Amazon

Software Development Engineer, GuardDuty

Boston, MA US
Machine Learning Spark Hadoop AWS Deep Learning
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Description
- 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
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Experience with distributed systems, databases, and big data systems (Spark, Hadoop). Experience with security and systems that handle sensitive data. Experience in ML and MLOps in production.

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon GuardDuty is a customer facing threat detection service that protects applications and services running in AWS. The service processes trillions of events and applies advanced analytics and machine learning to detect threats. https://aws.amazon.com/guardduty/.

The Amazon GuardDuty team is looking for a strong software engineer to help build the future of the service. The team interacts with Math PhD's and security researchers to codify security analytics into the service. The researchers use various Machine/Deep Learning algorithms to build new detections for the service. We are innovating new ways of building massively scalable and globally distributed security systems for assisting our customers with security and compliance.

Key job responsibilities
This position is on a new team that you will be joining at its inception and it will have a startup feel. You must enjoy working on complex software systems in a customer-centric environment and be passionate not only about building good software but also ensuring that the same software achieves its goals in operational reality. You will be responsible for the development end-to-end lifecycle, from scoping, planning, conception, design, implementation and testing, to documentation, delivery and maintenance. Provide design reviews for other engineers, including feedback on architecture and design issues, as well as integration, performance and scalability.

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 work to ensure that 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.

About the team
Our team prioritizes work-life balance. Most days, we’re co-located in Seattle, NYC, and Boston. We support new team members. Our diverse experience levels and tenures foster knowledge sharing and mentorship. Senior engineers mentor juniors and engineers from non-traditional backgrounds through one-on-one mentoring and code reviews. We prioritize your career growth by assigning projects that help you develop and take on more complex tasks.

We embrace differences and foster inclusion. We have ten employee-led affinity groups, reaching 40,000 employees globally. Innovative benefit offerings and annual learning experiences, like CORE and AmazeCon, reinforce our culture of inclusion. Our 14 Leadership Principles remind us to seek diverse perspectives, learn, and earn trust.

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