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Engineer, Senior Staff- Java/Cloud in...

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Engineer, Senior Staff- Java/Cloud

Qualcomm Bengaluru, Karnataka (Onsite) Full-Time

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

  • General Summary:

    - Qualcomm is hiring multiple software engineers at Senior and Staff level to help architect and build its next generation data processing platform to support Autonomous Driving R&D efforts. Our goal is to design and build a highly scalable, efficient, and modular data platform. This platform will be used by engineers to run re-simulation pipelines, machine learning workloads, perform in-depth data analysis/analytics, visualize results, and more. Excellent communication and planning skills are critical in this role as we'll be working with internal teams and external partners.

    - Responsibilities for this position include:

    - Work with team leads to understand use cases and requirements

    - Build proof-of-concepts to validate proposed designs and provide feedback

    - Implement containerized workloads, microservices, distributed messaging systems and highly scalable distributed processing services.

    - Drive software engineering best practices within immediate and external teams

    - Support users of the platform

    - Collaborate in global cross functional team

    Preferred Qualifications:

    Years of Exp -> 14+ yrs

    Must :

    - Industry experience in designing and implementing scalable solutions.

    - Strong in object oriented programming concepts, DSA and programming.

    - Familiarity using a programming language such as Python, Go, C/C++, Java.  -> clean coding in these languages, code analysis tools.

    - Strong in building CI/CD pipelines on cloud.

    - Strong in RDBMS, NoSQL DB technologies like Posgresql, mongodb etc

    - Experience in supporting applications post production like debugging, documentation, support.

    - Building tools for automating engineering processes, data processing like SPARK.

    - Taking ownership of an application as well as helping in allocating tasks to team members and unblock them from issues.

    - Quick Learner and able to demonstrate POCs.

    - Open to take new challenges and learn new tech-stacks and technologies.

    - Hands-on experience using managed services from one or more of the major cloud vendors: AWS, GCP, Azure

    - Experience with containerized platforms like docker and Kubernetes.

    - Experience in designing, developing, testing, and deploying applications in the cloud.

    - Experience with building orchestrations and workflow management tools such as Airflow, Prefect, Argo or Cloud native technologies like AWS Batch, Azure Data factory.

    - Understanding existing code, prepare documentation and working on bug fixes and enhancements.

    - Experience working with distributed processing architecture like spark etc.

    - Experience in Agile and SaFe way of working.

    - Experience in recruiting candidates
     

  • Additional Job Description

    Good to have :

    - Experience in Data Engineering and Data Warehousing.

    - Experience with building data pipelines on cloud.

    - Experience working with Spark, Hadoop, Hive, or other Apache Foundation frameworks.

    - Experience Autonomous Driving R&D applications would be added advantage.

    - Experience in working on migration projects such as code migration, data migration etc.

    - Experience working with spring boot framework

    - Experience working on code builds such as Bazel.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.

• 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Preferred Qualifications:

•    Master's Degree in Engineering, Information Systems, Computer Science or related field. 

•    12+ years of Software Engineering or related work experience. 

•    3+ years of experience with Database Management Software.   

•    3+ years of experience with API.

•    2+ years in a technical leadership role with or without direct reports.  

•    1+ year of work experience with Git, Perforce, or Source Code Management System.

Principal Duties and Responsibilities:

•    Leverages advanced Software knowledge and experience to design, develop, create, modify, and validate critical embedded and cloud edge software, applications, and/or specialized utility programs.

•    Analyzes user needs, software requirements, and time and cost constraints to design and customize sophisticated software for optimal operational efficiency.

•    Designs and implements software sub-systems for complex, large-scale products and systems.

•    Leads design, coding, and testing efforts to ensure that projects are completed to specifications and schedules.

•    Performs highly complex code reviews and regression tests as well as triages and fixes issues to ensure the quality of code. 

•    Collaborates with individuals outside the software function (e.g., Hardware, Systems, and Test engineers) to increase leverage and design solutions that work with other components of a specific project.

•    Writes detailed technical documentation for highly complex Software projects; reviews technical documentation for junior engineers.

Level of Responsibility:

•    Works independently with minimal supervision.    

•    Decision-making is critical in nature and highly impacts program, product, or project success.

•    Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc. 

•    Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).

•    Tasks often require multiple steps which can be performed in various orders; extensive planning, problem-solving, and prioritization must occur to complete the tasks effectively.

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 

 or call Qualcomm's toll-free number found . 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.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact

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Recommended Skills

  • Agile Methodology
  • Apache Hadoop
  • Apache Hive
  • Apache Spark
  • Architecture
  • Business Efficiency

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