Software Engineering PMTS

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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.

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. 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.

Salesforce seeks technically strong, energetic, highly collaborative, and passionate Principal Engineers to join our engineering teams! You will work with outstanding developers to build the next generation of high-scale, large-data, and AI-driven products and features. You will work with world-class engineers to build the breakthrough features our customers will love, adopt, and use while keeping our trusted CRM platform stable and scalable. The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. We believe that autonomous teams with the freedom to make decisions will empower individuals, products, companies, and customers to thrive.

Responsibilities:

• Work with engineers on the design, deployment, and continuous performance and scalability improvement.
• 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.
• Resolve complex technical issues and drive innovations that improve system availability, resilience, and performance.

Attributes of an ideal candidate:

• Have good analytical skills and learning agility.
• Passion for distributed systems and cloud technology.
• Have the capacity to drill through software and sometimes hardware layers.
• Provide critical thinking and technical innovation.
• Write clean code with attention to reliability, performance, and security.
• Build dialogue and establish trust between teams operating services upstream and downstream.
• Establish customer connections and build insights into their business to feed into design.
• Partner with leadership and architects to define and scope engineering plans
• Operate the service as an owner through telemetry, monitoring, and analytics.
• Release high-quality features on time, meeting functional, performance, scalability, and compliance requirements.

Required qualifications:

• 8+ years of software engineering experience
• Experience working with public cloud computing architecture (ex. AWS, GCP, etc.)
• Experience with AI Modeling, ML Algorithms, and Data Pipelines
• Strong programming skills in Java, Javascript, C++, or other object-oriented languages are a plus.
• Ability to work cross-functionally to articulate, measure, and solve performance issues
• Hands-on experience with performance measurement, evaluation, and optimization
• Experience with CI/CD and microservice platforms
• Experience with monitoring, alerts, logging, and troubleshooting technical problems
• Experience with distributed caching and load-balancing systems

Preferred qualifications:

• Deep understanding of cloud provider technology stack and implementation insights
• 7+ years of experience operating IaaS and PaaS services on Microsoft Azure or AWS
• Apex / Mulesoft / Java / Python / Javascript
• Knowledge of database/data lake performance fundamentals: SQL, schema, internals
• 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 APIs, developer tools, and compilers
• Knowledge in