LinkedIn: Sr. Staff Software Engineer, Systems Infrastructure - Observability Engineering Platforms — Bengaluru, KA, India

About LinkedIn

LinkedIn is a professional network used to connect workers, employers and business contacts online. Owned by Microsoft, the company provides member profiles, job listings, hiring tools and content for professional audiences. Outside the United States, India is among its largest member markets, and the company maintains an engineering and product development presence in Bengaluru alongside sales and business teams in Indian cities.

The position and its setting

LinkedIn lists Sr. Staff Software Engineer, Systems Infrastructure - Observability Engineering Platforms in Bengaluru, KA, India, under reference REF26541F. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Engineering
• Employment type: Full-time
• Employer listing date: 19 October 2026
• Brands: LinkedIn

Responsibilities and work described

• As part of our 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
• Collaboration: with development teams to ensure consistent and comprehensive instrumentation across all systems
• Development: and maintain libraries, frameworks, and tools to simplify instrumentation
• 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
• Architect, build, run, and scale real-time storage systems that ingest, process, index, and retain observability data at massive scale - spanning ingestion, stream processing, and long-term retention
• 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 bias for action, providing architectural guidance and mentorship to up-level the engineering organization.\
• Development: 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

Essential requirements and candidate background

• 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

Experience and professional background

• 12+ years of software design and development experience, with 5+ years in a technical leadership position
• 10+ years of experience with object-oriented design, coding, and testing patterns, and languages such as Java, C++, Go, or Python
• 8+ years building and optimizing large-scale distributed storage systems and client-server architectures

Preferred experience and additional strengths

• Experience designing and operating large-scale storage and OLAP systems, columnar, time-series, key-value, or log-structured stores such as ClickHouse, Apache Pinot, Apache Druid, BigQuery, Cassandra, or Elasticsearch, with a grasp of indexing, compaction, replication, and tiered retention
• 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
• Work with multiple stakeholders, understand product priorities, think big-picture, and solve core problems efficiently
• 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
• Backend Systems Infrastructure
• Distributed Systems (Storage)
• Large-Scale Data Storage
• Software Design

Location, schedule and contract conditions

• Work arrangement: Hybrid
• Advertised location: Bengaluru, KA, India

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Sr. Staff Software Engineer, Systems Infrastructure - Observability Engineering Platforms vacancy is not an offer for reference REF26541F; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to LinkedIn

Applications follow the official employer page linked below.

Open the official LinkedIn posting below and match the title and reference REF26541F.

Compare your qualifications and experience with the essential conditions for the Bengaluru, KA, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• Java
• C++
• AI/ML
• stakeholder management
• AI
• communication