gcp jobs in San Diego

A Software Integration Engineer at SAIC will design, develop, and deploy a hybrid container/virtualization platform supporting enterprise-scale workloads across on-prem and cloud environments. The role encompasses infrastructure-as-code automation, Kubernetes cluster configuration, DevSecOps practices, and integration of core platform services (identity/SSO, PKI, DNS, logging/SIEM, monitoring, secrets management).…See more Responsibilities include automating verification/validation, establishing CI/CD pipelines and standard operating procedures, supporting GPU-enabled AI/ML workloads, and mentoring junior engineers on cloud-native best practices. The position requires 7–9+ years of experience with cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), virtualization (VMware, Hyper-V, KVM), infrastructure-as-code tools (Terraform, Ansible, Puppet), and DevSecOps toolchains (ArgoCD, GitLab, Jenkins).

Lead hands-on modernization of legacy SSIS/SSRS ETL workloads into cloud-native Lakehouse pipelines using Databricks, dbt, Fivetran, and Airflow. Design and enforce standardized data frameworks (ingestion, transformation, curation, consumption), drive CI/CD and observability practices, and mentor engineers on modern data engineering patterns.…See more Evaluate emerging technologies (Delta Live Tables, Iceberg, streaming, AI-driven observability) through POCs and POVs, and leverage AI-assisted tools (Databricks Assistant, GitHub Copilot, Cursor AI) to accelerate development and reduce technical debt. Optimize Spark workloads and orchestration across Azure and GCP environments while partnering with architects, platform engineers, and business stakeholders.

This entry-level backend software engineer role involves designing, developing, and maintaining microservices and APIs for Qualcomm's Compute Sentra SaaS platform, which powers device management and IoT security. You will implement REST APIs, event listeners, and data models in object-oriented languages (Java, Kotlin, C#), work with relational databases and SQL, and deploy services to cloud environments.…See more The role includes code reviews, testing, debugging, and cross-functional collaboration with product and QA teams, with exposure to modern AI-assisted development tools.

Lead iOS (Swift) Software Engineer for a medical device startup, owning architecture and technical direction for native iOS applications and device-to-cloud interfaces. You'll design and build iOS apps in Swift, develop web services on GCP, lead software decisions across mobile/backend/system integrations, and collaborate with firmware and hardware teams.…See more The role combines senior individual contributor responsibilities with growing engineering leadership as the team scales, including establishing CI/CD pipelines, code review standards, and security best practices.

Entry-level backend software engineer role building cloud-native microservices for Qualcomm's Compute Sentra SaaS platform, which powers device management and IoT security. You will implement REST APIs, event listeners, and data models; write tested code; participate in code reviews; and troubleshoot services in cloud environments.…See more The role emphasizes learning modern development practices, including AI-assisted coding tools, alongside experienced engineers.

The Enterprise AI FinOps Lead establishes financial governance for company-wide AI usage across multi-cloud (Azure, AWS, GCP), SaaS, and on-premise environments. The role owns cost visibility, show-back, optimization, budgeting, forecasting, and stakeholder engagement, with deep responsibility for AI-specific cost drivers such as tokens, models, prompts, embeddings, and RAG systems.…See more The leader translates telemetry into actionable insights, optimization programs, and executive reporting while managing the full departmental budget. This is a hands-on operator role requiring 8+ years in FinOps, cloud cost management, or enterprise finance, with strong analytical, stakeholder management, and executive communication skills.

Qualcomm seeks a Machine Learning Engineer to design, develop, and deploy generative AI solutions focused on Large Language Models, Retrieval-Augmented Generation (RAG), and intelligent agent systems. The role involves implementing RAG-based solutions, optimizing LLM fine-tuning strategies, building evaluation frameworks, and maintaining agentic workflows for autonomous AI systems.…See more The candidate must have strong Python programming skills, practical LLM deployment experience, and familiarity with ML frameworks like PyTorch and TensorFlow, alongside knowledge of vector databases, cloud platforms (AWS, GCP, Azure), and modern MLOps infrastructure.

Lead large-scale technical program management across Petco's ecommerce, digital platforms, and veterinary services technology initiatives. Manage a team of TPMs and program managers, driving delivery using Agile and hybrid methodologies while ensuring alignment between technology investments and business outcomes.…See more Partner with engineering, product, and executive leadership to deliver complex enterprise initiatives involving cloud platforms, APIs, distributed systems, and customer-facing applications. Establish program governance, manage cross-functional dependencies, track KPIs, and ensure security, compliance, and operational readiness.

Senior Software Engineer on the Pyxis ES Development team, responsible for designing and implementing scalable enterprise software solutions in microservices-based architectures. The role requires 5+ years of coding experience in languages like Python, Java, Go, C, or C++, with hands-on expertise in modern web technologies (React, Node.js, Spring, Ruby), containerization, messaging platforms (Kafka, RabbitMQ), and relational databases.…See more You will conduct software testing and evaluation, provide technical documentation, participate in design reviews, and work collaboratively with cross-functional teams in Agile environments. Strong analytical and problem-solving abilities, plus experience with cloud platforms and infrastructure-as-code tools, are essential.

Senior Software Engineer role focused on building scalable payment infrastructure and banking integrations. Responsibilities include designing and implementing core platform services and APIs, building secure integrations with financial institutions, ensuring high availability and system reliability, and collaborating across teams on fintech solutions.…See more Requires 5+ years of backend systems experience with strong proficiency in Java, Spring, Kubernetes, microservices architecture, and cloud platforms (AWS, GCP, or Azure), plus understanding of payments processing, financial compliance, and security best practices.

Entry-level database administrator role focused on SQL development, ETL, and data management. Responsibilities include writing and optimizing SQL queries, designing and maintaining relational databases, performing data extraction and transformation, troubleshooting database issues, and supporting data-driven business decisions.…See more The role requires SQL proficiency, familiarity with relational databases (SQL Server, Oracle, MySQL, PostgreSQL), understanding of database concepts and normalization, and basic data analysis skills.

Build and deploy production-grade AI models that power Petco's e-commerce platform, including personalized recommendations, demand forecasting, and price optimization. Design and maintain robust MLOps pipelines for automated model retraining, monitoring, and 24/7 reliability across web and mobile.…See more Partner with Software Engineering and Mobile teams to integrate AI features into production systems, and mentor junior engineers on ML engineering best practices. Experiment with emerging technologies like Generative AI and LLMs to drive business impact.

As a Forward Deployed Engineer IV in Applied AI at Google Cloud, you will lead end-to-end engineering for production conversational AI systems, transforming prototypes into scalable agentic workflows deployed at customer sites. You'll architect multi-agent systems using frameworks like ReAct, optimize RAG implementations, debug agent logic across microservices, and connect AI systems to enterprise infrastructure.…See more The role requires 8+ years of software development (Python or similar), experience with infrastructure-as-code (Terraform), cloud platform deployment (GCP), and hands-on full-stack application development. You'll travel up to 50% and work directly with customers to establish production AI journeys while identifying patterns that feed back into product improvements.

Director-level role managing infrastructure and operations for a healthcare systems company. Responsible for leading on-premises data center and enterprise facilities infrastructure, overseeing Windows/Linux servers, virtualization (VMware), SAN/NAS storage, disaster recovery, cloud platforms (Azure, AWS, GCP), networking (LAN/WAN, SD-WAN, firewalls, DNS, DHCP), identity and access management, and infrastructure monitoring.…See more Requires 10 years of subject-matter expertise, 8 years supervisory experience, and deep knowledge of IT service management, infrastructure automation, and compliance.

Lead a Data Engineering team to establish modern DataOps and CI/CD practices, mentor engineers in PySpark, SQL, dbt, Fivetran, and cloud-native development, and design scalable data infrastructure across GCP, Azure, and AWS cloud data warehouses (BigQuery, Snowflake, Databricks). Manage technical delivery, collaborate across enterprise teams to develop end-to-end data solutions, and align data initiatives with business goals while remaining current on industry trends.See more

Software Engineer II responsible for operating and improving large-scale SQL, NoSQL, streaming, and caching platforms (Cassandra, Aurora, Aerospike, Kafka, Redis, DynamoDB, ElastiCache) with a focus on reliability, automation, and observability. Build self-service developer experiences using Terraform and infrastructure-as-code, participate in on-call incident response, and develop APIs and automated tests for infrastructure tooling.…See more Requires 3+ years in software engineering, database reliability engineering, SRE, or platform engineering, with hands-on Go experience, Terraform proficiency, AWS/GCP knowledge, and Kubernetes familiarity.

Design, build, and operate production ML systems across the full lifecycle—from data preparation and model training through deployment, monitoring, and continuous improvement. Partner with data scientists, software engineers, and platform teams to turn research prototypes into reliable, scalable services.…See more Work across recommendation, ranking, forecasting, classification, NLP, and generative AI depending on product priorities. Balance model quality, inference latency, scalability, and operational resilience as equally important outcomes.

The Bioinformatics Test Engineer will design and execute comprehensive testing strategies for NGS (Next Generation Sequencing) data pipelines, including alignment, variant calling, and annotation workflows. Responsibilities include data validation, regression testing, automated test script development in Python, and collaboration with CI/CD pipelines and cloud-based systems.…See more The role requires deep knowledge of NGS file formats (FASTQ, BAM, VCF), proficiency in Python scripting, hands-on experience with Git and CI/CD tools, and familiarity with cloud platforms (AWS/GCP/Azure) to ensure data accuracy and pipeline reliability.

A Senior DevOps Engineer will design, build, and maintain cloud infrastructure and CI/CD pipelines for a clinical-trial SaaS platform on Azure and AWS. The role spans infrastructure-as-code (Terraform), container orchestration (Kubernetes, Docker), CI/CD automation (GitHub Actions, Jenkins, Azure DevOps), and monitoring/observability, with responsibility for zero-trust security, microservice scaling, and platform reliability.…See more The engineer will collaborate with software teams to architect cloud-native deployments and research emerging technologies to enhance platform performance. The position also involves some server-side application development support using Node.js and Python, and familiarity with LLMs for DevOps automation is a plus.

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.

Software Engineer II responsible for operating and improving large-scale data platforms (SQL, NoSQL, streaming, caching) with a focus on reliability, automation, and developer experience. The role involves building self-service infrastructure tooling, contributing to observability and SLO definitions, participating in on-call rotations, and automating infrastructure provisioning using Terraform.…See more Requires 3+ years of software or infrastructure engineering experience, production Go development, hands-on Terraform expertise, and deep knowledge of distributed systems concepts and operational practices.

Staff IT Cloud Engineer at Qualcomm responsible for designing, implementing, and operating enterprise cloud environments across AWS, OCI, and Azure. Establish CI/CD/GitOps operating models, manage Kubernetes platforms, drive cloud governance and FinOps practices, and mentor engineers on infrastructure modernization and platform reliability.…See more Requires 10+ years of cloud/DevOps experience with advanced Terraform, Kubernetes, and enterprise cloud platform expertise; strong hands-on background in AWS, OCI, or Azure with deep understanding of cloud networking, security, and observability.

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.

Lead a team of security engineers responsible for the operational effectiveness and innovation of security engineering controls across LPL Financial. Manage day-to-day operations and maintenance of critical security infrastructure including SIEM, EDR, DLP, vulnerability management, IAM systems, and network security appliances.…See more Drive continuous improvement initiatives, develop incident response playbooks, collaborate with engineering teams on security integration, and provide technical leadership and mentorship to junior engineers. Requires 10+ years in information security with at least 5 years in a security operations or engineering leadership role.

Design and improve autonomous AI trading systems deployed in financial markets, with core work on model architectures, training frameworks, and performance evaluation. You'll integrate novel data sources, optimize models for measurable accuracy gains and reduced training time, and build monitoring systems to detect anomalies in live trading strategies.…See more Requires strong ML fundamentals with hands-on experience in PyTorch, TensorFlow, or JAX, feature engineering, and model optimization; minimum 2 years of ML development experience preferred.