Backend Software Engineer - USDS

About the team

TikTok is seeking a Performance & Capacity SWE (Optimization) 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 creating and optimizing capacity plans 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 these capacity plans 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 help build software systems to build scalable, reliable planning systems to connect business strategy with detailed technical execution including regional and temporal bin-packing, optimal service placement, traffic shifts and service migrations, efficient hardware refresh, etc.

• 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.
• Partner with advanced architecture teams in pathfinding and production emerging technology trends and innovation.

Minimum Qualifications : - Demonstrated success leading large engineering projects and initiatives. Defining goals, managing ambiguity, inspiring and leading other engineers and non-technical contributors.

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Proficient in Golang, Python, C / C++, or other coding languages and designing large scale software systems.Preferred Qualifications : - Knowledge of cloud datacenter 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 or memory technologies (SSDs, HDDs, tape, DRAM 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.