{"id":1228661,"url":"https://alion.io/job/mango-sciences-lead-cloud-engineering-aws-azure","title":"Lead - Cloud Engineering (AWS / Azure)","company":{"id":3800972,"name":"Mango Sciences","domain":"mangosciences.com","url":"https://alion.io/company/mango-sciences","size_band":"11-50","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":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":{"min":3000000,"max":3500000,"currency":"INR","period":"year","gross":true,"usd_annual":36687},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"FinOps","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Grafana","optional":false},{"name":"HIPAA","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Prometheus","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SOC 2","optional":false},{"name":"Terraform","optional":false},{"name":"Windows","optional":false},{"name":"Zero Trust","optional":false}],"status":"live","first_seen_at":"2026-09-09T11:03:21Z","employer_posted_date":null,"last_verified_at":"2026-09-09T11:03:21Z","board_verified":false,"closed_at":null,"days_open":21,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":21},"description":"Job Description: Lead - Cloud Engineering (AWS / Azure)\nRole Title: Lead - Cloud Engineering\nExperience Level: 10+ Years\nDomain Focus: Healthcare AI & Cloud Infrastructure\nLocation: Remote\nJob Overview\nWe are seeking an experienced Lead - Cloud Engineering with over 10 years of IT experience to lead our cloud strategy, architecture, and infrastructure teams. In this role, you will oversee end-to-end cloud deployment, multi-cloud migration, and scalable architecture designed to support cutting-edge Generative AI applications in the healthcare technology domain.\nThe ideal candidate brings deep technical expertise in both AWS and Azure, strong hands-on capability in cloud infrastructure, and proven leadership experience driving security, compliance, and team growth.\nKey Responsibilities\nCloud Architecture & Migration\nLead the architecture, design, and execution of cloud migrations, deployments, and modernizations across AWS and Azure environments.\nDrive Infrastructure as Code (IaC) standards using Terraform, CloudFormation, or Bicep to ensure scalable, automated infrastructure provisioning.\nBuild high-availability, low-latency architectures optimized for data-intensive Generative AI and Machine Learning workloads.\nSecurity & Healthcare Compliance\nEnforce healthcare security standards including HIPAA, HITRUST, SOC 2, and data governance best practices across all cloud assets.\nImplement Zero-Trust security, Identity Access Management (IAM), data encryption key management, and continuous vulnerability monitoring.\nLeadership & Team Management\nManage, mentor, and scale a high-performing team of DevOps, Cloud, and SRE Engineers.\nDrive Agile workflows, sprint planning, incident response frameworks, and SLA compliance.\nCollaborate closely with Data Engineering, AI/ML, and Software Product teams to align infrastructure with business roadmaps.\nOperations & FinOps\nEstablish cloud cost optimization strategies (FinOps) to manage computing costs associated with AI models and large-scale data processing.\nManage monitoring, alerting, and telemetry frameworks (e.g., Prometheus, Datadog, CloudWatch) to ensure 99.99% uptime.\nKey Requirements\nExperience: 10+ years of overall IT experience with at least 5+ years in a cloud leadership or lead architect role.\nCloud Platforms: Advanced hands-on expertise with both AWS (e.g., EC2, S3, EKS, Bedrock, SageMaker) and Azure (e.g., AKS, Azure OpenAI, Blob, Virtual Machines).\nDevOps & IaC: Strong background in Terraform, Docker, Kubernetes, CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins).\nDomain Knowledge: Prior experience building or managing cloud environments within Healthcare, Life Sciences, or HealthTech is strongly preferred.\nAI/ML Familiarity: Experience supporting cloud infrastructure for machine learning pipelines, LLM deployments, or GPU compute management.\nCertifications (Preferred): AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, or Certified Kubernetes Administrator (CKA).\n\nSkills\nAmazon Web Services (AWS), Microsoft Windows Azure, Generative AI, Implementation, System deployment, Data migration, EC2, S3, EKS, AWS Bedrock, Amazon SageMaker, Cloud, Azure Virtual Machines, Azure Blob Storage, Azure, Containers & Orchestration: Kubernetes, Docker, Op, Infrastructure as Code (IaC): Terraform, AWS Cloud, CI/CD Tools: GitHub Actions, GitLab CI/CD, Jenkins, Observability & Telemetry: Prometheus, Grafana, Da, Security, Identity & Compliance: Identity Access M, AI/ML & Data Infrastructure: GPU Compute Managemen","description_format":"text","description_chars":3538,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T14:00:00Z"}],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":0.85,"p_active":0.398,"p_room":0.35,"age_days":21,"expected_fill_days":7,"reasons":["seen:21","win:tail"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":36687,"is_top_pay":false},"html_url":"https://alion.io/job/mango-sciences-lead-cloud-engineering-aws-azure","json_url":"https://alion.io/job/mango-sciences-lead-cloud-engineering-aws-azure.json","meta":{"generated_at":"2026-10-01T09:32:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":184,"day_limit":5000,"remaining_today":4816,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}