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Amazon

Senior Software Development Engineer, Transactional Data Storage

Amazon is hiring a Senior Software Development Engineer, Transactional Data Storage in Dublin, Ireland. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
  • Tools and skills the posting cites include distributed systems, database and storage engine.
  • Level classifies it as a senior role.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

Senior Software Development Engineer to design and operate the distributed shared storage layer for Amazon's core OLTP database.

distributed-systemsdatabasestorage-engineoltpcloud-storage
Do you want to work deep inside a database that processes billions of transactions every day across Amazon's consumer and digital businesses? Our team builds the data platforms at the core of Amazon, storing customer orders, catalog and product information, shopping carts, device data, and hundreds of other business-critical datasets. The performance and availability of our platform is critical to the reliability of the Amazon brand, and we run some of the largest fleets and highest-throughput services at the company.

We are looking for a Senior Software Development Engineer who understands distributed systems at scale and wants to shape the shared storage layer of our next-generation online transaction processing (OLTP) database. You will design how committed transactions are materialized to cloud object storage, how space is reclaimed as data is superseded, and how data nodes read back through a storage-format-agnostic contract. You will partner with Amazon Web Services (AWS) to leverage cloud-native technologies and contribute innovations back to the broader market. If you thrive on solving ambiguous, high-impact problems from design to delivery, we would love to hear from you.

Key job responsibilities
- Design, develop, and operate the distributed shared storage layer that holds the durable copy of every committed write for Amazon's mission-critical OLTP database platform.
- Collaborate with Principal Engineers and peers to define technical solutions for complex problems such as storage engine design, durability and consistency protocols, read-path caching, and backpressure under load.
- Own end-to-end delivery of features, from writing design documents and implementing production-quality code to driving operational readiness and deployment.
- Mentor engineers through design and code reviews, pairing on hard problems, and helping them take on larger pieces of the system while raising the team's quality bar.
- Build monitoring, alarming, and automation that keep our high-throughput services reliable, and participate in on-call rotations to troubleshoot issues and drive root-cause resolution.

A day in the life
You will split your time between deep individual work like writing code, reviewing designs, and prototyping storage-layer changes, and collaborative sessions with your team and partner teams. Expect regular design reviews where you debate trade-offs around durability, latency, and cost, along with weekly operational reviews that keep the platform healthy. Some weeks you will be heads-down implementing a new compaction strategy; other weeks you will pair with a teammate to debug a subtle consistency issue in production.

About the team
Our team sits within the Transact organization and is responsible for the storage engine layer that underpins Amazon's OLTP platform that powers all Amazon Stores. We are a group of engineers who care deeply about correctness, performance, and operational rigor. We partner closely with AWS service teams, sharing innovations in both directions. Our focus over the coming years is scaling the next-generation storage layer to meet Amazon's growing transaction volume while improving efficiency and reducing costs, and we are looking for engineers who want to help shape that future.

Basic qualifications

- Bachelor's degree
- Experience in professional, non-internship software development
- Experience in development in the last 3 years
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

Preferred qualifications

- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems
- Knowledge of databases, storage and big data concepts
- Experience with performance and scalability testing

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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.

How we rate this

Senior Software Development Engineer, Transactional Data Storage at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

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Skills and AI tools this role asks for

Distributed SystemsDatabaseStorage EngineOltpCloud Storage

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

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Questions you could be asked

  1. Tell me about a project where distributed systems was part of your work. What did you do?
  2. Tell me about a project where database was part of your work. What did you do?
  3. Tell me about a project where storage engine was part of your work. What did you do?
  4. Tell me about a project where oltp was part of your work. What did you do?
  5. Tell me about a project where cloud storage was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Distributed Systems, Database, Storage Engine, Oltp, and Cloud Storage. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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