Senior Software Development Engineer , AWS In-Memory.
Published date: 2024/01/10
- Location: Bengaluru, Karnataka, India
We are looking for highly-motivated and passionate engineers to build our next generation high performance in-memory distributed data storage platform to solve real-time query, transaction and analytics processing for large scale data applications.
As an engineer in our in-memory computing platform team, you will build our next-generation platform that allows developers to build highly available, scalable and high performance applications. We are working to bring some of the assets of RDBMS systems such as SQL and transactions to the rapidly growing world of NoSQL database systems. The software services have unprecedented scale and availability requirements. You will lead the software development of large-scale distributed in-memory storage platform; in Java, C/C++ and other languages using open source technologies like Redis, Memcached, and Amazon proprietary technologies. This includes software applications dealing with HTTP/REST services, asynchronous messaging, event-based technologies, real-time failure detection system, horizontal and vertical scaling, management and monitoring plane workflows, auto-remediation, fault tolerance, backup and restore technologies, disaster recovery and prevention. As a member of the In-Memory Platform team, you will also get to work with exceptional team members and be directly involved in growing and mentoring junior engineers on the team.
Our charter is In-memory Databases - comprising of two AWS services - ElastiCache and memoryDB. These are services that enables users to deploy, manage and massively scale in-memory distributed data stores. Customers include many of the world's fastest growing start-ups, using the service to build low latency, high throughput data layer and improve performance of applications using caching. The services helps developers turbo-charge their application performance and simplifies management of Memcached and Redis data stores in the cloud. We heavily use open-source software systems in providing a world-class experience to our customers.
To apply for this role, we are looking for folks with solid analytical, design and problem diagnosis skills, expertise with systems programming, database internals, high-performance applications, distributed systems or service design is a plus. We need our engineers to be versatile, display leadership qualities and be enthusiastic to tackle new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage individual projects priorities, deadlines and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Basic Qualifications
• 4+ years of professional software development experience
• 3+ years of programming experience with at least one software programming language
• 2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems
• Experience as a mentor, tech lead OR leading an engineering team
• Computer Science fundamentals in data structures, algorithm design, problem solving, and complexity analysis
• Ability to reason about system performance and a solid understanding of hardware/software interaction
• Knowledge of one or more modern programming languages such as C++, Java, Scala or Python
Preferred Qualifications
As an engineer in our in-memory computing platform team, you will build our next-generation platform that allows developers to build highly available, scalable and high performance applications. We are working to bring some of the assets of RDBMS systems such as SQL and transactions to the rapidly growing world of NoSQL database systems. The software services have unprecedented scale and availability requirements. You will lead the software development of large-scale distributed in-memory storage platform; in Java, C/C++ and other languages using open source technologies like Redis, Memcached, and Amazon proprietary technologies. This includes software applications dealing with HTTP/REST services, asynchronous messaging, event-based technologies, real-time failure detection system, horizontal and vertical scaling, management and monitoring plane workflows, auto-remediation, fault tolerance, backup and restore technologies, disaster recovery and prevention. As a member of the In-Memory Platform team, you will also get to work with exceptional team members and be directly involved in growing and mentoring junior engineers on the team.
Our charter is In-memory Databases - comprising of two AWS services - ElastiCache and memoryDB. These are services that enables users to deploy, manage and massively scale in-memory distributed data stores. Customers include many of the world's fastest growing start-ups, using the service to build low latency, high throughput data layer and improve performance of applications using caching. The services helps developers turbo-charge their application performance and simplifies management of Memcached and Redis data stores in the cloud. We heavily use open-source software systems in providing a world-class experience to our customers.
To apply for this role, we are looking for folks with solid analytical, design and problem diagnosis skills, expertise with systems programming, database internals, high-performance applications, distributed systems or service design is a plus. We need our engineers to be versatile, display leadership qualities and be enthusiastic to tackle new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage individual projects priorities, deadlines and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Basic Qualifications
• 4+ years of professional software development experience
• 3+ years of programming experience with at least one software programming language
• 2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems
• Experience as a mentor, tech lead OR leading an engineering team
• Computer Science fundamentals in data structures, algorithm design, problem solving, and complexity analysis
• Ability to reason about system performance and a solid understanding of hardware/software interaction
• Knowledge of one or more modern programming languages such as C++, Java, Scala or Python
Preferred Qualifications
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