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.

As a Senior Engineering Manager (M3) , you’ll lead a talented team of Machine Learning Engineers and Software Engineers developing the intelligent systems that power next-generation cloud reliability. You’ll combine technical depth with leadership excellence — guiding architecture, execution, and delivery of large-scale AI systems that make a real impact.

If you’re passionate about building products at the intersection of AI, DevOps, and cloud-scale engineering , this is where you’ll define what’s next.

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.

As a manager of the software engineering division, you will apply your knowledge of software architecture to manage software development tasks associated with developing, debugging or designing software applications, operating systems and databases according to provided design specifications. Build enhancements within an existing software architecture and suggest improvements to the architecture.