Salesforce Software Engineering AMTS freshers with 0-2 years experience can apply Full Time

Responsibilities:

• Development and maintenance of robust and scalable client & server-side components
• Investigate, troubleshoot and resolve customer defects and production issues with Tableau products in a timely manner.
• Triage and resolve basic, well-defined, work items and customer defects with needed guidance.
• Leverage AI tools across the lifecycle of work items
• Analyze product log files, crash dumps, network traces, etc.
• Write code (new development, bug fixes), and automated tests, and ensure adherence to coding standards,quality standards and best practices.
• Develop understanding of how the fixed module integrates with the broader product.
• Learn technologies, design patterns, and Engineering Best Practices.
• Work in a Hybrid Engineering model, collaborating with product managers, architects, and other stakeholders to define technical requirements and specifications.
• Strive to improve your work every sprint by making small changes to your approach.
• Clearly document steps-to-reproduce, root cause analysis (RCA) findings, logical fix explanations.
• Log and provide timely status updates on assigned work items.
• Transparently share progress and roadblocks with their mentor and senior engineers.

Eligibility:

• Experience B.S/M.S. in Computer Sciences or equivalent field.
• 0-2 years of  relevant software development experience with deep working expertise primarily in C++ 17 or Java 17 and later. 
• Experience in other languages like, Javascript, Typescript, C# will be good to have
• Experience in software engineering development paradigms and best practices, with high focus on reliability and quality. 
• Understanding of architecture principles, design patterns, multithreading, concurrency, queues, locks, scheduling, event-driven architecture, workload distribution, along with a deep understanding of relational databases and non-relational databases.
• Understanding of object-oriented programming 
• Understanding of debugging and performance optimization techniques
• Familiarity with relational databases and SQL queries.
• Understanding of  Agile methodologies and software engineering best practices including coding standards, SCM, CI, build processes, testing, and operations.
• Excellent problem-solving, organizational and analytical skills
• Preferred: Experience working in enterprise-level SaaS products and deploying services on public cloud platforms (GCP, AWS, Azure).
• Preferred: Experience working in large scale distributed systems, working with microservices, container orchestration and/or distributed architecture.

Preferred Qualifications