Top Senior Linux Jobs in San Diego, CA

Lead the IQ Platform engineering team and define the architecture and roadmap for Jasper’s AI context layer. Build scalable knowledge management systems, integrations, and RAG pipelines that improve agent intelligence and reliability. Serve as a player-coach by contributing code, mentoring engineers, partnering with Staff-level technical leaders, and driving major platform initiatives from strategy through delivery.

Diagnose and resolve complex customer issues involving HERE data, APIs, SDKs, and applications. Build AI-powered troubleshooting tools and automation, convert recurring problems into reusable workflows, experiment with Generative AI, and share engineering practices across Technical Support. Requires strong programming, REST API, cloud, distributed systems, troubleshooting, and customer communication skills.

Own the design and implementation of native iOS and Android SDKs supporting mobile device intelligence and fraud detection. Investigate complex systems-level engineering problems, evaluate platform behavior and technical tradeoffs, collaborate with Product, Engineering, Data Science, Fraud Intelligence, and Sales, and establish SentiLink’s mobile engineering capabilities.

Lead design, automation, and operation of BlackLine's cloud-native platform services. Architect Kubernetes-native and serverless systems, design event-driven pipelines, champion security and observability, own CI/CD strategy, mentor engineers, and drive cross-functional platform initiatives.

Designs and maintains automated testing frameworks and test cases to improve product quality, coverage, reliability, and efficiency. Identifies quality gaps and risks, conducts software and process testing, analyzes performance metrics, investigates defects, and implements corrective actions. Collaborates with product, development, and operations teams on process improvements, reviews code and workflows for standards compliance, and provides guidance to junior team members. This is an in-office role based in Austin, Texas, or Madison, Wisconsin.

Build and scale the PSA Liquidity Platform connecting buyers and sellers across PSA Partner Offers and eBay Consignment. Responsibilities include developing buyer tooling, pricing and ranking engines, seller experiences, microservices, distributed event-driven systems, and observability. The role owns end-to-end product delivery, cross-functional execution, technical architecture, ecosystem integrations, and production outcomes while using AI throughout the software development lifecycle.

Architect, build, and optimize a full-stack platform using React.js, Node.js, GraphQL, REST APIs, and SQL databases. Lead technical decisions, performance optimization, observability, testing strategies, and cloud-based deployments. Mentor engineers, conduct design reviews, evaluate technologies, and drive initiatives across multiple teams while collaborating with product, QA, customers, and leadership.

Design and scale Posh’s AWS cloud infrastructure for millions of users. Build infrastructure-as-code, CI/CD pipelines, observability, automation, and developer tooling; improve reliability, security, performance, and cost efficiency. Collaborate with engineering, data, security, and product teams, investigate scaling bottlenecks, and mentor engineers on infrastructure and secure deployment best practices.

Design, develop, optimize, deploy, and maintain high-performance market data and automated trading systems. Process raw market data feeds, implement CME and Cboe exchange protocols, and optimize concurrency, throughput, scalability, and ultra-low-latency performance. Collaborate with traders, quantitative researchers, analysts, and engineers while supporting critical applications, automated testing, peer reviews, and best practices. Coach junior engineers and take ownership of projects from design through maintenance.

Leads sustaining quality engineering for Bevi products by identifying quality issues, driving design changes and corrective actions, implementing APQP and quality processes, qualifying suppliers, conducting root cause analysis, monitoring manufacturing reliability, and presenting quality metrics. Partners with engineering, manufacturing, supply chain, suppliers, customer care, and field service teams to improve product quality and resolve customer-impacting issues.