2

Remote Ace Hardware Store Jobs in San Ramon, CA (NOW HIRING)

Remote Ace Hardware Store information

See San Ramon, CA salary details

$12

$25

$39

How much do remote ace hardware store jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote ace hardware store in San Ramon, CA is $25.56, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $29.81 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote Ace Hardware store manager?

To thrive as a Remote Ace Hardware Store Manager, you generally need experience in retail management, inventory control, and customer service, often supported by a background in business or retail operations. Familiarity with point-of-sale (POS) systems, inventory management software, and basic e-commerce platforms is typically required. Strong organizational skills, effective communication, and leadership abilities set top performers apart in this role. These skills are vital for ensuring smooth store operations, excellent customer experiences, and successful remote team management.

What is the difference between Remote Ace Hardware Store vs Remote Hardware Associate?

AspectRemote Ace Hardware StoreRemote Hardware Associate
Required CredentialsHigh school diploma, basic product knowledgeHigh school diploma, customer service skills
Work EnvironmentOnline customer support, virtual assistanceOnline retail, virtual customer service
Industry UsageRetail hardware industry, sales supportRetail hardware industry, customer service
Common Search/ComparisonYesYes

Remote Ace Hardware Store roles typically involve managing online sales, inventory, and customer inquiries for a hardware retail business. Remote Hardware Associates focus on assisting customers via chat or phone, providing product recommendations and support. Both roles require good communication skills and familiarity with hardware products, but the Ace Hardware Store position emphasizes sales and inventory management, while the Hardware Associate centers on customer service.

What is a remote Ace Hardware store?

A Remote Ace Hardware Store refers to an Ace Hardware retail location that operates in a remote or rural area, often providing essential hardware, tools, and home improvement supplies to communities that may not have easy access to larger cities or stores. These stores are independently owned and operated but are part of the larger Ace Hardware cooperative, benefiting from the brand's support and supply chain. Remote stores often play a crucial role in their communities by offering personalized service and a wide range of products tailored to local needs. Store owners may also utilize online platforms to reach customers and manage inventory, making the shopping experience more convenient for remote customers.

What are some common challenges faced when working in a remote support role for an Ace Hardware store, and how can they be managed?

In a remote support role for an Ace Hardware store, one common challenge is maintaining clear communication with in-store staff and customers, especially when troubleshooting product issues or coordinating inventory. To manage this, it's important to utilize robust communication tools and regularly check in with team members for updates. Building strong relationships with the on-site team and staying organized with shared documentation can also help ensure smooth operations and customer satisfaction.

What cities near San Ramon, CA are hiring for Remote Ace Hardware Store jobs?

Cities near San Ramon, CA with the most Remote Ace Hardware Store job openings:

Sr. SRE Platform Software Engineer (Remote)

Bitdeer Technologies Group

San Jose, CA โ€ข Remote

$58.25 - $77.50/hr

Full-time

Re-posted 22 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

--------------------------------------------------------------------

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.