Engineer Software - Platform [T500-29177]

TMUS Global Solutions

Hyderabad

Hybrid

INR 1,800,000 - 3,000,000

Full time

2 days ago

Be an early applicant

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

TMUS Global Solutions in Hyderabad, India is seeking an Engineer, SW - Platform to design, build, and automate data and workload orchestration platforms using Control‑M as the core engine. You will bridge DevOps, Data Engineering, and Platform Operations to deliver scalable cloud-native solutions across Azure, AWS, or GCP.

The role emphasizes Control‑M administration, scripting, and automation, with responsibilities spanning environment management, observability, and security controls to ensure

Qualifications

Bachelor’s degree or equivalent practical experience.
Hands-on experience administering and supporting Control‑M environments across development, test, and production.
Scripting and automating Control‑M scheduling tasks (CLI/AAPI) to reduce manual effort.
Understanding of Control‑M ownership, ticketing, and dependency models in cross-system batch orchestration.
Ability to troubleshoot Control‑M failures, SLA breaches, and scheduling conflicts; communicate resolutions clearly.
Expertise in Python and automations to reduce manual platform tasks.
Experience deploying in Azure, AWS, or GCP using infrastructure as code.
Experience with data platforms and analytics or virtualization tools.

Responsibilities

Develop scripts and automation frameworks using Control‑M CLI, AAPI, and Web Services to streamline job/folder creation, promotions, calendar management, and version control.
Monitor and maintain Control‑M job health, SLAs, and alerting; build dashboards to identify batch failures and bottlenecks.
Support Control‑M environment builds, upgrades, patching, and agent/server administration for reliability and security.
Design, build, and automate cloud-native platform solutions across Azure, AWS, or GCP and data tools such as PowerBI/Tableau/Denodo or SAS or Hadoop.
Engineer orchestration, scheduling, and data pipelines including Databricks, Snowflake, and Control‑M.
Develop and maintain scripts that improve reliability and observability (monitoring/alerts/dashboards).
Collaborate on platform architecture, standards, and security controls to boost resiliency and cost efficiency.
Create and maintain runbooks, blueprints, templates, and operational playbooks.

Skills

Control‑M administration

Job scheduling

Python

Bash

PowerShell

Terraform

Ansible

ARM templates

Snowflake

Databricks

Linux

Windows

CLI/AAPI/Web Services

Cloud platforms (Azure/AWS/GCP)

AI/ML tooling basics (Claude Cursor)

Education

Bachelor’s Degree in Computer Science, Engineering, or related field

Tools

Terraform

Ansible

ARM templates

Snowflake

Databricks

Job description

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.

Engineer, SW - Platform (L08)

About the Role:

Engineer, SW - Platform is responsible for designing, developing, and automating T-Mobile's data, infrastructure, and workload orchestration platforms — with Control-M as a core scheduling and automation engine — that enable analytics and software delivery across the enterprise. This role builds resilient, scalable, cloud-native systems that integrate software engineering, infrastructure, and operations, using Control-M to orchestrate complex batch workflows, cross-platform job dependencies, and enterprise-wide scheduling to drive automation, efficiency, and reliability. The engineer develops infrastructure as code, administers and automates Control-M environments (servers, agents, jobs, and calendars) via CLI/AAPI, and creates reusable services and tools that accelerate delivery. This position bridges DevOps, Data Engineering, and Platform Operations disciplines — with Control-M administration and job orchestration as a central responsibility — and directly supports T-Mobile's builder culture and cloud transformation strategy.

What You’ll Do:

Develop scripts and automation frameworks using Control-M's CLI, AAPI, and Web Services to streamline job/folder creation, promotions, calendar management, and version control.
Monitor and maintain Control-M job health, SLAs, and alerting, building dashboards and observability tooling to proactively identify batch failures, delays, and performance bottlenecks.
Support Control-M environment builds, upgrades, patching, and agent/server administration, ensuring platform reliability, security, and role-based access control across environments
Design, build, and automate cloud-native platform solutions across Azure, AWS, or GCP environments or data visualization tools (PowerBI, Tableau, Metric Insights or Qlik Sense) or data virtualization tools (Denodo) or analytical tool (SAS) or on-prem platform (Hadoop).
Engineer orchestration, scheduling, and data platform pipelines, including automation for Databricks, Snowflake, and Control-M
Develop and maintain scripts that support platform reliability and observability, including monitoring, alerting, and performance dashboards
Collaborate on platform architecture, standards, and security controls to improve resiliency, performance, and cost efficiency
Create and maintain platform documentation such as runbooks, blueprints, templates, and operational playbooks.

What You’ll Bring:

Bachelor’s Degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Hands‑on experience administering and supporting Control‑M environments, including servers, agents, and Enterprise Manager, across development, test, and production.
Practical experience scripting and automating Control‑M job scheduling tasks (CLI/AAPI) to reduce manual scheduling, promotion, and calendar‑maintenance effort.
Understanding of Control‑M job ownership, ticketing, and dependency models within complex, cross-system batch orchestration environments.
Ability to troubleshoot Control‑M job failures, SLA breaches, and scheduling conflicts, and communicate resolutions clearly to engineering and business stakeholders.
Expertise in scripting using python and ability to develop automations to reduce manual tasks related to platform.
Hands‑on experience designing and deploying solutions in Azure, AWS, or GCP using infrastructure as code
Experience working with modern data platforms, analytics, virtualization or visualization technologies.

Must Have Skills:

Working knowledge of Control‑M platform roles and responsibilities, including job/folder ownership, scheduling calendars, SLA management, and alert configuration.
Proficiency automating Control‑M via CLI, AAPI, or Web Services to support provisioning, promotions, and operational workflows.
Experience with Control‑M administration tasks such as version upgrades, patching, agent management, and role‑based access/change control.
Ability to document Control‑M standards, runbooks, and escalation procedures for job scheduling and batch operations support.
Proficiency in programming and automation using Python, Bash, and PowerShell
Strong experience using infrastructure‑as‑code tools such as Terraform, Ansible, or ARM templates
Hands‑on experience with data platforms such as Snowflake and Databricks, or comparable analytics, virtualization, or on‑prem platforms
Strong skills working in Linux and Windows operating system environments
Basic knowledge of implementing AI solutions using Claude code or Cursor.

Nice to Have:

Experience with data visualization tools such as Power BI, Tableau, Metric Insights, or Qlik Sense
Experience with data virtualization tools such as Denodo or analytical tools such as SAS
Experience with on‑prem platforms such as Hadoop

Cloud and platform certifications such as: