cloud-computing jobs in San Diego

Staff Software Engineer driving significant technology initiatives end-to-end across multiple architectural layers at Intuit. Architect and develop scalable, secure, maintainable applications using microservices, containers, and cloud platforms while proactively integrating AI technologies.…See more Mentor junior engineers on software engineering best practices, AI integration, and technical expertise. Launch AI integrations in production, evaluate impact using metrics, and stay abreast of industry best practices to solve critical customer problems.

Staff Software Engineer driving significant technology initiatives end-to-end across multiple architecture layers at Intuit. Responsible for architecting and developing scalable, secure applications using microservices and cloud technologies, with a focus on integrating AI models (LLM prompting, AutoML) into production systems.…See more Will mentor junior engineers on software best practices and AI integration, evaluate AI performance metrics, and stay current with emerging technologies. Requires 7+ years delivering enterprise-class applications with strong full-stack capabilities spanning front-end (JavaScript), mid-tier (Java), databases (SQL/NoSQL), and cloud/container platforms (Kubernetes, cloud environments).

Staff Software Engineer responsible for driving significant technology initiatives end-to-end across multiple architecture layers, designing and developing scalable, secure applications that solve critical customer problems. The role requires architecting microservices-based systems, integrating AI technologies (LLMs, AutoML) into production applications, and mentoring junior engineers on software best practices.…See more Candidates must have 9+ years of enterprise application development experience with proficiency in JavaScript, Java, Kubernetes, SQL/NoSQL databases, CI/CD pipelines, and practical AI integration skills including LLM prompting and production performance monitoring.

Leidos seeks a Sensing Algorithm Engineer to research, develop, and implement novel algorithms for remote sensing applications. The role involves prototyping algorithms in Matlab or Python, implementing efficient C software, conducting performance testing and analysis, and documenting results for customers.…See more The ideal candidate has a BS/MS/PhD in physics, engineering, or mathematics with 4–8 years of experience, fluency in high-level languages, strong signal processing knowledge, and understanding of probability, statistics, linear algebra, and physics. The position requires an active Top Secret security clearance and full-time on-site work in San Diego, CA.

As Principal Software Engineer for AI & Data Platform, you will architect the data foundation for scientific and engineering R&D platforms, designing scalable data processing patterns, ML training pipelines, and intelligent workflow interfaces. You will own end-to-end responsibilities including data modeling for multi-use analytics and ML, building production training and fine-tuning pipelines, model evaluation and benchmarking, and setting engineering standards for the team.…See more The role requires 10+ years shipping production software, expert-level Python, deep experience with large-scale data systems (object storage, analytical processing, training formats), hands-on ML pipeline development, and the ability to set technical direction in early-stage environments while implementing it yourself.

AWS seeks a Solutions Architect to help customers design and implement cloud computing solutions, with responsibility for technical engagement on implementation projects, architecture guidance, and thought leadership. The role requires deep expertise in AWS services (EC2, S3, RDS, CloudFront) and security best practices, alongside the ability to communicate technical strategy to both customers and internal teams.…See more Candidates should have 5+ years of IT implementation or consulting experience, with 4+ years in a specific technology domain such as software development, cloud computing, systems engineering, or infrastructure.