Staff Software Engineer, Systems Infrastructure

Staff Software Engineer, Systems Infrastructure (Observability)

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

As part of our world-class software engineering team, you will be building the next-generation observability platforms for LinkedIn, including but not limited to: instrumenting applications and infrastructure to collect meaningful metrics, logs, and traces; Collaborate with development teams to ensure consistent and comprehensive instrumentation across all systems; Develop and maintain libraries, frameworks, and tools to simplify instrumentation. You will work and learn among the best, putting to use your passion for building and scaling observability platforms and your passion for writing code that performs at an extreme scale - come join our Observability Engineering team and share the knowledge with a broader community, while making a real impact within LinkedIn.

The Observability Experience (OE) group is charted to simplify and drive observability for LinkedIn. The Observability Platforms (sub team of OE) is responsible for billions of operational metrics ingested every minute within LinkedIn. Observability Platforms maintains the platforms and products for metrics ingestion, storage, retrieval, visualization, alerting, incident creation & escalation, remediation, health-checking and experience platform. We are one of the very few companies globally with a custom-built platform to support billions of metrics ingested at millions of QPS.

This role will be based in Bangalore, India.

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.

Responsibilities

• 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 design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
• 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.
• You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team
• You will work 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

Qualifications

Basic Qualifications

• BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience
• 8 years of industry experience in software design, development, and algorithm related solutions
• 8 years of experience programming in object-oriented languages such as Java, C , Python, Go, C and/or other Functional languages
• Hands on experience developing large-scale observability platforms with an understanding of distributed systems, microservice architecture, pub-sub systems, logging /metrics / tracing platforms
• 3 years of experience in an architect or an equivalent technical leadership position

Preferred Qualifications

• 5 years experience in data collection technologies such as Open Telemetry, cloud APIs, instrumenting infrastructure and application event data
• Excellent communication and interpersonal skills with the ability to effectively articulate complex technical concepts
• Ability to navigate complex decision-making and effectively communicate across teams
• Ability to work independently and collaboratively, leading and mentoring others in observability best practices
• Experience in architecting, building, and running large-scale systems
• Maintainer or contributor of open source projects

Suggested Skills

• OpenTelemetry
• Backend Systems Infrastructure
• OLAP systems

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.

Additional Information

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Experience LevelSenior Level

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