Senior Staff Software Engineer, Reliability

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

This role will be based in Mountain View, CA.

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.

As part of our world-class software engineering team, you will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems design, and your passion for writing code that performs at massive scale. LinkedIn has pioneered many well-known open-source infrastructure projects including Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feathr, etc. We also work with industry standard open source infrastructure technologies like Kubernetes, GRPC, Apache Flink, and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company.

As a Sr. Staff Software Engineer, you will be a key technical leader and role model within the organization. We are looking for a technical lead who designs and develops technology to serve business and technology objectives, aligns points of view across teams and makes trade offs to help achieve the goals of individual teams as well as LinkedIn's broader goals. You will foster LinkedIn's culture and values around transformation, collaboration and results driving key technology adoption and seamless platform migrations. You will work closely with technical leadership and management within and outside our organization to contribute to building best-in-class infrastructure for LinkedIn.

Responsibilities:

• You will function as the technical lead for multiple key initiatives, identify problems & opportunities and lead teams to architect, design, implement and operationalize systems.
• You will own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
• You will deliver impact by driving innovation while building and shipping software at scale.
• You will design products, services, tools and code that can be used by others while upholding operational impact of all decisions.
• You will improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance.
• You will effectively communicate with the team, partners and stakeholders to execute on the vision for long-term success of our core infrastructure teams.
• You will mentor other engineers, provide architectural guidance, define our challenging technical culture, and help to build a fast-growing team.
• You will working closely with the open-source community to participate and influence cutting edge open-source projects.
• You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale.
• You will diagnose technical problems, debug in production environments, and automate routine tasks.
• You will keep a platform-first approach while designing products and services.

Qualifications

Basic Qualifications:

• BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
• 4+ years of industry experience in software design, development, and algorithm related solutions.
• 4+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C, or Ruby.

Preferred Qualifications:

• BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience.
• Experience in architecting, building, and running large-scale distributed systems and client-server architectures.
• Experience in architecting and designing large-scale distributed systems related to data infrastructure, IaaS, ML/AI infrastructure, storage, graph, stream-processing, Pub/Sub systems, Kubernetes, and platforms.
• Experience with Linux operating systems and troubleshooting production systems at scale.

Suggested Skills:

• Distributed Sys