Top Support Engineer Jobs in Denver & Boulder, CO

Serve as the technical authority for ELD compliance product escalations, analyze device telemetry and fleet patterns, coordinate fixes with R&D via Jira, support audits/inspections, lead post-mortems and runbook/validation creation, build internal tools, and coach support engineers to improve resolution speed and product reliability.

Support mission operations and direct-access customers by executing satellite tasking, preserving spacecraft and ground systems, delivering imagery/data, monitoring access windows, performing Tier 1/2 troubleshooting and incident management, maintaining monitoring tools, and coordinating cross-departmental operational implementation and communications in a 24/7 shift environment.

Provide deep technical post-sale support for NetBox customers: onboard, diagnose and resolve issues across installations, integrations, and upgrades; participate in architecture reviews; meet SLAs; surface product feedback; create runbooks and reduce repeat escalations.

The Principal Cloud Support Engineer at Wasabi leads technical support, mentors engineers, resolves complex issues, and advises enterprise clients, focusing on cloud storage solutions.

Provide advanced technical support for public-sector customers running mission-critical, highly regulated hybrid and multi-cloud workloads on Datadog. Troubleshoot complex issues across integrations, APIs, networking, cloud, and OS layers; handle escalations and incidents; mentor junior engineers; collaborate with Product, Engineering, Sales, and Customer Success to validate bugs and drive adoption. Work in-office on a hybrid schedule and participate in on-call rotations.

Provide remote technical support for Precisely data integration and coding-focused products (Code-1, VeriMove, Finalist, DIS SaaS). Troubleshoot job logic, configuration, file handling, data transformation, APIs and integrations; analyze logs and artifacts; collaborate with Engineering on escalations; create knowledge-base documentation; participate in on-call rotations and continuously adopt AI tools to improve support efficiency.

The Senior Software Engineer for Support AI will develop voice and chat systems for customer support, driving projects from concept to production, while collaborating across teams and improving AI capabilities through integration and data insights.

The Junior Mobile Core Support Engineer will troubleshoot and resolve telecom network issues, support customer queries, and maintain network performance while collaborating with engineering teams.

The Technical Account Manager serves as the primary technical escalation for grocery customers, addressing complex issues, monitoring account health, and ensuring operational stability on the Vori platform.

The Partnership Support Engineer will handle integration issues, improve processes, build tools for diagnostics, and ensure reliability for partner integrations, APIs, and collaborations.

The Associate Linux Support Engineer will provide technical support, troubleshoot Linux issues, and enhance customer satisfaction while learning and contributing to Canonical's services.

Provide advanced, customer-facing technical support for Cynet's security platform: troubleshoot escalated issues, deploy and optimize solutions, analyze logs, collaborate with R&D/product teams, mentor Tier 1 engineers, maintain documentation, and influence product improvements.

Provide multi-channel technical support for Datadog Premier customers, reproduce and troubleshoot issues across integrations, educate clients on the platform, build documentation, run health-checks and demos, and participate in cadence calls and projects while working hybrid from the Denver office.

The Product Support Engineer will handle customer environments, resolve Hadoop and Spark issues, and ensure optimal performance during migrations and upgrades.

Provide technical customer support for FOSSA's SaaS platform: manage new ticket queue and backlog, communicate updates to customers, collaborate with product and engineering, improve AI ticket-deflection and documentation, write/maintain scripts, and occasionally represent the company at events.

Provide technical support for Morpheus deployments, troubleshoot issues, drive resolution of support cases, and mentor engineers.

As a Solutions Support Engineer, you will provide technical support, troubleshoot issues, design scalable solutions, and participate in an on-call rotation for customer technical needs.

The Product Support Engineer will bridge the gap between Engineering and Customer Experience, resolving production issues, using AI for improvements, and consulting with Operations to automate processes.

The Application Support Engineer resolves technical issues, advocates for customers, collaborates with teams, improves documentation, and enhances processes for a superior customer experience.

The role involves supporting customers with benefits administration issues, troubleshooting complex problems, and collaborating with multiple teams to improve product functionality and customer experience. Candidates should have a strong background in US benefits administration and exceptional problem-solving skills.

The L1.5 Support Engineer provides expert support for issues requiring additional expertise beyond Level 1, collaborating with the Level 1 team and ensuring timely resolutions.

As a Dev Support Engineer, you will manage the support queue, develop Python scripts, triage customer issues, and ensure SLA adherence.

Provide technical support for customers using Proofpoint AI Security solutions, resolving issues via tickets, phone, email, and chat while diagnosing software and hardware problems.

Support and improve clinical data integrations (database extracts, HL7v2, FHIR), monitor integration health, troubleshoot incidents, own client communications and SLAs, develop SOPs/playbooks, coordinate cross-functional teams, and participate in on-call rotations to ensure compliant, scalable integrations.

Provide end-to-end technical support for enterprise SaaS customers: troubleshoot APIs, integrations, SAML/SSO, AI/LLM features; replicate defects, produce actionable engineering reports, create knowledge-base articles, and collaborate with Customer Success to resolve complex data and product issues.