Cloud Architecture Specialist

3 weeks ago

Denver, Colorado, United States DigitalOcean Full time
About DigitalOcean

At DigitalOcean, we're passionate about simplifying cloud infrastructure and AI so builders can focus on creating software that changes the world. Our team is made up of talented individuals who are proud to be a part of an upward trajectory technology company.

The Role

We're seeking a highly experienced Principal Software Engineer, Architecture (AI/ML) to join our team. As a key member of our engineering organization, you will be involved in the architecture, design, implementation, verification, and integration of the next generation of DigitalOcean Cloud Computing software with a strong emphasis on AI/ML-driven solutions.

What You'll Be Doing
  • Working at the forefront of cloud, distributed computing, and AI/ML technologies.
  • Serving as the architect driving the technical strategy and direction for our large-scale cloud services, including machine learning model deployment and orchestration.
  • Developing AI/ML models to optimize cloud infrastructure, improve system reliability, and enhance user experience.
  • Building and refining machine learning pipelines and frameworks to support scalable AI/ML solutions.
  • Owning the primary responsibility for establishing a pragmatic long-term technical direction for our software services, ensuring alignment with our customers, business goals, and internal teams.
  • Leading a team of highly passionate technical leads to evolve our service architecture, with alignment across several product technical roadmaps.
  • Leading by example through direct contribution and providing direction in establishing development and operational practices, with specific attention to AI/ML model lifecycle management.
  • Serving as the technical lead on our most demanding, cross-functional projects.
  • Actively mentoring individuals and the engineering community on advanced technical issues, including best practices in AI/ML.
Requirements
  • Architect-level experience in large-scale cloud and AI/ML services.
  • Demonstrated ability to lead and mentor large software and AI/ML teams.
  • Experience with web and cloud-native services, deploying scalable AI/ML solutions in production.
  • Adept at Systems Thinking, decomposing complex problems into simple, straight-forward solutions, including AI/ML-specific challenges like model drift and data dependency management.
  • Strong grasp of system interdependencies, limitations, and expertise in AI/ML optimization techniques for performance, scalability, and accuracy.
Additional Requirements
  • Hands-on experience in AI/ML frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-Learn, and model-serving frameworks like TensorFlow Serving or ONNX.
  • Proven experience in developing and deploying models for performance-intensive applications at web-scale.
  • Understanding of the MLOps lifecycle, including data engineering, model training, validation, deployment, and monitoring.
  • Knowledge in performance, scalability, enterprise system architecture, and engineering best practices with an emphasis on the integration of AI/ML.
  • Leverage knowledge of open-source, industry standards, and prior art in architecture decisions with AI/ML considerations.
  • Balance technical leadership and savvy with strong business judgment to make the right decisions about technology, demonstrating simplicity and creativity.
Benefits
  • Competitive salary range: $225,000 - $338,000 based on market data, relevant years of experience, and skills.
  • Bonus potential in addition to base salary, determined by company and individual performance.
  • Equity compensation to eligible employees, including equity grants upon hire and participation in the Employee Stock Purchase Program.
  • Career development opportunities, including reimbursement for conferences, training, and education, as well as access to LinkedIn Learning's 10,000+ courses.
  • Flexible time off policy and competitive benefits package, supporting overall well-being.

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