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Software Engineering MTS
| Company | Salesforce |
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| Location | San Francisco, CA, USA |
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| Salary | $137100 – $188600 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Junior, Mid Level |
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Requirements
- 2+ years of experience with Golang
- Experience with performance optimization
- A related technical degree required
- Hands-on experience building, scaling and maintaining large scale, complex distributed systems in the B2B (or B2C) SaaS space that scale for millions of users and is available 24×7
- In-depth working knowledge of Java and Python
- Solid experience in developing/maintaining large scale Microservices using public cloud technologies such as 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
- Solid understanding of SDLC, and best practices 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 escalations 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 effectively in a distributed team setting
- Available for on-call support on regular rotation basis
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 elegant, 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, embrace, 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
Preferred Qualifications
- Experience with ASR, TTS, Streaming, and Voice Technologies.
- Experience with Python, Java/J2EE technologies such as Spring, Spring Boot, Hibernate and EJB
- Experience with Data model design and familiarity with SQL and NoSQL
- Ability to cross-over to help on the DevOps side of things (CI/CD tools, Terraform, Automation, etc.)
- Exposure to AI technologies such as 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 knowledge (either as a developer or as admin)
