LinkedIn

LinkedIn

Staff Software Engineer

Mountain View, CA, United States · Staff+ · Contract

Sponsorship not specified$152k-$248kDetected 120 days ago
PythonJavaReactHTMLCSSDjangoDistributed SystemsBackend DevelopmentFull-Stack DevelopmentCode ReviewMySQLGrafanaSite Reliability EngineeringAPI DevelopmentRESTAirflowData EngineeringData ScienceData VisualizationAI OrchestrationIncident ResponseLeadershipMentoring

Stay score

odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 110 green-card filings in this occupation, 98% were for a worker who already held the job.

Green-card follow-through: 88%

Of 120 labor certifications old enough to have been used, 15 expired without the employer filing the next step. Median time from filing to decision: 493 days.99% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Reported a layoff in this occupation

In a green-card filing decided 2026-06-17, this employer stated it had laid off workers in Software Developers (CA) during the preceding six months. 3 such filings on record.Describes the period before that filing, not necessarily today. Unlike WARN notices this is occupation-specific and federal.

Files H-1B transfers

233 transfer filings in the last year, covering 1907 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Join us to transform the way the world works.
  • This role will be based in Mountain View, CA.
  • At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business.

Responsibilities

  • Design and build scalable, performant, maintainable, distributed systems for managing our production infrastructure.
  • Apply SRE disciplines to the systems you own: define and monitor SLOs/SLIs, instrument services for observability (metrics, logging, tracing), reduce toil through automation, and continuously improve reliability, capacity, and performance.
  • Build and operate ETL pipelines and data systems that turn raw hardware, capacity, and lifecycle signals into reliable, queryable datasets-and surface them through dashboards and reports that drive operational and planning decisions.
  • Participate in on-call rotation, lead incident response, and drive blameless postmortems to systemic resolution.
  • Collaborate with our development teams and client stakeholders to define and build systems that meet both user and organizational needs.
  • Communicate conceptual ideas, design rationale, and the specifics of a user-centered design process.
  • Create and maintain a UX & UI pattern library that is reusable across multiple tools/apps to ensure consistent behaviors for common designs.
  • 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.

Requirements

  • BA/BS Degree in Computer Science or related technical discipline
  • 5+ years of software development in one or more object-oriented languages such as Java or Python
  • 5+ years of hands-on experience with semantic HTML, CSS and object-oriented JavaScript.

Nice to have

  • 5+ years of relevant work experience
  • Experience in Python development using frameworks like Django and Flask.
  • Experience with relational, document-oriented and time series databases such as MySQL and Redis.
  • Experience with data science and analytics disciplines-data modeling, transformation, and deriving insights from large datasets.
  • Experience with large-scale distributed systems and client-server architectures.
  • Experience automating production infrastructure at Internet-scale companies.
  • Hands-on experience with SRE practices: observability tooling, SLO/SLI definition, incident management, capacity planning, and reliability engineering.
  • Ability to diagnose and rectify performance issues at any layer of a multi-tier architecture.

Skills

  • Data Pipelines / Data Engineering
  • Technical Leadership / Mentorship
  • Data Center Host Lifecycle Management & Capacity Planning
  • Data Visualization / Dashboards
  • AI-Assisted Development / Agentic Coding
  • LinkedIn is committed to fair and equitable compensation practices.
  • This may be different in other locations due to differences in the cost of labor.
  • For more information, visit https://careers.linkedin.com/benefits.
  • Equal Opportunity Statement
  • 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.
  • Examples of reasonable accommodations include but are not limited to:

Compensation

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

Company info

  • Our customers reach across all Infra Engineering-Hardware Capacity, Cloud, Network, Systems, Asset Management, and enterprise DC-Ops/Engineering.
  • Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer.
  • Design backend models and APIs for use by our customers, and support our customers in their use of them.
  • Provide technical leadership, driving best practices to improve productivity, visibility, and craftsmanship across the organization, as well as among our code-producing customers.

Equal opportunity

  • 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.
  • 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 accommodations@linkedin.com 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.

Visa & Work Authorization

  • in, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class
Apply directly at LinkedIn →Create a free account for alerts like thisView LinkedIn immigration profile

This listing is sourced directly from LinkedIn's careers page and normalized into a canonical job model.