Software Development Engineer, ML Symphony, ML-Symphony

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon’s network is a key differentiator for Amazon Cloud Computing and Web Services (AWS), enabling the global operation of thousands of applications across millions of servers worldwide. The AWS Networking team develops and operates the network platform for all of Amazon including e-commerce products and cloud computing solutions. This platform is industry-leading for its efficiency, throughput and reliability, and it is critical to the success of hundreds of thousands of AWS customers. We have developed and maintained a wide gamut of tools to help planning/scaling/operating our network seamlessly and automatically. We are now facing the next challenge: providing a software ecosystem capable of amalgamating all tools, operations, procedures in a single manageable, scalable, automated entity. The ideal candidate will be clearly passionate about the large opportunity for software innovation that Amazon’s network presents and about web services in general. This person has thrived and succeeded in delivering high quality solutions in a hyper-growth environment where priorities shift fast. If you're looking to solve challenging technical problems and create great products that protect and enhance customer availability, then we would like to talk to you. At ML-Navigator team we are responsible for Machine Learning network automated support. We are intensively focused in building mechanisms and automation to enable our operations to Zero Touch (ZT) scale/plan/operate our network across all the core networking space. ML-Navigators takes care of all aspects related to Machine Learning network support. In the team you'll find diverse skill-sets, knowledge and experience. We are proud to have information circulate, exchange, confront and be discussed. It's an extremely dynamic environment where you decide the scope of your influence. Network engineers work along with system and software engineers to provide the tooling and the systems to help automate the end to end lifecycle of network devices. We work with other teams that provide infrastructure platform in order do improve them or to find new and more efficient ways of interacting with them. Key job responsibilities In this role, you will be part of a two-pizza team in an org of 100+ engineers. As a software development engineer, you will: Help establish technical direction, foster team culture, grow junior engineers and deliver exciting features to internal and external customers. Take end to end ownership of the software development life cycle. This includes design, testing, deployment and operating Be very hands-on; work with the engineering team to manage the day-to-day development activities by leading architecture decisions, participating in designs, design review, code review, and implementation Champion operational, technical and process improvements Work with your manager and other engineers in delivering to the roadmap Interact with customers to respond to queries, issues, and complaints A day in the life You will have the opportunity to design and implement systems that delight our customers. The technical skills that will make you successful: One or more programming languages such as: Python, Java, Rust, Go, etc. System design Network fundamentals Collaborate with other engineers towards broader organizational goals and projects Collaborate with product and program managers, principal engineers for feature definition and delivery Work with other AWS teams to build innovative solutions that create value for our customers, supporting them in their network deployment activities Contribute to technical designs. About the team We introduced a revolutionary concept in the way we manage networks and own the central point of decision making for any change needed in ML networks. We are constantly in expansion, and keep covering more areas, from deployment to operations, from planning to monitoring. We are in constant contact with our customers and design solution along with them, getting more and more in the networking business. Our impact is evident and measurable in our customers' success, from velocity in deployments to safety in changes and easy of management of the operational life of ML networks.