Role Description We are hiring a Senior Site Reliability Engineer (SRE) to own the reliability of our GPU training and inference clusters from the US West Coast. You will serve as the on-call anchor for Asian hours, drive incident response on multi-thousand GPU fabrics, and push our platform toward higher availability, faster recovery, and cleaner operations. This is a hands-on role with significant production impact from week one. Key Responsibilities - Cluster Operations & Hardening - Production SLURM Management: Operate and harden production SLURM clusters running large-scale distributed training and inference jobs. - Hardware Health: Own the health of NVIDIA HGX and DGX nodes, including GPU, NVLink, NVSwitch, and BMC diagnostics. - Fabric Tuning: Debug and tune NVIDIA Quantum InfiniBand fabrics (NDR and HDR), including Subnet Manager, topology, adaptive routing, SHARP, and congestion issues. - Root Cause Analysis: Drive deep-dive RCA on GPU failures, XID errors, ECC events, thermal throttling, and link flaps. - Automation & Observability - Systems Automation: Write robust automation in Python, Go, or Bash to replace manual tasks, improve MTTR, and scale operations efficiently. - Observability Stack: Build and maintain observability for GPU fleets using Prometheus, Grafana, DCGM, node exporter, and custom exporters. - Capacity & Rollouts: Contribute to capacity planning, firmware rollout strategy, and cluster bring-up for new sites. - Collaboration & Incident Response - Workload Optimization: Partner with customer workload teams on NCCL tuning, job scheduling policy, QoS, and fairshare. - Operational Excellence: Lead post-mortems, write comprehensive runbooks, and improve change management processes across global regions. - On-Call Leadership: Participate in the on-call rotation for US hours and handle escalations from international sites when necessary. Qualifications - 5+ years in SRE, systems engineering, or HPC operations. - Extensive production experience with SLURM at scale (accounting/slurmdbd, prolog/epilog scripts, cgroups, GRES, topology awareness). - Hands-on experience with NVIDIA datacenter GPUs, driver stacks, CUDA runtime, Fabric Manager, nvidia-smi, DCGM, and GPU Direct RDMA. - Operational experience with InfiniBand fabrics at 100G or higher (OpenSM/UFM, ibdiagnet, perfquery, and fabric troubleshooting). - Expert-level Linux admin skills (Ubuntu/RHEL family), including kernel tuning, systemd, networking, and PXE provisioning. - Solid scripting skills in Python and Bash, plus working knowledge of Ansible or Terraform. Nice to Have - Experience with NCCL internals, PyTorch distributed, or Megatron-style training stacks. - Familiarity with BCM (Base Command Manager), Run:ai, or similar managers. - Experience running Kubernetes on bare metal with GPU, Network, and MPI Operators. - Exposure to high-performance storage like Lustre, WEKA, VAST, or BeeGFS. - Prior work in an AI cloud, neocloud, HPC center, or hyperscaler environment. Benefits - You will touch clusters that train world-class models, working with the most advanced hardware available. - We maintain a flat structure with direct access to leadership and a culture built around technical craftsmanship and ownership. - Full remote flexibility with occasional travel for team summits and datacenter site visits. - Comprehensive US benefits including performance bonuses, equity participation, and 401(k) eligibility.

Role Description Buscamos um(a) Especialista DevOps com atuação hands-on em ambientes críticos, de alta volumetria e baixa latência. Este profissional será responsável por projetar, implementar e sustentar plataformas resilientes, seguras e escaláveis, com foco em automação, confiabilidade (SRE) e governança. Responsabilidades técnicas: - Projetar e evoluir pipelines de CI/CD com foco em versionamento, rastreabilidade (traceability) e rollback seguro - Implementar estratégias de blue/green deployment, canary releases e feature flags - Gerenciar e otimizar clusters Kubernetes em produção (HA, autoscaling, network policies, RBAC) - Desenvolver e manter infraestrutura como código (Terraform) com módulos reutilizáveis e governança - Implementar observabilidade completa (logs, métricas, tracing distribuído) com correlação de eventos - Definir e monitorar SLIs/SLOs/SLAs, atuando com práticas de SRE - Atuar em troubleshooting avançado (análise de dump, profiling, gargalos de I/O, CPU e rede) - Gerenciar pipelines seguros com práticas de DevSecOps (scan de vulnerabilidades, secrets, compliance) - Trabalhar com arquiteturas distribuídas e orientadas a eventos - Otimizar custos e performance em ambientes cloud de larga escala - Automatizar rotinas operacionais e reduzir toil Qualifications - Experiência sólida com CI/CD (Jenkins, GitHub Actions, GitLab CI) em ambientes corporativos - Experiência avançada com Docker e Kubernetes (gestão de clusters produtivos) - Conhecimento profundo em Linux (tuning de kernel, análise de processos, troubleshooting avançado) - Experiência em cloud (AWS, Azure ou GCP) com foco em arquitetura e segurança - Experiência com Terraform (state management, módulos, workspaces) - Conhecimento avançado de redes (TCP/IP, TLS, DNS, proxies, load balancers) - Experiência com observabilidade (Prometheus, Grafana, ELK/EFK, OpenTelemetry) - Experiência com controle de versão e estratégia de branching (GitFlow ou trunk-based) - Scripting avançado (Shell, Python ou Go) Requirements - Experiência com ambientes regulados (LGPD, compliance, auditoria) - Conhecimento em segurança ofensiva/defensiva (hardening, IAM, Zero Trust) - Experiência com service mesh (Istio, Linkerd) - Vivência com mensageria e streaming (Kafka, RabbitMQ) - Experiência com alta volumetria e sistemas de baixa latência - Certificações cloud (AWS, Azure, GCP) - Experiência com chaos engineering Benefits - Mentalidade de dono (ownership) em ambientes críticos - Forte capacidade analítica e de resolução de incidentes complexos - Atuação sob pressão com foco em estabilidade e continuidade do negócio - Comunicação clara com times técnicos e stakeholders Company Description - Experiência em ambientes de missão crítica (bancos, meios de pagamento, fintechs) - Cultura de automação, confiabilidade e melhoria contínua - Capacidade de tomada de decisão baseada em dados

Role Description We are currently seeking a Solution Architecture- DevOps to join our team in Austin, Texas (US-TX), United States (US). A DevOps Architect is the visionary behind an organization’s automation and cloud infrastructure strategy and a part of NTT DATA’s CCoE. He/ She will design the tools, and systems that power efficient software delivery. The DevOps Architect will take a higher-level approach—designing frameworks that guide teams and systems toward automation excellence. The DevOps Architect acts as both strategist and engineer, designing systems that ensure automation, scalability, and operational excellence. Key Responsibilities: - Designing the framework for scalable and secure CI/CD pipelines. - Overseeing the architecture of infrastructure-as-code (IaC) templates for consistent environment provisioning. - Recommend Integration of DevOps tools across multi cloud environments. - Establish governance, monitoring, and compliance frameworks. - Define automation standards and best practices in consultation with engineering teams. - Define and guide code-driven automation. - Operate across multiple cloud platforms such as AWS, Azure, OCI and Google Cloud. - Design frameworks and reference architectures that embrace DevSecOps principles, embedding security checks into every stage of the CI/CD pipeline. - Align DevOps strategy with business outcomes. Qualifications - Minimum 10 years in cloud technology with experience in at least two of the following platforms: AWS, Microsoft Azure, and Google Cloud Platform (GCP). - A minimum of 5 years experience in automation tools with a combination of any of the following: Jenkins, GitLab CI/CD, CircleCI, and Bamboo. - A minimum of 5 years experience with Containerization & Orchestration: Docker or Kubernetes for scalable microservices management. - A minimum of 5 years experience with Infrastructure as Code: Terraform, Ansible, Puppet, or Chef. - A minimum of 5 years experience with Monitoring Tools: Prometheus, Grafana or similar technology. Requirements - Degree in Computer science or equivalent practical experience. - One or more certifications, including: AWS Certified DevOps Engineer – Professional, Microsoft Certified: DevOps Engineer Expert, Google Professional Cloud DevOps Engineer, Kubernetes Certified Administrator (CKA). Benefits - Medical, dental, and vision insurance with an employer contribution. - Flexible spending or health savings account. - Life and AD&D insurance. - Short and long term disability coverage. - Paid time off. - Employee assistance program. - Participation in a 401k program with company match. - Additional voluntary or legally-required benefits.

• Validate and verify resolved defects, enhancements, and newly delivered functionality to ensure quality, stability, and alignment with business requirements before release. • Collaborate with stakeholders to review data extracts, dashboards, and reports, ensuring accuracy, consistency, and meaningful insights for decision-making. • Participate in a 24x7 on-call roster as required, providing timely support and ensuring continuity of critical platform operations. • Manage and resolve incidents within agreed operational SLA targets, maintaining clear communication and ownership through to resolution. • Provide technical support to the Security Operations Centre (SOC), assisting with investigations, system-health checks, and incident triage. • Perform repeat fault analysis and root cause investigations, identifying underlying issues and implementing preventative measures to reduce recurrence. • Conduct quality assurance (QA) of reporting data, pipelines, and outputs to maintain high data integrity and reliability across platforms. • Monitor cloud applications and services to proactively identify risks, performance issues, and optimisation opportunities. • Support continuous improvement initiatives by identifying automation opportunities and streamlining operational processes. • Work closely with DevOps, engineering, and business teams to ensure smooth deployment, integration, and ongoing support of cloud-based applications. • Maintain documentation for processes, incidents, and system changes to support knowledge sharing and operational transparency.