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Engineer, Software - Platform Automation [T500-20372]

Engineer, Software - Platform Automation [T500-20372]

ANSRhyderabad, telangana, in
8 days ago
Job description

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 field
  • 2-5 years of experience in DevOps, platform, automation, or infrastructure engineering roles
  • Hands-on experience in scripting and automation using Python, Bash, or Go
  • Proficiency in Infrastructure-as-Code tools such as Terraform, Ansible, or Helm
  • Familiarity with CI / CD pipelines and tools like GitLab CI / CD, Jenkins, or ArgoCD
  • Working knowledge of Kubernetes and container-based architecture
  • Experience working in cloud environments, preferably Azure
  • Exposure to building internal tooling, developer self-service portals, or onboarding automation
  • Familiarity with observability practices and tooling for metrics and logging
  • Understanding of platform security practices, secrets management, and API integrations
  • Effective communication and cross-functional collaboration skills
  • Strong problem-solving ability and a drive to automate manual or repetitive work
  • Willingness to learn new tools and technologies and contribute to team-wide improvement initiatives
  • Must Have Skills :

  • Application & Microservice : Java, Spring boot, API & Service Design
  • Any CI / CD Tools : Gitlab Pipeline / Test Automation / GitHub Actions / Jenkins / Circle CI
  • App Platform : Docker & Containers (Kubernetes)
  • Any Databases : SQL & NOSQL (Cassandra / Oracle / Snowflake / MongoDB)
  • Any Messaging : Kafka, Rabbit MQ
  • Any Observability / Monitoring : Splunk / Grafana / Open Telemetry / ELK Stack / Datadog / New Relic / Prometheus)
  • AI / Machine learning : Anomaly detection
  • Nice To Have :

  • Baseline anomaly detection for logs / metrics
  • Configure AIOps (Datadog, Moogsoft, BigPanda)
  • Kafka / EventHubs streaming ingestion
  • OTel collector pipelines (enrichment, normalization)
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