Software Engineering - Quality Engineering

Overview

Join Salesforce's Tableau Core Quality (Q3) Engineering team as an MTS, building high-quality analytics products that are mission-critical for customers and partners.

What you'll do

• Deep dive into customer issues and investigations to identify root cause and help solve the problem.
• Analyze and build prevention plans to reduce customer issues.
• Interface with customers to understand real-life usage and build test cases.
• Build tools, frameworks and infrastructure to improve product quality.
• Implement testing standards and guidelines for data pipeline, ELT dataflows and data visualizations.
• Lead initiatives to boost tooling, automation and integration speed, focusing on developer productivity, release velocity and product quality.
• Execute testing with complex org setup and varied data shapes.
• Monitor product and/or feature-level quality health metrics (testability, test health, test coverage, etc.).
• Be responsive to bugs and prioritized customer investigations.
• Work closely with cross-functional teams across geographies.

What you'll need

• BS or MS in Computer Science or a related technical discipline, or equivalent practical experience.
• Excellent interpersonal and communication skills.
• Self-starter who can work independently, learn quickly, meet deadlines and demonstrate problem-solving skills.
• Deep knowledge of object-oriented programming and other scripting languages: Java, Python, C#.
• Deep understanding of software development best practices.
• 3+ years of experience testing analytical applications, data visualizations, data pipelines and machine-learning models.
• Experience with cloud technology including AWS, Azure and/or GCP.
• Familiarity with database services in the cloud.
• Proficient in writing functional and end-to-end test automation (UI/API), e.g. Selenium.
• Experience working with large datasets, including data modeling, logical schema design, ETL/ELT, and developing data pipelines for structured, semi-structured and unstructured data.
• Languages/frameworks: Java, Python, JavaScript.
• Technologies/tools: Selenium, Git, TeamCity, Linux, etc.
• Experience with data query languages (e.g. SQL, Pig, etc.) and understanding of relational and columnar databases.
• Ability to manage assigned projects, meet deadlines and adapt to changing priorities.

Nice to have

• Experience working with large datasets, including data modeling, logical schema design, ETL/ELT, and developing data pipelines for structured, semi-structured and unstructured data.
• Experience with cloud technology including GCP, AWS and/or Azure.
• Familiarity with machine learning and AI-assisted tooling (Cursor, MCP, CoPilot).
• Development experience.
• Experience in product development companies.

Details

• Location: Bangalore, India.