Performance Engineer Job Vacancy in Salesforce New Delhi, Delhi – Updated today
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Company Name : Salesforce
Location : New Delhi, Delhi
Position :
Job Description : To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Products and Technology
Job Details
Job Details
We are seeking a Software Engineer, Performance Engineer to join our R&D, Tech & Products team. As the 4th largest software company in the world, and the leader in the cloud, we are challenged with designing and developing the next generation technologies in cloud computing. Our mission as the “customer company”, is to ensure trust with our customers, from Fortune 100 companies, to start-ups and nonprofit organizations. Processing more than 5+ billion transactions per day and growing, performance remains a center focus for innovation.
Trust.salesforce.com is the Salesforce community’s home for real-time information on system performance and security. View our daily transaction volume here: https://status.salesforce.com/performance
Your impact:
Be a part of the first-rate team that influences the future expansion of next-generation cloud solutions for speed, scale, and high availability. You will have the opportunity to design performance experiments, collect and analyze data. Develop power tools and automation frameworks for continuous integration, performance measurement and analysis. Contribute to the design and velocity of our global products. Optimize our systems end-to-end by advising infrastructure design, server and application development/ tuning, solving complex cluster architecture and data storage challenges that impact features within artificial intelligence, IoT, Platform, API’s and mobile UI experiences.
If you’re fired up about software performance, automating everything, and working with great engineers, this is the job for you! If you are a developer that is passionate about performance, or a performance tester that is also interested in contributing performance improvements, we would love to hear from you.
This candidate must have the technical prowess to write fast and efficient code, find inefficiencies and influence others to make performance improvements. In addition, this engineer needs to measure and demonstrate performance gains in a scientific way, by building/running workloads or simulations. The candidate should be confident in discussing time/space complexity using O(n) notation and engage in a project’s design phase for its performance and scalability considerations. You are the performance expert for your scrum team, and should own your team’s performance related problems on production.
Required Skills:
6+ years of software development experience (Java preferred)
3+ years in performance engineering
Strong programming skills in Java and profilers
Hands-on experience with performance measurement, analysis, and optimization
Experience conducting benchmark and/or work-load testing using automation tools and frameworks for performance measurement and analysis (Jmeter)
Experience performing simulation or lab experimentation to analyze application/ system performance
Distributed systems debugging
Ability to work cross-functionally to articulate, measure and solve performance issues
Passion for continuous improvement in building knowledge base technically and professionally
Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering, or a related technical discipline.
Preferred Skills:
SaaS experience at scale
Knowledge of database fundamentals: SQL, schema, internals (Oracle preferred, TKProf, AWR, ASH)
JVM and garbage collector tuning, heap dump analysis experience
Experience with the following performance tools: JMeter, YourKit
Experience in using UI profilers and deep understanding of chrome developer tools
Understanding of how a browser works (i.e. chromedevtools, ui automator)
Hands on Experience in javascript, React and NodeJS
Agile/ Scrum methodology experience
Experience with big data technologies such as Hbase, HDFS, Hadoop, Pig, Hive and/or Kafka
Experience working in an Apache/ Spark architecture
Knowledge of back-end systems and API’s, developer tools and compilers
Knowledge of statistical analysis and experimental design techniques
Working knowledge of Linux operating system
Experience analyzing and interpreting large volume of production data using Splunk to understand throughput, latency, memory and CPU utilization
Experience with search platforms such Lucene, Solr or ElasticSearch
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