Top Linux Jobs in San Diego, CA

Configure, integrate, and deploy the BT tool stack (Snowflake, Salesforce, Streamlit, workflow tools). Build integrations and Streamlit apps, deploy AI-enabled automations, maintain Snowflake data models and reports, catalog assets with DataHub, implement SDLC/testing/guardrails, ensure data security, and partner with Engineering/InfoSec while mentoring BT team members.

Lead the entire engineering organization: set technical vision, architecture, and operating model; recruit and develop managers; own delivery, reliability, security (SOC 2), budgeting, and metrics; improve velocity while reducing technical debt; partner with product and execs to drive roadmap and org-scale decisions.

Responsible for developing and integrating MBSE models for spacecraft and ground systems throughout the product lifecycle. Engaging with stakeholders and maintaining interface control data, while also ensuring system reliability and performance.

You will develop and launch products for dental offices, working directly with customers to provide AI-powered solutions. The role includes full stack development with a focus on rapid shipping and iteration based on user feedback.

Lead enterprise architecture strategy for a global payments platform. Establish architecture standards, modernize legacy systems, guide cloud-native and microservices adoption, mentor architects, enable governance, advise the CTO on technology investments, and drive platform scalability, security, and compliance across global engineering teams.

Maintain and improve Bazel-based build workflows and CI/CD pipelines to boost developer experience and reliability. Own build performance, remote caching/execution, test sharding, and tooling for a multi-language monorepo. Build internal automation, diagnose CI flakiness, support container and Python packaging workflows, and collaborate with developers, researchers, and platform teams to accelerate delivery.

Lead and grow a software engineering team owning delivery, quality, and operational health. Provide technical oversight for architecture and code quality, drive planning and execution cadence, adopt AI-assisted development tooling, recruit and onboard engineers, remove blockers and manage cross-team dependencies, and partner with product and design to deliver high-impact work.

Manage the lifecycle, security, reliability, and cost optimization of large-scale AWS infrastructure. Responsibilities include patching and upgrades, vulnerability remediation, automation with scripting and infrastructure tools, incident response, troubleshooting, monitoring, and compliance. The role requires extensive AWS experience across multi-account environments, Kubernetes and Terraform expertise, operational scripting, cloud security hardening, and monitoring with tools such as Datadog or CloudWatch.

The role involves ensuring software reliability and performance, managing incidents, developing infrastructure automation, and mentoring junior engineers within a platform team.

Develop foundational systems for Kepler's AI platform, including building execution infrastructure, evaluation systems, and integrating AI into production environments. The role requires strong backend engineering skills and experience in AI/ML systems.