AmazonSoftware Dev Engineer II, Technical Content Experience (TCX) Engineering
Amazon is hiring a Software Dev Engineer II, Technical Content Experience (TCX) Engineering in Seattle, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
- Tools and skills the posting cites include Lambda, DynamoDB and software development.
- Level classifies it as a mid-level role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Build and maintain scalable distributed systems and AI-powered software components as a Software Development Engineer.
Amazon is growing, and we need SDEs who move fast, are capable of breaking down and solving complex problems, and have a strong will to get things done. SDEs at Amazon work on real world problems on a global scale, own their systems end to end and influence the direction of our technology that impacts hundreds of millions customers around the world.
In this role, you will own solutions from design and execution through deployment and support, using the best of available tools, including Lambda, DynamoDB, and AI/ML services. You will be responsible for delivering high quality code and optimizing existing systems. You should be invested in helping our customers, understanding that it is important to build practical solutions that are scalable and easy to maintain. Most importantly, you should be comfortable working in a fast-paced environment where delivery of new products and features is very rapid.
The right candidate will possess proven software engineering skills, with experience creating and launching large distributed systems with the help of a team. You are expected to be versatile, able to thrive in a dynamic, entrepreneurial environment and eager to mentor junior engineers. You are comfortable managing competing priorities. Maturity and impeccable judgment are essential. You are data-driven and analytical. You can clearly & effectively communicate with the team on work and technical design (written as well as verbally).
Key job responsibilities
* Design and own technical software AI-powered components that are scalable, performant and easy to maintain.
* Provide guidance on technology choices.
* Drive adoption of engineering best practices.
* Hands on coding.
* Work backwards from customer needs to design technical solutions.
* Solve ambiguous problems
* Invent and simplify existing systems
* Technical mentoring of team members
A day in the life
You will provide mentorship and technical direction to the team, perform design and code reviews, write exemplary code with unit and integration tests, contribute to technical roadmap discussions, perform on call activities (performance enhancements, bug fixes, correction of errors), refactor and deprecate systems, communicate with Product, senior leadership and other stakeholders. Work backwards from the customer on large and ambiguous problems. Invent and Simplify designs, breakdown large problems into smaller ones and incrementally deliver highest quality code along with the team.
About the team
TCX Engineering builds customer-facing experiences to deliver technical documentation for AWS. We innovate, research, experiment and collaborate with product managers to understand our customers’ needs. We partner with software developers to learn the inner workings of AWS services so that we can influence design and the customer experience. We are a catalyst in the successful adoption and implementation of AWS services.
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
- 3+ years of programming with at least one software programming language experience
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 with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
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. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
How we rate this
Software Dev Engineer II, Technical Content Experience (TCX) Engineering at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where software development was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where ai components was part of your work. What did you do?
- Tell me about a project where mentoring was part of your work. What did you do?
- Walk me through how you've used Lambda in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Software Development, Distributed Systems, AI Components, Mentoring, and Lambda. 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.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new software engineering jobs (Uses AI ●●○○ or higher) by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Software Engineering roles that use AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step