Sr. Staff Software Engineer, Systems Infrastructure Observability Engineering Platforms

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:

• 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.

• Own the technical direction of the observability platform end to end - the collection processing and storage of metrics logs traces and events that engineers across the company rely on - 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.

Qualifications :

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 strong 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:

• 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.

• 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 strong 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.

• 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 

• Backend Systems Infrastructure

• Distributed Systems (Storage)

• Large-Scale Data Storage

• Software Design

• Cross-organizational Collaboration

Additional Information :

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.

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 Data Privacy Notice for Job Candidates

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: 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 Data Privacy Notice and Compliance Posters for Job Candidates 

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: Work :

No

Employment Type :

Full-time