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.

Data Cloud is our new real-time platform for customer magic. Data Cloud is a multimodal analytics SaaS solution that seamlessly acquires transactional and behavioral interactions, wrangles and curates data sets appropriately into graph, tabular, time series and relational models to facilitate optimized query lookups , analytical processing and machine learning at scale in order to empower Sales , Service , Marketing, Web & Mobile Engagement apps with compelling customer experience & engagement.

Data Cloud enables companies to unify customer data, manage identity and consent, segment and activate audiences, and optimize engagement with powered insights. In addition, companies can now build a single view of their customers to deliver personalized engagement across marketing, commerce, sales, and service. You'll be a part of the platform team that is working on building large scale distributed services across all core areas of the platform covering data ingestion, big data management, big data storage, big data processing, analytics/insights, profile graphs, segmentation, and activations. All the teams are dev/ops focused and own the end to end pipelines from development through production and support.

We are seeking an experienced software engineer to join a world class team of highly motivated software engineers and infrastructure experts. As an engineer, you have technical knowledge and hands-on experience in large scale distributed system architecture, development and deployment, public cloud infrastructure, cloud scale storage technologies and their performance and cost characteristics.

More specifically, you will be joining a world class performance, scalability, and reliability team responsible for ensuring that the Data Cloud system can scale to meet the demands of our customers. This team provides technical analysis of the performance characteristics of the entire system and assists other teams in finding solutions if performance problems are encountered.

The ideal candidate learns quickly, works autonomously and efficiently in fast-paced, ambiguous environments, is team driven and solves complex problems enduringly.

Responsibilities:

• Work with engineers on the design, deployment and continuous improvement of performance, scalability, and reliability tests
• Architect, design, develop, and maintain key software automation components
• Continuously raise our standard of engineering excellence by implementing best practices for coding, testing, and deployment
• Provide technical and architectural leadership in a global and diverse organization
• Automate, optimize and drive efficiency of effort, code and process.
• Resolve complex technical issues and drive innovations that improve system availability, resilience and performance.
• Create, maintain and share technical documentation used by engineers and other team members.

• Bachelor's Degree in CS or any engineering discipline / equivalent experience
• 6+ years design and implementation experience of large infrastructure projects with multiple teams
• 6+ years experience with following languages and scripting platforms (Java, Python, Javascript, etc.)
• 6+ years experience working with public cloud computing architecture (ex. AWS, GCP, etc.)
• Strong programming skills in either Java, Javascript, C++ or other object-oriented languages
• Ability to work cross-functionally to articulate, measure, and solve performance issues
• Hands-on experience with performance measurement, evaluation, and optimization
• Passion for continuous improvement and learning new technologies
• Experience with CI/CD and micro service platforms
• Experience with monitoring, alerts, and logging and troubleshooting technical problems
• Ability to communicate as an expert clearly and effectively that results in impact to other development teams
• Flexibility to adjust to changing/multiple priorities and technologies

• Java / Spring Framework / Python / Javascript
• Knowledge of database/datalake performance fundamentals: SQL, schema, internals
• Experience working with Apache Spark and/or Presto (Trino)
• Experience in industry-standard performance tools (ex. k6, JMeter, Gatling)
• Experience evaluating and interpreting large volumes of production data using Splunk (or other equivalent tools) to evaluate throughput, latency, memory and CPU utilization
• Understanding of back-end systems and API’s, developer tools and compilers
• Knowledge in automated deployment and configuration updates using Docker, Spinnaker, Jenkins, Kubernetes