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Amazon Software Development Engineer Jobs in Delaware

As a Sr. Land Development Engineer , you'll work with multidisciplinary design teams and help ... Familiarity with ArcGIS software is a plus Salary Range: The compensation range starts at $95,000 ...

Java Software Engineer III

Wilmington, DE · On-site

$50.25 - $69/hr

Executes standard software solution, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance

$44.25 - $60.50/hr

Execute software solutions, design, development, and technical troubleshooting for Transformative AI applications. * Write secure and high-quality code using Java and React, with limited guidance.

As a Lead Software Engineer - Python/React/AWS/AI at JPMorganChase within the Consumer and ... Executes creative software solutions, design, development, and technical troubleshooting with ...

Showing results 41-60

Amazon Software Development Engineer information

See Delaware salary details

$63.6K

$147.7K

$205.7K

How much do amazon software development engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for amazon software development engineer in Delaware is $147,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,100.00 and $173,100.00 per year, depending on experience, location, and employer.

What is an Amazon Software Development Engineer?

Amazon Software Development Engineers (SDEs) are technical professionals responsible for designing, developing, testing, and maintaining software solutions that power Amazon's wide range of products and services. They work on scalable and innovative systems, collaborating with cross-functional teams to solve complex problems and deliver high-quality software. SDEs at Amazon are expected to have strong programming skills, a deep understanding of computer science fundamentals, and the ability to learn new technologies quickly. Their work is crucial to ensuring Amazon's platforms are efficient, reliable, and able to serve millions of customers worldwide.

What types of projects and technologies do Amazon Software Development Engineers typically work on, and how is teamwork structured within these projects?

As an Amazon Software Development Engineer, you'll often work on large-scale, customer-facing systems that require high reliability and scalability. Projects can range from building backend services using AWS technologies to developing new features for Amazon's e-commerce platform or Alexa. Teams are usually organized around specific products or services and follow Agile methodologies, with regular stand-ups, code reviews, and collaboration with product managers, UX designers, and other engineers. This structure fosters a collaborative environment where engineers are encouraged to take ownership of features, contribute to architectural decisions, and learn from cross-functional peers.

What are the key skills and qualifications needed to thrive as an Amazon Software Development Engineer, and why are they important?

To thrive as an Amazon Software Development Engineer, you need strong proficiency in programming languages (such as Java, C++, or Python), problem-solving skills, and a solid understanding of computer science fundamentals, often supported by a bachelor's degree in computer science or a related field. Familiarity with AWS services, distributed systems, version control tools like Git, and experience in test-driven development are typically required. Exceptional communication, teamwork, and adaptability help you excel in Amazon's collaborative and fast-paced environment. These skills and qualities are crucial to delivering scalable, reliable software solutions that meet Amazon’s high standards and business goals.

What is the difference between Amazon Software Development Engineer vs Amazon Software Development Engineer?

AspectAmazon Software Development Engineer

Since the comparison is between the same job title, there is no difference. Both roles involve designing, developing, and maintaining software solutions within Amazon's environment, requiring similar skills, credentials, and work settings. The term may be used interchangeably across teams and locations, emphasizing the core responsibilities of software engineering at Amazon.

What are popular job titles related to Amazon Software Development Engineer jobs in Delaware?

For Amazon Software Development Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Amazon Software Development Engineer jobs in Delaware look for?

The top searched job categories for Amazon Software Development Engineer jobs in Delaware are:

Infographic showing various Amazon Software Development Engineer job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $147,651 per year, or $71 per hour.

AI Platform Engineer, Python - Lead Software Engineer

Wilmington, DE • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees

Other

Re-posted 5 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz


Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Chief Data and Analytics Office, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Execute creative software solutions, design, development, and technical troubleshooting for AI‑enabled applications.
  • Develop secure, high‑quality production code; review and debug SDK and service integrations.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Identify and automate remediation of recurring issues to improve reliability of AI features and services.
  • Lead evaluation sessions with vendors and internal teams on model capabilities, safety, and integration patterns.
  • Lead communities of practice to share prompt engineering, evaluation methods, and SDK best practices.
  • Add to team culture of diversity, opportunity, inclusion, and respect.
  • Build and ship AI‑powered features using AI (Bedrock or Foundry or Vertex AI), including prompt design, function calling, and SDK/REST integrations (no prior experience required).
  • Implement input/output safety (guardrails, moderation) and comprehensive LLM usage logging/monitoring (no prior experience required)..
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • DevOps: CI/CD pipelines, infrastructure as code, containerization/orchestration, observability, and cloud platforms.
  • Hands‑on experience delivering system design, application development, testing, and operational stability.
  • Advanced proficiency in Python software engineering skills
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Proficiency in automation and continuous delivery methods; strong unit/integration testing discipline.
  • Proficient in all aspects of the Software Development Life Cycle and secure coding practices.
  • Advanced understanding of CI/CD, application resiliency, and security for AI applications.
  • Practical cloud‑native experience.
Preferred qualifications, capabilities, and skills
  • Terraform is a plus
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