{"id":2994806,"url":"https://alion.io/job/ntt-data-systems-integration-senior-specialist-3","title":"Systems Integration Senior Specialist","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":99,"open_postings":95,"ghost_share":0,"stale_share":0.242,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Active Directory","optional":false},{"name":"Ansible","optional":false},{"name":"ArgoCD","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"CUDA","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitOps","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"HPC","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenShift","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Red Hat","optional":false},{"name":"ServiceNow","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Splunk","optional":false},{"name":"Terraform","optional":false},{"name":"KServe","optional":true},{"name":"Kubeflow","optional":true},{"name":"NCCL","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-10-16T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-23T07:40:22Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Req ID: 393040\nNTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.\nWe are currently seeking a Systems Integration Senior Specialist to join our team in Bangalore, Karnātaka (IN-KA), India (IN).\nJob Description\nSenior AI Platform & GPU-as-a-Service (GPUaaS) Engineer\nThe Senior AI Platform & GPU-as-a-Service (GPUaaS) Engineer is responsible for building, operating, automating, and optimizing the enterprise AI Platform & Acceleration Services (AIPAS) capability supporting Artificial Intelligence (AI), Generative AI (GenAI), Machine Learning (ML), Large Language Models (LLMs), High Performance Computing (HPC), and GPU-enabled workloads.\nThis role will partner with architecture, infrastructure, security, networking, storage, OpenShift Engineering, and Line of Business teams to deliver a production-ready GPU platform that enables scalable and secure AI adoption across the enterprise.\nThe engineer will support functions ranging from platform engineering, customer onboarding, GPU workload enablement, operational readiness, observability, capacity management, automation, self-service capabilities, and service optimization. The role requires a combination of platform engineering expertise, operational experience, automation skills, and customer engagement capabilities.\nThe ideal candidate is comfortable operating across infrastructure, platforms, AI workloads, automation, and operations while helping transform GPU infrastructure into an enterprise GPU-as-a-Service offering.\nJob Requirements\nEducation\nBachelor's degree in Computer Science, Engineering, Information Technology, or related discipline (or equivalent experience).\nExperience\nRequired\n5+ years of Platform Engineering, Infrastructure Engineering, Cloud Engineering, Site Reliability Engineering (SRE), or related experience\n3+ years of Kubernetes and/or OpenShift experience\nExperience operating and supporting enterprise production platforms\nExperience automating infrastructure and platform services\nExperience supporting highly available and distributed systems\nFamiliarity with Machine Learning\nFamiliarity with Large Language Models in both Inferencing and Fine Tuning scenarios\nExperience working across multiple technology teams, including infrastructure, security, application, and operations teams\nExperience with NVIDIA GPU infrastructure\nPreferred\n7+ years of enterprise engineering experience\nExperience with OpenShift AI platforms\nExperience with Python, CUDA and Golang\nExperience in highly regulated enterprise environments (Financial Services preferred)\nExperience implementing self-service platform capabilities\nExperience building operational and executive reporting solutions\nCore Competencies\nStrong troubleshooting and analytical skills\nCustomer-focused mindset\nStrong verbal and written communication skills\nAbility to translate business requirements into technical solutions\nAbility to work independently and lead technical initiatives\nStrong collaboration and stakeholder management skills\nAutomation-first mindset\nContinuous improvement and operational excellence focus\nSkill Set\nMust-Have Skills\nPlatform Engineering\nRed Hat OpenShift (OCP)\nKubernetes administration and operations\nLinux administration\nEnterprise compute, storage, and networking\nContainer platform management\nProduction platform operations\nAutomation & DevOps\nAnsible\nTerraform\nInfrastructure-as-Code (IaC)\nGit/GitHub\nCI/CD pipelines\nPython and/or Bash scripting\nOperations & Reliability\nProduction support\nMonitoring and alerting\nIncident, Problem, and Change Management\nRoot Cause Analysis (RCA)\nDisaster Recovery concepts\nRunbook development\nObservability & Capacity Management\nPrometheus\nGrafana\nSplunk or equivalent monitoring platforms\nCapacity planning and forecasting\nUtilization reporting\nDashboard development\nSLA/SLO reporting\nSecurity & Governance\nRBAC and IAM\nKubernetes/OpenShift security\nSecrets management\nVulnerability management\nSecurity and compliance controls\nEnterprise governance processes\nCustomer Enablement\nCustomer onboarding\nTechnical discovery and requirements gathering\nTechnical documentation\nCross-functional collaboration\nCustomer-facing engineering support\nShould-Have Skills\nAI & GPU Platforms\nOpenShift AI\nNVIDIA GPU technologies\nGPU workload onboarding\nAI/ML platform operations\nLLM and GenAI environments\nModel training and inference platforms\nGPU sizing and capacity planning\nAdvanced Automation\nGitOps (ArgoCD)\nAPI integration\nWorkflow automation\nSelf-service platform development\nServiceNow integration\nEnterprise Integration\nActive Directory integration\nEnterprise networking\nEnterprise storage platforms\nCertificate management\nGitHub Enterprise\nServiceNow\nConfluence\nReporting & Analytics\nExecutive dashboards\nCapacity analytics\nConsumption reporting\nService health reporting\nOperational KPI reporting\nNice-to-Have Skills\nNVIDIA & Accelerated Computing\nNvidia Enterprise-Class GPU Experience\nNVIDIA AI Enterprise\nNVIDIA GPU Operator\nCUDA\nNCCL\nTensorRT\nNVIDIA DCGM\nHPC & Large-Scale GPU Environments\nNVIDIA SuperPod experience\nHPC platforms\nMulti-cluster GPU environments\nDistributed training environments\nGPU fabric technologies\nAI/ML Engineering\nMLOps\nKubeflow\nKServe\nJupyterHub\nModel registries\nDeep Learning frameworks\n\nPlatform Optimization\nGPU performance tuning\nGPU utilization optimization\nMIG (Multi-Instance GPU)\nMulti-tenant GPU architectures\nCost optimization\nProduct & Service Management\nService catalog development\nPlatform product ownership\nCustomer experience management\nAdoption analytics\nRoadmap planning\nChargeback/showback models\nAbout NTT DATA\nNTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.\nWhenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.\nNTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.","description_format":"text","description_chars":8225,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Health Care","Information Technology","Data Centers & Colocation"],"lifecycle":[{"event":"open","at":"2026-10-21T10:47:29Z"}],"visa":[],"liveness":{"score":87,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.873,"p_room":1,"age_days":7,"expected_fill_days":21,"reasons":["conf:2","velocity","win:early","comp:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/ntt-data-systems-integration-senior-specialist-3","json_url":"https://alion.io/job/ntt-data-systems-integration-senior-specialist-3.json","meta":{"generated_at":"2026-10-23T10:05:19Z","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":15341,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"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":50348},"rest":"https://alion.io/mcp/rest/get_company?id=50348"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fntt-data-systems-integration-senior-specialist-3"},{"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%2Fntt-data-systems-integration-senior-specialist-3"},{"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%2Fntt-data-systems-integration-senior-specialist-3"},{"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/ntt-data-systems-integration-senior-specialist-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fntt-data-systems-integration-senior-specialist-3"}]}