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Software Development Engineer In Testing Jobs in Jersey City, NJ

Amazon

Software Development Engineer

Newark, NJ · On-site

ABOUT YOU You're in your element when you're being challenged, and you're always eager to share ... As a Software Development Engineer, you will... - Design, develop, and test software components and ...

Amazon

Software Development Engineer

Newark, NJ · On-site

ABOUT YOU You're in your element when you're being challenged, and you're always eager to share ... As a Software Development Engineer, you will... - Design, develop, and test software components and ...

Amazon

Software Development Engineer

Newark, NJ · On-site

In this role, you will lead a team to design, develop, test, and deploy capabilities that secure ... As a Software Development Engineer, you will... - Design, develop, and test software components and ...

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All JobsSoftware Development Engineer In Testing JobsSoftware Development Engineer In Testing Jobs in Jersey City, NJ

Software Development Engineer In Testing information

See Jersey City, NJ salary details

$66.3K

$154K

$214.5K

How much do software development engineer in testing jobs pay per year?

As of Jun 15, 2026, the average yearly pay for software development engineer in testing in Jersey City, NJ is $153,981.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $180,600.00 per year, depending on experience, location, and employer.

What are Software Development Engineers in Testing (SDETs)?

Software Development Engineers in Testing (SDETs) are professionals who specialize in both software development and testing. They design, develop, and maintain automated test frameworks and tools to ensure the quality and functionality of software applications. SDETs work closely with developers to create robust test cases, identify bugs, and improve product reliability. Their role bridges the gap between traditional software testers and developers, requiring strong programming skills as well as a deep understanding of testing methodologies.

What are the key skills and qualifications needed to thrive as a Software Development Engineer In Testing (SDET), and why are they important?

To thrive as a Software Development Engineer In Testing, you need strong programming skills, a solid understanding of software testing principles, and typically a degree in computer science or a related field. Familiarity with automation tools such as Selenium, JUnit, or TestNG, as well as version control systems like Git, is essential, and certifications in test automation can be advantageous. Analytical thinking, attention to detail, and effective communication are standout soft skills for identifying issues and collaborating with development teams. These skills ensure high-quality, reliable software products through efficient test automation and seamless integration within development workflows.

Will QA or SDET get replaced by AI?

Software Development Engineers in Testing (SDETs) and QA professionals perform complex testing tasks that require critical thinking, creativity, and understanding of business logic, which AI currently cannot fully replicate. While AI tools can automate repetitive testing and assist in identifying issues, human oversight and expertise remain essential for designing test strategies, interpreting results, and ensuring software quality. Therefore, SDET roles are likely to evolve with AI rather than be completely replaced.

What engineers make $500,000?

Software Development Engineers In Testing (SDETs) at senior levels or in high-cost-of-living areas can earn $500,000 or more annually, especially with bonuses, stock options, and other compensation. Achieving this typically requires extensive experience, advanced skills in automation and testing tools, and working at large tech companies or in leadership roles.

What does a software development engineer in test do?

A Software Development Engineer in Test (SDET) designs, develops, and maintains automated test frameworks and scripts to ensure software quality. They collaborate with development teams to identify testing requirements, write test cases, and use tools like Selenium or JUnit to execute tests, often possessing programming skills in languages such as Java or Python. SDETs focus on improving testing efficiency and reliability throughout the software development lifecycle.

How does a Software Development Engineer in Testing (SDET) typically collaborate with developers and QA teams during a product release cycle?

SDETs play a key role in bridging the gap between development and quality assurance by working closely with both teams throughout the product release cycle. They participate in code reviews, contribute to designing robust test automation frameworks, and often pair with developers to ensure testability of new features. During sprints, SDETs write, maintain, and execute automated test suites, provide early feedback on potential issues, and help triage bugs. This close collaboration ensures faster feedback loops, higher code quality, and smoother product releases.

Is SDET in high demand?

Software Development Engineers in Testing (SDETs) are in high demand due to the increasing emphasis on quality assurance and automation in software development. Companies seek SDETs skilled in programming, testing frameworks, and tools like Selenium and Jenkins to improve product reliability and speed up release cycles.

What is the difference between Software Development Engineer In Testing vs Software Development Engineer In Testing?

AspectSoftware Development Engineer In Testing
Primary FocusDesigning and developing automated tests, ensuring software quality through testing automation and scripting
Skills RequiredProgramming, test automation, scripting, understanding of testing frameworks
Work EnvironmentCollaborates closely with developers, involved in continuous integration and deployment pipelines
CertificationsOften holds certifications in testing tools or programming languages

In summary, a Software Development Engineer In Testing primarily focuses on creating automated tests and scripting to ensure software quality, working closely with development teams. They possess strong programming skills and are integral to continuous testing processes.

What are popular job titles related to Software Development Engineer In Testing jobs in Jersey City, NJ? For Software Development Engineer In Testing jobs in Jersey City, NJ, the most frequently searched job titles are:
What job categories do people searching Software Development Engineer In Testing jobs in Jersey City, NJ look for? The top searched job categories for Software Development Engineer In Testing jobs in Jersey City, NJ are:
What cities near Jersey City, NJ are hiring for Software Development Engineer In Testing jobs? Cities near Jersey City, NJ with the most Software Development Engineer In Testing job openings:
Software Development Engineer In Testing jobs near you
Infographic showing various Software Development Engineer In Testing job openings in Jersey City, NJ as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $153,981 per year, or $74 per hour.
Senior Software Development Engineer

Senior Software Development Engineer

Clearwater Analytics

New York, NY

$134K - $176K/yr

Full-time

Posted 8 days ago

Job description

Job Summary

The Software Development Engineer - Risk (TRMS) is responsible for designing, developing, testing, and supporting software solutions for Trading & Risk Management Systems. This role focuses on risk analytics and reporting capabilities, including support for calculations such as Greeks, VaR, PFE, and XVA. The engineer will work closely with product managers, quantitative analysts, and engineering peers to deliver scalable, reliable, and high-performing solutions that support front-office and risk management functions. The role also requires familiarity with emerging Agentic AI capabilities and how intelligent automation can be applied to software engineering, data workflows, and risk technology use cases.

Responsibilities

Design, develop, test, deploy, and maintain software applications supporting Trading & Risk Management Systems.

Build and enhance risk analytics and reporting solutions, including support for Greeks, VaR, PFE, and XVA calculations.

Partner with product managers, quantitative analysts, and engineering teams to translate business and technical requirements into scalable software solutions.

Develop and maintain backend services, APIs, and microservices that integrate with internal and external systems.

Integrate and support market data feeds and services from external vendors such as Bloomberg, Refinitiv, Markit, and similar providers.

Apply AI-assisted development practices and support intelligent automation opportunities within engineering and risk workflows where appropriate.

Contribute to the design or integration of Agentic AI solutions, such as workflow agents, reasoning assistants, or automation services, in support of engineering productivity and operational efficiency.

Troubleshoot production issues, perform root cause analysis, and implement sustainable fixes.

Contribute to code reviews, testing, automation, and CI/CD processes to ensure high-quality software delivery.

Maintain technical documentation and support ongoing platform improvements and modernization efforts.

Required Skills

Hands-on Python development experience is required.

Strong software development experience in Python or another object-oriented programming language.

7+ years of professional software development experience in the financial services industry.

Experience working with Trading & Risk Management Systems and risk analytics/reporting platforms.

Required background in dealing with and integrating market data vendors such as Bloomberg, Refinitiv, Markit, or similar providers.

Experience developing backend applications, APIs, and microservices.

Understanding of Agentic AI concepts, including autonomous workflows, orchestration frameworks, prompt-driven task execution, and AI-assisted software development tools.

Experience or familiarity with integrating LLM-based capabilities, AI agents, or intelligent automation into enterprise applications is preferred.

Proficiency with source control tools such as Git.

Experience with testing frameworks, automation, and CI/CD pipelines.

Strong analytical, problem-solving, and communication skills.

Ability to work effectively in a collaborative, cross-functional environment.

Education and Experience

Bachelor's degree in computer science, Engineering, Mathematics, Finance, or a related technical field, or equivalent practical experience.

7+ years of software development experience within the financial services industry.

Demonstrated experience integrating with market data vendors such as Bloomberg, Refinitiv, Markit, or comparable platforms.

Experience supporting trading, pricing, or risk management workflows is strongly preferred.

Exposure to AI/ML, intelligent automation, or Agentic AI frameworks in enterprise environments is a plus.

Apply