Software Engineer LMTS

Salesforce•Palo Alto, CA

1d•Hybrid

About The Position

Salesforce is seeking a versatile and mission-driven Software Engineer (MTS/SMTS) to join a team leveraging advanced algorithms, Big Data technologies, and generative AI to build process intelligence capabilities in the Agentforce platform. You will drive the development of features and integrations that will enable companies to leverage data from myriads of sources to discover, automate, and optimize their business processes. The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build innovative products right and release them with high quality.

Requirements

Bachelor’s degree in computer science or related field
6+ years of professional software development experience
Strong proficiency in Java
Experience in web standards and technologies including REST, HTTP protocols, WebSockets, Redis and API lifecycle management
Deep expertise in relational databases and data modeling
Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit, Selenium
Excellent communication and interpersonal skills
Office-Flex: Work in-person three days per week; or 10 days per quarter for some engineering teams

Nice To Haves

Experience developing modern, component-based user interfaces using React or related frontend technologies, and collaborating effectively across frontend and backend boundaries.
Familiarity in building and delivering highly scalable, reliable, and complex software systems in a hosted cloud environment using AWS, Docker, and Kubernetes
Experience in working and developing with AI and Large Language Models (LLMs)
Master's degree in Computer Science or equivalent field
Track record of being a top performer in current and past roles

Responsibilities

Architect, design, implement, test and deliver highly scalable products
Master our development process, culture and code base, then improve it
Come up with innovative ideas to improve robustness, scalability and performance.
Drive architectural decisions across teams and guide the implementation of complex features.
Provide technical leadership and mentorship to other engineers.
Operate optimally in the hybrid engineering model where engineers are encouraged to be able to craft and complete the vital work to ensure quality in their own code as well as other engineers
Drive best practices in software design, testing, and operational readiness.
Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation metrics
Actively participate in release and deployment process.
Participate in the team’s on-call rotation to address sophisticated problems in real-time and keep services operational and highly available