{"id":1302437,"url":"https://alion.io/job/ltm-devops-lead-cloud-infrastructure","title":"DevOps Lead - Cloud Infrastructure","company":{"id":9353,"name":"Ltm","domain":"ltm.com","url":"https://alion.io/company/ltm","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":58000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"API 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Azure and AWS environments.\n\n- Assess application cloud readiness and analyze dependencies across applications, databases, and middleware.\n\n- Provision Landing Zones, cloud infrastructure, and platform services using Infrastructure as Code (IaC).\n\n- Deploy applications using serverless and cloud-native services.\n\n- Build and automate DevOps, DataOps, and MLOps pipelines to enable continuous integration and continuous deployment (CI/CD).\n\n- Provision GPU clusters and ML container environments for foundation model deployment, fine-tuning, and model optimization.\n\n- Develop cloud service catalogs, reusable cloud blueprints, and automated ML/data workflows.\n\n- Monitor, govern, and optimize cloud consumption using FinOps best practices.\n\n- Ensure security, scalability, reliability, and operational excellence across cloud platforms.\n\nRequired Skills & Qualifications : \n\nCloud & Infrastructure : \n\n- Strong understanding of cloud architecture concepts including : Virtual Machines, Serverless Computing, Private/Public/Hybrid Cloud, API Gateway, Auto Scaling, Cloud Migration, CDN, Event-Driven Architecture, DNS, Microservices, Middleware, VPC, and Storage Services.\n\nNetworking and Security : \n\n- Cloud Security experience with IAM, RBAC, MFA, Data Encryption, Container Security, IPS/HIPS, Virtual Firewalls, and Anti-malware solutions.\n\nStorage & Data : \n\n- Knowledge of Block, Object, and Archive Storage, and cost/performance optimization techniques.\n\nCloud Platforms : \n\n- Expert-level hands-on experience with Azure or AWS infrastructure, platform, and application services.\n\n- Experience designing and deploying large-scale enterprise cloud-native solutions.\n\nAI/ML & Data Platforms : \n\n- Experience supporting AI/ML workloads on cloud platforms.\n\n- Exposure to GPU infrastructure, MLOps, and DataOps frameworks.\n\n- Understanding of cloud-native AI/ML services and data processing platforms.\n\nMigration & Automation : \n\n- Proven experience executing application migration and modernization initiatives, including lift-and-shift migrations.\n\n- Strong automation and Infrastructure-as-Code expertise.\n\nPreferred Skills : \n\n- Data Engineering, DataOps, MLOps, Generative AI / AI-ML platforms, Kubernetes and Container Orchestration, Terraform, Bicep, or CloudFormation.\n\nSkills\nDevOps, AWS, Azure, Kubernetes, IAC Terraform, Cloud Infrastructure, Native Cloud, AI Integration","description_format":"text","description_chars":2694,"description_truncated":false,"requirements":{"experience_years_min":9,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Enterprise Apps Implementation 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