Qureos Mentor

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the world&rsquo;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&rsquo;re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that&rsquo;s built on trust, care, inclusion, and fun &ndash; 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.
 
 
 We are looking for a Talent Account Executive to join our search and staffing team in tapping into potential client opportunities and generating new business within our Search and Staffing vertical.
 
 
 You will be responsible for responding to inbound inquiries as well as blanketing your region with outbound activity. You will be responsible for responding to inbound inquiries as well as blanketing your region with outbound activity. You will strategically approach target companies and teams, identify the best technology options and sell corporate solutions for recruitment. Although you strive to meet and exceed quota, you will always act in the best interest of the client.
 
 
 
 Qualifications
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Prospect relentlessly to build pipeline and build strong personal relationships with prospects
 </li>
 <li>
 Create reliable forecasts and be completely transparent with management on the pipeline status
 </li>
 <li>
 Close new business consistently at or above quota level
 </li>
 <li>
 Develop and execute on a strategic plan for the territory and document and distribute competitive information
 </li>
 <li>
 Invest in colleagues and give coaching and advice when you see an opportunity for improvement
 </li>
 <li>
 Work to develop and circulate the set of best practices that will be the foundation of this team
 </li>
 <li>
 Listen to the needs of the market and share insights with product and marketing team
 </li>
 <li>
 Be proactive about solving problems even if it&rsquo;s outside of your area and be ready to take on additional initiatives and responsibilities as they emerge
 </li>
 <li>
 Seek out opportunities to be a leader and do everything you can to help the company achieve its larger objectives
 </li>
 <li>
 Travel required (approximately 40% of the time)
 
 
 
 </li>
 </ul>
 Basic Qualifications:
 
 
 <ul>
 <li>
 3+ years of applicable sales experience
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Solution selling
 </li>
 <li>
 Ability to multithread and sell to different business stakeholders
 </li>
 <li>
 Experience in selling SaaS solutions
 </li>
 <li>
 Experience in handling CRM
 </li>
 <li>
 Demonstrate ability in managing CXO relationships and large enterprise accounts
 </li>
 <li>
 Knowledge of software contract terms and conditions with the ability to create fair transactions
 </li>
 <li>
 Strong negotiation and accurate forecasting skills
 </li>
 <li>
 Demonstrated ability to find, manage and close high-level business in an evangelist sales environment
 </li>
 <li>
 Ability to assess business opportunities and use data to inform decision making and persuade others
 </li>
 <li>
 Ability to manage a large number of prospect situations simultaneously while positioning company products against direct and indirect competitors
 
 
 
 </li>
 </ul>
 Suggested skills :
 
 
 <ul>
 <li>
 Forecasting
 </li>
 <li>
 Negotiation skills
 </li>
 <li>
 Communication skill
 
 
 
 </li>
 </ul>
 
 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 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.
 
 
</div>

Talent Account Executive

<div>
 
 Company Description
 
 
 
 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.
 
 
 
 Job Description
 
 
 
 This role will be based in Bangalore, India.
 
 
 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.
 
 
 As part of our world-class software engineering team, you will be building the next-generation observability platforms for LinkedIn, including but not limited to: instrumenting applications and infrastructure to collect meaningful metrics, logs, and traces; Collaborate with development teams to ensure consistent and comprehensive instrumentation across all systems; Develop and maintain libraries, frameworks, and tools to simplify instrumentation. You will work and learn among the best, putting to use your passion for building and scaling observability platforms and your passion for writing code that performs at an extreme scale - come join our Observability Engineering team and share the knowledge with a broader community, while making a real impact within Linkedin.
 
 
 The Observability Experience (OE) group is charted to simplify and drive observability for LinkedIn. The Observability Platforms (sub team of OE) is responsible for billions of operational metrics ingested every minute within LinkedIn. The Observability Experience team builds and maintains the observability platform responsible for metrics, logs, and traces. We create intuitive UI visualizations and effective troubleshooting tools using React, Grafana, and Go. Our mission is to help engineers quickly understand system behavior, triage issues, and resolve incidents with confidence.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work on both front-end and API layers for internal observability tools and applications - delivering incremental impact by driving innovation while iteratively building and shipping software at scale
 </li>
 <li>
 Work with a world class team of software and systems engineers building visualizations that provide innovative insights into the observability ecosystem of LinkedIn
 </li>
 <li>
 Effectively communicate with the team, partners and stakeholders. Collaborate with partners and internal customers to iterate and enhance current applications and features
 </li>
 <li>
 Develop &amp; contribute to coding efforts, producing high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration
 </li>
 <li>
 Improve the observability and understandability of various systems with a focus on improving developer productivity and platform usability
 </li>
 <li>
 You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 BA/BS Degree in Computer Science or a related technical discipline, or equivalent practical experience
 </li>
 <li>
 8+ years of programming experience in a programming language such as Golang or Python
 </li>
 <li>
 Experience with Full Stack Web Development using JavaScript frameworks like React
 </li>
 <li>
 Experience with building APIs using programming languages like Golang/Python etc.
 </li>
 <li>
 Experience building web applications and services at scale
 </li>
 <li>
 Hands on experience developing large-scale observability experiences with a good understanding of distributed systems, microservice architecture etc.
 </li>
 <li>
 3+ years of experience in a technical leadership position
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Masters/PhD in Computer Science or a related technical discipline, or equivalent practical experience
 </li>
 <li>
 Experience in building infrastructure, working with data, and web services on a large scale
 </li>
 <li>
 Full-stack software engineering experience, including development of APIs
 </li>
 <li>
 Good knowledge of TypeScript, JavaScript and React.js
 </li>
 <li>
 Excellent communication and interpersonal skills with the ability to effectively articulate complex technical concepts
 </li>
 <li>
 Ability to navigate complex decision-making and effectively communicate across teams
 </li>
 <li>
 Ability to work independently and collaboratively, leading and mentoring others in observability best practices
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 React.js, Javascript, TypeScript
 </li>
 <li>
 Golang/Python
 </li>
 <li>
 Large-scale infrastructure
 
 
 
 </li>
 </ul>
 
 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 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.
 
 
</div>

Staff Software Engineer, Full-stack (Observability)

<div>
 
 Company Description
 
 
 
 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.
 
 
 
 Job Description
 
 
 
 This role will be based in Bangalore, India. 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.
 
 
 As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 You will own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
 </li>
 <li>
 You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
 </li>
 <li>
 You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance
 </li>
 <li>
 You will effectively communicate with the team, partners and stakeholders.
 </li>
 <li>
 You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team
 </li>
 <li>
 You will work closely with the open-source community to participate and influence cutting edge open-source projects (e.g., Apache Iceberg)
 </li>
 <li>
 You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale
 </li>
 <li>
 You will diagnose technical problems, debug in production environments, and automate routine tasks
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
 </li>
 <li>
 8+ years of industry experience in software design, development, and algorithm related solutions.
 </li>
 <li>
 8+ years experience programming in object-oriented languages such as Java, Python, Go and/or Functional languages such as Scala or other relevant coding languages
 </li>
 <li>
 Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Hadoop (or similar) Ecosystem (Gobblin, Kafka, Iceberg, ORC, MapReduce, Yarn, HDFS, Hive, Spark, Presto)
 </li>
 <li>
 Experience with industry, open-source projects and/or academic research in data management, relational databases, and/or large-data, parallel and distributed systems
 </li>
 <li>
 Experience in architecting, building, and running large-scale systems
 </li>
 <li>
 Experience with open-source project management and governance
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Distributed systems
 </li>
 <li>
 Backend Systems Infrastructure
 </li>
 <li>
 Java
 
 
 
 </li>
 </ul>
 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 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.
 
 
</div>

Staff Software Engineer, Systems Infrastructure

<div>
 
 Company Description
 
 
 
 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.
 
 
 
 Job Description
 
 
 
 
 Team Overview:
 
 
 
 Join us to transform the way the world works. The Products and Services Marketplace (PSM) organization in Product Engineering is looking for a Staff Technical Program Manager (TPM) to join our team to drive product and technology programs. In this role, the candidate will manage high-priority, high-profile programs and work closely with engineering and product leaders to drive critical programs in the organization. Successful candidates will have a solid track record of program management and will have demonstrated excellent technical, leadership, organizational and communication skills. In addition, the right candidate will care deeply about the products they work on, are natural motivators, cross-functional relationship builders, and champions for driving the right level of process to ensure smooth and predictable program execution in a fast-paced innovative environment.
 
 
 Our Product and Services Marketplace (PSM) vision is to become the definitive B2B commerce platform for all organizations worldwide, empowering marketers, sellers, buyers, users and customers to drive better outcomes for themselves and their businesses. The PSM strategy recognizes that we will continue to deliver value to our LinkedIn Marketing Solution (LMS) and LinkedIn Sales Solutions (LSS) businesses, and that the lion's share of our investment will be going to directly drive growth in these two areas. This role will be based in Bangalore, India. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business.
 
 
 
 Location:
 
 
 
 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.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Own successful delivery of large, high impact and highly cross-functional programs by leveraging deep technical expertise to develop detailed plans with key milestones and goals, identify and mitigate risks, solve for dependencies, remove impediments, and ensure timely and smooth program launches
 </li>
 <li>
 Manage multiple concurrent projects/programs
 </li>
 <li>
 Develop strong partnerships with engineering and product management leaders to drive focus on strategic and tactical program objectives
 </li>
 <li>
 Drive teams and individuals in planning and executing roadmaps, releases, and work backlogs
 </li>
 <li>
 Drive bi-annual roadmap and resource planning activities and deliverables
 </li>
 <li>
 Ensure cross-team alignment on goals, priorities, roadmap, schedules, communications, and releases to all stakeholders
 </li>
 <li>
 Provide reporting on project status, risks, issues and mitigation plans
 </li>
 <li>
 Identify gaps, unblock issues, and drive alignment between groups and functions
 </li>
 <li>
 Create a collaborative work environment that fosters shared understanding, transparency, mastery, autonomy, innovation and continuous learning
 </li>
 <li>
 Coach and mentor others in the best practices of modern technical planning and execution.
 </li>
 <li>
 Possess business strategy understanding and product intuition
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Basic Qualifications:
 
 
 
 <ul>
 <li>
 8+ years of full-time technical program management experience within an engineering or technical team
 </li>
 <li>
 B.S./B.A. degree in a technical field, or equivalent practical experience
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Demonstrated success managing multiple major and concurrent projects/programs
 </li>
 <li>
 Demonstrated success driving the development program of world-class online products
 </li>
 <li>
 Significant experience working with software engineering leadership, technical teams, individual contributors and external clients
 </li>
 <li>
 Knowledge of complex technical ecosystems and adequate technical depth
 </li>
 <li>
 Ability to build collaborations and create a community of leadership
 </li>
 <li>
 Be a thought leader; someone who can help advance strategy and challenge others in the organization to make important improvements
 </li>
 <li>
 Demonstrated conflict resolution skills combined with strong negotiation ability delivered with a high level of influence and professionalism
 </li>
 <li>
 Agile coaching and practitioner experience (Scrum, Kanban) with multiple teams.
 </li>
 <li>
 Experience in managing all phases of end-to-end product development
 </li>
 <li>
 Knowledge of Internet client/server social networking applications and systems
 </li>
 <li>
 Hands-on software development experience
 </li>
 <li>
 Experience working on ATS integrations
 
 
 
 </li>
 </ul>
 
 Suggested Skills:
 
 
 
 <ul>
 <li>
 Program Management
 </li>
 <li>
 Agile Project Management
 </li>
 <li>
 Cross-functional team leadership
 </li>
 <li>
 Risk Management
 </li>
 <li>
 Software Product Development
 
 
 
 </li>
 </ul>
 
 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 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.
 
 
</div>

Staff Technical Program Manager

<div>
 
 Company Description
 
 
 
 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.
 
 
 
 Job Description
 
 
 
 Join us to transform the way the world works.
 
 
 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.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
 </li>
 <li>
 You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.
 </li>
 <li>
 You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
 </li>
 <li>
 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.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
 </li>
 <li>
 4+ years experience in software design, development, and algorithm related solutions.
 </li>
 <li>
 4+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C, or Ruby.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 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.
 </li>
 <li>
 Experience in designing and building infrastructure and web services at large scale.
 </li>
 <li>
 Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.
 </li>
 <li>
 Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming.
 </li>
 <li>
 Experience building web applications and services with IDEs, ant, junit, etc.
 </li>
 <li>
 Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management.
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Technical Leadership
 </li>
 <li>
 Architectural Mastery
 </li>
 <li>
 Code Review and Quality Assurance
 </li>
 <li>
 Advanced Security Practices
 </li>
 <li>
 Mentoring and Knowledge Sharing
 
 
 
 </li>
 </ul>
 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 $152,000 - $248,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years &amp; 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.
 
 
 
 Additional Information
 
 
 
 
 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 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. Examples of reasonable accommodations include but are not limited to:
 
 
 <ul>
 <li>
 Documents in alternate formats or read aloud to you
 </li>
 <li>
 Having interviews in an accessible location
 </li>
 <li>
 Being accompanied by a service dog
 </li>
 <li>
 Having a sign language interpreter present for the interview
 
 
 
 </li>
 </ul>
 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.
 
 
</div>

Staff Software Engineer - Applications

<div>
 
 
 Company Description
 
 
 
 
 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.
 
 
 
 
 Job Description
 
 
 
 
 This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA.
 
 
 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.
 
 
 
 Job Description
 
 
 
 As a staff member of the Compute Infrastructure team at LinkedIn, you will be charged with building the next-generation infrastructure and platforms for LinkedIn. This is a unique opportunity to work on a high-profile, high-impact ongoing project that will touch every aspect of our engineering organization. Specifically, the LinkedIn Kubernetes Infrastructure team provides an on-premises Kubernetes platform for the entire company. The team provides capability to efficiently create Kubernetes clusters on-demand, build multi-clusters solutions, automate upgrades, and intelligently detect and remediate cluster health, etc.
 
 
 In this role, you will be responsible for designing and implementing solutions that will enable LinkedIn to scale its Compute Infrastructure to meet the demands of a rapidly growing user base. This will involve working closely with a team of engineers to develop and operate solutions that are robust, scalable, and efficient. You will also need to work collaboratively with cross-functional teams and be comfortable operating in a fast-paced, dynamic environment.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 You will own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
 </li>
 <li>
 You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
 </li>
 <li>
 You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance
 </li>
 <li>
 You will communicate with the team, partners and stakeholders.
 </li>
 <li>
 You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team
 </li>
 <li>
 You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale
 </li>
 <li>
 You will diagnose technical problems, debug in production environments, and automate routine tasks
 
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
 </li>
 <li>
 4+ years of industry experience in software design, development, and algorithm related solutions.
 </li>
 <li>
 4+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages
 </li>
 <li>
 Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 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
 </li>
 <li>
 Experience in architecting, building, and running large-scale distributed systems
 </li>
 <li>
 Experience with Kubernetes (or similar) Ecosystem
 </li>
 <li>
 Experience with Kubernetes controller development, automating cluster management
 </li>
 <li>
 Golang coding experience
 </li>
 <li>
 Experience with industry, open source, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice
 </li>
 <li>
 Experience with open-source project management and governance
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Distributed Systems
 </li>
 <li>
 Golang
 </li>
 <li>
 Technical Leadership
 
 
 
 </li>
 </ul>
 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 $170,000 to $277,000. 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.
 
 
 
 
 Additional Information
 
 
 
 
 
 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 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. Examples of reasonable accommodations include but are not limited to:
 
 
 <ul>
 <li>
 Documents in alternate formats or read aloud to you
 </li>
 <li>
 Having interviews in an accessible location
 </li>
 <li>
 Being accompanied by a service dog
 </li>
 <li>
 Having a sign language interpreter present for the interview
 
 
 
 </li>
 </ul>
 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.
 
 
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Staff Software Engineer - Compute Infrastructure

<div>
 
 Company Description
 
 
 
 LinkedIn is the world&rsquo;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&rsquo;re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that&rsquo;s built on trust, care, inclusion, and fun &ndash; where everyone can succeed.
 
 
 Join us to transform the way the world works.
 
 
 
 Job Description
 
 
 
 As a Staff Forecasting &amp; Data Analyst, you will lead the analytical and modeling efforts that inform long-term workforce strategy and investment decisions. This role sits at the intersection of data science, business strategy, and operational planning, blending quantitative rigor with strategic foresight to align the deployment of human and financial resources with the Trust&rsquo;s competitive strategy, efficiency plans, and budget.
 
 
 You&rsquo;ll partner cross-functionally with Operations, Product, Data Science, Finance, and Engineering to design forecasting frameworks that anticipate change&mdash;whether driven by product innovation, policy shifts, or market dynamics&mdash;and translate those insights into actionable workforce strategies.
 
 
 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.
 
 
 Responsibilities:
 
 
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 Own long-range forecasting models that project volume, capacity, and productivity across Trust lines of business.Maintain quarterly cross-correlation analysis tied to company growth and cross-functional initiatives.
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 Analyze historical and emerging trends in product, policy, and user behavior to anticipate operational impact.
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 Develop strategic scenarios that inform resource allocation, efficiency targets, and workforce investments.
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 Partner with cross-functional leaders to align planning assumptions with business priorities, budget constraints, and growth opportunities.
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 Translate data into strategy: distill complex modeling outcomes into clear, actionable recommendations for executives.
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 Design scalable data infrastructure and forecasting tools in partnership with Data Science and Engineering.
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 Automate data integration and updates in operational systems (e.g., NICE IEX, internal data tables).
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 Monitor guardrail metrics (utilization, forecast accuracy, productivity) to ensure sustainable operational health and early detection of risk.
 </li>
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 Mentor analysts across the Resource Planning team, uplifting the analytical bar and fostering a culture of strategic thinking and data excellence.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications:
 
 
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 Bachelor's degree in Engineering, Business, Statistics, Operations Management, Economics, or related field.
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 8+ years of experience in forecasting, workforce planning, or predictive analytics within large-scale, global operations.
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 Expertise in forecast modeling techniques (e.g., time-series, regression, scenario simulation) using SQL, Python, R, or similar tools.
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 Background in business fundamentals with the ability to connect data insights to strategic decisions and operational levers.
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 Proven ability to simplify complex systems, identify leading indicators, and communicate implications clearly to executives.
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 Experience collaborating across Product, Finance, Data Science, and Operations organizations.
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 Exceptional communication and storytelling skills with an ability to influence at senior levels.
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 A passion for efficiency, scalability, and sustainable growth.
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 Good communication skills to collaborate with cross-functional teams and present business insights effectively.
 </li>
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 Detail-oriented and organized, with the ability to handle large datasets and manage multiple priorities and tasks in a fast-paced environment.
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 Ability to challenge incoming requests, value, and impact, driving data-driven decisions.
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 Flexibility and adaptability to respond to changing business needs and priorities.
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
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 <li>
 Strong predictive analytical and strategic thinking skills with experience in long-range forecasting and scenario planning.
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 Ability to translate complex data into clear business insights and executive recommendations.
 </li>
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 Skilled at identifying trends, risks, and opportunities that inform workforce and investment strategies
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 Proficient in SQL, Excel, and Power BI, Tableau; working knowledge of Python or R for statistical analysis and automation.
 </li>
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 5+ years of experience in forecasting methodologies (time-series, regression, simulation).
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 Comfortable working with large data sets and partnering with Data Science and Engineering on model design.
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 Excellent communication, influence, and storytelling skills for senior audiences.
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 Passion for simplification, scalability, and continuous improvement.
 </li>
 <li>
 Kafka
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 <li>
 GitHub Knowledge
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 Experience with workforce management software and tools
 </li>
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 Knowledge of workforce management principles, operations, and industry best practices.
 
 
 
 </li>
 </ul>
 Suggested Skills:
 
 
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 <li>
 Data Analytics &amp; Automation
 </li>
 <li>
 Statistical &amp; Quantitative Analysis
 </li>
 <li>
 Forecasting Modeling &amp; Techniques
 </li>
 <li>
 Communication &amp; Storytelling
 </li>
 <li>
 Decision Support &amp; Problem Solving
 
 
 
 </li>
 </ul>
 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 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.
 
 
</div>

Staff Forecasting & Data Analyst

Join LinkedIn and explore 39   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.