Software Development Engineer Full Time

We’re a V1 startup that leverages advanced machine learning and forecasting techniques to solve supply-demand matching problems across various workforce planning teams (e.g. Consumer Customer Service, AWS, Prime Now etc) and Amazon AWS Customers. This is a strategic initiative for the company with strong buy-in from top management. Our group offers a creative and fast-paced work environment where you’ll invent, build, and launch scalable solutions that directly impact Amazon customers as well as AWS customers.

Amazons Worldwide Capacity Planning (WWCP) product is changing the way how planners predict, optimize and schedule the work force requirements. Work Force Optimization Platform is designed to keep listening for planning inputs like units forecast, projected sales and fulfillment plan from finance, Ops and Supply chain teams respectively. It then automatically forecasts the contacts, creates the headcount plans, agent schedules, calculates the GAP in supply Vs demand and suggests the best options available for the planners – all this with no human intervention. This helps planners take strategic and tactical decisions in minutes than weeks as it is today. The network will also be monitored in Real Time and system will take decisions to fix the issues automatically. Human intervention in the entire process is minimal.

Our growing team in Hyderabad is looking for experienced Software Development Engineers who will extend and improve integration, build features that drive customer adoption, and evolve our systems to scale with rapidly increasing customer demand.

Why would you want to join our team?

If you are passionate about solving hard technical problems in the Optimization of Capacity Planning via Machine Learning and want your work to make an immediate impact in the real world, this is the place for you. We solve problems on par with leading academic research for the benefit of customers who celebrate our feature launches on social media, constantly demand new features, and – through adoption – force us to invent new ways to scale our systems. If going deep to optimize for scale, latency, and resource usage excites you as much as working backwards from the customer to develop features that not only work, but delight, then join us in making Amazon Vibe the most successful Worldwide capacity planning platform on the planet!

What does it take to succeed in this role?

In addition to meeting the technical qualifications, you need to be creative, responsible, and able to dig deep into emerging technologies. Willing to read research papers, but also move quickly to turn ideas into code that solves customer problems. A natural problem solvers, who is able to think about business problems, operational issues, and software architecture in the course of a single conversation. Curious about our customers’ needs and dedicated to turning developers into raving fans. Excited to learn from others while bringing your own novel capabilities and perspectives. Someone who makes the team room both productive and fun to work in.

Basic Qualifications
A solid grounding in Computer Science fundamentals (based on a BS or MS in CS or related field)
Understanding of the tools of the trade, including an understanding of any of modern programming languages (Java / JavaScript / C/C++).
Proven educational track record with sound data structure and algorithm knowledge
Preferred Qualifications
Bachelors/Masters in Computer Science or Engineering
Strong, object-oriented design and coding skills (C/C++ and/or Java preferably on a UNIX or Linux platform)
Knowledge of Perl or other scripting languages a plus
Experience with distributed (multi-tiered) systems, algorithms, and relational databases
Experience in optimization mathematics (linear programming, nonlinear optimization)
Ability to effectively articulate technical challenges and solutions
Deal well with ambiguous/undefined problems; ability to think abstractly
Previous technical internship(s) preferred
Experience in design and development of systems with new Machine Learning models is a big plus.
Good team player with Agility and adaptiveness.