Production Engineer, HPC Reliability & Automation L1
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IT/Tech
SRE/Site Reliability, Systems Engineer, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Production Engineer, HPC Reliability & Automation L1
Job Description
Job Title:
Production Engineer, HPC Reliability & Automation L1 City:
Dallas State/Province:
Texas Posting
Start Date:
11/6/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.
For additional information, visit us at
Location: United States candidates only
Work Arrangement: 100% Remote,
Must live within the Pacific Time Zone!
The customer is seeking an engineer with strong High-Performance Computing (HPC) and Site Reliability Engineering (SRE) experience to support a growing multi-cloud AI infrastructure.
You will troubleshoot complex operational problems across compute, accelerators, workload scheduling, storage, and networking, then turn those findings into proactive detection, diagnosis, and safe automated remediation, including AI-powered agents.
Strong production HPC experience is essential. Prior experience building or orchestrating AI agents is welcome but not required
.
- Understand and support multi-cloud HPC architecture across clusters, schedulers, accelerators, storage, networking, and authentication.
- Proactively identify reliability and performance issues by correlating logs, metrics, and events across cloud environments.
- Troubleshoot complex issues across Linux, containers, schedulers, distributed workloads, storage, networking and accelerators to identify root cause.
- Turn investigations into repeatable automation and agent-enabled workflows for detection, diagnosis, and safe remediation.
- Strengthen observability and monitoring while partnering with infrastructure, research, security, and cloud-provider teams on long-term fixes.
- Production experience with HPC, GPU/accelerator clusters, or large-scale distributed computing in a reliability-focused engineering role.
- Strong Linux and networking skills, including troubleshooting processes, containers, storage I/O, DNS, connectivity, and authentication.
- Multi-cloud observability experience using Prometheus, Grafana, Open Telemetry, centralized logging, or similar tools
. - Strong Python or Go automation experience and demonstrated ownership of complex production investigations through root cause and permanent resolution.
- Slurm, Kubernetes, or similar HPC scheduling/cluster orchestration experience.
- Experience supporting AI training or accelerator-intensive workloads
, including GPU/TPU health, distributed-job failures, interconnect issues, data-loading bottlenecks, or checkpointing. - Experience with AWS, GCP, Core Weave, or OCI and cloud-native observability.
- HPC storage/networking experience with NFS/POSIX, Lustre, object storage, RDMA/Infini Band, or RoCE
. - Infrastructure automation experience with Terraform, Helm, or cluster operators
. - Experience building or orchestrating AI agents for infrastructure operations is welcome but not required.
Mandatory
Skills:
Site Reliability Engineering (SRE).
Experience:
>10 YEARS.The expected compensation for this role ranges from $100,000 to $200,000 .Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based…
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