COMPLETE Performance Engineer-MTS/SMTS/LMTS

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Job Category

Software Engineering

 

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Tech Stack: (Java, Oracle, AWS, Big Data Pipelines- Kafka, Storm, ES, C*)

R&D Cloud: Sales Cloud

“The world is experiencing one of the most profound technological shifts with the rise of real-time technologies and generative AI. This comes at a pivotal moment as every company is focused on connecting with their customers in more intelligent, automated, and personalized ways,” said Marc Benioff, CEO of Salesforce. 

Sales Cloud is the world’s leading CRM application and Salesforce’s flagship product. At the intersection of Sales, AI, and Data, Sales Cloud is positioned to be at the forefront of innovation and build tremendous value for our customers - focused on developing intelligent and automated Sales Data apps and harnessing the future of data-driven selling. Every part of the sales process is transformed when data enriches experiences and delivers insights.

You will be a part of the high powered engineering team that is trusted with the performance and scalability of the world's most advanced and smartest enterprise cloud architecture. Sales Cloud operates at an enterprise scale of 100 Million+ sales activities and engagements per day and you will help us scale our AI, big data and distributed systems products to reach 10x scale of 1 Billion+ AI and Data transactions per day. The Salesforce Sales Cloud engineering is seeking engineers to lead our performance and scalability initiatives. This work is critical to ensure Salesforce can sustain the tremendous growth we will see in our transaction and data volumes. 

Are you an AI, big data and/or distributed systems expert, passionate about optimizing our AI and data technology to support our staggering growth and innovation? Join the teams that have delivered game changing technology to support the scale of Sales Cloud AI products and applications. You will need deep experience with AI, big-data and distributed systems internals, proficiency in solving real-world big data challenges in high scale systems. You will be responsible for designing, developing, and optimizing our critical data processing systems. You will also work on AWS and similar public cloud stacks to scale our Sales Cloud products and applications.

Required Skills & Experience

• 10+ years of development experience, with at least 5+ years of experience in optimizing large scale AI, big data and/or distributed systems. 

• Experience with BigData technologies like Kafka, Apache Spark, Apache Storm, Hbase, Cassandra, Elastic Search, MongoDB, etc

• Experience with designing and optimizing multi tenant architecture, load balancers, caching, distributed queues, high availability and reliable systems, etc

• A proven track record of optimization and design improvements of public cloud technologies AWS, GCP, etc for cost-optimization, performance and scalability.

• A mastery of a programming languages (e.g. Java, C++) and strong Object-Oriented programming skills with focus on optimizations, design patterns and best practices for performance and scalability. 

• Strong command on analyzing and fine tuning algorithms and data structures

• Strong knowledge of structured and unstructured database fundamentals, design, architecture, performance and scalability

• Outstanding attention to detail and strong communication skills

• Ability to drive cross-cloud/cross-program/cross-product teams on large complex  projects to ensure application and systems are performant, scalable, stable and reliable

• Experience leading and driving production escalations: monitoring, remediation, patch delivery, root-cause-analysis and ability to engage customers directly and heavily customer focussed

• Ability to mentor and coach Lead and Senior engineers to develop skills and knowledge and act as a multiplier

• Clear understanding of software engineering concepts, methodologies, tools, performance & capacity indicators, metrics and analysis.  

• Ability to set standards and best practices giving direction to the team and also influence externally

• BS, MS, or PhD in Computer Science or equivalent work experience

Desired Skills & Experience

• Master’s degree in computer science, engineering, or a related field

• 3+ years of experience in AI, big data, and distributed systems

• Experience with AWS, Azure, or GCP

• Experience building IaaS/SaaS applications

• Development experience with PL/SQL, SQL, optimizing queries and databases on Oracle or similar DB technologies 

• Experience with distributed systems concepts such as scalability, fault tolerance, and load balancing

• Knowledge of statistical analysis and experimental design techniques

• Experience with agile and test-driven-development techniques

• Comprehensive knowledge of operating systems, especially process and system monitoring capabilities

 

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