LinkedIn: Software Engineer, Systems Infrastructure — Bengaluru, KA, India

LinkedIn lists a Software Engineer, Systems Infrastructure opening in Bengaluru, KA, India. The position is listed as full-time. The job description covers Kubernetes, AI, compliance.

Recruitment overview

OrganisationLinkedIn
Post / roleSoftware Engineer, Systems Infrastructure
DepartmentEngineering
Employment typeFull-time
Notification / job IDREQ25547
Job locationBengaluru, KA, India
Work arrangementHybrid
Educational qualificationSee the employer’s role-specific qualification criteria
Experience required2+ years of industry experience in software design, development, and algorithm related solutions
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

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 Software Engineer, Systems Infrastructure in Bengaluru, KA, India, under reference REQ25547. 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: 22 October 2026
  • Brands: LinkedIn

Responsibilities and work described

  • 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
  • Team Blurb: We are a Systems Infrastructure team within LinkedIn’s Reliability Infrastructure organization, solving reliability problems at LinkedIn scale
  • We build foundational systems and platforms across observability, production management, automation, and safe operation of large-scale infrastructure
  • The work sits at the intersection of distributed systems and reliability engineering, with an emphasis on removing operational toil and creating scalable, resilient ways to run production
  • Our goal is to make reliability inherent in the infrastructure and tools that engineers use every day
  • Work: and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale
  • LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc
  • Design, build and operate one of the online data infra platforms that power all of Linkedin's core applications
  • Participate in design and code reviews to maintain our high development Standards
  • Partner with peers, leads and partners to define, scope, prioritize, and build impactful features at a high velocity

Essential requirements and candidate background

  • Basic Qualifications
  • BA/BS Degree in Computer Science or related technical discipline, or related practical experience
  • 2+ years of industry experience in software design, development, and algorithm related solutions
  • Experience programming in Object-oriented languages such as Java, Python, Go, and/or Functional languages such as Scala

Experience and professional background

  • Experience: industry, open-source projects and/or academic research in large-data, machine learning systems, such as Spark, TensorFlow, PyTorch, or XGBoost

Preferred experience and additional strengths

  • Experience: building machine learning platforms at large scale
  • Familiarity: techniques used in big data and AI
  • Good knowledge in distributed data processing technologies
  • Suggested Skills
  • Distributed systems
  • Backend Systems Infrastructure
  • Java
  • 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

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 Software Engineer, Systems Infrastructure vacancy is not an offer for reference REQ25547; 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 REQ25547.

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
  • Spark
  • Kafka
  • Kubernetes
  • APIs
  • AI/ML
  • AI
  • compliance
  • machine learning

Important links

Official notification / job descriptionOpen official page
Online application portalOpen official page

Read the complete official notice before applying. Availability and requirements can change.

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