Staff Software Engineer
Mountain View, CA, United States · Staff+ · Contract
Sponsorship not specified$152k-$248kDetected 33 days ago
PythonJavaReactHTMLCSSDjangoDistributed SystemsBackend DevelopmentFull-Stack DevelopmentCode ReviewMySQLGrafanaSite Reliability EngineeringAPI DevelopmentRESTAirflowData EngineeringData ScienceData VisualizationAI OrchestrationIncident ResponseLeadershipMentoring
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.
- Documents in alternate formats or read aloud to you
- 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.
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
- Policy Statement
- As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
- 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.
Benefits
- LinkedIn's DC Hardware Automation & Tooling Development team builds the host lifecycle, hardware health, and data center capacity management tools that power Infrastructure Engineering at LinkedIn.
- Beyond shipping features, you'll own the reliability, scalability, and operational health of the services you build, applying SRE disciplines to keep our production infrastructure healthy at scale.
Company info
- https://legal.linkedin.com/candidate-portal.
- 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 and describe the specific Accommodation requested for a disability-related limitation.
- 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.
- Our customers reach across all Infra Engineering-Hardware Capacity, Cloud, Network, Systems, Asset Management, and enterprise DC-Ops/Engineering.
Equal opportunity
- 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.
- Having interviews in an accessible location
- Being accompanied by a service dog
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
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This listing is sourced directly from LinkedIn's careers page and normalized into a canonical job model.