Job | Engineering Manager (Big Data) - Bangalore

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Experience required for the Job: 8 - 15 years
Annual Salary of the Job:  Negotiable
Job Location: Bengaluru/Bangalore


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Dear Job Seeker,

Hi ,
I am Shobhana from Naukri e-Hire Shortlisting service division of Naukri.com (India’s No 1 Job site) that provides shortlisting service to client organizations.
We have been retained by one of our client “AppDynamics” to conduct shortlisting service for their Engineering Manager position;
Details are as follows: -
Job Location : Bangalore
Company Name : AppDynamics
Position Name : Engineering Manager (Big Data)
Company Profile:
AppDynamics is the Application Intelligence company. With AppDynamics, enterprises have
real-time insights into application performance, user performance and business performance so
they can move faster in an increasingly sophisticated, software-driven world. With cloud and
on-premise deployments, AppDynamics works and partners with many of the world's most
innovative companies. With over 2,000 high profile and global customers, and year over year
growth above 150%, we are disrupting the multi-billion-dollar Application Intelligence market.
AppDynamics has 115+ Fortune 500 customers.
AppDynamics is headquartered in San Francisco and is expanding globally. Gartner has
recognized AppDynamics as a leader in Magic Quadrant for Application Performance
Management consistently for last few years.
AppDynamics R&D Center in Bangalore is founded in 2015 and is focusing on leading core
product and engineering areas fairly independently and works closely with San Francisco and
other teams. Over last 3 years, we have grown to ~200 people and Bangalore R&D Center has
evolved as a center of excellence for core product & engineering innovation in AppDynamics.
We have been able to build a super strong team, that is working on very interesting and
challenging problems. We have a amazing and happy work culture at Bangalore, where entire
center works as one single team and truly cares for each other
Essential skills:
You are the kind of engineering leader who is passionate about distributed platforms and
services that scale to handle massive data volumes of requests and growing the team that
builds them. You have a passion to solve complex data problems at scale and enable building
various products on data infrastructure. You also have the following:
● Strong product development experience in building massively large scale
distributed systems.
● Strong understanding of Big Data eco-system and technology stack like
Hadoop/Storm/Kafka/HBase/Redis/ElasticSearch etc.
● Excellent computer fundamentals and problem solving skills
● Strategic influencing skills including the ability to promote continuous improvements in
Development practices at all levels and across all areas of the team
● Strong leadership skills that inspires team confidence and respect while motivating team
members in a creative and effective manner
● Superior organization, communication, interpersonal and leadership skills
● Must be a proven performer and team player that enjoy challenging assignments in a
high-energy, fast growing and start-up workplace
● Willingness and demonstrated ability to be ‘hands on’ and close to the technology
● Ability to quickly adapt in a dynamic environment
Desired Candidate Profile
● Experience shipping multi-tenant platforms for both SaaS and on-premise deployments
● Deep experience with infrastructure and systems engineering, and scaling services on cloud computing platforms like AWS
● Understanding of various relevant Internet open source frameworks and
 â— Experience in application performance management and log analytics space
CTC- As per company norms
If above criteria suits you and you are interested for above position, just send in your updated CVs in MS WORD FORMAT ASAP or refer this mail to your colleagues who might be interested in the position.
Thanks & Regards,
Shobhana Tiwari
shobhana@naukri.com



You are receiving this e-mail because your profile contained one or more of the following words that the recruiter searched on: " "kafka" ", " "hadoop" ", " "HBase" ", " "Redis" ", " "elasticsearch" "

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