Sr. Enterprise Engineer

LinkedIn

Bengaluru

Hybrid

INR 2,800,000 - 6,000,000

Full time

3 days ago
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Benefits offered by this job

Health and wellness programs
Time off for employees

Job summary

LinkedIn is seeking a highly skilled Sr Engineer for the Enterprise Innovation team to design for the Future of Work. You will shape the next generation of scalable, AI-enabled platforms and enterprise applications that power productivity at LinkedIn.

This role emphasizes system design, performance, and reliable delivery for a global workforce. You will collaborate with product managers and dependent teams to negotiate trade-offs, mentor engineers, and apply AI tools across the SDLC.

Qualifications

  • BS (or higher) in Computer Science or related field.
  • 4+ years of industry experience.
  • Experience designing and building infrastructure and web services at large scale.
  • Proven coding skills in Python, Java or Go, databases and SQL.
  • Experience with relational databases and distributed transaction management.
  • Mentoring junior engineers and leading small to mid-sized projects.

Responsibilities

  • Build distributed enterprise applications and make architectural trade-offs.
  • Develop multi-tier scalable, high-volume, reliable applications.
  • Produce high quality software with unit tests and CI.
  • Provide technical leadership and drive cross-functional programs.
  • Lead execution of complex features and break down requirements.
  • Design scalable, fault-tolerant data models and architectures.
  • Balance tactical work with long-term technical debt management.

Skills

Python
Java
Go
APIs

Education

BS in Computer Science
MS/PhD in related field

Tools

Slack
Jira
Tableau
Google Cloud

Job 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.

Join us to transform the way the world works.

Job Description

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:

This role is part of the Enterprise Innovation (EI) organization where you will help build the next-generation product and platforms that power LinkedIn’s productivity, collaboration, and data applications. This includes enabling a large portfolio of SaaS systems, ranging from tools like Slack, Figma, Tableau, to member facing systems like Survey Monkey to seamlessly unify with LinkedIn systems. You’ll get to build products and platforms that enable reliable, scalable and AI-first product experiences for LinkedIn employees and members.

You will work on platforms and foundations that establish critical tier 0 or 1 applications, mid-tier services and critical agentic agents and platforms which enable these use-cases within LinkedIn.

We are seeking a highly skilled Sr Engineer to join our Enterprise Innovation (EI) team in designing for the “Future of Work.” You will shape the future of employee productivity through scalable distributed systems, automations, custom products, highly available & reliable systems and intelligent agents that empower employees to work efficiently, and focus on high-impact work. Bring your experience in distributed systems and algorithms, along with a strong systems orientation across concurrency, scalability, performance, caching, queuing, and distributed data storage. You should be excited to work on AI-native development, innovative tools, cutting-edge systems that make an impact at company scale.

Responsibilities

You will build distributed enterprise applications, make architectural trade-offs, apply synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.

You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.

You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.

You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity.

You will lead the technical execution of complex features and mid-sized initiatives, breaking down ambiguous requirements into clear, actionable engineering milestones.

You will design component-level architectures and data models that are scalable, fault-tolerant, and easily maintainable by the broader team.

You are expected to raise the bar for code quality and engineering excellence through rigorous code reviews, comprehensive technical design documents, and proactive technical debt reduction.

You will utilize AI tools throughout the SDLC to boost design, coding, and review productivity, and contribute to shared skills and best practices for the overall team

You will work with product managers, program managers and dependent engineering teams to negotiate technical trade-offs, define service boundaries, and ensure on-time delivery.

You will be responsible for operational tasks and on-call support for the applications and systems.

You will learn to balance tactical day-to-day execution with long-term technical debt management and strategic component roadmapping.

Qualifications

Basic Qualifications

BS (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience.

4+ years of industry experience.

Preferred Qualifications

BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience

Experience in designing and building infrastructure and web services at large scale.

Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.

Proven coding skills in Python, Java or Go, database design and SQL, and/or knowledge of standard libraries used for building enterprise applications.

Experience building web applications and services, build tools, unit tests, etc.

Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management.

Proven track record of mentoring junior engineers and leading small to mid-sized project teams.

Deep expertise in system design, data modeling, concurrency patterns, and performance tuning.

Proven track record of transforming ambiguous business opportunities into autonomous agentic systems capable of long-horizon reasoning and decision-making.

Experience with third party systems like Slack, Jira, Tableau Google Cloud is a plus.

Suggested Skills

API Development

Advanced Programming Skills

Database Management

Performance Optimization and Scalability

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 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: https://www.linkedin.com/legal/candidate-portal.

By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply

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