Senior Software Engineer, Platform & Infrastructure
Tubi
AWSCloudJenkinsKubernetesLinuxTerraform
Lead Software Engineer – Agentforce Voice Agents
Salesforce
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $125,700 - $253,000 per year
Job Level
Senior
Tech Stack
AWSAzureCloudDistributed SystemsGoogle Cloud PlatformHerokuHibernateJ2EEJavaMicroservicesPythonSDLCSpringSpring BootSpringBoot
About the role
- 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
- Participate in Software Design and Architecture discussions
- 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 the team and team members’ success
- Be a vocal advocate for technical excellence and help the team members make sound decisions
Requirements
- A related technical degree required
- 5+ years of 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 24x7
- In-depth working knowledge of Python
- Experience with ASR , TTS , Streaming , and Voice Technologies.
- Experience with performance optimization (high load, concurrency optimization, etc.)
- Experience with Java/J2EE technologies such as Spring, Spring Boot, Hibernate and EJB
- 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
- 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 a regular rotation basis.
Benefits
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonASRTTSStreamingVoice TechnologiesJavaSpringSpring BootHibernateMicroservices
Soft skills
leadershipmentoringcommunicationorganizational skillsproject managementproblem solvingcollaborationadvocacy for technical excellenceself-driventeamwork
Certifications
related technical degree
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