Hadoop Committer

Bengaluru, Karnataka

Work Type: Full Time

**Principle SRE - Acceldata || (IC5 Level)**:
**About the Job**:
You will join a team of highly skilled engineers who are responsible for delivering
**Acceldata’s** support services. Our Site Reliability Engineers are trained to be active listeners and demonstrate empathy when customers encounter product issues. In our fun and collaborative environment Site Reliability Engineers develop strong business, interpersonal and technical skills to deliver high-quality service to our valued customers.

When you arrive for your first day, we’ll want you to have:

- Solid skills in troubleshooting to repair failed products or processes on a machine or a system using a logical, systematic search for the source of a problem in order to solve it, and make the product or process operational again
- A strong ability to understand the feelings of our customers as we empathize with them on the issue at hand
- A strong desire to increase your product and technology skillset; increase
- your confidence supporting our products so you can help our customers succeed
- Must be a **Subject Matter Expert in one or more Hadoop - Big data components.**:

- Must have** code level expertise (Contributor / Committer) skills in one or more Hadoop - Big data components.**
- In this position you will
- Provide Support Services to our **Gold & Enterprise customers** using our flagship Acceldata Pulse,Flow & Torch Product suits. This may include assistance provided during the engineering and operations of distributed systems as well as responses for mission-critical systems and production customers.
- Lead end-to-end delivery and customer success of next-generation features related to scalability, reliability, robustness, usability, security, and performance of the product
- Lead and mentor others about concurrency, parallelization to deliver scalability, performance and resource optimization in a multithreaded and distributed environment
- Demonstrate the ability to actively listen to customers and show empathy to the customer’s business impact when they experience issues with our products
- Participate in the queue management and coordination process by owning customer escalations, managing the unassigned queue.
- Be involved with and work on other support related activities - Performing POC & assisting Onboarding deployments of Acceldata & Hadoop distribution products.
- Triage, diagnose and escalate customer inquiries when applicable during their engineering and operations efforts.
- Collaborate and share solutions with both customers and the Internal team.
- Investigate product related issues both for particular customers and for common trends that may arise
- Study and understand critical system components and large cluster operations
- Differentiate between issues that arise in operations, user code, or product
- Coordinate enhancement and feature requests with product management and Acceldata engineering team.
- Flexible in working in Shifts.
- Participate in a Rotational weekend on-call roster for critical support needs.
- Participate as a designated or dedicated engineer for specific customers. Aspects of this engagement translates to building long term successful relationships with customers, leading weekly status calls, and occasional visits to customer sites
- In this position, you should have
- A strong desire and aptitude to become a well-rounded support professional. Acceldata Support considers the service we deliver as our core product.
- A positive attitude towards feedback and continual improvement
- A willingness to give direct feedback to and partner with management to improve team operations
- A tenacity to bring calm and order to the often stressful situations of customer cases
- A mental capability to multi-task across many customer situations simultaneously
- Bachelor degree in Computer Science or Engineering or equivalent experience. Master’s degree is a plus
- At least 2+ years of experience with at least one of the following cloud platforms: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), experience with managing and supporting a cloud infrastructure on any of the 3 platforms. Also knowledge on Kubernetes, Docker is a must.
- Strong troubleshooting skills (in example, TCP/IP, DNS, File system, Load balancing, database, Java)
- Excellent communication skills in English (written and verbal)
- Prior enterprise support experience in a technical environment strongly preferred

**Strong Hands-on Experience Working With Or Supporting The Following**
- 15+ years of Experience with a highly-scalable, distributed, multi-node environment (100+ nodes)
- Hadoop operation including Zookeeper, HDFS, YARN, Hive, and related components like the Hive metastore, Cloudera Manager/Ambari, etc
- Authentication and security configuration and tuning (KNOX, LDAP, Kerberos, SSL/TLS, second priority: SSO/OAuth/OIDC, Ranger/Sentry)
- Java troubleshooting, e.g., coll