Engineer 4 - Site Reliability Engineering

Comcast

Chennai District

Hybrid

INR 13,397,000 - 18,182,000

Full time

5 days ago
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Qualifications

  • Bachelor's degree or higher in Computer Science, Software Engineering, or a related field.
  • 8+ years of experience as an SRE, DevOps, or Data Operations Engineer.
  • Experience with cloud platforms (e.g.AWS, GCP, Azure).
  • Familiarity with modern data architectures and technologies, including big data platforms (e.g., Kafka, Hadoop, Spark), distributed storage (e.g., Cassandra, HDFS, AWS S3), etc.
  • Extensive experience in data base management (e.g.,NoSQL databases, MySQL, PostgreSQL).
  • Proficiency in automation tools and frameworks (e.g., Ansible, Terraform , Kubernetes , Docker) for automating data system deployment and maintenance.
  • Familiarity with modern CICD pipeline.
  • Programming Skills: Proficient in at l

Responsibilities

  • System Monitoring and Optimization: Design and implement monitoring and alerting systems to ensure the stability, reliability, and performance of data platforms.
  • Automation and Tool Development: Develop and maintain automation tools and scripts for deployment, monitoring, backup, recovery, and disaster recovery of data systems.
  • Performance Optimization: Analyze and optimize the performance of data storage, query performance, and data flows to ensure efficient processing of large-scale datasets, reduce latency, improve processing speed.
  • Incident Response and Troubleshooting: Respond quickly to data platform failures, perform troubleshooting, and coordinate cross-team efforts to resolve issues and ensure high availability and reliability of data.
  • Capacity Planning and Scaling: Work with data engineering teams to analyze and forecast capacity requirements, ensuring the system can handle data growth and scale infrastructure accordingly.
  • Documentation and Knowledge Sharing: Document the architecture, configurations, and operational procedures for data platforms, ensuring knowledge is shared across the team and providing relevant training.
  • Security and Compliance: Ensure data platforms meet security standards and compliance requirements to prevent data breaches or misuse.
  • Cross-Team Collaboration: Collaborate with data science, product, and development teams to support data product design and implementation, solving reliability-related issues.

Skills

SRE experience
DevOps practices
Data operations
Cloud experience
Automation

Education

Bachelor's degree in Computer Science, Software Engineering, or a related field

Tools

Terraform
Kubernetes
Docker
Ansible
Kafka
Hadoop
Spark
Cassandra
HDFS
MySQL
PostgreSQL

Job description

Comcast brings together the best in media and technology. We drive innovation to create the world’s best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting‑edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast‑forward your career at Comcast.

Job Summary

This job is responsible for the availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning for platforms. It will engage in designing, analyzing and troubleshooting large‑scale distributed systems, debugging and optimizing code and automating routine tasks. It will be part of a team consisting of a mix between software and technology infrastructure backgrounds. It will provide subject matter expertise, resolve complex break/fix scenarios and engage broader teams as necessary. It will partner with engineering, vendors and client services to deliver successful technical solutions. Works with limited supervision and direction while executing associated functions and responsibilities. Follows operational practices and independently determines/develops approaches for non‑routine solutions. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise.

Job Description

Freewheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.

Position Overview

FreeWheel is seeking an experienced Data SRE to join Freewheel Data SRE team based in Reston/Chicago. As a member of the Global Operation team, you will be responsible for ensuring the reliability, scalability, and performance of our data systems. Working closely with data engineers and other operation sub‑teams, you will manage our data infrastructure, optimize system reliability, automate daily operations, and resolve technical issues that impact our data pipelines and backend data platforms.

Key Responsibilities
  • System Monitoring and Optimization: Design and implement monitoring and alerting systems to ensure the stability, reliability, and performance of data platforms. Quickly respond to and resolve issues impacting data pipelines or storage layers.
  • Automation and Tool Development: Develop and maintain automation tools and scripts for deployment, monitoring, backup, recovery, and disaster recovery of data systems.
  • Performance Optimization: Analyze and optimize the performance of data storage, query performance, and data flows to ensure efficient processing of large-scale datasets, reduce latency, animprove processing speed.
  • Incident Response and Troubleshooting: Respond quickly to data platform failures, perform troubleshooting, and coordinate cross-team efforts to resolve issues and ensure high availability and reliability of data.
  • Capacity Planning and Scaling: Work with data engineering teams to analyze and forecast capacity requirements, ensuring the system can handle data growth and scale infrastructure accordingly.
  • Documentation and Knowledge Sharing: Document the architecture, configurations, and operational procedures for data platforms, ensuring knowledge is shared across the team and providing relevant training.
  • Security and Compliance: Ensure data platforms meet security standards and compliance requirements to prevent data breaches or misuse.
  • Cross-Team Collaboration: Collaborate with data science, product, and development teams to support data product design and implementation, solving reliability-related issues.
Qualifications
  • Education: Bachelor's degree or higher in Computer Science, Software Engineering, or a related field.
  • Experience: At least 8+ years of experience as an SRE,DevOps, or Data Operations Engineer.
  • Experience with cloud platforms (e.g.AWS,GCP,Azure)
  • Familiarity with modern data architectures and technologies, including big data platforms (e.g., Kafka, Hadoop, Spark), distributed storage (e.g., Cassandra, HDFS, AWS S3), etc.
  • Extensive experience in data base management (e.g.,NoSQL databases, MySQL, PostgreSQL).
  • Proficiency in automation tools and frameworks (e.g., Ansible, Terraform , Kubernetes , Docker) for automating data system deployment and maintenance.
  • Familiarity with modern CICD pipeline.
  • Programming Skills: Proficient in at l
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