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Remote Bridge Inspector Jobs in Santa Clara, CA (NOW HIRING)

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Remote Bridge Inspector information

See Santa Clara, CA salary details

$35.2K

$81.8K

$148K

How much do remote bridge inspector jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote bridge inspector in Santa Clara, CA is $81,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $105,700.00 per year, depending on experience, location, and employer.

What is a remote bridge inspector?

Remote bridge inspectors are professionals who assess the condition and safety of bridges using advanced technologies such as drones, cameras, sensors, and software. Unlike traditional inspectors who perform on-site evaluations, remote bridge inspectors can conduct assessments from a distance, enhancing safety and efficiency. They collect and analyze data to identify structural issues, recommend maintenance, and ensure compliance with regulations. This approach is increasingly popular for hard-to-reach or hazardous locations and helps reduce inspection time and costs.

What are the key skills and qualifications needed to thrive as a remote bridge inspector?

To thrive as a Remote Bridge Inspector, you need a solid understanding of civil engineering principles, structural analysis, and inspection standards, often supported by a relevant engineering degree and certification as a Professional Engineer (PE) or National Bridge Inspector (NBI). Familiarity with remote sensing technologies, drones, inspection management software, and digital reporting systems is typically required. Strong attention to detail, analytical thinking, and clear communication skills help inspectors accurately assess bridge conditions and convey findings. These skills ensure thorough, efficient, and accurate bridge safety evaluations, which are vital for public safety and infrastructure reliability.

What is the difference between Remote Bridge Inspector vs Bridge Inspector?

AspectRemote Bridge InspectorBridge Inspector
CertificationsStructural engineering or bridge inspection certifications, often with remote work credentialsState or federal bridge inspection certifications, such as NBIS certification
Work EnvironmentPrimarily remote, utilizing digital tools, reports, and virtual assessmentsOn-site inspections of bridges, often at various locations
Employer & Industry UsageTransportation agencies, engineering firms, with remote inspection roles increasingPublic agencies, construction companies, and engineering firms conducting physical inspections

Remote Bridge Inspectors focus on evaluating bridges remotely using digital tools and reports, while Bridge Inspectors perform on-site physical inspections. Both roles require similar certifications but differ mainly in work environment and inspection methods.

What unique challenges might I face as a remote bridge inspector, and how can I prepare for them?

As a Remote Bridge Inspector, you may encounter challenges such as ensuring accurate assessments using digital tools, managing limited physical access to sites, and coordinating with onsite teams for data collection. Familiarity with remote sensing technologies, drones, and specialized inspection software is essential for effective performance. Building strong communication skills and adaptability will help you collaborate with field staff and engineering teams, ensuring thorough inspections and timely reporting. Proactively seeking training in the latest remote inspection technologies can further enhance your capabilities and career growth.
What are the most commonly searched types of Bridge Inspector jobs in Santa Clara, CA? The most popular types of Bridge Inspector jobs in Santa Clara, CA are:
What are popular job titles related to Remote Bridge Inspector jobs in Santa Clara, CA? For Remote Bridge Inspector jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Remote Bridge Inspector jobs in Santa Clara, CA look for? The top searched job categories for Remote Bridge Inspector jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Remote Bridge Inspector jobs? Cities near Santa Clara, CA with the most Remote Bridge Inspector job openings:
Remote Bridge Inspector jobs near you
Infographic showing various Remote Bridge Inspector job openings in Santa Clara, CA as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $81,756 per year, or $39.3 per hour.

Sr. SRE Platform Software Engineer (Remote)

Bitdeer Technologies Group

San Jose, CA • Remote

$58.25 - $77.50/hr

Full-time

Re-posted 17 days ago

Job description

About Bitdeer Technologies Group

Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.

Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.

Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.
To learn more, visit https://ir.bitdeer.com/

Position Overview

Build and operate one or more bounded contexts of the NeoCloud SRE platform the multi-region substrate that observes, protects, and operates a GPU rental fleet across self-built and OEM-rented data centers. You take an architect-approved design and turn it into production code that ships through GitOps + the CICD release pipeline, ride the Plugin Framework conventions, meet declared SLOs, and stay drift-free.

This is the build + run role. You don't only ship code; you ship a service that other squads, cloud-service teams, and tenants depend on. You take the on-call pager for what you build.

Key Responsibilities
You will own 1-2 of these:

  • Collection & Storage: collection-agent, customer-sdk-gateway, metrics-store, logs-store, traces-store, profiles-store, analytics-lake, enrichment-service, collection-monitor.
  • Alert, Correlation & SLO: alert-engine-framework, alert-correlation, slo-framework, default M-series alert rules.
  • Topology, Cluster-Health & Cluster Platform Services: topology-service, cluster-health-rollup, OSS-SRE-tool collection plugins for K8s, Slurm, Ray, Volcano, Kueue, and KubeRay.
  • Fault-Prediction: prediction-engine-framework and built-in predictors (GPU, Link, Disk, XPA, Straggler, SDC, Stranded GPU).
  • Remediation, Workflow, Inspection & Jobs: remediation-actuator, orchestration-substrate (workflow engine), inspection-orchestrator, job-scheduler, NCCL-baseline inspection probe.
  • Hardware Lifecycle & DC Ops: hardware-lifecycle, dc-operations, boot-provisioning, rolling-upgrade, bare-metal-bmc-service, auto-discovery, ZTP D0D5 pipeline, IPMI bare-metal management.
  • Identity, Secrets, Tenant-Config & CMDB: iam-service, secrets-service, tenant-sre-config, cmdb-cache, schema registry.
  • Customer-Bridge, Ticketing & SRE Platform Portal: customer-bridge, customer-ticketing, sre-operation-system, Customer Console BFF, SRE Console BFF.
  • Backup, DR & Meta-Monitor: backup-orchestrator, meta-monitor, external-watcher integration (Datadog or equivalent).
  • CI/CD, GitOps, Plugin Framework & SRE Image Registry: cicd-pipeline, gitops-sync, plugin-registry, sre-image-registry.
  • Self-Improving Agent: agent-control-plane, agent-discovery, agent-codegen, agent-sandbox, per-Region LLM gateway.
  • Global SRE Management: maintenance-window-orchestrator, change-management, capacity-planner, cost-optimizer, gpu-efficiency-dashboard, network-stability-dashboard, patching-orchestrator, artifact-management, compat-matrix-service, security-platform.

Qualifications

  • Software Engineering Experience: 7+ years of production software engineering experience, including 2 or more years operating what you built (real on-call experience, not just shipping code).
  • Programming Languages: Production-depth mastery of at least one systems-grade languageGo (preferred), Rust, or Java. Proficiency in Python for tooling and SDK work.
  • Distributed Systems Fundamentals: Strong grasp of at-least-once vs. exactly-once trade-offs, idempotency, back-pressure, leader election, consistent hashing, gossip, and fan-out. Ability to evaluate CRDT vs. Raft vs. Paxos and select the right tool for the job.
  • Multi-Region Observability Stack: Experience at production scale with Prometheus, VictoriaMetrics, Mimir, Thanos, Loki, Elasticsearch, Tempo, Jaeger, or OpenTelemetry. Must have built or substantively contributed to the ingest, query, or storage paths of these systems.
  • GitOps & CI/CD: Hands-on experience with Argo, Flux, Helm, Kustomize, Cosign signing, signed-bundle promotion, and blast-radius-aware rollouts.
  • Kubernetes Operator Pattern: Proven experience writing a controller or CRD handling real production traffic, with a deep understanding of watch-cache mechanics, leader election, and reconcile loops.
  • mTLS & Secrets Management: Experience executing end-to-end mTLS bootstrap with certificate rotation. Hands-on experience with HashiCorp Vault or cloud KMS (AWS KMS / GCP KMS).
  • SQL & Time-Series Data: Ability to read a Prometheus query plan, build a recording-rule strategy, and write SQL that joins per-tenant telemetry against analytics-lake tables.
  • Testing Discipline: Rigorous approach to unit, integration, contract, chaos, and soak testing. Experience writing and maintaining your own comprehensive tests.
  • Technical Writing Fluency: Ability to author clear design docs that align with existing platform architecture, create runbooks optimized for 3 AM on-call responses, and write intent-driven PR descriptions.
Preferred Qualifications (GPU / AI-Infra Context)
Experience in at least one of the following areas is a strong plus:
  • NVIDIA Internals: Deep understanding of DCGM and NVIDIA driver internals, including XID semantics and MIG / vGPU partitioning.
  • Networking & Fabrics: Experience with InfiniBand or RoCE fabrics, including subnet managers, partitioning, optical health, and NCCL collective tracing.
  • HPC Storage: Experience managing Lustre, NetApp, Pure, DDN, VAST, or NVMe-oF under multi-tenant loads.
  • Hardware Management: Hands-on experience with BMC, IPMI, and Redfish at OEM scale (Supermicro, Dell, HPE, Lenovo).
  • Cluster Platform Internals: Familiarity with Kubernetes GPU Operator, Slurm controller, or Ray GCS.
  • BS/MS in Computer Science or similar
  • Hyperscale or NeoCloud experience

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Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.