AI + BackEnd Engineer Job in Hyderabad at Salesforce

Salesforce is hiring for the role of SMT/LMTS -AI + BackEnd Engineer!

Responsibilities of the Candidate:

• Manage the infrastructure for code generation and metrics tools, including cloud-based resources and on-premise environments.
• Ensure scalability, reliability, and performance of the infrastructure to support growing user base and increasing demand.
• Develop and maintain deployment scripts and automation tools to ensure efficient and reliable deployment of code generation and metrics tools.
• Monitor tool performance, latency, and errors to identify areas for improvement and optimize system configuration.
• Design, develop, and manage a scalable and extensible Agent platform with common framework tooling for the platform.
• Ensure Agent platform is modular, flexible, and easy to maintain, with a focus on scalability and performance.
• Collaborate with cross-functional teams to design and implement platform architecture that meets business requirements and ensures scalability, reliability, and performance.
• Ensure platform architecture is aligned with industry standards and best practices.
• Eat, sleep, and breathe techniques in improving developer productivity. You have a knack for suggesting ideas to understand the developer's needs and provide creative solutions to improve the developer's productivity using AI tools
• Participate in the team’s on-call rotation to address complex problems in real time and keep services operational and highly available
• Create and enforce processes that ensure quality of work, and drive engineering excellence
• Exhibit a customer-first mentality while making decisions, and be responsible and accountable for the output of the team

Requirements:

• 5+ years of experience in platform and infrastructure engineering, with a focus on scalable and extensible systems.
• Experience with infrastructure as code tools, such as Terraform or CloudFormation.
• Knowledge of cloud-based services, including compute, storage, and networking.
• Familiarity with monitoring and logging tools, such as Prometheus, Grafana, and ELK.
• Strong analytical skills with expertise in statistical modeling and machine learning techniques (e.g., regression analysis, classification, clustering).
• Excellent communication skills, both written and verbal, to effectively collaborate with cross-functional teams (engineering, product management)
• Ability to work in a fast-paced environment, with a focus on delivering high-quality results under tight deadlines.