azure jobs in San Diego

Senior Network Engineer with 8+ years of experience designing, implementing, and managing cloud networking solutions across AWS and Azure, alongside enterprise network infrastructure (WAN/LAN/WLAN, Cisco, Meraki, Palo Alto). The role spans hybrid connectivity, network security controls, performance monitoring, and basic automation using Python and Ansible to improve operational efficiency.…See more Requires hands-on expertise in cloud platforms, routing/switching, firewalls, and observability tools like ThousandEyes and Splunk.

This role designs and governs enterprise data architectures across SQL, NoSQL, and cloud platforms for a financial institution. The Data Architect will establish data standards, lead golden-record and SSOT initiatives, architect ETL/ELT pipelines, manage data quality and governance frameworks, and oversee database platform strategy (SQL Server, Azure SQL, Snowflake, MongoDB Atlas, Cosmos DB).…See more The position requires 12+ years of progressive experience, deep cloud data platform expertise, SQL and Python proficiency, and demonstrated leadership guiding engineering teams through enterprise modernization and compliance-driven initiatives.

Senior Enterprise Data Engineer role requiring 5+ years designing and developing OLTP/OLAP databases, ETL/ELT pipelines using SSIS, Azure Data Factory, or Python, and enterprise reporting solutions with Power BI and SSRS. Must have advanced SQL Server expertise, strong data warehousing and dimensional modeling knowledge, and experience in Agile environments.…See more Preferred qualifications include Azure data platforms (Synapse, Data Lake, Fabric), Databricks, Apache Spark, Azure DevOps, and CI/CD practices.

Design and develop embedded Linux drivers and middleware services for autonomous vehicle platforms, architecting CI/CD pipelines, OTA systems, and test frameworks from scratch. You'll integrate across multiple vehicle platforms, CAN bus architectures, and sensor suites while defining quality standards, release criteria, and system-level validation.…See more This role requires hands-on embedded systems experience with Linux, C/C++, and strong hardware–software integration and debugging skills in a fast-moving startup environment.

Senior Network Engineer/Architect responsible for designing, engineering, and modernizing large-scale enterprise wired, wireless, core, WAN, data center, and research network architectures at a major university. Lead complex infrastructure projects from requirements through deployment, serve as senior escalation for advanced routing, switching, wireless, and performance issues, and provide technical direction to engineering teams.…See more Develop architecture standards, reference designs, and technical runbooks while evaluating emerging networking, cloud, wireless, automation, and security technologies. Requires deep expertise in enterprise routing/switching (BGP, OSPF, IPv4/IPv6, segmentation, high availability), hands-on network observability and packet analysis, and proven success leading large-scale network modernization and lifecycle initiatives.

Software Engineering Intern III position for Summer 2027 at BAE Systems, supporting defense and aerospace projects. Interns will work alongside experienced engineers on impactful projects using modern full-stack technologies including React/Angular, AWS/Azure/Kubernetes, Spring, and various databases (SQL and NoSQL).…See more The role requires proficiency in Java, C++, C#, Python, or JavaScript, strong fundamentals in data structures and object-oriented programming, and a drive to learn. Participation in BAE Systems' LEAP Internship Program includes career development, mentorship, and networking opportunities.

Director-level role leading AI/ML engineering strategy and execution across Optum's healthcare technology organization. You will define the roadmap for LLM engineering, generative AI systems, and agentic workflows; lead and mentor a team of 10+ AI/ML engineers, software developers, and MLOps specialists; architect scalable multi-cloud AI solutions spanning AWS and Azure with .NET/C# services; and champion ethical AI governance and production-grade model deployment practices.See more

As an Azure Cloud and AI Developer, you'll design, develop, and deploy cloud-native applications on Microsoft Azure while building AI-powered solutions using Azure OpenAI, Azure AI Services, and Azure Machine Learning. You'll create secure integrations between Azure applications and enterprise platforms, drive intelligent automation initiatives, and maintain CI/CD pipelines using Azure DevOps.…See more The role requires 3+ years of application development experience with at least 1 year hands-on with Azure, strong proficiency in C#/.NET/Python, REST APIs, Git-based source control, and secure coding practices in a regulated financial services environment.

Staff Software Engineer to own end-to-end LIMS (Laboratory Information Management System) implementation for a clinical/molecular diagnostics lab, connecting sample tracking to lab automation and instrumentation. Responsibilities include building the LIMS platform, creating integrations between LIMS and lab devices, modeling complex sample preparation and assay execution data chains, and ensuring compliance with 21 CFR Part 11.…See more Requires 7+ years of hands-on LIMS experience in clinical or molecular diagnostics, deep knowledge of sample-tracking data models for high-throughput workflows, full-stack programming across UI/APIs/backend, and regulated-environment expertise (21 CFR Part 11, ISO standards, CAP/CLIA). This is a hands-on technical leadership role requiring strong communication between lab scientists, automation engineers, and software teams.

Principal Platform Architect responsible for translating federal customer business objectives into ServiceNow platform solutions and digital transformation roadmaps. Advises on technical governance, platform health, and enterprise architecture decisions while guiding customers through prescriptive solution design and implementation.…See more Requires 5+ years of large program architecture experience, preferably with management consulting or enterprise software background, and federal sector experience. Must demonstrate expertise in enterprise platforms, cloud technologies (AWS, Azure), and ServiceNow best practices, with ability to communicate at executive levels and work across complex organizational structures.

Senior Enterprise Applications Developer responsible for designing, delivering, and supporting complex enterprise software, integrations, data solutions, and automation across cloud and on-premises environments. Requires 7+ years of progressive experience with advanced Python proficiency, hands-on expertise in REST APIs, ETL/data pipelines, CI/CD practices, and AWS or Azure cloud-native development.…See more Must demonstrate ability to lead solution design from requirements through production support, with experience in workflow automation, AI/LLM integrations, and compliance frameworks (HIPAA, SOC 2, SOX). Strong emphasis on security, governance, architecture, and cross-functional collaboration with technical teams and business leaders.

Enterprise Applications Developer responsible for building and supporting integrations among Salesforce, SaaS platforms, cloud services, and external partners using REST APIs, web services, and event-driven patterns. Develop Salesforce enhancements using Apex, Lightning Web Components, Flow, and SOQL/SOSL.…See more Design and maintain data extraction, transformation, validation, and loading processes; build workflow automations; and assist with AI-enabled solutions. Troubleshoot application and integration issues, maintain technical documentation, and support compliance requirements (HIPAA, SOC 2 Type II, SOX).

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 Systems Engineer serving as Tier 3 escalation and solutions architect for a managed service provider (MSP), designing end-to-end technical solutions across Microsoft 365, Azure, identity/security, and networking for multiple clients. Responsibilities include architecting and administering Azure and Microsoft 365 environments (Entra ID, Intune, Exchange Online, SharePoint), implementing security controls (MFA, conditional access, DLP, identity governance), building PowerShell automation and AI-assisted agents to reduce manual work, and mentoring Tier 1/2 technicians.…See more Must have deep hands-on expertise in Azure and O365 administration, strong security background in identity/access management and endpoint security, proven scripting ability, and experience escalating complex infrastructure/cloud/security issues in a multi-client MSP environment.

Software Integration Engineer responsible for designing, developing, and deploying a hybrid container/virtualization platform-as-code solution supporting enterprise-scale workloads across on-prem and cloud environments. The role involves integrating core platform services (identity, PKI, DNS, logging, monitoring, secrets management), configuring container runtimes and networking, and developing infrastructure-as-code automation.…See more Requires 9+ years of experience (or equivalent with advanced degree) with cloud platforms, Kubernetes, virtualization, DevSecOps practices, CI/CD tooling, and automation frameworks, plus the ability to mentor junior engineers and collaborate across security, platform, and application teams on compliance, incident response, and AI/ML workload enablement.

Senior Software Engineer at Globus Medical responsible for full lifecycle management of medical device software products, from research and design through testing and delivery. The role requires strong full-stack development skills in .NET/C# backend and JavaScript/TypeScript frontend, with proficiency in Azure DevOps, Git, and web technologies including HTML5, CSS/SCSS, LitElement, and WebComponents.…See more Must follow FDA regulations, ISO 13485, and IEC 62304 standards in a regulated medical device environment, and perform some DevOps functions. Requires 8+ years of experience (or equivalent with advanced degree) in object-oriented design, Agile/TDD methodologies, and cross-functional collaboration with product management and engineering teams.

Principal Software Engineer role focused on designing highly complex enterprise-level web applications with deep expertise in microservices, serverless architectures, and cloud platforms. The engineer will serve as an architectural subject matter expert, providing guidance on system design, performance, scalability, and security across multiple teams at CoStar.…See more Requires 10+ years of hands-on experience with expert-level proficiency in C#, Java, Python, or JavaScript/TypeScript, plus significant hands-on experience designing and implementing AWS solutions. Responsibilities include creating architectural documentation, mentoring technical staff, staying current with emerging technologies, and advocating for security and observability best practices.

Lead end-to-end AI platform architecture and design for generative AI solutions, including LLMs, RAG systems, and agentic AI. Build MLOps/LLMOps pipelines with automated CI/CD, model serving infrastructure, and vector database integration on enterprise cloud platforms.…See more Establish best practices, mentor engineering teams, and drive seamless AI application integration into production systems while optimizing for scalability, security, and performance.

Lead the design, governance, and technical implementation of an enterprise API and AI gateway platform serving internal and external consumers. Define solution standards, security controls, compliance protocols aligned to financial services regulations, and LLM integration patterns across Apigee X, MCP servers, and multiple AI providers.…See more Manage a team through API modernization and AI gateway buildout while actively contributing hands-on engineering on proxies, policies, and MCP integrations when needed.

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.

A junior data engineer will contribute to data pipeline development across AWS, Azure, Salesforce, and MuleSoft, learning the full engineering lifecycle with guidance. Core responsibilities include building and maintaining data pipelines, implementing Kimball-based data models, writing Python orchestration and data-quality scripts, and supporting Power BI analytics.…See more The role emphasizes AI-assisted development using Claude Code, Cursor, and GitHub Copilot, with requirements for 0–2 years of experience, 6+ months of Python, intermediate SQL, at least one end-to-end pipeline project, and Power BI/Tableau dashboard experience.

This Data Engineer II role focuses on data operations and infrastructure, supporting the transition of data systems from development to production. The engineer will administer data lakehouse/warehouse platforms (Snowflake, Databricks, Redshift, BigQuery, Azure Synapse), manage RBAC and user governance, monitor and troubleshoot data pipelines, and contribute to data governance and quality best practices.…See more Key responsibilities include orchestration tool administration (Apache Airflow, dbt), observability framework development, incident management, and hands-on SQL and Python work to maintain and optimize production data systems.

Principal Engineer leading the design, build, and operation of an enterprise data platform serving 50+ source systems across R&D, Commercial, Manufacturing, and other business functions. The role combines hands-on data engineering (PySpark, T-SQL, Python, Data Factory, medallion architecture) with technical leadership of data engineers, vendor management, platform standards enforcement, and cross-functional stakeholder partnership.…See more Responsibilities span CI/CD pipeline design, data quality and reliability instrumentation, semantic layer development, data governance implementation, and delivery of new source-system integrations at scale.