Staff Software Engineer - Backend AWS

Hybrid
Senior
Bangalore, 🇮🇳 India
Software Developer
Software development

At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.

This role will be part of a team that develops software that processes data captured every day from over a quarter of a million Computer and Mobile devices worldwide. Measuring panelists activities as they surf the Internet via Browsers, or utilizing Mobile App’s download from Apples and Googles store. The Nielsen software meter used to capture this usage data has been optimized to be unobtrusive yet gather many biometric data points that the backend system can use to identify who is using the device, and also detect fraudulent behavior.

The Staff Software Engineer is ultimately responsible for delivering technical solutions: starting from the project's onboard until post launch support and including design, development, testing. It is expected to coordinate, support and work with multiple delocalized project teams in multiple regions. As the Staff Software Engineer in our Digital Meter Processing team, you will lead the development efforts for the backend system that processes massive amounts of data every day across 3 different AWS regions. Your role will involve designing, implementing, and maintaining robust, scalable solutions that leverage a Java based system that runs in an AWS environment. You will play a key role in shaping the technical direction of our projects and mentoring other team members.

Responsibilities

  • System Deployment:
  • Conceive, design and build new features in the existing backend processing pipelines.
  • CI/CD Implementation:
  • Design and implement CI/CD pipelines for automated build, test, and deployment processes.
  • Ensure continuous integration and delivery of features, improvements, and bug fixes.
  • Code Quality and Best Practices:
  • Enforce coding standards, best practices, and design principles.
  • Conduct code reviews and provide constructive feedback to maintain high code quality.
  • Performance Optimization:
  • Identify and address performance bottlenecks in both reading, processing and writing data to the backend data stores.
  • Mentorship and Collaboration:
  • Mentor junior engineers, providing guidance on technical aspects and best practices.
  • Collaborate with cross-functional teams to ensure a cohesive and unified approach to software development.
  • Security and Compliance:
  • Implement security best practices for all tiers of the system.
  • Ensure compliance with industry standards and regulations related to AWS platform security.

Key Skills

  • Bachelor's or master’s degree in computer science, Software Engineering, or a related field.
  • Proven experience, minimum 8 years, in high-volume data processing development expertise using Java, SQL and database such as Postgres, with 5+ years on an AWS platform
  • Strong understanding of CI/CD principles and tools. GitLab a plus
  • Excellent problem-solving and debugging skills.
  • Leadership experience, minimum 2 years, in guiding technical decisions and mentoring team members.
  • Strong communication and collaboration skills with ability to communicate complex technical concepts and align organization on decisions
  • Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply
  • Utilizes team collaboration to create innovative solutions efficiently

Other desirable skills

  • Knowledge of networking principles and security best practices.
  • AWS certifications
  • Experience with Data Warehouses, ETL, and/or Data Lakes very desirable
  • Experience with RedShift, Airflow, Python Lambda, Prometheus, Grafana, & OpsGeni a bonus
  • Exposure to the Google Cloud Platform (GCP)

 

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