Software Engineering Manager, Systems Infrastructure at LinkedIn

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

24 Jun, 26

Salary

0.0

Posted On

26 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Performance Management, Career Development, Design, Architecture, Coding, Technology Roadmap, Coaching, Distributed Systems, API Design, Systems Design, Code Review, Unit Testing, Continuous Integration, Stakeholder Management, Technical Leadership, People Management

Industry

Software Development

Description

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. 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. Observability Platforms maintains the platforms and products for metrics ingestion, storage, retrieval, visualization, alerting, incident creation & escalation, remediation, health-checking and experience platform. We are one of the very few companies globally with a custom-built platform to support billions of metrics ingested at millions of QPS. Responsibilities Manage the performance and career development of a team of engineers, and own significant parts of LinkedIn products that require design, architecture, and coding. Participate with senior management in developing a long-term technology roadmap. Be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship. Work with peers across teams to support and leverage a shared technical stack. Manage teams to scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, review code, and deliver with speediness and quality. Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. Produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. Qualifications Basic Qualifications BS in Computer Science or related field with 8+ years of relevant engineering work experience 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training. Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs Preferred Qualifications 2+ years of management experience in building small to medium-sized teams, demonstrating growth and a track record of successful deliveries. Shipped several large-scale projects with dependencies across multiple teams. Built and delivered on successful cross-functional partnerships across multiple teams. Been actively involved in creation and execution of technical strategy and roadmap. Actively coached, mentored and grew team members in their careers. Track record in partnering with recruiting to hire and build incredible engineering teams. Suggested Skills Technical Leadership People Management Stakeholder Management 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. Workplace Type: Hybrid Career Track & Grade: MR3/9 Department: Engineering

Responsibilities

The role involves managing the performance and career development of engineers while owning significant parts of LinkedIn products requiring design, architecture, and coding, alongside participating with senior management in developing a long-term technology roadmap. Responsibilities also include scaling distributed applications, making architectural trade-offs, reviewing code, and delivering high-quality, reliable, user-centric applications.