{"id":1948268,"url":"https://alion.io/job/morningstar-infrastructure-engineer","title":"Infrastructure Engineer","company":{"id":12394,"name":"Morningstar","domain":"morningstar.com","url":"https://alion.io/company/morningstar","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New Delhi, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11000,"max_usd":29000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon S3","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Bash","optional":false},{"name":"Chef","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Git","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"OpenSearch","optional":false},{"name":"PowerShell","optional":false},{"name":"Prometheus","optional":false},{"name":"Puppet","optional":false},{"name":"Terraform","optional":false},{"name":"Windows","optional":false},{"name":"Windows Server","optional":false}],"status":"live","first_seen_at":"2026-09-16T00:00:00Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-10-09T21:35:30Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"Key Responsibilities\nDesign, deploy, and maintain highly available, scalable, and secure cloud infrastructure on AWS.\n\nManage and administer production environments for large-scale applications.\n\nImplement Infrastructure as Code (IaC) solutions using tools such as Terraform, CloudFormation, and Ansible.\n\nConfigure, monitor, and optimize AWS services including compute, storage, networking, and database components.\n\nDevelop and maintain CI/CD pipelines using AWS DevOps services and Jenkins.\n\nAutomate infrastructure provisioning, deployments, and operational tasks using scripting and automation tools.\n\nManage containerized workloads and Kubernetes/EKS clusters in production environments.\n\nPerform Linux and Windows server administration, troubleshooting, and performance tuning.\n\nImplement monitoring, logging, alerting, and observability solutions using CloudWatch, Prometheus, and related tools.\n\nCollaborate with development, QA, and security teams to ensure efficient software delivery and operational excellence.\n\nEnsure infrastructure security, compliance, backup, and disaster recovery best practices.\n\nManage source code repositories and version control workflows using Git.\n\nTroubleshoot infrastructure, deployment, networking, and application-related issues.\n\nRequired Skills & Qualifications\n3-4 years of hands-on experience in Cloud Infrastructure, DevOps, or Infrastructure Engineering roles.\n\nStrong experience in designing, maintaining, and administering production environments for enterprise applications.\n\nHands-on experience with AWS Cloud Administration using AWS Console and AWS CLI.\n\nGood knowledge of AWS services, including: EC2 S3 IAM Route 53 ElasticSearch/OpenSearch ElastiCache DynamoDB Aurora Kinesis Lambda\n\nExperience implementing complex deployments using: AWS CloudFormation Terraform Ansible\n\nStrong knowledge of Infrastructure Automation tools such as: Ansible Chef Puppet\n\nGood understanding of Git and source code repository management.\n\nHands-on experience with at least one CI/CD platform such as Jenkins.\n\nExperience working with containerization technologies including Docker and Kubernetes (EKS preferred).\n\nStrong scripting skills using Bash and/or PowerShell.\n\nHands-on experience with Linux and Windows Server administration.\n\nExperience configuring monitoring and alerting solutions using CloudWatch, Prometheus, Grafana, or similar tools.\n\nMorningstar is an equal opportunity employer.\nMorningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.\nI10_MstarIndiaPvtLtd Morningstar India Private Ltd. 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