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Safari AI

Software Engineer, Cloud Infrastructure

Safari AI

. Serve as the primary contributor to Safari AI cloud infrastructure .

Posted 11/3/2026full-timeRemoteMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AWS or other public cloud platforms, with a strong focus on building and maintaining complex services in production. Proven ability to apply engineering best practices and contribute to team collaboration and project ownership in a startup environment.

Highest-signal resume keywords
AWS ProficiencySoftware Development Lifecycle (SDLC)Cloud Infrastructure DesignIncremental Feature DeliveryTeam Building and Mentoring

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software DevelopmentCloud Service DevelopmentSecurity ComplianceStreaming Processing ServicesMachine Learning Engineering
Soft Skills
Effective CommunicationTeam CollaborationOwnership
Tools & Technologies
GCPAzure
Industry Keywords
Engineering Best PracticesProduction Service ReliabilityEarly-Stage Startup Environment

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformSDLC

About the role

Key responsibilities & impact
  • Serve as the primary contributor to Safari AI cloud infrastructure
  • Practice engineering best practices for system design, coding, documentation and communication
  • Work closely with engineering and operations teams to identify priorities and communicate them effectively
  • Contribute to engineering development process improvements
  • Set technical direction for the cloud infrastructure stack
  • Build products and invent new markets in an early-stage startup environment
  • Take ownership of a singular project, typically within a small project team of 1–3

Requirements

What you’ll need
  • 4-6 years software individual contributor experiences
  • Proficiency in AWS or at least one of the following public cloud: GCP/Azure
  • Proven record on building a complex service from scratch to production
  • Experiences in delivering incremental features and maintaining reliabilities of a production service
  • Good understanding in best practices in software development lifecycle (SDLC) and security compliance
  • Please send your code or piece of work if interested
  • Nice-to-have: proven experiences of building a team and mentoring skills
  • Nice-to-have: streaming processing service experiences
  • Nice-to-have: machine learning engineering experiences

Benefits

Comp & perks
  • Opportunity to shape an early-stage, mission-driven startup and revolutionize how Enterprises use Computer Vision
  • Professional growth at a fast-growing, venture-funded start up with a proven founder and leadership team
  • Competitive salary and meaningful equity for early team members
  • Unlimited vacation days
  • Generous health benefits (Health, Vision, Dental)
  • 401k for US team members
  • Brand new, top of the line hardware and whatever else you need to help you win