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How much do remote bmc engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote bmc engineer in Austin, TX is $114,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,300.00 and $150,200.00 per year, depending on experience, location, and employer.

What is a remote BMC engineer?

Remote BMC Engineers are IT professionals who specialize in managing, configuring, and troubleshooting Baseboard Management Controllers (BMCs) on servers and other hardware, often working from remote locations. BMCs are embedded microcontrollers that enable administrators to monitor system health, perform remote diagnostics, and manage hardware independently of the host system's operating state. These engineers play a critical role in maintaining server reliability, supporting firmware updates, and assisting with out-of-band management tasks for organizations with large-scale or distributed IT infrastructures.

What skills and qualifications are needed to thrive as a remote BMC engineer?

To thrive as a Remote BMC Engineer, you need expertise in IT infrastructure management, problem-solving abilities, and in-depth knowledge of BMC software solutions, typically supported by a bachelor's degree in computer science or a related field. Familiarity with BMC Remedy, BMC Helix, scripting languages, and ITIL certifications are commonly required for managing and automating IT service processes. Strong communication, teamwork, and self-motivation are vital soft skills for collaborating effectively in remote environments. These skills and qualities ensure efficient system operations, rapid issue resolution, and seamless service delivery in distributed IT teams.

What are common challenges faced by remote BMC engineers, and how can they be addressed?

Remote BMC Engineers often encounter challenges such as troubleshooting hardware management issues without physical access to devices, coordinating with onsite teams for critical interventions, and ensuring secure remote connectivity. Overcoming these challenges requires strong communication skills, proficiency with remote management tools, and a solid understanding of network security protocols. Staying proactive in documentation and collaborating closely with cross-functional IT teams can greatly improve problem resolution efficiency and maintain system reliability.

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Remote Bmc Engineer jobs near you
Infographic showing various Remote Bmc Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $114,846 per year, or $55.2 per hour.

Sr. SRE Platform Software Engineer (Remote)

Bitdeer Technologies Group

Austin, TX • Remote

$58.25 - $77.50/hr

Full-time

Re-posted 26 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.