Top Support Engineer Jobs in Denver & Boulder, CO

Supports and maintains enterprise customer web integrations using Smartling’s web proxy solution. Owns technical tickets, troubleshoots browser and network issues, leads customer workshops, creates diagnostic scripts and tooling, manages production configuration changes, and collaborates with Engineering on product fixes. The role requires strong web technologies, debugging, communication, and customer-facing technical consulting skills.

Leads technical support operations for complex EDI, API, and file-transfer incidents. Acts as incident commander for P1/P2 issues, performs root-cause analysis, oversees queue health and SLA adherence, governs backlog reduction, mentors engineers, and drives alert tuning, process improvements, automation, and AI-enabled operational enhancements.

Establishes and owns Bloom’s production support and incident response function. Responsibilities include implementing monitoring, supporting major incidents, coordinating responders and vendors, overseeing root cause analysis, tracking preventive actions, automating repetitive support tasks with Python or Bash, maintaining documentation, and measuring incident response effectiveness. The role also supports client-facing Operations teams with onboarding, offboarding, sandbox resets, and other technical support needs while partnering with product and engineering teams to reduce support overhead.

Provides advanced technical support for GitLab deployments serving U.S. government customers in secure, air-gapped, and regulated environments. Investigates Linux, application, infrastructure, and code issues; analyzes logs and performance; develops troubleshooting tools and documentation; partners with Engineering and Product; participates in on-call rotations, customer support, hiring, and process improvement.

Provide first-line technical and non-technical support through email, phone, chat, and video. Manage and resolve L1 tickets, troubleshoot system behavior and configurations, document solutions, explain technical issues clearly, and escalate complex problems to L2 or engineering teams. The role requires shell scripting, Python, SQL, REST APIs, GraphQL, and customer support experience, with possible weekend and allocated-shift availability.

Provides technical customer support for a cloud and AI security platform. Responsibilities include troubleshooting and debugging customer issues, system administration, networking, incident escalation, documentation, and developing scalable automation through coding and scripting. The role also participates in an after-hours, holiday, and weekend on-call rotation.

Provides support engineering assistance within the Payroll team. The posting identifies the role as both a Senior DAS Support Engineer and Senior Payroll Analyst, but provides no detailed responsibilities or qualifications.

Supports payroll team operations as a Senior Payroll Analyst, though the posted title identifies the role as a Senior DAS Support Engineer.

Provides technical customer support for a B2B SaaS platform through email, Slack, and support tickets. Troubleshoots integrations, APIs, data synchronization, configurations, and customer environments by analyzing logs and testing solutions. Owns issues through resolution, communicates clearly with customers, escalates reproducible bugs to Engineering, and develops documentation and knowledge-base content. Identifies recurring support patterns and proactively recommends improvements.

Provides technical support for enterprise AI infrastructure customers, debugging code, APIs, logs, and upstream provider issues. Creates reproductions, assesses business impact, coordinates incident resolution, supports account reviews, communicates during outages, documents solutions, and feeds customer insights to Product and Engineering. The role requires 3–5+ years in external-facing B2B SaaS or API support, programming knowledge, observability tools, and SQL proficiency.

Provide technical customer support by answering product questions, diagnosing complex issues, developing solutions or workarounds, and collaborating with Support and Engineering teams. Document solutions, contribute to internal diagnostic automation tools, and participate in a weekend daytime on-call rotation. The role requires strong DevOps, Linux, communication, and independent problem-solving skills.

Provide timely developer support for Supabase users across billing, implementation, optimization, and technical issues. Triage cases, guide users to documentation and code examples, monitor GitHub feedback channels, escalate issues, and identify tooling improvements. Reproduce bugs and create test cases when applicable. The role requires strong SQL and PostgreSQL knowledge, Linux and command-line proficiency, GitHub experience, excellent English communication, and at least three years of developer-support experience. This is a fully remote APAC weekend position with four 10-hour shifts.

Provide Tier 1/2 technical support for e-commerce and internal users of WMS/OMS, manage tickets and SLAs, run client onboarding and training, diagnose web/API issues using observability logs, escalate and document bugs, and support AI agent QA and knowledge base curation.

Operate, monitor, troubleshoot, and optimize global network infrastructure across datacenters and telco partners. Diagnose complex network incidents, drive root-cause analysis, implement long-term fixes, document configurations and procedures, coordinate cross-team remediation, and support network architecture, routing, and peering for LAN/WAN/wireless environments.

Lead customer-facing HPC deployments and serve as the escalation point for complex hardware, operating system, application, and compiler issues. Deploy and debug GPU-accelerated Kubernetes clusters across on-premises and cloud environments, using Python, C#/.NET, CUDA, and ROCm. Diagnose issues involving NVIDIA and AMD GPUs, high-speed interconnects, PCIe topology, and driver stacks. Create technical documentation, reproduce customer failures, and collaborate with engineering and R&D on bug reports and product improvements.

Provide technical support for Label Studio, troubleshooting installation, configuration, software, cloud, API, browser, and containerized-system issues. Diagnose root causes using debugging tools and logs, collaborate with Product, Engineering, and Customer Success, create documentation, improve support workflows, automate processes, and deliver structured customer updates.

Supports manufacturing operations through electro-mechanical troubleshooting, production failure analysis, root-cause investigations, corrective actions, quality documentation, test equipment maintenance, process audits, and continuous improvement. The role collaborates with manufacturing, quality, engineering, suppliers, and other stakeholders to improve product quality, safety, efficiency, and compliance with ISO, UL, OSHA, and related standards. Occasional domestic and international travel may support product transfers, training, supplier audits, and process improvements.

Own end-to-end client support, troubleshoot production issues, monitor cloud environments, respond to incidents, automate operational tasks, and lead postmortems. Develop and execute manual and automated QA tests, maintain regression suites, integrate testing into CI/CD, and validate AI-powered features. Build documentation, collaborate with engineering and product teams, and improve reliability for regulated-industry clients.

Supports and integrates Banner SaaS and related enterprise applications. Designs, develops, tests, documents, and maintains APIs, workflows, data extracts, automated processes, and SQL solutions. Manages production pipelines, monitoring, releases, troubleshooting, vendor incidents, and Level 2 support. Applies security, accessibility, privacy, and data governance requirements while collaborating with business users, developers, data stewards, and IT teams.

Own complex technical escalations, support API and developer-environment requests, and partner with Support, Success, Onboarding, and Engineering. Identify supportability issues during development, become a domain expert, and build internal tools, scripts, and automations that improve customer support efficiency. The role also involves documentation, incident pattern analysis, preventative improvements, mentoring, and translating customer-impact concerns into actionable engineering input.

As an Enterprise Support Engineer, you will lead technical support for enterprise customers, resolving complex cloud issues and developing performance dashboards while advocating for customer needs.

Serve as the ongoing technical contact for database customers, leading onboarding, deployment, adoption, optimization, troubleshooting, and expansion. Support presales proof-of-concepts, collaborate with sales and product teams, document evaluations, relay customer feedback, and contribute to webinars, conferences, user groups, and technical content. The role requires strong database, distributed systems, cloud, SQL, communication, and customer success expertise.

Develop and maintain technical understanding of mission-critical systems, troubleshoot operational issues, create CONOPs and standard procedures, analyze operational data, automate processes with scripts, and restore systems to operational readiness. The role supports 24/7 operations, telemetry analysis, anomaly recovery, system availability, and operational product development for complex space systems.

Own complex technical support requests from platform partners, triage production incidents, debug APIs, webhooks, and integrations, and resolve issues within SLAs. The role requires root-cause analysis, SQL and scripting, log and trace investigation, backend code reading, technical writing, and cross-functional collaboration with Engineering, Partnerships, and Customer Support. The engineer will also improve runbooks, tooling, documentation, and self-service resources as partner volume scales.

Leads resolution of customer-reported product issues and supports manufacturing through troubleshooting, root-cause analysis, corrective actions, engineering changes, documentation, and test development. Works with electrical, electromechanical, software, and communication-interface systems; communicates technical findings to customers and cross-functional teams; maintains BOMs and engineering records; and supports product reliability, manufacturability, and quality improvements.