Big Data DevOps Engineer Job Vacancy in PubMatic Pune, Maharashtra – Updated today
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Company Name : PubMatic
Location : Pune, Maharashtra
Position :
Job Description : Company Description
PubMatic delivers superior revenue to publishers by being an SSP of choice for agencies and advertisers. PubMatic’s cloud infrastructure platform for digital advertising empowers app developers and publishers to increase monetization while enabling media buyers to drive return on investment by reaching and engaging their target audiences in brand-safe, premium environments across ad formats and devices. Since 2006, PubMatic has been expanding its owned and operated global infrastructure and continues to cultivate programmatic innovation. With a globally distributed workforce and no corporate headquarters, PubMatic operates 16 offices and eight data centers across North America, Europe, and Asia Pacific.
Job Description
Responsibilities:
Manage large-scale Hadoop cluster environments including capacity planning, cluster setup, performance tuning, monitoring and Alerting.
Perform proof of concepts on scaling, reliability, performance, and manageability.
Work with core production support personnel in IT and Engineering to automate deployment and operation of the infrastructure. Manage, deploy, and configure infrastructure with Ansible or other automation toolsets.
Monitoring Hadoop jobs and recommend optimization
Job Monitoring
Rerun jobs
Job Tuning
Spark Optimizations
Data Monitoring and Pruning
Creation of metrics and measures of utilization and performance.
Capacity planning and implementation of new/upgraded hardware and software releases as well as for storage infrastructure.
Ability to work well with a global team of highly motivated and skilled personnel.
Research and recommend innovative, and where possible, automated approaches for system administration tasks.
Integrating ML libraries
Hardware accelerations
SQream / Kinetica / Wallaroo monitoring and maintenance)
Should be able to develop and apply patches
Debugging Infrastructure issues (Like – Underlying network issue or Issues with the nodes)
Addition/replacement of Kafka cluster/consumer (Not sure if this is covered in Hardware acceleration)
Testing/Support of infrastructure component change (like changing the load balancer to F5).
Deployment during the release.
Help QA team with production parallel testing and performance testing.
Help out Dev team with POC/Adhoc execution of some of the jobs for debugging/cost analysis
Qualifications
3 to 5 years of professional experience in Java, Scala and Python.
2+ years of experience of Spark/MapReduce in a production environment
A deep understanding of Hadoop design principles, cluster connectivity, security and the factors that affect distributed system performance.
Experience on Kafka, Hbase, and Hortonworks is mandatory.
Prior experience with remote monitoring and event handling using Nagios, ELK.
#LI-MD1
Additional Information
Coronavirus notice: PubMatic is actively working to ensure candidate and employee safety. Currently, all hiring and onboarding processes at PubMatic will be carried out remotely through virtual meetings until further notice.
Benefits: Our benefits package includes the best of what leading organizations provide, such as stock options, paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!
Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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