Site Reliability Engineer Level 3
at Acceldata
6 - 10 yrs
Best in industry
Bengaluru (Bangalore)
Skills
SRE
Reliability engineering
Site reliability
Hadoop
HDFS
Apache HBase
Senior SRE - Acceldata (IC3 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
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.
- 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
- 8-12 years of Experience with a highly-scalable, distributed, multi-node environment (50+ 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., collection and evaluation of jstacks, heap dumps
You might also have…
- Linux, NFS, Windows, including application installation, scripting, basic command line
- Docker and Kubernetes configuration and troubleshooting, including Helm charts, storage options, logging, and basic kubectl CLI
- Experience working with scripting languages (Bash, PowerShell, Python)
- Working knowledge of application, server, and network security management concepts
- Familiarity with virtual machine technologies
- Knowledge of databases like MySQL and PostgreSQL,
- Certification on any of the leading Cloud providers (AWS, Azure, GCP ) and/or Kubernetes is a big plus
The right person in this role has an opportunity to make a huge impact at Acceldata and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you to apply! An adventure in data awaits.
Learn more at https://www.acceldata.io/about-us">https://www.acceldata.io/about-us
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About Acceldata
Founded :
2018
Type :
Product
Size :
100-500
Stage :
Raised funding
About
Acceldata is the company that built the leading Multidimensional Data Observability Cloud. This cloud was designed to help data-driven organizations achieve agility in innovation, operational excellence, and enhanced returns on data investment. Embedded analytics and artificial intelligence technologies are becoming more reliant on contemporary organizations to fuel their business operations and choices.
The data observability technologies offered by Acceldata improve the performance of embedded artificial intelligence and analytics workloads by providing purpose-built monitoring and analytics. The first Data Observability Cloud is presently being developed by Acceldata for cloud data warehouses and hybrid data lakes. Acceldata makes it easy for businesses to expand their pipelines to meet the requirements of modern business, regardless of whether they are operating in a platform or cloud environment. Data Observability Cloud by Acceldata provides on-demand operational information to support analytics data workloads and embedded artificial intelligence.
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