Staff Software Engineer, Systems Infrastructure (Observability)

LinkedIn; Bengaluru; Hybrid; INR 2,500,000 - 3,500,000; Full time

Benefits offered by this job

Generous health and wellness programs

Time off for employees

Job summary

A leading technology company based in Bangalore seeks a Staff Software Engineer to enhance observability platforms. The role includes designing large-scale systems, mentoring teams, and contributing to open-source projects. A BA/BS in Computer Science with 8+ years in software development is required. This full-time position offers hybrid work arrangements, contributing to an inclusive culture and impactful community initiatives.

Qualifications

• 8+ years of industry experience in software design and development.
• Hands-on experience with large-scale observability platforms.
• 3+ years in an architect or equivalent technical leadership role.

Responsibilities

• Design, implement, and optimize large-scale distributed systems.
• Own the technical strategy for complex requirements.
• Mentor other engineers and build a fast-growing team.

Skills

Programming in object-oriented languages

Software design and development

Large-scale systems architecture

OpenTelemetry

Cloud APIs

Education

BA/BS degree in Computer Science or related field

Tools

Distributed systems

Microservice architecture

Pub-sub systems

Job description

Staff Software Engineer, Systems Infrastructure (Observability)

Company Description
LinkedIn is the world's 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. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun where everyone can succeed.

Job Description
As part of our world‑class software engineering team, you will build the next‑generation observability platforms for LinkedIn, including instrumenting applications and infrastructure to collect meaningful metrics, logs, and traces; collaborating with development teams to ensure consistent and comprehensive instrumentation across all systems; and developing and maintaining libraries, frameworks, and tools to simplify instrumentation. You will work at the Observability Engineering team, sharing knowledge with a broader community while making a real impact within LinkedIn.

Observability Platforms (sub‑team of OE) oversees billions of operational metrics ingested every minute and operates custom-built platforms for metrics ingestion, storage, retrieval, visualization, alerting, incident creation & escalation, remediation, health‑checking, and experience platform.

This role is based in Bangalore, India and is hybrid. The work location is performed both from home and from a LinkedIn office on select days as determined by business needs.

Responsibilities

• Own the technical strategy for broad or complex requirements with forward‑looking approaches that solve large open‑ended problems.
• Design, implement, and optimize the performance of large‑scale distributed systems with security and compliance in mind.
• Improve the observability and understandability of various systems, focusing on developer productivity and system sustainability.
• Communicate effectively with the team, partners, and stakeholders.
• Mentor other engineers, define a challenging technical culture, and help build a fast‑growing team.
• Work closely with the open‑source community to participate in and influence cutting‑edge open‑source projects.
• Deliver incremental impact by driving innovation while iteratively building and shipping software at scale.
• Diagnose technical problems, debug in production environments, and automate routine tasks.

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, or other functional languages.
• Hands‑on experience developing large‑scale observability platforms with an understanding of distributed systems, microservice architecture, pub‑sub systems, and logging/metrics/tracing platforms.
• 3+ years in an architect or equivalent technical leadership role.

Preferred Qualifications

• 5+ years of experience in data collection technologies such as OpenTelemetry, cloud APIs, instrumenting infrastructure, and application event data.
• Excellent communication and interpersonal skills with the ability to articulate complex technical concepts.
• Ability to navigate complex decision‑making and 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

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.

Global Data Privacy Notice for Job Candidates:
Please follow this link to access the document that provides transparency around how LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Industries

Technology, Information and Internet

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