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 Bangalore, India. We are seeking a strategic, hands-on Director for Site Reliability Engineering team. In this leadership role, you will collaborate closely with software development teams to ensure the reliability of LinkedIn's streaming, batch processing, data lake and online serving document store ecosystems. You will be responsible for setting the strategic vision, technical direction, and execution roadmap for a team of 40+ engineers, focusing on scaling systems to meet evolving business and capacity needs while advancing the tech migration roadmap. Additionally, you'll drive automation, reduce operational toil, and foster a culture of continuous improvement and innovation to optimize system reliability, observability, scalability, and performance. Roles & Responsibilities: - Set the strategic vision, technical direction and develop an execution roadmap for the organization focused on infrastructure reliability (roughly ~40 engineers). - Build and maintain a high-performing engineering team for SREs and drive a culture of continuous improvement, innovation and accountability. - Drive APIs first approach for operations of infrastructure life cycle management and automated remediations to restore *desired* state using infrastructure as code. - Provide observability and deep actionable insights into infrastructure health and drift. - 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). - Experience with CI/CD pipelines and monitoring tools (e.g., Prometheus, Grafana). Basic Qualifications - BA/BS degree in Computer Science or a related field - 15+ years in Engineering leadership focused on dev/ops based roles leading teams of engineers of size 40+. - 8+ years of building software to simplifying operations and reducing toil in managing large scale infrastructure - 8+ 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. Suggested Skills: - People leadership - Strategic thinking - Problem solving You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy\_India\_EqualOppPWD\_9-12-2023.pdf Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal