Cloud Platform Development Engineer -Staff

Qualcomm

Bengaluru

On-site

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

Full time

14 days+

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Job summary

Qualcomm India Private Limited in Bengaluru is seeking a Platform Development Engineering Lead with 10+ years of cloud, IaC, and SRE expertise to design, build, and operate large-scale cloud platforms. You will drive container environments, CI/CD automation, and secure cloud workloads while enabling developer productivity.

Collaborate with engineering, security, and operations teams to deliver scalable, resilient solutions across AWS/Azure/GCP, policy enforcement, and multi-region deployments,

Qualifications

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
  • Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
  • 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.

Responsibilities

  • Design, build, and maintain scalable cloud solutions across multi-cloud environments.
  • Lead DevOps initiatives with CI/CD pipelines and automation.
  • Ensure security, compliance, and governance in cloud workloads.
  • Provide technical guidance and mentorship to engineers.
  • Collaborate with Product, Development, Security, and Infrastructure teams.
  • Lead cloud modernization and automation initiatives.

Skills

Python
Java
C/C++
Go
Ruby
PowerShell
Cloud architecture

Education

Bachelor's degree in Engineering
Master's degree in Engineering
PhD in Engineering

Tools

Terraform
CloudFormation
CDK
Jenkins
GitHub Actions
Azure DevOps
Git
GitOps
Datadog
Grafana
ELK Stack
CloudWatch
Azure Monitor

Job description

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General 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.

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, or Google Cloud Platform | Multi-cloud architecture experience

Infrastructure as Code

Terraform | CloudFormation | CDK

Container & Orchestration

Working knowledge of continuous Integration and Deployment (CI/CD) pipeline automation tools (Jenkins, SonarQube, etc.) with working experience in source code (eg., GIT), build and dependency management systems (e.g., Maven, Gradle, etc.).

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.
  • Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
  • 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.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability‑accomodations@qualcomm.com or call Qualcomm's toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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