{"id":18025,"url":"https://alion.io/job/integrant-devops-sysops-architect","title":"Devops & SysOps Architect","company":{"id":5272,"name":"Integrant","domain":"integrant.com","url":"https://alion.io/company/integrant","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":90,"open_postings":25,"ghost_share":0.08,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":91,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cairo, Egypt"],"countries":["EG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":198000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":823},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Ansible","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure DevOps","optional":false},{"name":"BGP","optional":false},{"name":"CI/CD","optional":false},{"name":"Cilium","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"cuDNN","optional":false},{"name":"DeepSpeed","optional":false},{"name":"Error Budget","optional":false},{"name":"External Secrets","optional":false},{"name":"Fluent Bit","optional":false},{"name":"GitOps","optional":false},{"name":"HashiCorp Vault","optional":false},{"name":"HPC","optional":false},{"name":"IAM","optional":false},{"name":"InfiniBand","optional":false},{"name":"Istio","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Loki","optional":false},{"name":"NCCL","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"PyTorch","optional":false},{"name":"Red Hat","optional":false},{"name":"Service Mesh","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SLURM","optional":false},{"name":"TensorRT","optional":false},{"name":"Terraform","optional":false},{"name":"Thanos","optional":false},{"name":"Triton Inference Server","optional":false},{"name":"Vault","optional":false},{"name":"Zero Trust","optional":false},{"name":"Grafana","optional":true}],"status":"live","first_seen_at":"2026-04-26T00:00:00Z","employer_posted_date":"2026-04-26","last_verified_at":"2026-10-18T00:22:48Z","board_verified":true,"closed_at":null,"days_open":175,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":174},"description":"We are seeking an exceptional Senior Lead who combines deep hands-on SysOps/HPC expertise with the strategic vision of a solution architect. This is a rare dual-track role: you operate at the intersection of elite technical execution and client-facing presales, designing and running mission-critical GPU, HPC, and Kubernetes platforms while simultaneously co-creating opportunity with our commercial teams.\nThis role carries both SysOps, HPC depth and DevOps. You are expected to spend at least 60% of your time on implementation and technical execution\nWhat You Will Do\nPresales & Business Development\nPartner with sales and solution teams to identify and qualify new opportunities\nLead or support technical presales activities: discovery workshops, RFP responses, architecture presentations\nBuild and deliver proof-of-concepts (POCs) that demonstrate platform capabilities to prospective clients\nPrepare high-quality technical materials\nAct as a trusted technical advisor during client conversations, proposing solutions aligned to business goals\nIn-Account Delivery - SysOps & DevOps Execution\nOperate directly within client accounts as a senior SysOps/DevOps engineer\nRun, troubleshoot, and optimize production-grade Kubernetes clusters and GPU/HPC environments hands-on\nOwn Linux system administration at a deep level: kernel tuning, storage, networking, performance profiling\nImplement and maintain IaC pipelines, GitOps workflows, and CI/CD systems\nServe as the senior escalation point for complex operational incidents within accounts\nArchitecture & Solution Design\nDesign end-to-end platform architectures spanning cloud, hybrid, and on-premises HPC environments\nDefine workload isolation models, networking architectures, and storage strategies for multi-tenant platforms\nRecommend and validate technology choices aligned to client scale, budget, and team maturity\nProduce architecture decision records (ADRs), solution blueprints, and technical runbooks\nTechnical Competencies & Requirements\n1. Architecture & System Design\nDesign production-grade multi-cluster Kubernetes platforms:\nRKE2, EKS (AWS), AKS (Azure) at enterprise scale\nGPU-aware clusters: NVIDIA H100 / A100 / B200 node pools\nHybrid cloud + on-premises HPC infrastructure\nDefine and document:\nWorkload isolation: namespaces, MIG partitioning, multi-tenancy models\nNetworking: BGP peering, Ingress controllers, service mesh (Istio / Cilium)\nStorage: Longhorn, Ceph, distributed and high-throughput file systems\n2. Platform Engineering & GitOps Strategy\nDefine and enforce platform standards across the delivery lifecycle\nGitOps tooling: ArgoCD, Fleet - declarative cluster management\nCI/CD pipelines: Azure DevOps, Jenkins - build, test, promote\nInfrastructure as Code: Terraform (modules, remote state, workspaces), Ansible\nStandardize cluster bootstrapping, app deployment lifecycle, environment promotion (Dev → QA → Prod)\n3. AI / GPU Infrastructure Architecture (Priority Competency)\nDesign and operate GPU compute platforms at scale:\nGPU Operator deployment and lifecycle management\nMIG (Multi-Instance GPU) partitioning for multi-tenant workloads\nAdvanced scheduling: Run:AI, Kubernetes-native GPU scheduling (device plugins)\nUnderstand AI workload classes and their infrastructure implications:\nDistributed training workloads (data/model/pipeline parallelism)\nInference pipelines - NVIDIA Triton Inference Server, TensorRT optimization\nAlign infrastructure to the full AI stack:\nCUDA stack, cuDNN, NCCL collective communication libraries\nHigh-speed networking: InfiniBand (HDR/NDR), RoCE for RDMA\nGPUDirect RDMA / GPUDirect Storage for low-latency data paths\n4. Observability & Reliability Engineering\nDefine and implement full-stack observability:\nMetrics: Prometheus, Thanos (long-term retention, multi-cluster)\nLogs: Loki, Fluent Bit\nGPU telemetry: DCGM Exporter, NVIDIA Nsight Systems\nBuild operational frameworks:\nSLO / SLA definitions and error budget tracking\nAlerting strategy - noise reduction, severity routing\nIncident response playbooks and on-call runbooks\n5. Security & Multi-Tenancy Architecture\nDesign zero-trust security postures for multi-tenant platforms\nSecret management: HashiCorp Vault, External Secrets Operator\nIdentity and access: IAM, RBAC, SSO/OIDC integration\nNetwork isolation: NetworkPolicy, micro-segmentation, mTLS\nSecure GPU sharing: MIG isolation, VGPU licensing, tenant boundary enforcement\n6. HPC, Data & Storage Architecture (Priority Competency)\nUnderstand the high-performance storage for AI/HPC workloads:\nGPUDirect Storage - bypassing CPU for GPU-native I/O\nDistributed file systems: Weka (high-throughput NFS/S3), Ceph (scalable object/block)\nStorage tiering, caching strategies, and data lifecycle management\nSize and validate storage architectures against workload I/O profiles\n7. Operational Leadership & Linux Systems\nLead incident response and root cause analysis (RCA) for critical production issues\nDefine upgrade strategies, change management procedures, and disaster recovery plans\nWrite and maintain runbooks, operational playbooks, and knowledge base content\nIntegrate organizational processes, compliance requirements, and security policies into operational frameworks\nDeep Linux expertise:\nKernel tuning (CPU governor, NUMA, IRQ affinity, hugepages)\nStorage I/O scheduling, NVMe optimization\nNetwork stack tuning for RDMA / InfiniBand\nSystem performance profiling and bottleneck analysis\nCandidate Profile - Who You Are\nyou are comfortable running production systems.\nYou have stronger SysOps and HPC depth than DevOps breadth, and you embrace that identity\nYou can shift fluidly between running a live incident, presenting an architecture to a CTO, and reviewing a POC demo environment\nYou communicate technical complexity clearly - to engineers and to C-level stakeholders\nYou understand why specific tooling choices matter (not just how to configure them) and can articulate trade-offs in presales conversations\nYou are comfortable owning outcomes across both commercial (presales) and delivery (operations) dimensions\nYou thrive in ambiguity and can scope both short POCs and long-horizon platform programs\nRequirements\nRequired\n10+ years in platform/infrastructure engineering, with at least 2 years in architect-level role\nProven hands-on experience operating Kubernetes at scale in production (multi-cluster, multi-tenant)\nSignificant Linux systems administration experience - kernel, networking, storage at a low level\nHPC and/or GPU infrastructure experience - physical GPU servers, NCCL, InfiniBand, or high-speed fabrics\nDemonstrable presales or client-facing experience\nIaC experience: Terraform and/or Ansible in production environments\nStrong understanding of GitOps and CI/CD pipelines in enterprise settings\nStrongly Preferred\nExperience with NVIDIA GPU Operator, MIG partitioning, Run:AI, or equivalent GPU scheduling tooling\nKnowledge of distributed AI training infrastructure (PyTorch DDP, Horovod, DeepSpeed) from an infrastructure perspective\nFamiliarity with NVIDIA Triton Inference Server or TensorRT deployment pipelines\nExperience with Weka, Ceph, or GPUDirect Storage in HPC/AI environments\nHands-on experience with Vault, External Secrets, and zero-trust network architectures\nExposure to bare-metal provisioning and HPC cluster management (Slurm, PBS, or equivalent)\nCertifications (Advantageous)\nCKA / CKS (Certified Kubernetes Administrator / Security Specialist)\nRHCE / RHCA (Red Hat Certified Engineer / Architect)\nAWS Solutions Architect / Azure Solutions Architect Expert\nHashiCorp Terraform Associate or Vault Associate\nNVIDIA DLI certifications (GPU computing, AI infrastructure)\nBenefits\nWhy Integrant? \nCompetitive compensation package \nPTO, full medical and dental coverage, etc. \nOpportunity to travel and work onsite with U.S. customers \nIn-house Technical and English training programs \nDedicated learning time (check out our 4Plus1 Program) [link] \nInterest free loans \nFlexible work schedules \nPerks: events, sponsored lunch, game area, rooftop hangout + more!","description_format":"text","description_chars":8042,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile App Development Services","Web Development Services","Custom Software Development","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-04-21T00:00:00Z"}],"visa":[],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.696,"p_room":0.36,"age_days":174,"expected_fill_days":91,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/integrant-devops-sysops-architect","json_url":"https://alion.io/job/integrant-devops-sysops-architect.json","meta":{"generated_at":"2026-10-18T00:38:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1096,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5272},"rest":"https://alion.io/mcp/rest/get_company?id=5272"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fintegrant-devops-sysops-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fintegrant-devops-sysops-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fintegrant-devops-sysops-architect"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/integrant-devops-sysops-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintegrant-devops-sysops-architect"}]}