Software Engineering MTS

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About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Software Engineer

Office hybrid in San Francisco, Seattle or Boston

Job Description:
Do you want to be a trailblazer of Artificial Intelligence in Salesforce? Are you excited to work on a product that uses the power of Salesforce Platform, Real-time Communication technologies and AI to make a direct impact to millions of users? Do you feel excited about a software development position that has the opportunity to collaborate with Einstein researchers and data scientists? If your answer is Yes, you need to check the Software Engineer openings in Agentforce team!

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

We are growing rapidly and are looking for strong performers to help solve sophisticated problems in this innovative space. The Agentforce Planner team is looking for a technically strong, highly collaborative and accomplished Software Engineer to join our exceptional team of engineers. We value open communication, critical feedback, passion, and having fun.

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 platform/ecosystem/implementation

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