Top Remote Linux Jobs in San Diego, CA

Owns day-to-day database operations and backup/recovery for a large multi-account AWS environment. Maintains RDS, Aurora, and self-managed databases, validates backup restoration, executes disaster-recovery runbooks, and collaborates with infrastructure, security, Kubernetes, networking, and cloud architecture teams. Supports escalations from a 24x7 monitoring team and helps advance managed services and Cloud Center of Excellence capabilities.

Build Python backend services and data-intensive systems supporting member identity, eligibility, billing, partner integrations, reporting, and analytics. Design APIs, asynchronous workflows, and data pipelines; validate, reconcile, retry, replay, and recover inconsistent external data. Improve production reliability, observability, testing, and performance while collaborating with Engineering, Product, and Operations. The role offers growth toward independent ownership of services and technical decisions.

Leads enterprise digitalization, automation, AI, and IT/OT integration strategy for an integrated steel plant. Oversees plant automation systems, MES, ERP, industrial IoT, data infrastructure, cybersecurity, and AI/ML adoption across operations. Builds cross-functional digital and automation teams, establishes governance, manages technology partners, drives change management, and presents transformation progress to executive leadership and the board.

Leads production delivery of intelligent, full-stack solutions across data pipelines, APIs, applications, infrastructure, and ML systems. Acts as the primary technical client contact, translates architecture into delivery decisions, manages technical risk, and leads a cross-functional squad of engineers and data scientists. The role combines hands-on engineering with mentoring, code reviews, architecture, product scoping, and client-site implementation in regulated and critical-infrastructure environments.

Build and improve full-stack features for a legal AI platform. Responsibilities include frontend and backend development, responsive interfaces, data models, APIs, integrations, data pipelines, testing, deployment, observability, debugging, and performance improvements. The engineer will work directly with users, own projects end to end, make architectural tradeoffs, and help shape product direction in an early-stage company.

Designs and delivers data architectures for complex enterprise customers. Leads discovery, profiles warehouse data, creates schemas and identity-matching rules, directs agent-assisted transformations, validates performance and business outcomes, and builds semantic layers and business logic for marketing activation. The architect owns implementation quality, customer alignment, reusable reference architectures, and ongoing technical guidance while informing product teams about platform gaps.

Design, develop, secure, and maintain mission-critical Microsoft-platform software for DoD programs. Build C# and .NET applications, responsive JavaScript and EXT JS interfaces, REST APIs, and optimized SQL Server databases. Apply secure coding, STIG, RMF, threat modeling, vulnerability remediation, documentation, and compliance practices. Integrate Kiro AI capabilities, collaborate with cybersecurity and engineering teams, and support deployment and sustainment in classified or controlled environments.

Build Exoware’s production infrastructure from the ground up, including deployment, scaling, upgrades, recovery, CI/CD, monitoring, telemetry, security, and operational tooling. Design reliable systems across Kubernetes, ECS, cloud services, networking, and storage while writing software to automate operations. The role requires architectural ownership, production infrastructure experience, and the ability to improve the underlying distributed systems through production insights.

Leads enterprise software architecture and development across the product lifecycle. Defines technical direction, designs secure and scalable solutions, guides hands-on engineering, and drives modernization, automation, integrations, infrastructure-as-code, testing, reliability, and operational excellence. Collaborates with product, quality, and business stakeholders while mentoring engineers and managing delivery execution.

Leads the engineering organization responsible for modeling, rendering, simulation, distributed computing, and quality. Owns platform roadmap execution, manages engineering managers, accelerates AI-assisted software development, improves delivery and testing processes, and balances zero-to-one product development with ongoing releases. Partners with Product and represents platform engineering to company leadership. Requires deep technical credibility and a proven record of organizational transformation, product delivery, and engineering leadership.