current on emerging AI tools.…See more Requires minimum three years of professional or academic experience in AI/ML, data science, or software engineering, proficiency in Python or similar languages, and hands-on experience with a major cloud AI platform (Azure AI, AWS Bedrock, or Google Cloud Vertex AI).

Lead the design and deployment of AI-powered marketing automation workflows, predictive analytics frameworks, and performance dashboards across Intuit's marketing organization. Build production-grade automation infrastructure on cloud platforms (GCP/AWS/Azure) that integrates AI tools into the marketing tech stack, operationalizes customer segmentation models, and scales intelligent automation globally.…See more Develop dashboards, attribution models, and automated reporting pipelines that quantify adoption, cost savings, and performance lift. Partner cross-functionally with product, engineering, data science, and marketing teams to architect, validate, and transition high-impact AI pilots into enterprise capabilities.

Lead a Palantir Forward Deployed Engineering team for the Government & Public Services practice, guiding architecture of data pipelines powering GenAI use cases. You will contribute production-quality code, enforce strong data management and CI/CD practices, and translate business problems into AI solutions while working with federal/state/local government clients.…See more The role requires 10+ years of software/data engineering experience, 1+ years of hands-on GenAI/LLM deployment, and 1+ years working with Palantir (Foundry, AIP, or Maven), with deep familiarity in AWS, Azure, and/or Google Cloud environments.

Lead a forward-deployed engineering pod (2–5 engineers) architecting and delivering LLM-enabled applications, copilots, and agentic workflows using enterprise AI platforms, particularly Microsoft Azure AI Foundry. Own end-to-end GenAI solution design—from RAG pipeline governance and prompt engineering to production deployment and quality evaluation—while mentoring junior engineers, enforcing delivery standards, and translating business problems into scalable AI systems.…See more Require 7+ years of software/data engineering experience, 1+ years of hands-on GenAI/LLM deployment in production, and proven ability to lead technical workstreams in ambiguous, fast-paced client environments.

A forward-deployed engineer role at Deloitte's Government & Public Services practice focused on designing, building, and deploying GenAI/LLM-powered solutions on Databricks for federal and public-sector clients. The role requires 4+ years of software/data engineering experience, 2+ years hands-on with GenAI/LLM solutions in production, and 2+ years with Databricks platform technologies.…See more Responsibilities include delivering production-quality code with strong CI/CD and documentation practices, designing extensible functionality, leading project workstreams, and translating business problems into AI solutions while traveling approximately 50%.