Do you want to be in the center of the service that make it easier for thousands of developers and DevOps engineers all over the world to characterize the performance and behavior of their micro-service based systems when running within AWS?
AWS X-Ray enables AWS customers to instrument their services and trace requests through their code as well as the underlying AWS services on which they may run. It generates a service graph of all contributing service elements, and within the easy to use console experience allows the diagnosis of high API latencies and/or errors by descending into the details of any individual request. Our mission is to deliver and scale such a service to very large numbers of customers each of whom may be running at extremely large request rates, and perform sophisticated time-series analysis in near real-time.
The AWS X-Ray team is looking for talented software developers who are passionate about distributed system challenges at scale, want to work on some of the cutting-edge technologies like machine learning, anomaly detection, causality analysis, and work backwards to define the optimal user experience.
Our team puts a high value on work-life balance. Most days, we work in the Seattle office, but we are also flexible when people occasionally need to work from home.
This position involves on-call responsibilities, typically for one week every two months. We don't like getting paged in the middle of the night or on the weekend, so we strive to ensure our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don't get paged for the same issue twice.
Mentorship & Career Growth
Our team is dedicated to supporting new team members. Our team has a broad mix of experienced levels and Amazon tenures, and we are 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.
Inclusive Team Culture
Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes we do get to build a really cool service, but we also think a big reason for that is inclusive and welcoming culture we try to cultivate every day.
We are looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers; someone who will help us amplify the positive & inclusive team culture we've been building.
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.
• 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.
• Master's degree in Computer Science.
• Familiarity with developing web services and applications using caches, databases (e.g. DynamoDB), and API development.
• Ability to discuss trade-offs of different storage technologies, and indexing of semistructured datasets.
• Experience in operating high-throughput, highly scalable software systems in production environments.
• Experience in time series analysis and pattern identification in large sets of semi-structured data.
• A self-starter who is motivated to take ownership of projects.
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, visit US Disability Accommodations.