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The team will require learning and using latest AWS technologies including: AWS Dacia, AWS Kinesis, Lambda, SNS, SQS, Server side encryption on DynamoDB using client managed keys, API Gateways, AWS VPC, AWS NLB, Cloud trail, Elastic search, etc.The platform will be designed to support other emerging economies having similar requirements and the role provides a huge opportunity for the developers to build a strong portfolio of patents for Amazon.Key job responsibilities
Key Responsibilities include:-
- Ability to code right solutions starting with broadly defined problems,
- Understand basic Algorithm fundamentals
- Development of code in object oriented languages like C++ and java and build large scale robust distributed systems
2. Learning: We work on a very diverse problem space ranging from client-side innovations to fault tolerant Tier1 distributed systems to working with various industry partners. It involves discussion with multiple partners in payment ecosystem like processors, acquirers, networks like Visa/Mastercard/RuPay/AMEX/Diners and Issuers, which helps to understand end to end functioning of payment industry. We encourage and facilitate rotation of engineers in the team across these areas for multifaceted growth.
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
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