AmazonSalesforce Developer, Amazon Web Services (AWS)
Amazon is hiring a Salesforce Developer, Amazon Web Services (AWS) in Seattle, United States. It pays $129k-$175k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Salesforce, Apex and Lightning Web Components.
- Level classifies it as a mid-level role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Design and build Salesforce systems integrated with LLM-powered workflows to automate contracting and deal management.
Salesforce is at the center of how AWS moves deals from opportunity to signed, executed contract, and large language models are redefining how we support that work. This is your chance to help shape that transformation. You will work across the full software development lifecycle, writing high-quality Apex and LWC code, contributing to system and data-model design, and collaborating with partners across the AWS partner business, deal desk, legal, finance, and solutions architecture teams.
Key job responsibilities
- Design and build Salesforce applications and APIs (Apex, Lightning Web Components (LWC), Flows, and platform integrations) that power contracting, approval workflows, and deal management for one of the largest field sales organizations in the world, covering the full lifecycle from design through deployment and operations.
- Develop and optimize approval-flow and workflow-orchestration logic on the Salesforce platform, including multi-stage routing, delegation, escalation, and gate enforcement, that keeps contracting fast, compliant, and fully auditable.
- Build and maintain integrations between Salesforce and external systems, synchronizing deal and account data across systems at scale and improving data quality and coverage.
- Implement LLM-powered workflows and automation that reduce manual effort for the sales field and generate actionable insights from complex contracting and account data.
- Participate actively in code reviews, providing constructive feedback that raises engineering standards, and mentor other engineers through documentation, training, and pairing sessions.
- Identify root causes of operational issues and drive permanent fixes, while collaborating with stakeholders across deal desk, legal, finance, the AWS partner business, and solutions architects to ensure your solutions meet real customer needs.
A day in the life
You start by reviewing pull requests from teammates (Apex classes and LWC components), offering detailed feedback that helps everyone grow. Mid-morning, you dig into a feature in the approval-flow logic, writing Apex and pairing with a colleague to work through a tricky integration between Salesforce and a downstream AWS services. After lunch, you join a design discussion with solutions architects about how an LLM-powered workflow can reduce manual steps for the field team. Later, you investigate an operational alert on a contracting flow, trace it to its root cause, and ship a lasting fix. You move between focused coding and cross-team collaboration with partners in deal desk, legal, and the partner business.
About the team
The AFX teams sit within AWS Sales, Marketing, and Global Services and build the infrastructure that supports the sales field and AWS customers at massive scale. This team owns the Salesforce-based contracting and approval-workflow platform, the systems that take a deal from opportunity to signed, executed contract. Our closest partners span deal desk, legal, finance, the AWS partner business, and solutions architecture organizations. We are investing heavily in LLM-driven tooling and large-scale data processing to redefine how go-to-market and contracting teams operate. If you want to build Salesforce systems that directly shape how AWS engages and contracts with its customers worldwide, this is the team for you.
Basic qualifications
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with CI/CD pipelines build processes
- Bachelor's degree
- Experience working in an Agile environment
Preferred qualifications
- Experience with distributed systems at scale
- Bachelor's degree in computer science or equivalent
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 - 129,200.00 - 174,800.00 USD annually
How we rate this
Salesforce Developer, Amazon Web Services (AWS) at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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?
- How have you integrated a large language model into a production application?
- Tell me about a project where workflow orchestration was part of your work. What did you do?
- Tell me about a project where api integration was part of your work. What did you do?
- Tell me about a project where contracting workflows was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Software Development, LLM Integration, Workflow Orchestration, API Integration, and Contracting Workflows. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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