Salesforce Engineer , Amazon Leo Government

Amazon is hiring a Salesforce Engineer , Amazon Leo Government in Bellevue, United States. It pays $99k-$160k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
The posting mentions Bedrock, RAG and AI agents among its tools and skills.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

Bedrock

ragai-agentsai-automation

Amazon Leo is an initiative to increase global broadband access through a constellation of low Earth orbit (LEO) satellites. Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Amazon Leo will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.

Amazon Leo Government (ALG) supports government customers by developing solutions and capabilities that address their unique connectivity, procurement, and operational requirements.

As a Salesforce Engineer supporting Amazon Leo Government, you will design, develop, and implement scalable CRM and CPQ solutions that enable critical government sales, business development, and contracting processes. You will work extensively with Salesforce Sales Cloud capabilities, including Lead, Account, Contact, and Opportunity Management, CPQ (Configure, Price, Quote), and custom application development using Apex, Lightning Web Components (LWC), Salesforce Flow, and other Salesforce platform technologies.

You will contribute to the development and enhancement of ALG Salesforce applications, including adapting CRM and CPQ data models to a common Salesforce organizational data model, implementing secure data access controls, and enabling government-specific workflows such as RFI/RFP management, opportunity capture, and partner co-selling programs.
You will also contribute to Generative AI-powered CRM solutions using AWS Bedrock, leveraging AI agents, retrieval-augmented generation (RAG), and Salesforce integrations to automate business processes, enhance productivity, and improve customer experiences. The role involves designing and implementing secure, scalable API integrations between Salesforce, AWS services, third-party applications, and internal enterprise systems.

You will collaborate closely with product managers, technical program managers, engineering managers, and software engineers to translate business requirements into robust technical solutions. You will drive engineering best practices across application design, development, testing, CI/CD, security, production support, and operational excellence.
The ideal candidate will pioneer mechanisms and processes to improve engineering velocity, scalability, and reliability while embracing emerging technologies and AI-assisted development practices. This fast-paced team offers significant opportunities for self-motivated engineers who thrive on technical challenges, enjoy building innovative solutions, prioritize exceptional customer experiences, and take ownership of complex initiatives from design through production delivery.

Key job responsibilities
Solution Architecture and Design: Partner with product managers and business stakeholders to design and architect scalable Salesforce solutions supporting ALG Lead, Account, Contact, and Opportunity Management, CPQ, contract management, and government sales processes. Produce technical design artifacts, including system architecture diagrams, solution design documents, API specifications, and data models.

Salesforce Application Development: Design, develop, and enhance ALG Salesforce CRM and CPQ applications using Sales Cloud, Apex, Lightning Web Components (LWC), Salesforce Flow, SOQL, and other platform capabilities. Adapt existing ALG CRM and CPQ data models to a common Salesforce organizational data model while maintaining support for government-specific business processes.

Government Sales and Capture Processes: Design and implement Salesforce capabilities supporting ALG government business development, RFI/RFP management, opportunity capture processes, and partner sales and co-selling programs. Build configurable workflows and applications that support government sales lifecycle requirements.

Salesforce Data Security and Access Management: Design and implement secure Salesforce data access models for ALG, including role hierarchies, sharing rules, permission sets, and other Salesforce security controls. Ensure appropriate access and isolation of government-related CRM and CPQ data within the shared Salesforce organization.

Generative AI and Intelligent Automation: Design and implement AI-powered CRM solutions leveraging AWS Bedrock, including AI agents, retrieval-augmented generation (RAG), and intelligent workflow automation. Integrate GenAI capabilities with Salesforce applications to improve operational efficiency and user productivity.
Enterprise Integrations: Architect and develop secure, scalable API integrations between Salesforce, AWS services, third-party applications, and internal enterprise systems. Apply integration patterns and best practices to ensure reliable data exchange and interoperability.
DevOps, Security, and Operational Excellence: Implement and deploy solutions using CI/CD pipelines, automated testing, monitoring, and enterprise security best practices. Own maintenance, production support, troubleshooting, and ongoing enhancements for ALG Salesforce applications. Optimize system performance and ensure application reliability, scalability, and maintainability.

Technical Leadership: Serve as a technical lead for ALG Salesforce CRM and CPQ applications, driving architecture decisions, conducting code and design reviews, establishing engineering best practices, and proactively managing technical debt.
Cross-functional Collaboration: Work closely with product managers, technical program managers, engineering managers, and software engineers to translate ALG business requirements into technical solutions and deliver complex initiatives from design through production.

Mentorship and Engineering Excellence: Mentor junior and mid-level engineers, provide technical guidance, promote knowledge sharing, and drive continuous improvements in engineering quality and development velocity.

Export Control Requirement
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

About the team
The Amazon Leo Global Business Operations (GBO) team is responsible for driving business strategy, product management, customer adoption, system development and operations for Leo's commercial business.

Basic qualifications

- Experience in automating, deploying, and supporting infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix

Preferred qualifications

- Experience with CI/CD pipelines build processes

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, BELLEVUE - 99,100.00 - 160,000.00 USD annually

How we rate this

Salesforce Engineer , Amazon Leo Government at Amazon rates 9 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.

●●●● 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.

Key facts

Salesforce Engineer , Amazon Leo Government is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $99k-$160k a year.
The role is based in US, WA, Bellevue.
The job was posted on November 13, 2026.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsAI AutomationBedrock

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a workflow you automated with AI tools, end to end.
What's a project where you used Bedrock hands-on?

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List these exact terms on your resume: RAG, AI agents, AI Automation, and Bedrock. 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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