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Principal Software Engineer, Architecture

Posted 22 days agoViewed

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💎 Seniority level: Principal, 15+ years

💸 Salary: 181000.0 - 271000.0 USD per year

🔍 Industry: Cloud Computing

🏢 Company: DigitalOcean👥 1001-5000💰 $34,913,641 Post-IPO Equity over 3 years ago🫂 Last layoff almost 2 years agoVirtualizationDevOpsWeb HostingCloud ComputingSaaS

🗣️ Languages: English

⏳ Experience: 15+ years

Requirements:
  • Architect level experience in cloud computing, storage, networking, and PaaS/IaaS/SaaS.
  • 15+ years of professional experience in web-scale system software development.
  • 5+ years developing and supporting serverless applications.
  • Demonstrate ability to influence and drive technical alignment between teams.
  • Master’s degree or higher preferred.
Responsibilities:
  • Work at the forefront of cloud and distributed computing technologies.
  • Serve as the architect driving the technical strategy and direction for large-scale cloud services.
  • Establish a long-term technical direction for software services ensuring alignment with customers and internal teams.
  • Lead a team of technical leads to evolve service architecture and oversee product roadmaps.
  • Mentor individuals and the engineering community on advanced technical issues.
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🧭 Full-Time

💸 225000.0 - 338000.0 USD per year

🔍 Cloud Computing, AI/ML

🏢 Company: DigitalOcean👥 1001-5000💰 $34,913,641 Post-IPO Equity over 3 years ago🫂 Last layoff almost 2 years agoVirtualizationDevOpsWeb HostingCloud ComputingSaaS

  • Architect-level experience in large-scale cloud and AI/ML services.
  • Demonstrated ability to lead and mentor software and AI/ML teams.
  • Experience with web and cloud-native services and deploying scalable AI/ML solutions in production.
  • Hands-on experience with AI/ML frameworks and libraries like TensorFlow, PyTorch.
  • Understanding of the MLOps lifecycle, including data engineering and model monitoring.
  • In-depth experience in Cloud Computing, Storage, Networking, and related areas.

  • Working at the forefront of cloud, distributed computing, and AI/ML technologies.
  • Serving as the architect driving the technical strategy for large-scale cloud services.
  • Developing AI/ML models to optimize cloud infrastructure and enhance user experience.
  • Building scalable machine learning pipelines and frameworks.
  • Establishing long-term technical direction for software services, aligning with business goals.
  • Leading a team to evolve service architecture across product technical roadmaps.
  • Mentoring individuals on advanced technical issues and best practices in AI/ML.
Posted 22 days ago
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