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Sr. Software Engineer

LinkedIn · Posted Oct 26

Professional networking, job search, recruiting, online learning, and B2B marketing services

Bengaluru, Karnataka, IndiaFull-timeHybridSenior Level5+ years₹55.0L–₹95.0L yearly70 applicants
Professional NetworkEmploymentSaaSSocial MediaInternetPublic Company
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About the role

Talent Productivity Engineering at LinkedIn builds enterprise platforms, applications, and data solutions that power Talent Acquisition, Human Resources, Finance, and Benefits. The team designs and operates secure, scalable data platforms and workforce analytics using modern cloud and data engineering practices. This Senior Software Engineer will design and modernize enterprise Data Warehouse and Lakehouse solutions on Azure, build data pipelines and integrations, and drive architectural and engineering excellence.

What you will do

  • Design, develop, and maintain scalable enterprise Data Warehouse and Lakehouse solutions using Azure Databricks, Azure Data Factory, Azure Data Lake Storage, and SQL Server.
  • Build and optimize batch and incremental data pipelines using Python, PySpark, SQL, and distributed data processing frameworks.
  • Develop secure and reliable data integrations with enterprise applications using REST/SOAP APIs, SFTP, and database connectivity.
  • Implement data modeling, data quality, metadata management, lineage, and governance capabilities to deliver trusted, analytics-ready datasets.
  • Design and maintain highly available, secure, and performant data platforms with monitoring, automation, and disaster recovery capabilities.
  • Drive engineering excellence through architectural decisions, CI/CD, automated testing, performance optimization, and technical mentorship.

Skills used in this role

PythonPySparkSQLApache SparkAzure DatabricksAzure Data FactoryAzure Data Lake Storage Gen2SQL ServerT-SQLDelta LakeRESTSOAPSFTPFastAPIFlaskETL/ELTCI/CDData ModelingData WarehousingData GovernanceMicroservicesLLMsRAGVector SearchPower BI

What the employer is looking for

  • Bachelor's degree in Computer Science or a related technical discipline, or equivalent practical experience.
  • 5+ years of experience designing and developing enterprise data warehouses, data pipelines, or distributed data processing solutions.
  • Hands-on programming experience with Python, PySpark, and SQL.
  • Experience with cloud-based data platforms, ETL/ELT frameworks, and relational databases.
  • Experience designing and developing backend services, APIs, or applications using modern software engineering principles.
  • Understanding of data modeling, distributed systems, software architecture, data structures, algorithms, and production engineering practices.

Preferred qualifications

  • Experience with Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, and Delta Lake.
  • Experience with Microsoft SQL Server, including T-SQL, performance tuning, and high-availability architectures.
  • Experience integrating enterprise applications through REST/SOAP APIs, SFTP, and secure data connectivity.
  • Experience developing Python-based services and APIs using frameworks such as FastAPI or Flask.
  • Familiarity with modern application architectures, microservices, asynchronous processing, and event-driven systems.
  • Familiarity with LLMs, embeddings, RAG architectures, vector search, and enterprise AI application development.
  • Knowledge of data governance, metadata management, data lineage, and data quality frameworks.
  • Experience with Azure security, CI/CD, automated testing, monitoring, and production support.
  • Familiarity with Azure Analysis Services, Power BI, and real-time data processing technologies.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About LinkedIn

LinkedIn is the world's largest professional network, connecting over a billion users globally to create economic opportunity. Owned by Microsoft, the platform provides tools for job searching, professional networking, B2B marketing, sales intelligence, and online learning. Through its data graph, it bridges the gap between global talent and enterprise organizations.

Industry
Professional Network
Company size
10001+ employees
Founded
2003-05-05
Location
Sunnyvale, California, USA
Funding stage
Public Company

Funding

Public Company · $103.5M raised

Sequoia CapitalGreylockBessemer Venture PartnersEuropean Founders FundMicrosoft
  • 2003-11-01Seed$4.7M
  • 2004-08-01Series A$10M
  • 2007-01-15Series B$53M
  • 2008-06-01Series C$22.7M
  • 2014-05-15Post Ipo Debt$500M

Leadership

DS
Dan Shapero

Chief Executive Officer

RR
Ryan Roslansky

EVP of LinkedIn and Microsoft Office

MS
Mohak Shroff

President of Platforms and Digital Work

JL
Jordan Levy

Senior Vice President & Chief Financial Officer

ML
Mark Lobosco

Senior Vice President & Chief Business Officer

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