gcp jobs in San Diego

Build and own the software layer connecting Fabric8Labs' electrochemical 3D printers to operators and business systems. Design PostgreSQL schemas and write Python backend services that interact with printers and edge devices in real time, build production dashboards and operator interfaces, and create integrations between shop-floor systems and ERP for work order flow, material tracking, and production reporting.…See more You'll work hands-on with hardware engineers, materials scientists, and operators to solve manufacturing workflow problems with direct, immediate feedback. The role requires 4+ years shipping production software, strong Python and PostgreSQL expertise, Linux proficiency, and JavaScript for UI—with a focus on understanding customer needs and building reliable, traceable systems.

Design, develop, and maintain robust backend APIs for Speechify's text-to-speech platform, including public TTS APIs, payments, subscriptions, authentication, and consumption tracking. Oversee the full backend API landscape, optimize for performance and scalability, and collaborate with cross-functional teams on B2B solutions and enterprise integrations.…See more The role requires proven backend development experience with TypeScript/Node.js and direct experience with GCP, with Docker and Kubernetes proficiency preferred.

This role leads enterprise generative AI architecture and solution delivery on Oracle Cloud Infrastructure, designing agentic workflows, RAG pipelines, and LLM-based integrations with Oracle applications. The candidate will define AI governance and security standards, identify high-value use cases, mentor technical teams, and guide model selection and optimization.…See more Requirements include 8+ years of enterprise architecture experience with 2+ years in AI/ML/GenAI solution architecture, hands-on expertise with OCI services (Generative AI Service, Functions, API Gateway, Data Science, Autonomous Database, Integration Cloud), and proficiency in Python, SQL, and REST APIs.

The RMA Engineer manages Return Material Authorizations for hyperscaler and enterprise server products, handling review, logging, troubleshooting, and root cause analysis of returned hardware down to component level. Responsibilities include diagnosing failures, executing test plans, validating server SKUs across cloud platforms (AWS, Azure, GCP), and coordinating repair and return-to-service processes.…See more The role requires collaboration with engineering, supply chain, and customer support teams, along with maintaining accurate records and generating trend reports. Required background: Bachelor's in Computer Science or Electrical/Electronics Engineering plus 4+ years of hardware engineering experience (or equivalent with advanced degree).

Administer and configure Siemens Teamcenter PLM software for a large-scale program, including installation, configuration, upgrades, and deployment center enablement. Handle automated build deployments and cloud infrastructure integration.…See more Perform upgrade assessments and maintain technical documentation to support enterprise-wide PLM operations.

Lead the modernization of legacy SSIS/SSRS data systems into cloud-native Lakehouse pipelines using Databricks, dbt, Fivetran, and Airflow. Design standardized frameworks for ingestion, transformation, and consumption layers while driving CI/CD, observability, and engineering best practices across Azure and GCP.…See more Evaluate emerging technologies (Delta Live Tables, Iceberg, streaming ingestion) through POCs and POVs, and leverage AI-assisted tools (Databricks Assistant, Cursor AI, GitHub Copilot) to accelerate development and reduce technical debt. Provide technical guidance to the team and translate business requirements into scalable data solutions.

The RMA Engineer manages Return Material Authorizations for hyperscaler and enterprise server products, handling hardware evaluation, troubleshooting, and disposition. Responsibilities include diagnosing component-level failures, performing root cause analysis, executing test plans, and validating server configurations across AWS, Azure, and GCP environments.…See more The role requires collaboration with engineering, supply chain, and customer support teams, plus inventory management and process coordination. Candidates need a bachelor's degree in Computer Science or Electrical/Electronics Engineering with 4+ years of hardware engineering experience (or equivalent via advanced degree).

Senior Software Engineer role building scalable backend services and user-facing features for sleep health diagnostics workflows at an early-stage product team. The role emphasizes hands-on delivery, code quality, system design ownership, and production responsibility including monitoring and on-call support.…See more You will collaborate across Product, Design, and engineering teams while practicing AI-native development methodology using tools like Copilot and Claude. Requires 5+ years of backend engineering experience (Java/Spring Boot preferred), distributed systems knowledge, cloud deployment experience (AWS, Azure, or GCP), and comfort in enterprise environments with CI/CD and compliance controls.

Lead a Data Engineering team to establish modern DataOps and CI/CD practices while providing technical mentorship in PySpark, SQL, dbt, and Fivetran. Design and optimize scalable, reliable data infrastructure across cloud and on-premise ecosystems (AWS, GCP, Azure) using Databricks, BigQuery, and Snowflake.…See more Manage end-to-end data sourcing, processing, integration, and delivery projects to meet business objectives and predetermined success criteria. Require 10+ years managing Data Engineering teams and 7+ years working with cloud-native data platforms and advanced SQL/Python/PySpark expertise.

Lead iOS/Swift Software Engineer for a medical device startup, responsible for owning architecture and technical direction of native iOS applications and device-to-cloud interfaces. You'll design and build Swift-based apps, develop web services (preferably on GCP), lead cross-functional collaboration with firmware and hardware teams, and establish engineering best practices including CI/CD pipelines and security standards.…See more The role combines senior individual-contributor technical ownership with a path toward broader engineering leadership as the team scales.

As a Staff AI Engineer, you will lead the design and evolution of Teradata's enterprise AI platforms, owning architecture decisions for agentic AI, LLM systems, RAG pipelines, and vector stores. You will operate with high autonomy, partner with product and architecture leadership, and drive technical strategy across multiple engineering teams.…See more The role requires 8+ years building backend services, distributed systems, or data/AI platforms, with strong proficiency in Java, Go, or Python and deep expertise in distributed system design, cloud-native architectures, and production AI systems. You will also mentor senior engineers, establish engineering standards, and serve as a technical escalation point for complex system design and reliability challenges.

Lead a team of 6–10 engineers building and operating core cloud-native platform services on Kubernetes and hyperscalers. Own end-to-end delivery, team development, and technical direction while staying hands-on with design reviews and architectural decisions.…See more Establish SLOs, on-call practices, and operational excellence across AWS, Azure, GCP, and on-prem environments. Act as a player-coach who combines people leadership with deep technical judgment on distributed systems, containers, CI/CD, and infrastructure-as-code.

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.

Senior software engineer focused on building cloud-based backend services and data platforms for medical device systems at Dexcom. Design and develop end-to-end data pipelines supporting large-scale ingestion, transformation, and storage, while building and maintaining APIs that expose data to internal systems, partners, and mobile apps.…See more Collaborate with Data Engineers, AI/ML Engineers, and Platform teams to integrate AI insights into production systems, ensuring high standards for reliability, performance, scalability, and data quality. Lead through code reviews, design mentorship, and technical guidance while contributing to architecture decisions and long-term platform roadmap.

A senior engineer responsible for designing, implementing, and managing Zscaler zero-trust security solutions across the organization's network infrastructure. The role involves monitoring security configurations, conducting risk assessments, responding to security incidents, ensuring compliance with standards like GDPR and HIPAA, and providing guidance to internal teams.…See more Requires 3+ years of network security experience, deep knowledge of Zscaler (ZIA and ZPA), network security best practices, and familiarity with compliance frameworks and cloud platforms.

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.

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.

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.

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.

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.

Sr. Principal Specialist will oversee clinical database programming operations, including review/cleaning programs, validation procedures, database migrations, SAS dataset creation, and vendor management within a pharmaceutical environment.…See more The role requires hands-on technical expertise in Medidata Rave, SAS, and SQL alongside strategic leadership of cross-functional teams and oversight of regulatory compliance, inspection readiness, and system implementations. Responsibilities include proactive risk mitigation, evaluation and adoption of new technologies, and acting as a technical liaison across Clinical Data Management, Clinical Operations, Regulatory, and IT. The ideal candidate combines 8+ years of clinical database programming experience (or equivalent with advanced degree) with expert knowledge of CDISC standards, GCP regulations, and end-to-end drug development processes.

As a Senior Platform Engineer at ReflexAI, you will design and maintain multi-cloud infrastructure across GCP and AWS using Terraform, Kubernetes, and GitHub, while building golden paths and guardrails that improve developer velocity. You'll own observability and monitoring with Datadog, strengthen security posture through IAM and container security best practices, and establish compliance workflows for SOC 2, HIPAA, and other industry standards.…See more This is a hands-on role requiring 5–7+ years of DevOps/SRE/platform engineering experience, deep cloud expertise, and CI/CD pipeline proficiency. You'll work cross-functionally to reduce operational toil and support an AI-driven product serving crisis support, healthcare, and enterprise customers.

Join Booz Allen Hamilton as an AI Software Developer Intern supporting U.S. Navy missions in San Diego.…See more You'll write and debug code (primarily Python), contribute to AI/ML-enabled automation projects, and work on software integration tasks alongside experienced engineers and cybersecurity specialists. The role is structured to support your academic commitments while you pursue a bachelor's degree in computer science, cybersecurity, or a related STEM field by Summer 2027.

Clinical Data Engineer II/III will develop and maintain data transformation models across clinical schemas, ensuring data quality, reliability, and regulatory compliance in a healthcare environment. The role requires designing data contracts, building reconciliation logic to unify multi-source data, and owning clinical result data end-to-end from ingestion through monitoring.…See more You will partner with clinical operations, regulatory, and research teams to resolve data issues, maintain dashboards subject to formal validation, and serve as a subject-matter expert on the warehouse clinical data. This position demands 5+ years of hands-on data engineering with production transformation frameworks (dbt preferred), deep SQL expertise, and demonstrated experience in regulated environments.

Lead the design, development, and operation of Qualcomm's enterprise AI platform, supporting agentic AI, model lifecycle management, and multi-cloud ML/inference infrastructure. Own core platform services including identity/RBAC, secrets, service meshes, observability, vector stores, and model gateways across on-prem GPU clusters and managed cloud services.…See more Manage a ~10-engineer global team (platform, SRE, MLOps/LLMOps), drive incident response and continuous improvement, and partner with product and security teams on AI governance and high-impact use cases.