Job Summary
Experience:
10.00 - 15.00 Years
Industrial Type:
IT-Software/Software Services
Location:
Chennai
Functional Area:
IT Software - Application Programming / Maintenance
Designation:
G5 - Manager - Application Development
Key Skills:
Java,j2ee,springboot,microservices,kafka,mongodb
Educational Level:
Graduate/Bachelors
Job Post Date:
2026-06-04 11:41:35
Stream of Study:
Degree:
BCA, BE-Comp/IT, BE-Other, BSc-Comp/IT, BSc-Other, BTech-Comp/IT, BTech-Other, ME-Other, MSc-Comp/IT
Company Description
We’re more than simply paper, ink, and toner. We provide the supplies and services that thousands of businesses around the world need to succeed. We’re the experts in technology and conferencing equipment, cleaning products, furniture, and even breakroom items like snacks and coffee, too. (After all, innovation requires plenty of fuel!) This is a company of more than 13,000 smart, insightful experts who believe in the power of what can be and are driven to make business easier for our customers.
Job Description
Your Role
We are looking for a dynamic engineering leader to help reimagine our engineering teams and the systems from the ground up. The Software Engineering Manager of Distributed Systems will primarily focus on 6 core pillars of the engineering management i.e., People, Execution, Technology, Engineering, Delivery, and Innovation.
Requirements
Qualifications
The Skills You Bring
• Bachelor`s degree in Computer Science, Engineering, or a related field; Master`s degree preferred
• 12+ years of professional software engineering experience, including management of team and direct staff.
• Prior experience in building greenfield software products – inception to launch and beyond.
• Servant-leader who has built autonomous teams and grew the teams to operate at scale.
• Excellent programming skills and computer science fundamentals (OO Design, data structures & algorithms, problem solving)
• Experience building applications on one or more public Cloud Platform (e.g., Azure, AWS, or GCP)
• Experience designing and implementing highly reliable, fault-tolerant distributed applications with a heavy emphasis on low-latency and scale
• Demonstrated success in designing large scale big data systems that perform complex event processing.
