Staff Software Engineer - Maintenance Automation

LinkedIn; Mountain View (CA); Hybrid; USD 147,000 - 240,000; Full time

Job summary

LinkedIn is seeking a Staff Software Engineer to join the Maintenance Automation team. The position involves developing solutions that automate maintenance tasks, enhancing efficiency across thousands of libraries. Ideal candidates will have extensive experience in software development and architectural design, particularly in Python and Java.

Benefits

Generous health and wellness programs

Flexible work environment

Stock options

Annual performance bonus

Qualifications

• 4+ years experience in software design, development, and algorithms.
• Proven coding skills in object-oriented programming languages.
• Experience in designing and building infrastructure and web services.

Responsibilities

• Scale distributed applications and make architectural trade-offs.
• Produce high quality software that is unit tested and continuously integrated.
• Drive best engineering practices and enhance engineering productivity.

Skills

Technical Leadership

Architectural Mastery

Code Review and Quality Assurance

Advanced Security Practices

Mentoring and Knowledge Sharing

Education

BA/BS Degree in Computer Science

Tools

Python

Java

JavaScript/AJAX

SQL

TCP/IP

Job description

Staff Software Engineer - Maintenance Automation

Staff Software Engineer - Maintenance Automation

Direct message the job poster from LinkedIn

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.

The Maintenance Automation team helps engineers by automating routine maintenance tasks, giving them more time to focus on important business goals and new ideas. We build and manage LinkedIn's AI-powered engineering assistant, using agentic workflows and rapid experimentation to create smarter automation. Our team ensures these workflows runs across thousands of libraries and services, making maintenance reliable and efficient at scale.

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.

This role will be based in Sunnyvale, CA.

Responsibilities:
· You will scale distributed applications, make architectural trade-offs applying 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.

Basic Qualifications:
· BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
· 4+ years experience in software design, development, and algorithm related solutions.
· 4+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C, or Ruby.

Preferred Qualifications:
· BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD 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 or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming.
· Experience building web applications and services with IDEs, ant, junit, etc.
· Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management.

Suggested Skills:
· Technical Leadership
· Architectural Mastery
· Code Review and Quality Assurance
· Advanced Security Practices
· Mentoring and Knowledge Sharing

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.

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 - $240,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits.

Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [e-mail] and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Industries

  Technology, Information and Internet and IT Services and IT Consulting

Referrals increase your chances of interviewing at LinkedIn by 2x

Sign in to set job alerts for “Staff Software Engineer” roles.

Software Engineer, AI Intern (Summer 2025)

Mountain View, CA $125,400.00-$188,100.00 2 weeks ago

Software Engineer, AI Platform - New Grad

Menlo Park, CA $56.25-$173,000.00 3 weeks ago

Software Engineer 4 - TV & Web Player Platform

Software Engineer I (Intern) United States

San Jose, CA $44,000.00-$130,000.00 1 day ago

Sunnyvale, CA $167,000.00-$185,500.00 5 hours ago

Full Stack Software Engineer - Post-training

Palo Alto, CA $180,000.00-$440,000.00 2 weeks ago

Full Stack Software Engineer (L4), Product Localization Engineering

San Jose, CA $133,900.00-$242,000.00 1 week ago

San Jose, CA $113,400.00-$206,300.00 2 weeks ago

Software Engineer(s) - New Grad (Fall 2025 Graduation)

Frontend Software Engineer - University Graduate 2025

San Mateo, CA $120,000.00-$280,000.00 2 weeks ago

(General Hire) Software Engineer Graduate (Advertisement Team) - 2025 Start (BS/MS)

San Jose, CA $113,500.00-$250,000.00 8 hours ago

eCommerce Full Stack Developer (React / Shopify) - On Site

New College Grad Software Engineer, Software Engineering Development (Apps)

San Jose, CA $92,735.00-$131,300.00 1 week ago

Software Engineer, Google Distributed Cloud

Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago

Sunnyvale, CA $117,000.00-$234,000.00 5 days ago

Palo Alto, CA $152,400.00-$228,700.00 10 hours ago

Menlo Park, CA $157,000.00-$230,000.00 2 weeks ago

San Jose, CA $100,500.00-$173,250.00 35 minutes ago

San Jose, CA $93,200.00-$170,600.00 5 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.