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 is a subsidiary of T-Mobile US, Inc. and 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 management
- Build internal developer tools and automation that streamline infrastructure and application lifecycle management
- Design and implement Infrastructure-as-Code (IaC) using Terraform, Helm, or Ansible
- Contribute to event-driven automation using CI / CD tools such as GitLab, Jenkins, or ArgoCD
- Integrate monitoring, alerting, and logging capabilities into platform automation using tools like Prometheus, Grafana, or Splunk
- Develop and maintain auto-remediation and health check mechanisms to support resilient operations
- Apply GitOps principles to infrastructure and application delivery
- Collaborate with DevOps, cloud, SRE, and security teams to gather requirements and build reliable, reusable automation components
- Create and maintain documentation, usage guides, and onboarding material for internal automation tools
- Participate in daily standups, retrospectives, and engineering planning sessions
What 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)