Top Support Engineer Jobs in San Francisco, CA

Provides Microsoft core infrastructure support for managed-services customers in a reactive break/fix environment. Troubleshoots Windows Server, Active Directory, domain controllers, Group Policy, DNS, DHCP, SCCM, endpoint management, Azure, and Microsoft 365 issues. Manages case queues, resolves incidents, documents solutions, communicates with customers, meets SLAs, participates in on-call support, contributes to infrastructure projects, mentors peers, and identifies customer needs.

Provide customer-facing Microsoft infrastructure support in a case-based break/fix environment. Troubleshoot and resolve Azure, Microsoft 365, Windows Server, and related technology issues; manage cases, document resolutions, meet SLAs, collaborate with peers and Microsoft support, and participate in on-call coverage. The role also involves customer communication, technical documentation, mentoring, training, and identifying potential customer needs.

Support enterprise customers and partners integrating applications with Wasabi Cloud. Diagnose, research, reproduce, and report defects; test storage services with third-party applications; validate interoperability using APIs and SDKs; investigate S3 protocol behavior; and collaborate with sales, development, QA, product, and support teams.

Owns Bloom Credit’s production support and incident response function, including monitoring, incident coordination, root cause analysis, documentation, metrics, and preventive improvements. Supports client-facing Operations with onboarding, offboarding, and troubleshooting tasks while automating repetitive workflows using scripts. Partners with engineering, operations, and product teams to improve system reliability, reduce support overhead, and strengthen incident response processes.

Support and maintain large-scale bare-metal GPU infrastructure across data centers. Diagnose customer issues and incidents, analyze logs across firmware, drivers, and hardware, coordinate data center interventions, troubleshoot networking, and participate in on-call operations. The role also develops automation, documentation, troubleshooting processes, and reliability improvements while collaborating with customers and engineering teams supporting HPC and AI workloads.

Own Tier 3 escalations and incident response for complex customer issues involving a cybersecurity platform. Investigate distributed systems, reproduce defects, coordinate resolutions with engineering and product teams, and build Datadog observability dashboards, monitors, and alerts. Create runbooks, troubleshooting guides, RCAs, and postmortems; mentor support staff; identify recurring failure patterns; communicate with customers; and participate in an application-layer on-call rotation.

Provide end-to-end IT support, including employee onboarding and offboarding, account and access administration, device provisioning, ticket queue management, hardware and software troubleshooting, office technology support, asset management, documentation, and process automation. Maintain cloud services, MDM, identity systems, security controls, and service-level agreements while supporting employees in a fully in-office environment.

Provide first-line technical support via Slack, email, and in-app chat; troubleshoot logs, APIs, and data mappings; reproduce and document bugs for engineering; write internal and customer help articles; track recurring issues and collaborate with product and engineering to resolve them. In-person role with early hours to support East Coast customers.

Provides high-touch, end-to-end IT support for Airbnb executives and Executive Business Partners. Troubleshoots endpoints, mobile devices, identity, connectivity, collaboration tools, AV, and workplace technology; coordinates complex issues across technical teams; prepares technology for leadership meetings, travel, and events; leads improvements, standards, documentation, mentoring, and executive support strategy. Requires after-hours coverage and occasional onsite, travel, event, or residential support.

Support ML engineers running large-scale training and inference workloads across Kubernetes, cloud, and GPU infrastructure. Diagnose distributed PyTorch, CUDA, networking, storage, scheduling, performance, and reliability issues. Analyze observability data, guide customers through complex infrastructure problems, support production incidents, and improve platform reliability through automation, tooling, documentation, runbooks, and operational processes. The role partners closely with infrastructure, networking, and platform engineering teams in a hybrid office environment.

Provide onsite frontline IT support across endpoints, identity, SaaS, conferencing, hardware, software, and network connectivity. Own tickets and walk-up requests through resolution, maintain ITSM quality and SLA performance, create escalations and documentation, and improve support through runbooks, automation, service analytics, and workflow configuration. Partner with global IT engineers on employee lifecycle operations, platform improvements, testing, and scalable solutions.

Resolve technical customer support tickets across Slack, email, and Discord while meeting enterprise SLAs. Debug voice AI agents, APIs, middleware, tool-calling, latency, and integrations; determine appropriate escalations; collaborate with engineers, product, FDEs, and support teams; automate recurring solutions; create debugging documentation; and surface customer requirements for the product roadmap.

Triage incoming support cases, lead short discovery calls, gather logs/screenshots/configuration, write clear handoffs for senior engineers, resolve straightforward product questions and repeatable implementation tasks, maintain ticket hygiene and SLAs, and improve runbooks and intake processes.

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.

Provides Level 2/3 internal IT support across Windows, Linux, and macOS environments. Responsibilities include endpoint configuration, Entra Domain Join, Intune management, profile and device migrations, remote troubleshooting, RMM administration, patching, security compliance, Microsoft 365 and Azure support, documentation, and migration tooling. The role supports integrations following company acquisitions and requires strong remote service delivery, scripting, and endpoint security skills.

Provide advanced technical support for GitLab deployments in secure U.S. government environments. Investigate logs, system performance, application behavior, and code paths using Linux and GitLab internals; reproduce defects, recommend mitigations, and collaborate with Product, Engineering, and Infrastructure teams. Create documentation, improve support tools and workflows, participate in on-call rotations, and support hiring activities. The role is fully remote but requires U.S. citizenship and work eligibility for federal 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.

Provides advanced technical support to VIP integration partners, troubleshooting APIs and integrations, managing service requests and cross-company projects, and triaging high-priority incidents within SLAs. Acts as a liaison among partners, support, engineering, product, and commercial teams. Supports API developers, drives bug fixes through engineering and agile processes, participates in on-call coverage, improves support processes, and helps ensure successful partner integrations, satisfaction, and retention.

Supports, troubleshoots, qualifies, maintains, and validates automated liquid-handling systems used in R&D and clinical diagnostics laboratories. Collaborates with scientists, engineers, end users, and cross-functional teams to prioritize support and improve laboratory workflows. Develops equipment documentation, user requirements, testing procedures, SOPs, and maintenance procedures; oversees IQ/OQ/PQ testing; provides user training; and contributes to automation system design, integration, and ongoing support.

Provides high-priority technical support to premium and enterprise customers, diagnosing and resolving complex Replit platform issues within strict SLAs. The role manages incident communications, escalates issues to Product and Engineering, identifies recurring problems, and develops documentation, automation, and tooling to improve efficiency. It also supports cross-functional collaboration and mentors other support engineers. The position works a Saturday-Wednesday schedule with in-office requirements in Foster City on Mondays and Wednesdays.

Provide customer-facing support for hybrid and self-hosted deployments across AWS, Azure, and GCP. Debug Kubernetes, Terraform, networking, IAM, TLS, backend performance, databases, and object stores. Lead incident response, submit infrastructure and backend fixes, build diagnostic tooling, maintain runbooks, and participate in on-call support. Collaborate with Cloud Infrastructure, Engineering, Developer Support, and Product teams to resolve recurring customer issues.

Provides customer-facing technical support for hybrid and self-hosted deployments across AWS, Azure, and GCP. Responsibilities include debugging Kubernetes, Terraform, networking, IAM, TLS, performance, database, and reliability issues; leading incident response; contributing backend and infrastructure fixes; building diagnostics and health checks; maintaining documentation; and participating in on-call support.

Provide advanced technical support for GitLab’s largest customers, troubleshooting complex Linux, GitLab, CI/CD, infrastructure, and integration issues. Build customer relationships, resolve critical incidents, collaborate with Product, Development, Infrastructure, Customer Success, and Sales teams, create reusable support documentation, share knowledge, and participate in hiring. The role requires strong Linux systems expertise, scripting ability, debugging skills, and familiarity with Kubernetes and serverless technologies.

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

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.