Top Linux Jobs in San Diego, CA

Own end-to-end deployment of AI-powered workflows for a strategic private-capital customer. Build and operate production systems for deal intake, scoring, account mapping, portfolio reporting, and pipeline management; integrate Salesforce, DealCloud, SharePoint, and other data sources; debug live systems; advise customer executives; and translate field insights into product direction and repeatable deployment frameworks.

Designs, develops, supports, and documents custom applications, reports, and online data collection tools. Works with customers to define requirements, evaluates implementation options, and uses Python, .NET, SQL, PowerApps, Power BI, Salesforce, Tableau, and other platforms. Provides reporting-tool support and training, assists with software-system research and implementation, and supports internal and external Salesforce users.

Performs specialized software quality engineering work within product development, contributing to product specifications, designs, testing, and improvement projects. Collaborates with customers, developers, and stakeholders; leads project teams, mentors junior engineers, applies quality methodologies, solves complex problems, and serves as a best-practice resource.

Tenure-track Assistant Professor responsible for teaching, conducting research, mentoring students, and providing university service. Research emphasis includes semiconductor electronics, photonics, materials, power devices, artificial intelligence, neuromorphic computing, quantum computing, and MEMS. The faculty member will develop a funded research program, collaborate across disciplines, use advanced semiconductor research infrastructure, and teach and advise undergraduate and graduate students in person.

Own Alkira’s global platform infrastructure, including Kubernetes clusters, CI/CD systems, shared databases and storage, service lifecycle, disaster recovery, Terraform modules, observability, and production tooling in Go or Python. Drive architectural decisions, cost reduction, reliability, security, and multi-team platform adoption while mentoring engineers and participating in on-call support.

Leads enterprise quality engineering strategy, QA team development, testing governance, automation, metrics, defect management, and release readiness. Oversees testing for applications, APIs, digital platforms, enterprise systems, and third-party implementations. Partners with Product, Development, Architecture, Security, business stakeholders, and vendors to improve quality, manage risks, and ensure solutions meet technical, regulatory, accessibility, security, performance, and member experience requirements.

Senior hands-on architect and engineering leader responsible for designing and delivering API, microservice, middleware, and data integration solutions for wealth and asset management platforms. Partners with product, data, security, and vendor teams to build secure, resilient, observable integrations involving Canoe, Snowflake, Addepar, and related reporting and portfolio systems while ensuring regulatory compliance, architecture governance, and production support.

Responsible for secure Azure cloud setup, monitoring, administration, architecture, and operational stability of digital products. Manages code and infrastructure releases through CI/CD, automates and optimizes delivery processes, resolves live-operation incidents, and supports error analysis. The role also collaborates with Product, Application Development, and IT Operations teams while applying DevOps, automation, cloud security, Docker, Kubernetes, YAML, and Terraform expertise.

Leads enterprise quality engineering and DevOps architecture, including Azure DevOps pipelines, CI/CD quality gates, test automation, governance, and AI-assisted testing. Defines SDLC and QA standards, integrates UI, API, performance, and data validation testing, modernizes manual QA practices, and partners with engineering and platform teams on shift-left and shift-right quality. Mentors QA and DevOps engineers, evaluates tools, improves deployment reliability and quality metrics, and establishes quality controls for AI agents and bots.

Lead the design and development of Neurelo's architectural vision with a focus on Rust, building scalable, reliable systems and collaborating effectively across teams.