Backend Software Engineer, Capacity & Optimization - USDS

About the team:
TikTok is seeking a software engineer to join the Capacity & Optimization Engineering team to focus on site-wide performance and capacity optimization at the intersection of all Tiktok products, services, and physical infrastructure (Servers, Data Centers, Network).

This role will focus on optimizing Infrastructure performance and capacity at various altitudes to balance services, infrastructure, and business constraints by using Operations Research skills to build and improve mathematical optimization models and solutions. This role is uniquely positioned to optimize infrastructure resources at the most strategic levels with company level impact. This is one of the most cross functional roles at the company, with the opportunity to work with a variety of engineering and business teams to power the rapid growth of TikTok's products. This engineer will help to ensure optimal operation of our infrastructure resources from both a cost and technology perspective, facilitating tens of billions of user requests, tens of exabytes of data and terabits/s of network flow. Come and help build one of the largest fleet and internet services in the world!

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Responsibilities
- Design and develop large-scale optimization software systems that ensure reliable and efficient planning. These systems bridge business strategy with precise technical execution, incorporating regional and temporal bin-packing, optimal service placement, service migrations, and streamlined hardware refresh processes.
- Effectively lead large engineering efforts while implementing the most complex parts of the system and process design yourself.
- Partner with Finance and business teams to balance cost efficiency with technical and product considerations.
- Work cross-functionally to define problem statements, collect data, build software driven models and make recommendations to drive change and optimization at the most strategic levels.
- A lot of other cool work: Identify capacity-related issues proactively and work across technical and business teams to define and implement solutions.
- Collaborate with data center engineering teams, strategize, and project infrastructure needs 2-5 years in the future, influence next generation data center development, and develop recommendations and strategies that give a unique edge to Oracle hardware infrastructure.
- Demonstrated success leading large engineering projects and initiatives. Defining goals, managing ambiguity, inspiring and leading other engineers and non-technical contributors.
- Partner with advanced architecture teams in pathfinding and production emerging technology.Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Proficient in Golang, C/C++, or other coding languages and designing large scale software systems.
- Proficient in scripting languages like Python and Shell, enabling efficient Linux troubleshooting and automation.

Preferred Qualifications
- Knowledge of cloud architecture and data center infrastructure.
- Knowledge of server technology, rack architecture and at-scale cloud infrastructure deployment.
- Technical understanding of server platform architecture, design and development, with emphasis on at scale deployment.
- Technical understanding of commodity storage and memory technologies (SSDs, HDDs, tape, DRAM etc.) and knowledgeable on storage and/or memory industry trends

Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.