Java Backend / Cloud Platform Lead

QUALCOMM, Inc.

Hyderabad, Bengaluru

On-site

INR 4,000,000 - 7,000,000

Full time

12 days ago

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Job summary

Qualcomm India Private Limited is seeking a Platform Development Engineering Team Lead with 10+ years of experience to design, build, automate, and operate large-scale cloud platforms. You will drive IaC, CI/CD, and secure, resilient cloud solutions across AWS, Azure, or GCP.

You will collaborate with software engineering, security, and operations to enhance developer productivity and operational excellence, while mentoring engineers and leading cloud transformation initiatives.

Qualifications

  • 10+ years of software engineering or related work experience.
  • Bachelor's degree in Engineering, or Master's in CS/IS, or related field.
  • Proficiency in programming languages such as Python or Ruby with automation focus.

Responsibilities

  • Design, build, and maintain scalable cloud solutions on AWS, Azure, or GCP.
  • Develop reusable cloud architecture patterns and platform services.
  • Lead DevOps with CI/CD, deployment automation, and orchestration.
  • Ensure secure cloud workloads with IAM, encryption, and governance.
  • Mentor junior engineers and collaborate with product, security, and infra.
  • Drive cloud modernization and multi-region deployment strategies.

Skills

Cloud platforms
Infrastructure as Code
Container orchestration
CI/CD practices
Security practices
DevOps leadership

Education

Bachelor's degree in Engineering
Master's in CS/IS
PhD in Engineering/CS

Tools

Terraform
CloudFormation
CDK
Kubernetes
Docker
Jenkins
GitHub Actions
Azure DevOps
GitLab CI
Datadog
Grafana
ELK Stack
CloudWatch
Azure Monitor
Python
PowerShell

Job description

Company: Qualcomm India Private Limited

Job Area: Engineering Group, Software Engineering

Job Summary

We are seeking a highly skilled and experienced Platform Development Engineering team Lead with 10+ years of experience in designing, developing, automating, and operating large-scale cloud platforms with complex adjacent ecosystems. The ideal candidate will have deep expertise in cloud-native technologies, development and build mindset, Infrastructure-as-Code (IaC), CI/CD automation, container orchestration, observability, and site reliability engineering practices. He/She builds from the ground up to meet the needs of the platform and is always looking for innovative approaches to deliver end-to-end technical solutions to enhance and mature the Cloud platform.

This role will collaborate closely with software engineering, architecture, security, and operations teams to build scalable, secure, and highly available cloud solutions while improving developer productivity and operational excellence.

Key Responsibilities
  • Cloud Platform Engineering
    • Design, build, and maintain scalable cloud solutions on AWS, Azure, or GCP.
    • Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions and software applications.
    • Develop reusable cloud architecture patterns and platform services.
    • Implement high-availability, disaster recovery, and multi-region deployment strategies.
    • Manage containerization tools like Kubernetes and Docker for microservices application development.
    • Drive cloud modernization and cloud-native adoption initiatives.
    • Implement secure cloud workload practices including secure logins.
    • Develop automation tools and cloud-native services using Python, Go, Java, or Bash.
    • Build self-service capabilities to improve developer productivity.
    • Create APIs and integrations for platform operations.
    • Lead DevOps initiatives with a focus on CI/CD practices, deployment automation, and orchestration.
    • Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements.
  • DevOps CI/CD Automation
    • Design and implement end-to-end CI/CD pipelines using tools such as Jenkins, GitHub Actions, Azure DevOps, or GitLab CI.
    • Drive DevOps and platform engineering best practices across development teams (build, test, deploy, release, rollback). Automate software build, test, security scanning, and deployment processes.
    • Expertise in DevOps tools like Git, Gitlab, Jenkins, JFrog, GitOps practices or similar tools and drive standardization.
    • Improve deployment frequency, reliability, and release automation.
  • Security Compliance
    • Implement cloud security best practices including IAM, Secrets Management, Encryption, and Policy Enforcement.
    • Integrate DevSecOps controls into CI/CD pipelines.
    • Ensure compliance with enterprise security and governance standards.
  • Leadership Collaboration
    • Provide technical guidance and mentoring to junior engineers.
    • Participate in architecture reviews and technology evaluations.
    • Collaborate with Product, Development, Security, and Infrastructure teams.
    • Lead major cloud transformation and automation initiatives.
    • Identify systemic issues, lead root-cause analysis of complex production incidents, and define long-term corrective actions.
    • Evaluate new tools, technologies, and cloud services; make recommendations aligned to business and engineering goals.
Education

Bachelor's degree in Engineering or Master's degree in Computer Science, Information Systems, Computer Science, or related field and 10+ years of Software Engineering or related work experience. Knowledge of programming language (e.g., Python, Ruby, etc.), with experience and has passion with self-motivation for automation.

Technical Skills
  • Cloud Platforms
    • AWS
    • Azure
    • Google Cloud Platform
  • Infrastructure as Code
    • Terraform
    • CloudFormation
    • CDK
  • Container Orchestration
    • Kubernetes
    • Docker
  • CI/CD DevOps
    • Jenkins
    • GitHub Actions
    • Azure DevOps
    • GitLab CI
  • Programming Scripting
    • Python
    • PowerShell
  • Monitoring Observability
    • Datadog
    • Grafana
    • ELK Stack
    • CloudWatch
    • Azure Monitor
  • Source Control
    • Git
    • GitHub
    • GitOps methodologies
Minimum Qualifications
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
  • OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
  • OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
  • 2+ years of work experience with programming language such as C, C++, Java, Python, etc.
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