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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. SRE Platform Software Engineer - **Company:** Bitdeer Technologies Group - **Location:** San Jose, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Unit Testing, Intelligent Platform Management Interface, Configuration Management Databases, Continuous Integration, Data Centers, Distributed Systems, Elasticsearch, IBM Hardware Management Console, Identity and Access Management, InfiniBand, Subnetting, Python (Programming Language), Key Management, NetApp Applications, Prometheus, Software Engineering, SQL Databases, System Software, Datadog, Large Language Models, Kubernetes, Information Technology, Production Code, Bare Metal, Hashicorp, Slurm, Hardware Asset Management, Nvme, Programming Languages - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=fbdea263e2f39841 ## About the Role Do you have experience in Unit testing?, Do you have a Bachelor's degree?, * 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 language-Go (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., * 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 ## Description 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., 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 D0-D5 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. ## Related Videos - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)