AWS India

Technology

Sr.CloudSupportEngineer-BigData,SupportEngineering

₹23–35L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Cloud Support Engineer- Big Data, Support Engineering at AWS India. Skills: Apache HBase, Apache Hadoop, Distributed systems, Cloud support. Troubleshoot and resolve complex Apache HBase operational issues. Troubleshoot and resolve complex technical problems”

What You'll Achieve.

Elevate frontline engineers; Influence service roadmaps

Industry & Context.

Technology
Problems you'll solve

Troubleshoot; Resolve complex issues; Debugging; Problem resolution; Root cause analysis; Performance improvement; Troubleshooting of Apache HBase issues

What They're Looking For.

Must Have

10+ years of relevant experience, Experience troubleshooting and debugging technical systems, Experience in Hive/Spark/Hbase/Yarn, Experience in networking administration and troubleshooting, Experience presenting creative concepts effectively, Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent, In depth understanding and working experience of Apache Hadoop, In depth understanding and working experience of Distributed system, In depth understanding and working experience of Apache HBase, In depth understanding and working experience of NoSQL systems, Experience in Apache HBase upgrades and data migration, Deep knowledge of Apache Hadoop concepts, components and framework, Deep knowledge of Yarn, HDFS, High-Availability, backup and restore, security, monitoring and observability, name node, journal nodes, scaling of cluster, Hive, Spark, Deep knowledge of Apache HBase architecture, components and concepts, Deep knowledge of HMaster, Zookeeper, High-Availability, region server, regions, compaction, HFiles, Backup and restore, cluster optimisation, performance improvement, troubleshooting of Apache HBase issues, WAL, memstore, scaling of cluster, monitoring and observability concept and security

Nice to Have

Knowledge of networking protocols such as HTTP, DNS and TCP/IP, Experience with analytical skills, Experience with attention to detail, Experience with effective communication abilities, Experience with customer service, Prior working experience with AWS, Prior working experience with EMR, EC2, S3, EBS, DynamoDB, Keyspaces, Prior working experience with MapReduce and Hadoop, Expertise in OLTP and OLAP systems design and performance optimization, Experienced with Linux system monitoring and analysis, Experience in analyzing complex distributed production deployments, Experience making recommendations to optimize performance, Able to read and understand Java/Python code, Experience with query analyzers and query tuning / slow query optimization

What You'll Do.

Troubleshoot and resolve complex Apache HBase operational issues

Troubleshoot and resolve complex technical problems

Review customer architecture

Provide guidance on architecture

Develop Apache HBase training

Deliver Apache HBase training

Partner with development teams on complex issues

Develop tools to help the team

Develop scripts to help the team

Work with leadership on process improvement

Work with leadership on strategic initiatives

Participate in recruiting

Focus on proactive customer engagements

Handle escalation events

Handle issues affecting multiple customers

Create Centers of Excellence documentation

Create supportability frameworks

Elevate frontline engineers

Conduct monthly syncs with Senior Managers/Site Leads

Serve as Service Excellence Owner for Tier 1

Conduct monthly syncs with service teams

Submit Product Feature Requests (PFRs)

Influence service roadmaps

Create public-facing content

Contribute to Technical Field Communities (TFCs)

Represent AWS at major AWS conferences

Represent AWS at regional summits

How You'll Work.

Team & Collaboration

Partner with development teams; Work with leadership; Cross-functional collaboration; Work across domains; Work with internal stakeholders; Syncs with Senior Managers/Site Leads; Syncs with service teams

Communication Scope

Present creative concepts; Oral communication; Written communication; Public speaking

Process & Methodology

Roadmap planning

Full Job Description

Amazon has built a reputation for excellence. Amazon’s cloud product line Amazon Web Services (#AWS), is carrying on that tradition while leading the world in Cloud technologies globally. In India, AWS is looking for an experienced and qualified personnel to join its Support Engineering team focusing on Amazon’s AWS – referred as AWS Support. AWS Support provides global technical support to a wide range of customers using AWS Cloud as they build mission-critical applications on top of AWS services. As a member of the AWS Support Engineering team, employed with and working for AWS India, you will be at the forefront of this transformational technology assisting a global list of companies that are taking advantage of a growing set of services and features to run their mission-critical applications. You will work with leading companies in this space and directly with the engineering teams within AWS developing these new capabilities. Key job responsibilities Every day will bring new and exciting challenges on the job while you: • Able to troubleshoot and resolve complex Apache HBase operational issues and technical problems. • Able to review customer’s architecture and provide guidance. • Develop and deliver Apache HBase training. • Partner with development teams on complex issues. • Develop tools/script to help the team. • Work with leadership on process improvement or strategic initiatives. • Participate in recruiting. • Ability to successfully influence stakeholders with individually developed concepts. A day in the life • Strategic Customer Engagement: Rather than handling daily ticket queues, Sr Cloud Support Engineers focus on proactive customer engagements. You're working directly with enterprise customers on strategic technical discussions. • Complex Problem Resolution & Knowledge Creation: About 20% of time is dedicated to critical customers, handling escalation events and issues affecting multiple customers. You're not just solving problems—you're creating Ce

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