Software Development Snr Manager

At OCI, you'll work on solving some of the hardest problems in cloud computing - building intelligent, self-healing systems that redefine how enterprises run their workloads. You'll lead a passionate team that combines the best of AI innovation and cloud engineering, with the freedom to experiment and the scale to make global impact.

Join Oracle Cloud Infrastructure (OCI) and lead the team for building services that offer - an AI-powered, agent-driven DevOps enabler that brings advanced reasoning and automation to cloud operations.

Senior Engineering Manager (M3)

AI, DevOps, and cloud-scale engineering

What You'll Do

Lead with Vision

• Build and scale a high-performing team delivering

  AI-driven cloud operations systems

  .
• Shape and execute on the

  technical roadmap

  and ensure timely, high-quality delivery of features and releases.
• Partner with product leaders, architects, and applied scientists

Drive Technical Excellence

• Provide hands-on guidance on system architecture, ML model deployment, and MLOps best practices.
• Ensure engineering rigor - through high-quality design, code reviews, and performance benchmarking.
• Foster innovation: translate research ideas into robust, production-grade systems.

Build and Grow Teams

• Recruit, mentor, and retain top engineering talent across

  machine learning and software development

  .
• Cultivate a collaborative culture that values experimentation, accountability, and delivery
• Coach senior engineers to develop leadership, ownership, and architectural judgment.

Deliver at Scale

• Oversee design and implementation of

  AI driven workflows

  for mission-critical cloud operations.
• Partner with other OCI teams to ensure reliability, observability, and scalability in real-world environments.
• Measure and communicate business impact - from operational efficiency to automation-driven innovation.

What are we looking for

Key Qualifications

• 15+ years of experience

  in software engineering, including

  5+ years leading technical teams

  delivering large-scale systems or ML products.
• Proven ability to lead

  cross-functional teams

  of ML and software engineers.
• Deep understanding of

  machine learning engineering

  ,

  generative AI

  , or

  autonomous agent architectures

  .
• Strong technical foundation in

  programming

  , distributed systems, and

  cloud-native microservices

  .
• Experience with

  DevOps practices

  , including CI/CD, model monitoring, and lifecycle management. Experience with MLOps is a plus.
• Excellent communication and executive presence, with the ability to align diverse stakeholders and drive complex projects to completion.
• Proven ability to collaborate across teams and organizations.
• Bachelor's or Master's degree in Computer Science, Machine Learning, or related technical field.

Preferred Qualifications

• Background in

  cloud operations or infrastructure monitoring

  , especially applying AI to improve reliability and automation.Experience building enterprise-scale AI products on

  OCI, AWS, Azure, or GCP

  .
• Demonstrated thought leadership through

  open-source contributions, publications, or patents

  .
• Hands-on experience deploying

  LLM-based systems

  ,

  RAG pipelines

  , or

  AI copilots

  in production.
• Knowledge of

  reinforcement learning

  ,

  multi-agent frameworks

  , or

  reasoning systems

  is a plus.