Salesforce Software Engineering MTS 

United States, California, San Francisco 

224616644

Job Category

Software Engineering

Job Details

Software Engineer

Office hybrid in San Francisco, Seattle or Boston

Agentforce 2.0 is the digital labor platform for enterprises, enabling a limitless workforce through AI agents for any department, assembled using a new library of pre-built skills, and that can take action across any system or workflow
Responsibilities:

• Build, scale and maintain critical features of the Agentforce platform that are used by millions of end users
• Understand the customer/business requirements and translate them to sophisticated, flexible, and easy-to-use platform capabilities
• Lead and participate in Software Design and Architecture discussions and decision making
• Drive the execution and delivery of features by collaborating with architects, product owners, engineers, user experience designers and data scientists
• Develop test strategies, design automation frameworks, write unit and functional tests to drive up code coverage and automation goals
• Lead and mentor junior members of the team
• Adopt, accept, and promote agile and test-driven software development practices
• Be a multiplier and have a passion for team and team members’ success
• Be a vocal advocate for technical excellence and help the team members make sound decisions

Basic qualifications and skills:

• A related technical degree required
• 1+ years of hands-on experience building, scaling and maintaining large scale, complex distributed systems in the B2B (or B2C) SaaS space that scale and is available 24x7
• Experience with Python, Java/J2EE technologies such as Spring, Spring Boot, Hibernate and EJB
• Proven experience in developing and maintaining microservices using public cloud technologies like AWS, Azure, GCP, or Heroku
• Experience in REST based API development, API lifecycle management and/or client SDKs development
• Experience in test-driven development with focus on unit testing, integration testing and end-to-end automation
• Proven understanding of SDLC, and standard processes in design, development, testing, and deployment
• Experience with Agile development methodologies, pair programming, continuous integration (CI) and continuous deployment (CD)
• Ability to support/resolve production customer issues with excellent debugging and problem solving skills
• Strong verbal and written communication skills. Self driven with superior organizational and project management skills
• Ability to work optimally in a distributed team setting
• Experience with data model design and familiarity with SQL and NoSQL
• Available for on-call support on regular rotation basis

Nice to have skills

• Ability to cross-over to help on the DevOps side of things (CI/CD tools, Terraform, Automation, etc.)
• Exposure to AI, Machine Learning and Deep Learning from a data engineering perspective, and experience working with data scientists in taking models to production
• Experience using Analytics and Monitoring tools such as Pingdom, New Relic, Graphite, Sumo Logic and/or Splunk
• Some Salesforce

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