Top Support Engineer Jobs in San Francisco, CA

Provide technical troubleshooting for customer issues, focusing on API integrations, data flow, and automation via scripting. Collaborate with engineering to escalate and resolve bugs, identify patterns to drive product improvements, maintain support documentation, and enable the Support team through knowledge sharing and process improvements.

Own end-to-end IT support and administration across identity, collaboration, AI, endpoint, and email platforms. Build AI-assisted triage, self-service, and agentic workflows; manage Claude Enterprise and MCP connectors; administer Jamf and Intune fleets; support onboarding and offboarding automation; oversee access reviews, MFA, phishing reports, and basic incident triage. The role requires strong judgment about automation versus human support, cross-functional ownership, and clear, personal communication.

Provide L2/L3 production support for SnapLogic integrations and data pipelines. Monitor jobs, interfaces, logs, alerts, and error queues; troubleshoot integration failures, APIs, data transformations, and performance issues. Conduct root cause analysis, implement corrective actions, support deployments and validations, manage incidents, and coordinate with business users, application teams, and vendors. Maintain documentation and runbooks while participating in on-call support.

Engineer and support Collective’s macOS fleet, identity stack, Google Workspace, office network, SaaS integrations, and IT automation. Responsibilities include MDM administration, endpoint security, employee lifecycle provisioning, network troubleshooting, service desk ownership, advanced macOS support, asset management, IT project execution, documentation, and white-glove onsite assistance.

Provides L3/L4 operational support and engineering for Citrix and Azure Virtual Desktop environments. Responsibilities include troubleshooting, platform administration, endpoint and identity management, patching, monitoring, disaster recovery, automation with Infrastructure as Code, performance and cost optimization, client advisory, documentation, incident response, and mentoring. The role supports multiple enterprise customer environments while improving reliability, security, governance, and service delivery.

Investigate and resolve complex production issues across backend services, data workflows, and technical support systems. Analyze logs, query SQL and MongoDB databases, troubleshoot JSON/YAML configurations, support client integrations, and assist with bug fixes and data validation. Partner with Engineering, Client Operations, and User Support teams to identify root causes, escalate issues, improve workflows, and reduce recurring support problems.

Provides technical support for global customers using Akamai’s cloud and distributed network platform. Diagnoses and resolves cloud, networking, and performance issues; investigates technical problems, proposes preventative solutions, improves support processes and metrics, and collaborates with internal teams to ensure customer success.

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 first-line customer support for EV charging infrastructure issues. Investigate charger logs and histories, troubleshoot and resolve common problems, onboard customers and chargers, establish OCPP and cellular connections, reproduce and escalate bugs, coordinate with charger and vehicle OEMs, and develop support runbooks. The role requires clear communication, autonomy, technical problem-solving, and experience with ticketing platforms and AI tools.

Provides senior-level technical support and escalation management for complex Altium product issues in enterprise engineering environments. Responsibilities include root cause analysis, troubleshooting PCB design workflows, PLM and enterprise integrations, authentication systems, and cloud services; coordinating with R&D and product teams; documenting solutions; creating technical content; testing pre-release features; and mentoring support engineers. Requires deep expertise in PCB design or related domains, enterprise technologies, and Altium solutions.

Support U.S. government and public-sector customers by troubleshooting complex SaaS and OpenAI platform issues, handling escalations, and translating security and compliance requirements into actionable guidance. Partner with Engineering, Product, Operations, and Go-to-Market teams to resolve recurring problems, improve products, and develop scalable support processes. Use Python, AI tools, automation, and scripting to reduce manual work and improve operational efficiency. Provide occasional holiday and weekend on-call coverage.

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.

Provides Tier 3 technical escalation for complex API, integration, authentication, schema, and data-flow issues in enterprise federal and DoD-aligned environments. Responsibilities include incident triage, log analysis, root-cause investigation, API specification validation, testing, documentation, change control participation, monitoring improvements, and collaboration with development, cloud, cybersecurity, and integration teams.

Serves as an escalation resource for complex platform support issues, conducting root-cause analysis through database, log, and system diagnostics. Manages technical bug backlogs, monitoring and alerting platforms, access administration, runbooks, and support tooling. Partners with Engineering and customer experience teams on critical cases, escalation criteria, process improvements, automation, and platform reliability. Provides technical mentorship and participates in on-call support for high-priority incidents.

Owns support and maintenance for customer production workflows after active development. Responsibilities include triaging and resolving technical escalations, making small code fixes and improvements, developing deep knowledge of complex customer environments, identifying recurring issues with engineering and product teams, and communicating issue status and resolutions to customers.

The role involves providing advanced technical support to enterprise customers, managing complex issues, collaborating cross-functionally, and improving support processes.

Provides technical customer support by triaging and resolving issues involving RelationalAI, Snowflake, Azure, databases, and graph technologies. Troubleshoots logs, stack traces, performance problems, environments, and client applications; communicates with technical and executive stakeholders; collaborates with Sales, Field Engineering, Product Management, and Product Engineering; and improves support processes, tools, products, and customer experience.

Provides Tier 1 and Tier 2 technical support for GPUaaS customers through ticketing, email, and chat. Responsibilities include triaging issues against SLAs, resolving common problems using Linux and networking knowledge, escalating complex incidents, maintaining ticket records, creating documentation, supporting account lifecycle changes, participating in rotating on-call coverage, and improving runbooks and customer satisfaction.

Provide Tier 3 support for Microsoft Dynamics 365 and Power Platform: troubleshoot complex incidents, perform RCA, manage Microsoft escalations, maintain Dataverse and environment lifecycle, support integrations, document resolutions, and mentor lower tiers while following ITIL-aligned processes.

Provide Tier 2 application and software support for deployed physical-AI systems: diagnose issues using logs, telemetry, and DBs; implement hot-fixes and runbooks; embed at customer sites for NPI and long-term support; collaborate with TAC, Product Support, and Engineering to improve reliability and tooling.

Lead and manage a technical support engineering team for enterprise customers, ensuring efficient operations and strong collaboration with engineering teams to enhance product development and customer satisfaction.

Provide technical support and troubleshooting for complex customer issues, use scripting and OpenAI tools to automate processes, partner with engineering and product teams to resolve bugs, improve support systems, and scale operations while participating in on-call and weekend coverage.

Provide production support and monitoring for a regulated trading exchange, execute daily operational processes, triage and resolve incidents, tune performance, support releases, maintain runbooks and documentation, automate operational workflows, and collaborate with development, QA, infrastructure, and partners to ensure stable, SLA-driven exchange operations.

Provides technical support to clients by managing ticket queues, troubleshooting complex system issues, querying databases and logs, and delivering sustainable solutions. Collaborates with global customer support teams and internal stakeholders, communicates with customers through video conferences, improves support processes, and follows projects through completion. The role requires adaptability, resourcefulness, strong communication, and occasional on-call or weekend availability.

Owns frontline technical support for robotic medical systems, including issue intake, remote and on-site troubleshooting, customer communication, escalation, and field service. Partners with Engineering on serviceability, reliability, root-cause investigations, CAPA, and product changes. Builds support workflows, knowledge bases, training, KPIs, and documentation. Maintains demo and service fleets, manages repairs, RMAs, spare parts, configuration control, and logistics. Requires hands-on electromechanical troubleshooting, Linux diagnostics, quality-system discipline, and up to 25% travel.