Do you want to make a global impact? Do you want to contribute to a cloud computing evolution?
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
AWS Lambda (https://aws.amazon.com/lambda) is changing the way that companies big and small think about computing in the cloud. Lambda functions offer customers a "serverless" way to create applications, an approach that lets customers turn application code into scalable, fault-tolerant production systems without requiring every developer to become an expert in distributed systems, deployment technologies, and infrastructure management.
We are looking for smart software engineers who want to work at cutting edge scale and help make Lambda ever faster and cheaper.
As an Engineer in this team you will have the opportunities to design, develop and operate new systems. You will be part of a dynamic team of engineers where creative thinking and team work are highly valued.
To succeed in this role, you need to be creative, responsible and able to dig deep into serverless computing technology. An ideal candidate will be passionate about developing large-scale distributed systems, optimizing Lambda Function Invoke workflow, and building services based on AWS serverless offerings. You will have high standards for yourself and everyone you work with; you will drive engineering best practices throughout your team and you will be constantly looking for ways to make the systems you own better. You have great communication skills and enjoy working in a fast-paced, collaborative team environment.
Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren't focused on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced lifeboth in and outside of work.
Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
• 2+ years of non-internship professional software development experience
• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
• Bachelors degree in Computer Science or a related field
• Solid experience in data structures and algorithms
• Experience in designing and developing large-scale, distributed software applications, tools, systems and services.
• Experience building and operating online services and fault-tolerant distributed systems
• Experience working with AWS technologies such as S3, DynamoDB and AWS Lambda
• Knowledge of virtualization, container, linux technologies