Sr. Staff Software Engineer, Systems Infrastructure - Observability Streaming

Linkedin3; Bengaluru; Hybrid; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work model

Based in Bangalore

Job summary

LinkedIn in Bengaluru is seeking a senior Observability Platform Architect to design and scale real-time telemetry systems. You will own end-to-end direction, collaborate with cross-functional teams, and drive high‑volume, low‑latency observability services that power global applications.

You will mentor engineers, champion reliable architectures, and shape the roadmap for scalable instrumentation across our stack in a hybrid, Bangalore‑based setup.

Qualifications

• 12+ years of industry experience in software design and development.
• Experience in object-oriented languages (Java, C++, Python, Go, or similar).
• Experience building large-scale streaming and real-time processing systems.
• Deep understanding of distributed systems and microservice architecture.
• 5+ years in an architect or technical leadership position.

Responsibilities

• Architect, build, run, and scale real-time streaming systems at massive scale.
• Own the technical direction of the observability platform end to end.
• Scale distributed systems; manage trade-offs across processing models and storage tiers.
• Mentor engineers and drive architectural governance across teams.

Skills

Distributed systems

Java

C++

Python

Software design

Technical leadership

Problem solving

Communication

Education

BA/BS in Computer Science or related field

Tools

Kafka

Flink

Samza

Beam

Spark Streaming

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.

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 Leadersh

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.