Principal Staff Software Engineer, Capacity Infrastructure

Company Description

LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.

Job Description

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

The Capacity Efficiency engineering organization is responsible for matching the supply of hardware and software resources at LinkedIn to current and anticipated demand for those resources. We deliver impact by ensuring that we have the capacity to meet the needs of traffic from our billion+ members. We do this while also optimizing the cost of these resources.

We are seeking a Principal Staff Software Engineer to join LinkedIn's Capacity Infrastructure team to play a critical role in designing and implementing the foundational datasets and tools that power the visibility, cost attribution and planning of LinkedIn Infrastructure.

As a Principal Engineer, they will mentor team members, uphold a high bar for technical excellence, and elevate the team's overall capabilities. They will also embody and promote LinkedIn's Core Values - transformation, collaboration, and results - nurturing a culture that reflects these principles.

In this role, you'll collaborate closely with cross-functional partners, finance, bizops, product and capacity planning and customer stakeholders to strategize, design, and lead forward-thinking solutions. A hands-on approach to complex problem-solving, coupled with strong leadership and a commitment to delivering high-quality outcomes, is critical to your success.

Responsibilities

• We take an engineering-first approach to elevate infrastructure. As a Principal Engineer, you'll be driving the strategy to reduce the total cost of ownership to run and operate our infrastructure.
• Build platforms to augment end-to-end reliability and scalability of LinkedIn's platforms, services, and products and bring actionable operational insights to enable continuous improvement.
• Scale: our data footprint continues to grow exponentially beyond 100s of thousands of servers, multiple exabytes of storage, 10s of trillions of events/messages - arrive at a cohesive strategy and best practices to continue to scale our footprint 10x.
• Cloud-based ecosystems are rapidly evolving. In this role, you will be expected to stay up to date with the latest cloud trends, including Kubernetes, serverless technologies, containers, and best practices for managing and optimizing large-scale infrastructure performance and help define our strategy and roadmap to set us up to be competitive and get ahead of the trends.
• Provide architectural guidance and mentorship to elevate the engineering organization, actively enhancing craftsmanship at LinkedIn by establishing best practices and strategic approaches.
• Influence and lead architecture and design decisions with a strong focus on ensuring Effective Capacity Management and on Efficiencies
• Drive consensus across cross-functional teams within a matrixed organization, fostering alignment and building a cohesive and collaborative team culture.

Qualifications

Basic Qualifications

• BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience
• 10+ years of experience in software design/development
• 7+ years in a technical leadership role overseeing large, cross-functional teams..
• 7+ years' experience in/with programming skills in languages such as Python, Go, Java, Rust, Scala, or C++
• Hands-on experience developing distributed systems or other large-scale systems

Preferred Qualifications

• MS Degree and/or PhD in Computer Science or related technical discipline, or equivalent practical experience
• 10+ years programming experience in an object-oriented programming language such as Java, C/C++, Python
• Infrastructure capacity planning and forecasting experience in the tech industry
• Knowledge of AI/ML and data analytics
• Experience with large-scale distributed systems and client-server architectures
• Experience with Data Infrastructure tech stacks: Kafka/PubSub systems, Flink, Airflow, ETL framework and distributed storage (HDFS, S3/EBS, Object Storage, Couchbase, or s