gcp jobs in San Diego

Software Engineer responsible for scoping and defining requirements, designing and implementing solutions using modern programming languages and technology stacks, and ensuring quality through secure coding practices and testing. The role involves converting customer requirements into refined visions, developing software interfaces across network protocols, integrating components into complex environments, and supporting both lab and on-site customer testing.…See more Requires 3–5+ years of relevant experience, strong understanding of SDLC, object-oriented programming, distributed systems, algorithms, and data structures. Travel up to 10% required.

Design, deploy, and maintain enterprise Windows Server infrastructure with expertise in Active Directory, authentication systems (Kerberos, RADIUS, PKI), and DoD-compliant hardening (STIGs, CIS, Zero Trust). Develop Infrastructure-as-Code automation using PowerShell, Python, and Ansible across Windows and Linux environments, manage SCCM/MECM patch deployment and WSUS, and architect virtualized environments on KVM and EC2.…See more Mentor engineering teams on system integration, security, and cross-domain interoperability, and collaborate with cybersecurity, network, and Linux teams to solve complex enterprise deployment challenges.

The SW Test Development Engineer 2 will design, develop, and maintain automated and manual test scripts for Dexcom's CGM software and data platform systems. You'll write API and UI tests, create verification and validation test plans, analyze failures with development teams, and contribute to release improvements.…See more The role requires 2–5 years of hands-on software or test development experience with Python or OOP languages, SQL/NoSQL databases, API testing frameworks (Robot framework), and cloud platforms (GCP/AWS); additional experience with Docker, Kubernetes, Kafka, BigQuery, and Airflow is highly valued. You'll mentor junior engineers and work cross-functionally in an Agile environment.

Design, architect, and deliver enterprise Cisco networking solutions for managed services customers across multiple industries. Lead technical discovery, develop High-Level and Low-Level Designs, create Bills of Materials and quotes, and provide technical leadership to engineering and operations teams.…See more Requires 10+ years of network engineering experience, 5+ years as a Network Architect or Lead Network Engineer, and expert-level hands-on proficiency with Cisco Catalyst, Nexus, SD-WAN, ISE, Secure Firewall, and DNA Center. Must have significant experience with Cisco licensing models, cloud connectivity (Azure, AWS, GCP), and enterprise LAN/WAN/WiFi architecture.

Senior hands-on software engineer building the core orchestration, data systems, and internal tooling for an automated chemistry platform. You'll own problems end-to-end across the full stack—Python backend, TypeScript/React frontend, databases, APIs, and distributed systems—designing services, modeling data flows, and building interfaces that connect synthesis requests from intake through execution.…See more You'll work closely with automation engineers, chemists, and ML teams to ship production features, establish engineering practices, and become a primary owner of major platform components. The role prioritizes judgment and problem-solving over language expertise, expecting fluency across the stack and comfort reaching for languages like Rust, Go, or C++ when warranted.

Director-level role leading cyber architecture strategy and teams at an enterprise consulting firm. Responsibilities include architecting secure cloud and AI-enabled solutions, guiding security controls and design patterns, mentoring security professionals, and providing technical thought leadership on emerging technologies like generative AI and agentic systems.…See more Requires 10+ years of security architecture experience, expertise across IaaS/PaaS/SaaS platforms, and proven ability to influence enterprise technology strategy while balancing business enablement with risk management.

Staff Software Engineer to architect and lead Intuit's next-generation One Logging system, designing high-scale, mission-critical logging pipelines for on-premise and public cloud (AWS, GCP) deployments. Own end-to-end platform evolution from log ingestion through routing, storage, and cost optimization, including components like FELS, Kinesis/CloudWatch integrations, and Log Router.…See more Lead modernization of legacy tooling, design edge collection agents (Fluent Bit, OIL sidecar), and drive automation initiatives using MCP Server capabilities. Provide technical leadership, mentorship, and cross-functional collaboration to align logging platform capabilities across the organization.

This cybersecurity engineer role focuses on securing cloud infrastructure (AWS, Azure, GCP), containerized environments (Docker, Kubernetes), and applications through vulnerability management, risk assessment, and security architecture review. The position requires hands-on experience with SIEM, EDR, WAF configuration, and embedding security scanning (SAST, DAST, SCA) into CI/CD pipelines.…See more The engineer will conduct threat modeling, manage IAM policies, perform penetration testing coordination, support incident response and post-incident reviews, and partner with engineering teams to balance security with delivery. The role also includes compliance support, vendor risk assessments, and serving in an on-call rotation for after-hours security incidents.

Join Speechify's AI team to design and operate cloud infrastructure for petabyte-scale audio data ingestion pipelines supporting model training. You'll discover new audio data sources, manage GCP infrastructure with Terraform, collaborate with ML scientists to optimize cost/throughput/quality tradeoffs, and help shape the dataset roadmap for next-generation products.…See more The role requires 5+ years of software development experience, proficiency with Python/bash scripting, Docker, Infrastructure-as-Code, and hands-on work with large-scale data processing workflows.

Senior Software Engineer building foundational services and SDKs that power Speechify's cross-platform product experience. Responsibilities include collaborating with product teams on API design, optimizing existing functionality for performance and parsing efficiency, and shipping cloud functions and backend services in Kotlin.…See more The role requires systems thinking, rapid execution, and ability to navigate technical/UX tradeoffs across multiple product teams.

This role is a hands-on cybersecurity engineer responsible for securing cloud infrastructure (AWS, Azure, GCP), containerized environments (Docker, Kubernetes), and applications. Key duties include vulnerability scanning and penetration testing, threat modeling, Web Application Firewall (WAF) deployment and tuning, CI/CD security integration (SAST, DAST, SCA), incident response, and compliance support.…See more The engineer will work closely with DevOps and application teams to embed security controls, conduct code and architecture reviews, and provide risk-based guidance. Required experience includes 3–5+ years in cybersecurity or security engineering, hands-on SIEM/EDR/vulnerability management tools, cloud platforms, WAF configuration, and scripting (Python, Bash, PowerShell).

Senior Full-Stack Web Application Developer responsible for designing, building, and deploying multiple web applications across financial management, asset management, and internal tools. The role encompasses full-stack ownership from database architecture and API development through frontend implementation, with a strong emphasis on security engineering, DevOps, and infrastructure automation.…See more Key responsibilities include establishing CI/CD pipelines, implementing authentication/authorization and encryption standards, conducting vulnerability assessments, and maintaining code quality through testing and code reviews. Required skills include proficiency in JavaScript/TypeScript, modern frontend frameworks (React, Vue, or Svelte), backend experience (Node.js, Python, Go), relational and NoSQL databases, Docker, cloud platforms (AWS, GCP, Azure), and security implementations (OAuth2/OIDC, JWT, MFA, encryption).

js, Python, or Go. Responsibilities include architecting relational and NoSQL databases for high availability, building data pipelines and asynchronous processing systems, and deploying cloud infrastructure on AWS with Docker, Kubernetes, and Terraform.…See more pipelines and asynchronous processing systems, and deploying cloud infrastructure on AWS with Docker, Kubernetes, and Terraform. The role requires 3–6 years of experience building distributed systems at scale, with deep expertise in database design, caching strategies, and cloud platforms. You'll also own monitoring, performance optimization, and comprehensive testing across unit, integration, and end-to-end scenarios.

Own end-to-end compliance operations for a healthcare AI company, including managing compliance frameworks (SOC2 Type II, HIPAA, NIST, ISO), driving control remediation to closure, administering Google Workspace and MDM, coordinating external audits, and maintaining audit-readiness. This role requires hands-on management of a compliance platform of record, continuous monitoring of compliance tests, security policy maintenance, evidence collection, and risk tracking—operating with high rigor in a fast-scaling startup without routing issues to others.See more

As an Anthropic Forward Deployed Engineer, you will embed with government and public services clients to identify business needs and rapidly prototype GenAI-enabled solutions using Claude and related Anthropic technologies. You'll build production-quality AI solutions, agentic platforms, and workflows while working independently and collaborating with senior stakeholders to drive measurable business impact.…See more The role requires 4+ years of software/data engineering experience, 1+ years hands-on with GenAI/LLM solutions, and demonstrated expertise with Anthropic's platform technologies including Claude API, tool use, and extended thinking. You'll develop scalable AI patterns, contribute reusable assets, and mentor team members while balancing quality, safety, latency, and cost considerations.

Lead the design and delivery of enterprise AI platforms and applications on Google Cloud, leveraging Vertex AI, Gemini, and cloud-native technologies. Design, fine-tune, and govern LLM solutions; build RAG and agentic systems; and define end-to-end architectures spanning data pipelines, feature engineering, model lifecycle, APIs, and MLOps/LLMOps.…See more Architect cloud-native applications on GKE, Cloud Run, and managed services while implementing security, governance, and production-grade monitoring for AI/ML systems at scale.

Staff Software Engineer role designing and implementing cloud-native platform components and services, with primary focus on Kubernetes workloads, distributed systems, and infrastructure automation. Requires 5+ years hands-on Kubernetes experience, proficiency in Go or systems languages, and demonstrated expertise building operators, controllers, and platform services.…See more Will lead well-scoped projects from design through production, contribute to reliability and scalability, mentor junior engineers, and participate in on-call operations.

As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on scalable, marketplace-ready platforms across the Software Development Lifecycle. You'll develop high-quality backend services and APIs, integrate AI/ML technologies including LLMs and agentic AI, and collaborate with cross-functional teams on Teradata's AI platform.…See more The role requires 5+ years of experience in backend services, distributed systems, or data platforms, with strong proficiency in Java, Go, or Python, and hands-on expertise in RESTful APIs, SQL/NoSQL databases, Kubernetes, and cloud platforms. You will also mentor engineers and stay current with emerging AI/ML and cloud-native technologies.

Lead a team of cloud engineers building the nervous system for Brain Corp's fleet of 30,000+ autonomous mobile robots. Own the platform's reliability, roadmap, and architecture while managing team hiring, onboarding, and career development.…See more Drive high-performance delivery across robot and customer-facing interfaces, balance competing priorities (performance, cost, reliability, scalability), and partner with principal and staff engineers on long-term platform strategy. Stay hands-on enough to make sound architectural decisions and earn senior engineer trust during a period of significant growth.

Lead a team of cloud engineers building the backend platform that powers Brain Corp's global fleet of 30,000+ autonomous mobile robots. Own the platform's reliability, roadmap, and architecture as it scales to support fleet operations and customer-facing applications.…See more Balance hands-on technical leadership with people management—mentor engineers, drive hiring and onboarding, own production reliability and incident response, and partner with principal/staff engineers on distributed-systems architecture. Navigate tradeoffs between performance, cost, reliability, and scalability while shipping features that robots in the field depend on.

Shield AI seeks a Staff Engineer, DevOps to own and maintain the build system for autonomous aircraft (XBAT/VBAT), with deep expertise in C++ and CMake. You will improve developer velocity by reducing build/test cycle times, integrating CI pipelines with HIL and simulation environments, and implementing monitoring and dashboards for build system performance.…See more The role requires 7+ years of industry experience (or 5+ with advanced degree), proficiency with containers/orchestration, scripting, CI/CD tools, and cloud operations across Azure/AWS/GCP. You'll collaborate with software engineers to resolve failures, set best practices, and leverage agentic AI solutions to identify root causes and accelerate development cycles.

Senior Site Reliability Engineer responsible for designing and implementing Infrastructure as Code solutions, managing containerized and serverless architectures, and driving automation to reduce operational toil across large-scale production systems. The role requires defining Service Level Objectives (SLOs), leading incident response efforts, implementing monitoring and logging systems, and collaborating with development teams to ensure reliability and scalability.…See more Requires 5+ years of SRE or cloud engineering experience with deep expertise in Terraform, CloudFormation, Docker, Kubernetes, CI/CD pipelines, and cloud security practices. Must be a US citizen eligible to obtain and maintain an active Secret security clearance or above.

js, or Java to support high-throughput applications. Architect and optimize relational (PostgreSQL) and NoSQL (Redis) databases, deploy containerized services on AWS/GCP using Docker and Kubernetes, and build CI/CD pipelines with comprehensive automated testing.…See more ker and Kubernetes, and build CI/CD pipelines with comprehensive automated testing. Monitor production systems, troubleshoot incidents, and collaborate cross-functionally to deliver reliable, low-latency features. Requires 3–6 years of distributed systems experience and proficiency in at least one backend language.

Sr. Director role overseeing SIE's data and AI platform ecosystem, including data infrastructure (streaming, ingestion, warehouse), experimentation platforms, and governance tools.…See more Responsible for defining long-term vision, leading global engineering teams, and ensuring platforms process massive data volumes to deliver insights across gaming, content creation, and enterprise operations. Must drive scalability, cost efficiency, security, and operational excellence while collaborating with senior leadership to align platform strategy with business objectives. Requires proven Sr. Director-level experience and thought leadership in platform architecture, real-time data processing, and ML/AI integration.

Design and implement Infrastructure as Code to automate provisioning, monitoring, and lifecycle management of NoSQL, Streaming, and Caching platforms (Cassandra, Aerospike, Kafka, Redis) across AWS and GCP. Build highly available, self-healing systems with automated failover and scaling, develop comprehensive observability solutions, and lead incident response for critical data platform issues.…See more Drive automation-first practices and apply AI/ML approaches such as anomaly detection and predictive scaling to enhance reliability and reduce manual toil. Partner with engineering and platform teams to ensure resilient infrastructure supporting billions of transactions and millions of players globally.