Top Linux Jobs in San Diego, CA

Leads engineering vision and execution for a scalable B2B brokerage platform. Responsibilities include solution architecture, platform and ledger capabilities, strategic product delivery, engineering team leadership, AI and automation adoption, cross-functional collaboration, and operational excellence. The role requires expertise in distributed systems, microservices, cloud and container technologies, Java, Kafka, databases, financial services technology, brokerage platforms, and modernization of legacy systems.

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.

Develop production robotics perception software for manufacturing environments. Responsibilities include 3D geometry reconstruction, segmentation, inspection, active perception, viewpoint planning, multi-sensor fusion, GPU acceleration, hardware-software integration, debugging, and deployment support. The role works directly with physical robots and sensors, assists application teams with proofs of concept and deployments, and travels to customer sites for system-level troubleshooting.

Run and scale production cloud infrastructure for a global IoT virtual-fencing platform. Responsibilities include AWS infrastructure, database performance, profiling, load testing, monitoring, incident response, capacity planning, infrastructure as code, CI/CD automation, multi-region deployments, and platform reliability. The role also supports North American operations, collaborates with global R&D teams, investigates telemetry workloads, and develops tooling using Python or Node.js.

Defines enterprise-scale architecture, technical standards, and design patterns across multiple domains. Partners with engineering, product, and business leaders to solve complex systemic challenges, guide cloud and distributed-systems decisions, and align architecture with company strategy. Establishes responsible AI adoption practices across the software lifecycle, leads knowledge sharing, and drives scalable, secure, resilient engineering practices using modern cloud, automation, and software development technologies.

Lead company-wide strategy for software quality, production reliability, and safe delivery. Build shared platform capabilities for release safety, observability, validation, testability, and developer self-service. Identify systemic risks, improve resilience and failure recovery, define reliability metrics, lead cross-functional technical programs, influence architecture without direct authority, and mentor engineers and technical leaders.

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.

Own cloud infrastructure, EKS, AWS systems, CI/CD pipelines, preview environments, observability, security, and compliance. Build developer tooling and internal applications, while leading AI adoption across Engineering through agent workflows and custom solutions. Support product analytics and data science pipelines, collaborate closely with internal stakeholders, and maintain platform reliability end to end.

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.

Lead technical deployments of an AI-powered workplace safety platform across industrial facilities. Responsibilities include configuring edge devices, IP cameras, video management systems, industrial protocols, cloud connectivity, network architectures, and safety monitoring rules. The role conducts technical assessments, troubleshoots multi-vendor environments, supports proofs of concept, coordinates go-lives, documents solutions, and collaborates with customers, sales, implementation, engineering, product, and security teams. Travel to customer sites may comprise 50–60% of the role.