Platform Infrastructure Automation Engineer

ANSR is hiring for one of its clients.About T-Mobile:T-Mobile US, Inc. (NASDAQ: TMUS), headquartered in Bellevue, Washington, is America’s supercharged Un-carrier, connecting millions through its strong nationwide network and flagship brands, T-Mobile and Metro by T-Mobile. Customers benefit from an unmatched combination of value, quality, and exceptional service experience.About TMUS Global Solutions:TMUS Global Solutions is a world-class technology powerhouse accelerating the company’s global digital transformation. With a culture built on growth, inclusivity, and global collaboration, the teams here drive innovation at scale, powered by bold thinking.TMUS India Private Limited operates as TMUS Global Solutions.About the Role:The Engineer – you will be a key member of the CFL Platform Engineering and Operations team. Platform Automation will focus on building, maintaining, and scaling automation solutions for cloud-native platforms and infrastructure. This role is essential to supporting high-velocity development teams through reliable, scalable, and self-service platform capabilities. You will work across provisioning, CI/CD, observability, and reliability layers to reduce operational overhead and drive consistency through code. The ideal candidate is hands-on, collaborative, and passionate about infrastructure automation, DevOps practices, and developer experience.What You’ll Do:Develop and maintain scripts, tools, and workflows for provisioning, deployment, patching, and configuration managementBuild internal developer tools and automation that streamline infrastructure and application lifecycle managementDesign and implement Infrastructure-as-Code (IaC) using Terraform, Helm, or AnsibleContribute to event-driven automation using CI/CD tools such as GitLab, Jenkins, or ArgoCDIntegrate monitoring, alerting, and logging capabilities into platform automation using tools like Prometheus, Grafana, or SplunkDevelop and maintain auto-remediation and health check mechanisms to support resilient operationsApply GitOps principles to infrastructure and application deliveryCollaborate with DevOps, cloud, SRE, and security teams to gather requirements and build reliable, reusable automation componentsCreate and maintain documentation, usage guides, and onboarding material for internal automation toolsParticipate in daily standups, retrospectives, and engineering planning sessionsWhat You’ll Bring:Bachelor’s degree in Computer Science, Engineering, or a related technical field2-5 years of experience in DevOps, platform, automation, or infrastructure engineering rolesHands-on experience in scripting and automation using Python, Bash, or GoProficiency in Infrastructure-as-Code tools such as Terraform, Ansible, or HelmFamiliarity with CI/CD pipelines and tools like GitLab CI/CD, Jenkins, or ArgoCDWorking knowledge of Kubernetes and container-based architectureExperience working in cloud environments, preferably AzureExposure to building internal tooling, developer self-service portals, or onboarding automationFamiliarity with observability practices and tooling for metrics and loggingUnderstanding of platform security practices, secrets management, and API integrationsEffective communication and cross-functional collaboration skillsStrong problem-solving ability and a drive to automate manual or repetitive workWillingness to learn new tools and technologies and contribute to team-wide improvement initiativesMust Have Skills:Application & Microservice: Java, Spring boot, API & Service DesignAny CI/CD Tools : Gitlab Pipeline/Test Automation/GitHub Actions/ Jenkins /Circle CIApp Platform: Docker & Containers (Kubernetes)Any Databases : SQL & NOSQL (Cassandra/Oracle/Snowflake/MongoDB)Any Messaging: Kafka, Rabbit MQAny Observability/Monitoring: Splunk/ Grafana/ Open Telemetry /ELK Stack/ Datadog/ New Relic/ Prometheus)AI/Machine learning: Anomaly detectionNice To Have:Baseline anomaly detection for logs/metricsConfigure AIOps (Datadog, Moogsoft, BigPanda)Kafka/EventHubs streaming ingestionOTel collector pipelines (enrichment, normalization)