Manager, Software Engineering (Application + Data Science)
LinkedIn
Full-time
On-site
Bengaluru Karnataka India
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
We are looking for a passionate, entrepreneurial engineering leader to join the Bangalore engineering team. In this role, you will be part of LinkedIn's India initiatives team responsible for leading a team of engineers to develop new products and services and scale existing LinkedIn's products for the fast-growing Indian market. You will also partner with other teams across the company to ensure a consistently awesome experience across platforms and products.
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:
- 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.
- You will be an org-wide innovator and build/leverage the most advanced practices of research, machine learning, experimentation + causal inference, data engineering and statistical modeling to deliver significant business impact
- You will analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning solutions to drive member value and customer success.
- You will engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights
Qualifications
Basic Qualifications:
BS/BA in Computer Science or related technical discipline
8+ years of industry experience
1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training
2+ years experience in managing Data Science teams
Preferred Qualifications:
10+ years of relevant work experience
Strong leadership with track records in building high performing Data Science and Data Engineering teams, driving projects, applying strategic thinking, building thought leadership, and influencing senior leaders and executives
Demonstrated ability to work with peers in engineering and product management across teams to set technical and product direction
Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives
Experience with manipulating massive-scale structured and unstructured data
Experience with Hadoop or other MapReduce paradigms, and associated languages such as Pig, Hive, etc.
Proficiency in SQL and at least one programming language (e.g., R, Python, Scala).
Experience influencing strategy through data-centric presentations.
Suggested Skills:
Java
Distributed Systems
Large Scale systems
Relational Databases
ETL
Data Manipulation
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.
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
We are looking for a passionate, entrepreneurial engineering leader to join the Bangalore engineering team. In this role, you will be part of LinkedIn's India initiatives team responsible for leading a team of engineers to develop new products and services and scale existing LinkedIn's products for the fast-growing Indian market. You will also partner with other teams across the company to ensure a consistently awesome experience across platforms and products.
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:
- 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.
- You will be an org-wide innovator and build/leverage the most advanced practices of research, machine learning, experimentation + causal inference, data engineering and statistical modeling to deliver significant business impact
- You will analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning solutions to drive member value and customer success.
- You will engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights
Qualifications
Basic Qualifications:
BS/BA in Computer Science or related technical discipline
8+ years of industry experience
1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training
2+ years experience in managing Data Science teams
Preferred Qualifications:
10+ years of relevant work experience
Strong leadership with track records in building high performing Data Science and Data Engineering teams, driving projects, applying strategic thinking, building thought leadership, and influencing senior leaders and executives
Demonstrated ability to work with peers in engineering and product management across teams to set technical and product direction
Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives
Experience with manipulating massive-scale structured and unstructured data
Experience with Hadoop or other MapReduce paradigms, and associated languages such as Pig, Hive, etc.
Proficiency in SQL and at least one programming language (e.g., R, Python, Scala).
Experience influencing strategy through data-centric presentations.
Suggested Skills:
Java
Distributed Systems
Large Scale systems
Relational Databases
ETL
Data Manipulation
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.