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LinkedIn is the world’s 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. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works.

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. This role will be based in Sunnyvale, CA.

We are seeking a strategic, hands-on Director to lead the Grid and Streaming SRE team. In this leadership role, you will collaborate closely with development teams to ensure the reliability of LinkedIn's streaming, nearline/offline processing, and data lake ecosystems. You will be responsible for setting the strategic vision and technical direction for a team of 40 engineers, focusing on scaling these highly operationally complex systems. You'll drive the cost of service ownership by fostering a culture of continuous improvement and innovation to optimize system reliability, observability and scalability.

Roles & Responsibilities

• Set the strategic vision, technical direction and develop an execution roadmap for the organization(roughly ~40 engineers).
• Lead and mentor technical teams with a strong emphasis on using API first approach to simplify operations and bring down the total cost of service ownership.
• Drive a culture of continuous improvement and innovation by identifying opportunities to enhance processes, tools, and underlying technology to improve system reliability and scalability.
• Deep understanding of emerging technologies, industry trends, and best practices in compute infrastructure, data processing(batch/nearline), and streaming analytics.
• Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP), Linux-based systems, container orchestration (e.g., Kubernetes), and infrastructure as code (e.g., Terraform, Ansible) and monitoring platforms.
• Lead, mentor, and develop a high-performing team of SRE engineers specialized in data processing, compute and storage for LinkedIn’s large scale big data ecosystem.

Basic Qualifications

• BA/BS degree in Computer Science or a related field
• 10+ years in Engineering leadership focused on dev/ops based roles leading teams of engineers of size 40+.
• 5+ years in large scale big data & analytics ecosystem
• 4+ years of building software to simplifying operations and reducing toil in managing large scale infrastructure
• 4+ years experience in one or more of the following areas: Cloud data infrastructure, Apache Kafka, Apache Flink, Apache Hadoop infrastructure or equivalent, ML platforms with a particular focus on availability, observability, and security

Preferred Qualifications

• A background in hands-on development in programming/scripting languages such as Python, Go Java or Ruby.
• Experience attracting, retaining, and developing top engineering talent throughout the industry.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $203,000 to $333,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

Equal Opportunity Statement

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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