Software-engineer Trabajos a distancia y desde casa en mountain ∙ Página 6

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.

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 Mountain View, CA.

The Developer Platforms and Experience (DPX) organization helps accelerate R&D velocity and drive product innovation across LinkedIn. Our vision is to create capabilities that drastically reduce the iteration time for new features while dramatically increasing the stability and quality of all software at LinkedIn. At the core of this vision is our unwavering commitment to enhancing the developer experience.

Within DPX, the CI Platform team is responsible for providing an efficient and delightful software delivery pipeline that LinkedIn developers use every day. Specifically, this team owns LinkedIn's CI infrastructure, which we are migrating from our in-house infrastructure to GitHub Actions. This team also owns LinkedIn's current Microrepo infrastructure, which is undergoing a redesign to move closer to a monorepo-like structure.

As a result, we will need to redesign our core engineering system to support the repo structure we envision. As part of the CI Platform team, you will get an opportunity to influence, transform, and create an amazing experience for developers at LinkedIn. You will identify, develop, and lead strategic investments to make development iterations faster and make step function improvements in the lives of developers.

This spans multiple areas including:

• Providing tools and infrastructure that create delightful development experience
• Providing and supporting application frameworks that empower LinkedIn engineers to build member-facing products
• Provide actionable insights that leverage data and metrics
• Provide tools and data that help LinkedIn teams listen to their customers; and most importantly, deliver reliable and scalable infrastructure.

You will have the opportunity to engage the industry-wide developer community and contribute to open-source software as well.

Responsibilities:

• You will build CI infrastructure and tools that enable all LinkedIn developers to build services for LinkedIn members
• You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.
• You will design, develop, test, and deploy infrastructure capable of handling massive amounts of requests with high reliability and scalability
• You will leverage your technical expertise to mentor engineers and provide leadership on resolving complex technology issues

Basic Qualifications:

• BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience.
• 2+ years of industry experience in software design, development, and large-scale software engineering
• Experience programming in object-oriented and/or functional programming languages (like Java/Python/C/C++/Scala/etc.)

Preferred Qualifications:

• 4+ years of relevant work experience
• MS or PhD in Computer Science or related technical discipline
• Experience with developing Developer tools and infrastructure including development and code collaboration environments, CI/CD pipelines, and measuring software development productivity and quality.
• Have been actively involved in creation and execution of technical strategy and roadmap
• Experience with architectural patterns of large, high-scale systems
• Shipped several large-scale projects with multiple dependencies across teams
• Have actively coached and mentored team members in their careers
• Experience with Microservices or Monorepos

Suggested Skills:

• CI/CD Expertise
• Experience working within the developer productivity space
• Software Design
• Cross-organizational collaboration

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 $125,000 to $206,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more 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 [email protected] 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.

San Francisco Fair Chance Ordinance ​

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

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 ​

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.