Salesforce Software Engineering AMTS freshers and experience candidates apply Full Time NEW

Responsibilities:

• As a relatively new employee, you are still learning about the processes and tools to do your job. You require mentoring from your senior Q3 peers, but you are an eager and active leaner.
• Basic understanding of software development process, quality issues related to it, and the use and value of testing in ensuring quality. Basic understanding of quality tools and processes.
• Basic understanding of Scrum Methodologies
• Influences SFDC quality tools and processes by providing feedback and suggestions for improvements.
• Basic understanding of an object oriented language as appropriate for their team. Basic understanding of database concepts with the ability to write basic SQL queries. Ability to use configuration management tools, IDEs etc to build and run localhost as appropriate for their team.
• Creates new automation with mentoring. May fix bugs in current automation. Adept at using annotation tools and follows best practices. Contributes to increasing automated test coverage.
• May own features with guidance.
• Understands common customer workflows in the feature area and how often a customer may run into a test. Uses this information to design and prioritize tests. Avoids redundant tests and equivalence class issues. Knows how to use ad-hoc testing as a supplement to test case creation. Attends usability studies in their feature area to keep customer perspective fresh. Uses information gathered from usability studies to improve test case coverage. Has test plans reviewed by senior Q3 peers before sending them to the team for review.
• Demonstrates ability to execute planned tests correctly with guidance. Shows competency in all steps of test execution: test plan review and understanding; test setup; test execution; failure reporting; test result reporting. Is able to use Dice and other internal monitoring tools for root cause issues. May participate in other teams’ testing parties.
• Writes good bugs with clear reproduction steps and makes customer impact clear. With guidance able to accurately file bugs in terms of priority, severity, and scheduled build. The bug fix verification queue is always low and is self-monitored. Understands bug fix verification process and seeks assistance to ensure thorough test coverage when closing out bugs. Bug filing at both the UI/usability level and lower level functionality.
• May assist other engineers in executing tests and reporting results in support of release activities.
• May participate in reviewing and assessing escalated cases with over-sight by higher grade engineers.
• Supports other AMTS engineers and new team members on the team’s standard procedures.
• Demonstrates organizational skills in managing own tasks.
• Identifies and anticipates customer requirements, expectations, and needs throughout the software development lifecycle. Fosters a customer success focused environment. Responds to customer issues with appropriate urgency and resolves them in thorough and timely manner.
• Approaches problems with curiosity and open-mindedness. Pro-actively looks for ways to streamline and/or improve efficiency by contributing to repeatable processes, automation & documentation. Generates innovative ideas and solutions to problems.
• Does not easily give up in the face of unexpected obstacles. Maintains a consistent, high level of productivity. Takes personal responsibility to make decisions and take action. Demonstrates a “can-do” spirit, a sense of optimism, ownership, and commitment. Projects a positive image and serves as a role model for others.
• Carefully monitors the accuracy and quality of work methods and outputs. Is committed to excellence. Seeks out and applies best practices. Probes and looks past symptoms to determine the underlying causes of problems and issues. Addresses problems with accuracy, speed and thoroughness.

Qualification

• Design, build, and enhance AI-assisted tools leveraging Large Language Models (LLMs) such as Cursor, Claude, and Windsurf.
• Develop and optimize prompt strategies, agent workflows, and orchestration layers to support complex AI-driven use cases.
• Integrate AI capabilities into existing platforms, APIs, and internal systems to improve testability and productivity.
• Define and implement robust frameworks to validate AI outputs for accuracy, relevance, safety, and consistency.
• Perform both qualitative and quantitative evaluation of model responses, including hallucination detection, bias analysis, and edge-case identification.
• Establish benchmarks, test suites, and automated evaluation pipelines for AI-powered tools and workflows.
• Collaborate closely with peers and technical leads to drive best practices in prompt engineering, AI evaluation, and quality standards.
• Ensure AI solutions adhere to internal quality guidelines, ethical standards, and data privacy requirements.
• Implement guardrails, fallback mechanisms, and monitoring to ensure reliability of AI-generated outputs.
• Hands-on experience in validating, evaluating, and benchmarking AI/LLM-based responses in real-world systems.

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