Top Remote Linux Jobs in San Diego, CA

Lead the engineering team responsible for Honeycomb Private Cloud, including infrastructure, tooling, operational processes, customer deployments, and enterprise support. Partner across engineering, sales, field engineering, and support; prioritize roadmap tradeoffs; maintain operational health; and grow the team through hiring and onboarding. The role requires technical leadership across Kubernetes and AWS, customer-facing collaboration, production on-call experience, and software delivery in private cloud, on-premises, BYOC, or managed single-tenant environments.

Develop and maintain software using C#, .NET, web technologies, SQL Server, and AWS. Participate in the full SDLC and Agile Scrum processes, including design, development, unit testing, defect resolution, backlog refinement, and collaboration with product and QA teams. Build solutions using Microsoft-stack technologies, optimize databases and stored procedures, and support cloud-based application delivery.

Build and scale data pipelines and partner integrations for an end-of-life open-source software dataset. Responsibilities include improving data quality, designing configurable risk-scoring models, integrating Kafka and data lakes, automating package generation and publishing, implementing monitoring and CI/CD, and documenting systems. The role also involves technical design, code reviews, mentoring, and collaboration with product and partner-facing teams.

Designs and optimizes fulfillment solutions, facility layouts, process flows, labor models, automation strategies, pricing models, and cost structures. Conducts scenario modeling and supply chain financial analysis while partnering with sales, finance, operations, implementation teams, and prospective customers. Supports scalable, cost-effective solutions for fulfillment and warehousing operations.

Lead observability and incident management efforts: define SLIs/SLOs, build monitoring/alerting, dashboards, logging, and tracing. Drive incident response, postmortems, and reliability improvements to reduce MTTD/MTTR. Integrate observability into CI/CD, maintain AWS and Kubernetes infrastructure, automate operations, and mentor engineers on SRE best practices.

Own RTL-to-GDS physical implementation for high-performance SoC and chiplet designs, including synthesis, floorplanning, placement and routing, clock tree synthesis, timing and power closure, EM/IR analysis, physical design validation, DRC, LVS, and final signoff. Collaborate with microarchitects on performance, power, and area trade-offs, conduct feasibility studies, and develop physical design methodologies and automation recipes.

Own and improve a multi-account AWS platform, including networking, security, certificates, file delivery, CI/CD, infrastructure as code, workflow automation, monitoring, incident response, and cost compliance. The role manages production changes, documents systems and runbooks, supports development deployments, troubleshoots scheduled data workflows, automates repetitive tasks, and coaches junior engineers. It requires strong AWS, Linux, Terraform, scripting, security, deployment, and operational communication skills.

Build and maintain backend services and foundational platform infrastructure for Streamline. Lead production migrations, architectural improvements, performance optimization, deployment, monitoring, and reliability efforts. The role requires end-to-end ownership of complex technical problems, strong backend and distributed-systems expertise, and close collaboration with a small engineering team to shape scalable platform architecture.

Monitor and support enterprise network environments, investigate incidents and outages, perform root cause analysis, resolve complex connectivity issues, and improve network performance and operational processes. The role supports LAN, WAN, VPN, cloud, wireless, and security technologies; collaborates with customers and engineering teams; manages ITIL-based incident, problem, and change activities; documents procedures; and participates in implementations, migrations, automation, and on-call support.

Build and scale backend-focused systems supporting truckload freight operations, including high-volume carrier quotes, automated transactions, distributed services, and APIs. Design scalable data models and architectures, contribute across the React and TypeScript stack, make key technical decisions, mentor engineers, and collaborate with product leadership. The role also involves developing AI-powered logistics tools and maintaining reliable, secure infrastructure on Kubernetes and GCP.