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Software Development Engineer, RDS Backups
- Vancouver, BC, Canada
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Job details
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
Key job responsibilities
You will have the opportunity and be responsible for designing, and developing various disaster recovery and data protection features regardless of the engine across various topologies (in-region, cross-region, cross-account, cross-zone). What you own is load-bearing for every production database on Amazon RDS and Amazon Aurora. When the next real disaster-recovery event happens, the code you wrote is what gets customers their data back.
This is an area that requires solving the hardest engineering challenges in distributed systems at massive scale. As a customer-facing AWS service, our solutions have to be solid, scalable, efficient, and highly fault tolerant. You will be responsible for all aspects of engineering, including development, testing, and deployment of these services. AWS operates large-scale, mission-critical workloads, so you need to be comfortable taking ownership of the operational excellence of your service.
You'll work cross-team with other RDS and Aurora teams (storage, workflow orchestration, DB engine, RDS security) and will also have the opportunity to collaborate cross-org with other AWS Services (EBS, S3, AWS Backup).
Finally, you're excited by the opportunity to learn about and help solve our customers' challenges. In order to break new ground, we'll need to resolve ambiguity and innovate on behalf of our customers. You understand that being passionate about an idea is different than taking it personally, and you believe that debate makes strong ideas even stronger.
About the team
RDS Backups is a Vancouver-based team inside AWS's Relational Database Service organization. Every RDS and Aurora customer depends on our features, from a startup running a single RDS instance to enterprises running complex and multi-region disaster recovery for their most regulated workloads. Our engineers own features end-to-end across control plane, data plane, and platform features. This includes but not limited to customer facing APIs, workflow implementation, integration with each database engine, and operational excellence. Basic Qualifications: - 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
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Bachelor's degree or equivalent Preferred Qualifications: - 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 owning distributed systems that hold customer data with durability, consistency, and recovery as first-class properties.
- Experience with AWS services at depth, especially Amazon EBS, Amazon S3, AWS KMS, Amazon DynamoDB, AWS Lambda, and Amazon ECS, or comparable large-scale systems.
- Track record of leading multi-engineer, multi-quarter technical initiatives.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.
The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, BC, Vancouver - 114,800.00 - 191,800.00 CAD annually
More about this job
Responsibilities
Design and develop disaster recovery and data protection features for Amazon RDS and Aurora across various topologies. Own the end-to-end engineering process, including development, testing, and operational excellence for mission-critical distributed systems.
Requirements
Requires 3+ years of professional software development experience and 2+ years of system design or architecture experience. A bachelor's degree or equivalent is required, with a preference for candidates experienced in large-scale distributed systems and AWS services.
Skills
- Distributed Systems
- Software Design
- System Architecture
- Cloud Computing
- Data Protection
- Disaster Recovery
- API Development
- Testing
- Deployment
- Operational Excellence
- Scalability
- Fault Tolerance
- Source Control Management
- Continuous Deployment
- Code Reviews
Benefits
- Health Insurance
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Prescription Insurance
- Basic Life Insurance
- AD&D Insurance
- Deferred Profit Sharing Plan (DPSP)
- Paid Time Off
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
- Data & Analytics
Keywords
- AWS
- RDS
- Aurora
- Distributed Systems
- EBS
- S3
- KMS
- DynamoDB
- Lambda
- ECS
- Data Durability
- Business Continuity
- Control Plane
- Data Plane
- API
- Software Architecture
- Design Patterns
- Reliability
- Scaling
- Cloud Infrastructure
- Relational Databases
- Agentic AI
- Vancouver
- Software Engineering