Responsible for the architecture, development, and operation of a high-scale, low-latency platform
Manages real-time ingestion and streaming pipelines
Processes conversational data from voice, video, and email to power various Sales Cloud AI agents
Provides tools for lead outreach and pipeline management, significantly boosting sales productivity
Generates intelligent insights from conversational data to empower sellers

Requirements

Degree in Computer Science (B.S. required, M.S. preferred)
Over 7+ years of practical experience architecting, implementing, and managing durable distributed systems at scale for major enterprise cloud providers
Proven track record in constructing high-availability, large-scale distributed architectures for client-facing environments
Extensive knowledge of contemporary public cloud frameworks (including AWS, GCP, or Azure) and high-performance backend infrastructure
Proficiency in object-oriented programming with mastery in at least one language such as Java, Go, Python, C++, or Ruby
Familiarity with infrastructure automation, cloud provisioning, and AI-assisted development methodologies
Strong interpersonal and professional communication skills, with a focus on cross-functional collaboration and leadership
Commitment to technical excellence through meticulous attention to detail and proactive mentorship of junior engineers

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 & Tools

architecturedevelopmentreal-time ingestionstreaming pipelinesdistributed systemshigh-availability architecturesobject-oriented programmingcloud provisioningAI-assisted developmentconversational data processing

Soft Skills

interpersonal skillsprofessional communicationcross-functional collaborationleadershipattention to detailmentorship

Certifications

B.S. in Computer ScienceM.S. in Computer Science