Engineer, software

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, Dev Ops 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 (Ia C) using Terraform, Helm, or Ansible Contribute to event-driven automation using CI/CD tools such as Git Lab, Jenkins, or Argo CD 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 Git Ops principles to infrastructure and application delivery Collaborate with Dev Ops, 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 Dev Ops, 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 Git Lab CI/CD, Jenkins, or Argo CD 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/Git Hub Actions/ Jenkins /Circle CI App Platform: Docker & Containers (Kubernetes) Any Databases : SQL & NOSQL (Cassandra/Oracle/Snowflake/Mongo DB) 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, Big Panda) Kafka/Event Hubs streaming ingestion OTel collector pipelines (enrichment, normalization)