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(s). We are one of the very few companies globally with a custom-built platform to support billions of telemetry signals ingested/processed in realtime 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:
Architect, build, run, and scale real-time streaming systems/real-time processing systems at massive scale.
Own the technical direction of the observability platform end to end - the collection, processing/enriching telemetry events and evolve it so insight keeps pace with the growth of our systems.
Scale distributed systems and make the hard architectural trade-offs - across processing models, data delivery guarantees, storage tiers, and the balance of cost, latency, and durability - while writing code and delivering with speed and quality.
Serve as a role model and coach for engineers, with a strong bias for action, providing architectural guidance and mentorship to up-level the engineering organization.
Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. Produce high-quality infrastructure that is thoroughly tested, code reviewed & resilient.
Partner with teams across the company to drive adoption of the platform(s), turning their instrumentation and diagnostic needs into measurable improvements in engineering productivity.
Work closely with leadership and product/technology partners to define the roadmap and surface opportunities to improve observability.
Navigate and resolve cross-team conflicts to align stakeholders and foster a cohesive, collaborative engineering culture.
Basic Qualifications:
BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience
12+ years of industry experience in software design and development, with problem-solving and system-design skills
12+ years of experience programming in object-oriented languages such as Java, C++, Python, Go, C and/or other Functional languages
Experience building and operating large-scale streaming and real-time processing systems, including stateful processing and data delivery guarantees
Hands on experience developing large-scale observability platforms with a deep understanding of distributed systems, microservice architecture, Pub-Sub systems, logging /metrics / tracing platforms
5+ years of experience in an architect or technical leadership position
Preferred Qualifications:
8+ years building and optimizing large-scale distributed processing systems and client-server architectures.
Experience with stream processing and messaging technologies such as Kafka, Flink, Samza, Beam, or Spark Streaming, including stateful stream processing, windowing, watermarks, and delivery semantics.
Depth in observability systems across metrics, logs, traces, and events, including high-cardinality ingestion and low-latency query at scale.
Experience building systems with AI and using AI-powered coding agents and assistants in everyday development to design, implement, test, and review software at a higher velocity and quality bar.
Ability to work with multiple stakeholders, understand product priorities, think big-picture, and solve core problems efficiently.
Excellent communication skills, with the ability to articulate complex technical concepts and drive technical strategy across teams and geographies.
Maintainer or contributor of open source projects
Suggested Skills:
Technical Leadership
Distributed Systems (Streaming)
Real-Time Data Processing
Software Design
Cross-organizational Collaboration
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.
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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
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Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.