Staff Software Engineer, Tech Lead, CCME

Responsibilities

• Define and execute multi-year strategies and technical roadmaps for the optimal decision making (ODM) team.
• Act as the primary Tech Lead for the ODM team (~12 SWEs L3-L5), establishing clear architectural boundaries, scalable abstractions, and resilient systems while making technical contributions and designs.
• Collaborate with various capacity management and planning teams to identify shared efficiency opportunities while keeping the ecosystem reliable.
• Mentor and elevate a high-performing team of L3–L5 software engineers, delegating high-complexity sub-systems and coaching them through system design and execution.
• Advoacte engineering best practices, driving continuous improvements in development velocity, telemetry, and system maintainability.
• - Define and execute multi-year strategies and technical roadmaps for the optimal decision making (ODM) team. - Act as the primary Tech Lead for the ODM team (~12 SWEs L3-L5), establishing clear architectural boundaries, scalable abstractions, and resilient systems while making technical contributions and designs. - Collaborate with various capacity management and planning teams to identify shared efficiency opportunities while keeping the ecosystem reliable. - Mentor and elevate a high-performing team of L3–L5 software engineers, delegating high-complexity sub-systems and coaching them through system design and execution. - Advoacte engineering best practices, driving continuous improvements in development velocity, telemetry, and system maintainability.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor's degree or equivalent practical experience. - 8 years of experience programming in C++, Java, Python, Kotlin or Go. - 5 years of experience testing, and launching software products. - 3 years of experience with software design and architecture. - Experience integrating generative AI tools or LLM interfaces into workflows. Preferred qualifications: - Master’s degree or PhD in Computer Science, Operations Research, or a related technical field. - Background in mathematical optimization, constraint solvers (linear programming/mixed-integer programming (LP/MIP)), simulation, or large-scale data pipelines. - Industry experience in capacity planning, cloud resource allocation, supply chain modeling, or fleet management systems. - Experience leading and growing medium-to-large engineering teams. Excellent communication and collaboration skills. - Passion for delivering impact in an enterprise-facing and customer-facing environment. - Experience with distributed systems and highly scalable and reliable systems/cloud services.