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.… 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.
gcp jobs in San Diego
Senior Software Engineer role on the Core Infra Systems team, responsible for owning cross-cutting infrastructure initiatives across AWS, GCP, and networking pillars. You will build self-service tooling and paved-road defaults that enable product teams to provision and operate cloud infrastructure safely, drive standardization across Coinbase's multi-cloud environment, and embed security and compliance guardrails into infrastructure provisioning.… Requires 5+ years of software engineering with 3+ years building and operating production cloud infrastructure on AWS and/or GCP, hands-on experience with cloud networking primitives, proficiency in backend languages like Go or Python, and demonstrated ability to drive cross-team technical initiatives.
Senior software engineer responsible for designing, developing, and maintaining cloud-based backend systems and data pipelines for medical device software at Dexcom. You'll build distributed systems, APIs, and ETL/ELT pipelines that ingest and transform large-scale data, integrate AI insights, and serve internal systems and external partners.… The role requires 5–8 years of experience with general-purpose programming (Java/Kotlin/Scala preferred), cloud platforms (AWS/Azure/GCP), CI/CD, and data platform architecture, with mentorship of junior engineers expected.
Director of Engineering Program/Project Management responsible for owning the Pyxis Logistics product portfolio strategy, roadmap, and execution across legacy and next-generation cloud platforms. Lead cloud transformation initiatives including modern development practices (Agile, DevSecOps, CI/CD), architecture, cybersecurity, and SaaS operations.… Own program success (scope, budget, schedule, quality, risk), manage cross-functional teams across R&D, Product, Quality, Regulatory, Operations, and Commercial, and balance sustaining engineering with new product development and strategic cloud migration.
Join XiFin's Advanced Data Analytics team as an Associate Machine Learning Engineer to design, develop, and deploy machine learning models with a focus on LLMs, Generative AI, and Agentic AI in healthcare and revenue cycle domains. You will contribute to MLOps pipelines, perform data preparation and prompt engineering, collaborate with cross-functional teams, and validate models for production use.… The role requires a Bachelor's degree in Computer Science, Data Science, or related field, with proficiency in Python, ML libraries (scikit-learn, TensorFlow, PyTorch), and foundational knowledge of GenAI architectures, vector databases, and LLM orchestration frameworks.
Design and build production AI systems integrated into enterprise workflows, owning the full stack from APIs and backend services through cloud infrastructure, data pipelines, and AI components. Lead multidisciplinary engineering teams, make architectural decisions across cloud platforms (AWS, Azure, GCP), containers, serverless, and infrastructure-as-code, while building agentic systems with tools, memory, and safety controls.… Own DevSecOps practices including CI/CD automation, security scanning, and incident response. Require 5+ years of production software engineering, full-stack development across multiple layers, hands-on experience with a major cloud platform, and proficiency in languages like Java, Python, Go, TypeScript, or C#.
Lead iOS Software Engineer for a medical device startup, responsible for owning iOS application architecture and technical direction using Swift, designing native iOS apps, developing web services and device-to-cloud interfaces (preferably on GCP), and establishing CI/CD pipelines and engineering standards. You'll collaborate across firmware, hardware, and backend teams while conducting code reviews and ensuring security and maintainability.… The role combines senior individual contributor technical ownership with a path toward broader engineering leadership as the team scales.
Forward Deployed Engineer who embeds with clients to identify business needs and translate high-value GenAI use cases into production solutions. Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms, delivering production-quality code with strong testing, CI/CD, logging, and documentation practices.… Lead working sessions, prototype solutions, and mentor team members while balancing architecture decisions around quality, safety, latency, cost, and model risk. Requires 3+ years software/data engineering experience, 1+ years hands-on GenAI/LLM deployment, and 1+ years with Microsoft AI & Data (Azure AI Foundry).
Senior AI Engineer role focused on designing and leading scalable, high-performance data architecture solutions that support AI/GenAI use cases. The role involves building and optimizing data pipelines, defining database schemas (Graph, SQL, NoSQL), and leading infrastructure for AI model deployment across cloud and on-premises environments.… Requires 4+ years in data engineering/MLOps with hands-on AWS/Azure/GCP experience, 2+ years managing technical teams, and expertise in DevOps, CI/CD, containerization (Kubernetes, Docker), and ML deployment frameworks. The position includes mentoring junior engineers and driving technology modernization initiatives.
A Technical Manager leading Google Gemini (GECX) implementations for enterprise customers, overseeing onshore and offshore delivery teams, managing client relationships with senior stakeholders, and driving business development. The role requires hands-on end-to-end delivery experience with GCP Gemini Enterprise for Customer Experience, including conversational agents (Dialogflow CX), Agent Assist, Quality AI, and contact center analytics platforms (BigQuery, Looker).… Responsibilities span project design, team building, best-practices advisory, quality assurance, proposal development, and staff mentoring across large-scale digital transformation engagements.
This is a hands-on Solution Architect role for an AI-enabled Managed Services team, requiring deep technical expertise in designing end-to-end application architectures spanning UI, APIs, services, data, and AI components. The role combines hands-on coding and prototyping with architecture ownership, emphasizing active participation in codebases, AI tool evaluation, and guiding engineering teams through complex technical decisions.… Key responsibilities include designing reference architectures for AI patterns (RAG, vector search, prompt orchestration), defining non-functional requirements (performance, reliability, security), architecting CI/CD pipelines, and ensuring production readiness. The ideal candidate has 8+ years of software engineering experience, strong cloud-native and modern application architecture knowledge, practical AI feature development, and comfort working directly in code and infrastructure.
Lead security operations and threat detection engineering for enterprise clients using Google SecOps (Chronicle SIEM and Siemplify SOAR). Design and deploy log ingestion pipelines, develop threat detection rules, translate SOC processes into automated playbooks, and manage integrations across security platforms.… Mentor junior SOC engineers and collaborate with threat detection teams to reduce alert fatigue and scale response capabilities.
As a Research Cybersecurity Analyst, you will review research contracts, proposals, and data-use agreements to identify security and compliance requirements, then conduct risk assessments and recommend practical safeguards. You will coordinate security controls across cloud and on-premises research environments, assess architectures for identity management, encryption, and network segmentation, and develop compliance documentation (SSPs, POA&Ms) for sponsor audits and CMMC readiness.… You will work with researchers, IT teams, and compliance partners to interpret regulatory requirements, map them to controls, and explain technical security obligations in practical terms to non-technical stakeholders. Experience in NIST frameworks, security assessments, vulnerability management, and regulated environments (higher education, research, healthcare, government, defense) is especially valued.
This role supports research teams at a university by reviewing security requirements in research contracts and proposals, conducting risk and compliance assessments, and recommending practical security approaches. The analyst will coordinate security controls across cloud and on-premises research environments, assess security architectures and configurations, and develop compliance documentation including SSPs and POA&Ms.… The role requires interpreting cybersecurity frameworks (NIST SP 800-171, CMMC, NIST SP 800-53) and communicating technical requirements to researchers and non-technical stakeholders across identity and access management, encryption, vulnerability management, and network security.
Systems Network Engineer II will design, configure, and troubleshoot Layer 2/3 networks, firewalls, VPNs, and network security controls in cloud and on-premises environments. The role requires strong foundational networking skills including TCP/IP, routing, switching, VLANs, and hands-on troubleshooting of connectivity and performance issues.… The engineer will document network topology, maintain security posture through hardening and access controls, and collaborate with cloud, cybersecurity, and infrastructure teams. Preferred experience includes cloud networking (AWS/Azure/GCP), Kubernetes/container networking, infrastructure automation (Terraform/Ansible/Python), and Zero Trust architecture.
Research Cybersecurity Analyst at San Diego State University responsible for reviewing research proposals, contracts, and data-use agreements to identify cybersecurity and compliance requirements; conducting risk assessments and recommending remediation strategies; coordinating security controls across cloud and on-premises research environments; and developing compliance documentation (SSPs, POA&Ms) to support audits and assessments. The role requires interpreting security frameworks (NIST SP 800-171, CMMC, NIST SP 800-53) and communicating technical requirements to researchers and non-technical stakeholders while evaluating security architectures, access controls, encryption, and vulnerability management.
Senior Bioinformatics Engineer responsible for designing, building, and operating production-grade, end-to-end bioinformatics pipelines that process and interpret large-scale genome cohorts. The role involves deep expertise in genome assembly, variant calling, structural-variant calling, haplotype phasing, and pangenome analysis, with the ability to select, adapt, and benchmark state-of-the-art algorithms.… Requires proficiency in Python and compiled languages (C++/Rust/Go), containerization (Docker/Singularity), workflow managers (Nextflow/Snakemake/WDL), and cloud environments (AWS/GCP). The position combines applied research—exploring AI approaches for biological insight—with continuous improvement of algorithms, code, and computational infrastructure, while mentoring junior staff in a startup environment.
Lead a team of security engineers (staff, senior staff, principal levels) owning product security across Intuit's ecosystem, including security reviews, design consults, and risk evaluations. Transform security processes from manual to automation/agent-first, defining baseline controls and security standards for cloud platforms (AWS, GCP, Azure) while raising the bar for AI/agentic systems.… Partner with business and engineering leaders to surface risks early, inform decisions, and drive adoption of security controls across large organizations. Requires 8+ years in security engineering, 3+ years managing managers, deep technical expertise in application security and threat modeling, and demonstrated experience rebuilding security programs with hands-on automation.
The Cloud Optimization Engineer – FinOps will manage hybrid cloud spend across private and public cloud environments, using Flexera to monitor costs and deliver monthly reporting and dashboards to stakeholders. The role involves analyzing cloud architectures and workload patterns to identify cost drivers, building and automating data pipelines and cost models, and implementing cost optimization actions such as rightsizing and reservations.… You will collaborate hands-on with engineering teams, develop forecasting models, enforce tagging and governance standards, and drive FinOps best practices across the organization. The position requires 5+ years of FinOps and cloud financial management experience, proficiency in Azure or GCP, and advanced skills in Excel, SQL, Python, and PowerShell.
Senior manager responsible for leading Deloitte's identity and access management (IAM) managed services delivery across multiple client accounts. The role requires 10+ years of IAM experience with 5+ years in managed services or IT operations leadership, hands-on expertise with platforms like SailPoint, CyberArk, Okta, or Entra ID, and the ability to drive service improvement through automation and modernization.… Responsibilities include account ownership, executive governance, financial performance management, team mentorship, and business development activities such as contract renewals and proposal response.
Lead a team of data scientists at Insulet's Analytics Center of Excellence, managing the execution of global analytics and AI initiatives while maintaining hands-on expertise in data science work. You will mentor scientists, guide development of cloud-based analytics pipelines and automated machine learning solutions, and coordinate with cross-functional stakeholders across R&D, clinical, quality, and manufacturing to identify and deliver high-value data science opportunities.… The role requires a Master's degree with 5+ years in data science (or PhD with 3+), 2+ years in machine learning/AI, direct team management experience, and proficiency in Python/R, SQL, cloud platforms (Azure/AWS/GCP), and big data technologies like Spark/Databricks. You'll perform statistical analysis, predictive modeling, and communicate insights to executives while owning the data products portfolio and managing annual budgets.
ServiceNow seeks a Staff Software Engineer (IC4) for their Data Platform Engineering organization to design, build, and operate cloud-native platform components and services on Kubernetes at scale. You will own well-scoped projects end-to-end, from design through production, collaborating with senior engineers and mentoring junior team members.… The role requires 8+ years of software development experience, 5+ years hands-on with Kubernetes, expertise in at least one major hyperscaler (AWS, Azure, GCP), and strong Go programming skills. You will focus on building operators, controllers, automation, and platform services that other teams depend on, with emphasis on reliability, scalability, operability, and infrastructure-as-code practices.
Senior Staff Software Engineer leading design and delivery of multi-tenant, distributed data platform services on Kubernetes at scale. You will mentor mid-level and junior engineers, architect highly available stateful workloads (databases, message queues, caches), and integrate AI into infrastructure and operational workflows.… The role requires 8+ years building production distributed systems, deep expertise in Kubernetes and at least one hyperscaler (AWS, Azure, GCP), and hands-on experience operating services like Postgres, Kafka, or Redis at scale with explicit HA, failover, and durability targets.
Principal Engineer leading AI-native application development across Intuit's products (TurboTax, Credit Karma). Drives end-to-end technology initiatives, designs scalable distributed systems, and applies AI/LLM technologies to customer problems.… Requires 8+ years developing software for large enterprises, 5+ years designing complex distributed systems, full-stack development experience with AI tools, and proficiency across front-end (React, Angular, SwiftUI, Kotlin), back-end (Java, TypeScript, Spring, Express), and cloud platforms (AWS, GCP).
As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on AI agents and platforms across the Software Development Lifecycle. You'll develop scalable, reliable systems with strong proficiency in backend technologies (Java, Go, Python), design RESTful APIs, work with SQL/NoSQL databases, and apply AI/ML technologies including agentic AI and LLMs.… The role requires 5+ years of experience in backend services, distributed systems, or data platform development, with hands-on expertise in Kubernetes, containerization, and cloud platforms. You will collaborate with cross-functional teams, mentor engineers, and stay current with emerging AI/ML and cloud-native technologies.