Top Remote Linux Jobs in San Diego, CA

The Lead Software Developer will oversee a team developing clinical trial software, manage project deliveries, and engage hands-on in coding and system design, ensuring high-quality output and mentoring team members.

The Senior Software Engineer II will design backend systems in Go, develop full-stack features with React/TypeScript, provide technical leadership, collaborate across teams, and maintain systems in production.

Lead testing, validation, and documentation of AutoContour software, ensuring quality and compliance with clinical and regulatory standards while collaborating with various teams to troubleshoot and improve the product.

Lead design and implementation of ServiceNow solutions, oversee enterprise workflows, and integrate Agentic AI within ServiceNow ecosystems.

Lead infrastructure teams, oversee operations, drive major infrastructure initiatives, mentor engineers, and establish operational excellence while ensuring reliability and performance.

Design, implement, and deploy platform features and services (APIs, backend, integrations) using Kotlin/Python. Work with microservices, relational and non-relational data stores, monitoring, and live environment incident response. Collaborate with cross-functional teams, advocate engineering best practices, and mentor junior engineers.

Lead the technical delivery of LivePerson solutions, manage APIs and integrations, advise customers, and drive technical initiatives for adoption and satisfaction.

As a Solutions Engineer, you will implement Apache Airflow across diverse organizations, optimizing data workflows and serving as a trusted advisor for customers. Responsibilities include educating clients, enhancing technical expertise, and collaborating on engineering solutions.

The Director of Engineering leads technical strategy and delivery, manages teams and vendor relationships, and ensures engineering excellence while integrating AI practices within the engineering organization.

The Senior DevSecOps Consultant will optimize AWS cloud infrastructure for data lakes, manage Kubernetes deployments, and maintain Infrastructure as Code with Terraform, ensuring security practices and cross-team collaboration in a remote setup.