Manager, Software Engineering (Distributed Systems)

Staples India; Chennai District; On-site; INR 3,800,000 - 7,000,000; Full time

Job summary

Staples India Business Innovation Hub Private Limited is seeking a Manager, Software Engineering (Distributed Systems). This leadership role will guide the design, delivery, and modernization of scalable, low-latency distributed services within Inventory Management and related platforms.

You will empower autonomous teams, set technical direction, and collaborate with product, data, and cloud teams to replace legacy systems, reduce tech debt, and improve time-to-market.

Qualifications

• 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).
• Experience building applications on one or more public Cloud Platform (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.

Skills

12+ years software engineering

Distributed systems

Cloud platforms (Azure/AWS/GCP)

Greenfield product development

Servant leadership

Low-latency & scale

Team building at scale

Education

Bachelor's degree in Computer Science/Engineering

Master's degree preferred

Tools

Cloud platforms (Azure/AWS/GCP)

Job description

Staples India Business Innovation Hub Private Limited | Permanent

Manager, Software Engineering (Distributed Systems)

At Staples our Digital Solutions team is more than a traditionalIT organization. We are a team of passionate, collaborative, agile, inventive, customer-centric, results-oriented problem solvers. We are intellectually curious, love advancements in technology and seek to adapt technologies to drive Staples forward. We anticipate the needs of our customers and business partners, and deliver reliable, customer-centric technology services. If you want to be on the front lines, driving one of the greatest technology transformations of the 21st Century, you should join our team!

Inventory Management engineering teams enable scalable, efficient, and intelligent inventory management, third-party selling, and 3PL services through our expertise in business domains and technologies. We are currently taking a platform transformation approach to consolidate, modernize, and simplify legacy applications by standardizing interfaces, building micro-services, and/or integrating with 3rd party software that’ll effectively reduce tech debt and vendor footprint, and improve time to market and service levels.

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'sdegree in Computer Science, Engineering, or a related field; Master'sdegree preferred


• 12+years of professional software engineering experience, including management of team and direct staff.


• Priorexperience in building greenfield software products – inception to launch and beyond.


• Servant-leaderwho has built autonomous teams and grew the teams to operate at scale.


• Excellentprogramming skills and computer science fundamentals (OO Design, datastructures & algorithms, problem solving)


• Experiencebuilding applications on one or more public Cloud Platform (e.g., Azure, AWS, or GCP)


• Experiencedesigning and implementing highly reliable, fault-tolerant distributedapplications with a heavy emphasis on low-latency and scale


• Demonstratedsuccess in designing large scale big data systems that perform complexevent processing.