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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Application Support Engineer - **Company:** Dexterity, Inc. - **Location:** Redwood City, CA, United States - **Experience:** Experienced - **Salary:** $120,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Application Services, JIRA, Microsoft Azure, Bash Shell, Software Bug Management, Software as a Service, Cloud Computing, Computer Programming, Computer Engineering, Continuous Delivery, Continuous Integration, Software Debugging, Linux, DevOps, Middleware, Github, Issue Tracking Systems, Virtual Private Networks (VPN), Python (Programming Language), Kinematics, Log Analysis, NoSQL, Octopus Deploy, Performance Tuning, Queueing Systems, Reliability Engineering, Cloud Services, Runbook, Server Administration, Service Pack, Software Engineering, SQL Databases, System Testing, TCP/IP, Transmission Control Protocol (TCP), Virtual Local Area Networks, Scripting, Google Cloud, Warehouse Management Systems, Grafana, Kubernetes, Bug Reporting, Information Technology, Performance Monitor, Real Time Data, 3-tier Architectures, Kibana, Software Coding, Restful APIs, Zendesk, Docker - **Published:** July 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/application-support-engineer-redwood-city-ca--f3962670-bb9a-4cc1-bd73-d2279b22ef4c ## About the Role * System-level Troubleshooting across Linux, networking (TCP/IP, VLANs, VPNs), containers (Docker/K8s), and cloud services (AWS/GCP/Azure). * Programming & Scripting - comfortable reading and writing Python, Bash, and SQL for diagnostics or small tooling. * Data-driven Mindset, ability to instrument, query, and visualize telemetry to inform decisions. * Familiarity with support tools and observability platforms (e.g., Grafana, Kibana, Foxglove, ArgoCD). * Aptitude for Hands-On Work in Physical-AI Environments - must be willing and able to power-cycle, jog, and calibrate super-humanoid robots on the warehouse floor; this role is not "desk-only." * Strong analytical and debugging skills; experience parsing logs and telemetry data. * Clear Communication - translate technical findings into customer-friendly language and crisp bug reports. * Self-starter mindset with a willingness to take ownership in ambiguous environments. * Bias for Action - sense of urgency in production environments; willingness to "own the ticket" until closure. Nice-to-Have, Role-Specific Strengths * Experience supporting AI/ML inference platforms (model drift, retraining pipelines). * Familiarity with message queues & real-time data buses ( RESTAPI). * Exposure to industrial automation or warehouse management systems. * Knowledge of CI/CD workflows (GitHub Actions, ArgoCD) and feature-flag rollouts. * Basic understanding of robot kinematics and perception pipelines to converse with Product Support colleagues., * Bachelor's degree in an engineering discipline (e.g., Mechanical, Electrical, Industrial, Robotics) or Computer Science - with demonstrable coding skills and a solid grounding in computer-science fundamentals. Equivalent practical experience is welcome. * 2+ years in a SaaS, DevOps, Site Reliability, or Application Support role handling customer-facing production systems. * Comfortable working extended hours or on-call rotations for high-severity incidents., Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Atlassian JIRA, Automation, Bash Scripting, Buses, Business Operations, Calibration, Cloud Computing, Commissioning, Communication Skills, Computer Engineering, Computer Programming, Computer Science, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cross-Functional, Customer Relations, Data Analysis, Debugging Skills, DevOps, Diversity, Docker, Electricity, GCP (Good Clinical Practices), GitHub, Hardware Administration, Identify Issues, Industrial Robotics, Knowledge Base, Laboratory Testing, Linux Operating System, Machine Tool, Mentoring, Messaging Middleware, Metrics, Microsoft Windows Azure, NoSQL, On Call, Performance Metrics, Performance Tuning/Optimization, Platform for Privacy Preferences, Problem Solving Skills, Product Engineering, Product Support, Product/Service Launch, Production Systems, Python Programming/Scripting Language, Reliability Engineering, Reporting Dashboards, Robotics, Root Cause Analysis, SQL (Structured Query Language), Scripting (Scripting Languages), Software Administration, Software Debugging, Software Engineering, Software Patches, Software as a Service (SaaS), Standard Operating Procedures (SOP), System Test, Systems Administration/Management, TCP/IP (Transmission Control Protocol/Internet Protocol), Technical Support, Telemetry, Time Management, Trend Analysis, VLAN (Virtual Local Area Network), VPN (Virtual Private Network), Warehousing, Willing to Travel, ZenDesk ## Description As an Application Support Engineer you are the front line between Dexterity's NPI and deployed physical AI applications and our customers' business-critical operations. Your mission is to keep production sites running smoothly, resolve complex software issues before they disrupt performance, and feed insights back to Engineering for continuous improvement. You'll dive deep into logs, Data driven results , and configuration states; craft work-arounds or scripted patches; and collaborate closely with the Technical Assistance Center (Tier 1), Product Support (hardware), and Engineering (Tier 3). This role is ideal for engineers who love debugging live systems, explaining technical details to non-experts, and shipping pragmatic fixes fast-all while laying the groundwork for a future move into Hardware or Software Engineering. This role requires a combination of field readiness, software debugging, data analysis, and direct collaboration with internal engineering and customer-facing teams. Physical & Work Environment * Location: Redwood City, CA. Office desk-based tasks and lab-floor testing. * This position requires extended deployment to customer locations, with up to 80% of time spent stationed on-site. On-site assignments will involve warehouse conditions (temperature variations, industrial noise) and prolonged standing or walks. Assignments may span several weeks or months and are intended to minimize frequent travel by establishing a consistent presence at the customer site. Core Outcomes * New Product Introduction: Ensure successful field deployment of new products by driving pilot execution, resolving early issues, and meeting customer KPIs. * High Quality and Rapid Resolution: Own Tier 2 application and software incidents-meet or beat targets for First Response, Containment, and Permanent Fix. * Operational Excellence: Reduce repeat incidents by authoring runbooks, knowledge base articles, and automated diagnostics. * Customer Trust: Become the named technical point-of-contact for one or more strategic sites. * Engineering Feedback Loop: Deliver actionable bug reports and reproducible cases that accelerate root-cause analysis. * Field Team Enablement: Provide real-time support and tooling guidance to application services teams at pilot and production sites. * Tooling & Observability Proficiency:Demonstrate working proficiency and maintaining internal platforms such as Portal, Foxglove, Kibana, ArgoCD, and Grafana. Use observability tools to proactively identify anomalies and reduce customer-reported issues., * Diagnose & Resolve Incidents- Analyze logs, telemetry, SQL/NoSQL data, and container metrics to pinpoint failures; reproduce issues in staging; craft work-arounds or scripted hot-fixes; document in ticketing system (Jira/Zendesk). * Proactive Monitoring- Tune alerting rules, dashboards, and anomaly-detection models; perform trend analysis to prevent outages. * Field Residency- Embed on customer site during go-live, major upgrades, or chronic issue hunts. * Knowledge & Automation- Write SOPs, runbooks, and self-service articles; contribute to CLI tools and diagnostic scripts in Python/Bash; mentor TAC on new failure modes. * Continuous Improvement Projects- Partner with Product and Application Engineering on feature hardening, performance tuning, and reliability improvement. * Own and execute NPI software commissioning at customer sites, including tooling setup, system testing, and calibration. * Facilitate and approve Merge Requests for P2-P3 bug fixes, ensuring timely and compliant code integration. ## Related Videos - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)