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.
Career Level - M3
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.