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LinkedIn

Senior Software Engineer - Site Engineering

LinkedIn

Engineering, Social Media, Sunnyvale

Your reward

4 to 10 years of experience

4+ years of experience in software design, development, and algorithm-related solutions

4+years of programming experience in Java, Python, Golang and/or C/C++

Experience working with large-scale systems and an operational mindset

The Supermomos community can provide employee referrals for relevant applicants

The Observability team at LinkedIn is responsible for the billions of operational metrics ingested every minute within LinkedIn. Team maintains the platforms and products for metrics ingestion, storage, retrieval, visualization, alerting, incident creation & escalation, triaging, remediation, health-checking and synthetic testing.

They are looking for a software engineer with experience working with large-scale systems and an operational mindset to help scale the Observability Platforms and experiences.

Responsibilities:
You will deliver impact by driving innovation while building and shipping software at scale
You will provide architectural guidance and mentorship to up-level the engineering team
You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies
You will design products/services/tools and code that can be used by others while upholding the operational impact of all decisions
You will identify problems and opportunities and lead teams to architect, design, implement and operationalize systems
You will handle technical conflicts and build team dynamics to foster alignment and collaboration within the team

Basic Qualifications:
BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
4+ years of experience in software design, development, and algorithm-related solutions.
4+years of programming experience in Java, Python, Golang and/or C/C++.

Preferred Qualifications:
BS 4+ years of relevant work experience, MS 2+ years of relevant work experience.
Experience in designing and building infrastructure and web services at large scale.
Experience building distributed systems.
Experience with industry, open-source projects and/or academic research in large-data, parallel and distributed systems.
A proven track record of optimization and design improvements for performance and scalability

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $109,000 to $182,000. 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.
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