Java Backend Engineer Jobs in New Jersey
Java Backend Engineer jobs in New Jersey are in strong demand, with active hiring across financial services, pharmaceuticals, telecommunications, and enterprise technology from entry-level through senior and principal levels. Newark, Jersey City, and Parsippany are the primary hiring centers, anchored by major employers such as Cognizant, Johnson & Johnson, and Prudential Financial, all of which maintain significant engineering operations in the state. The most sought-after specialties in New Jersey listings are microservices architecture, Spring Boot development, and cloud-native API integration. Find a role that fits below and apply directly.
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Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Lead Software Engineer at JPMorgan Chase, you are 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 delivering critical technology solutions supporting the Equities Broker Dealer and Prime Finance platform, including securities lending, trade lifecycle, and clearing & settlement capabilities, in alignment with the firm's business objectives. You will also integrate AI/ML and GenAI capabilities into core platforms in a way that is secure, governable, and operable at enterprise scale.
Job Responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with the ability to solve complex problems and deliver scalable solutions across distributed systems and microservices architectures
- Develops secure, high-quality production code, and reviews and debugs code written by others to ensure engineering excellence
- Build and integrate AI/ML and GenAI into production platforms—LLMs, RAG, embeddings, vector databases, and MLOps for lifecycle management, monitoring, and governance.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability, resiliency, and performance of applications
- Drives architecture and design decisions influencing system scalability, performance, and long-term platform evolution
- Leads evaluation sessions with internal teams and stakeholders to assess architectural designs and ensure alignment with enterprise technology strategies
- Contributes to platform modernization through adoption of cloud-native, event-driven, and microservices-based architectures
- Partners with business, product, and operations teams to translate Prime Finance and Broker Dealer requirements into scalable technical solutions
- Ensures robust delivery across environments with strong focus on SDLC, testing (unit, SIT, UAT), and production stability
- 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.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years of applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability in large-scale enterprise environments
- Advanced proficiency in Java, Spring Boot and REST APIs programming language within microservices in a distributed systems architecture
- Strong experience withRelational databases (Oracle/DB2) and/or NoSQL (MongoDB) and CI/CD pipelines, DevOps, and automation practices
- Proficient in all aspects of the Software Development Life Cycle (SDLC)
- Strong problem-solving, analytical, and stakeholder communication skills
- Demonstrated proficiency in building high-volume, low-latency, mission-critical financial systems
- Hands-on experience integrating AI/ML and GenAI into enterprise applications, including LLMs, RAG pipelines, embeddings, vector stores/databases, model evaluation, and production monitoring (MLOps).
- 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
- Practical experience working across cross-functional teams in complex enterprise organizations
Preferred qualifications, skills, and capabilities
- Cloud-native development (AWS or equivalent)
- Exposure to Prime Finance, Securities Lending, or Broker Dealer platforms
- Experience with event-driven architectures (Kafka, MQ) and messaging systems
- Familiarity with modern front-end technologies (React, UI frameworks)
- Exposure to domain-driven design, full-stack development, and modern architectural patterns
- Experience with observability tools (Splunk, Grafana, Prometheus, ELK)
- Interest in adopting emerging technologies (AI-assisted development, automation, advanced analytics)
ABOUT US
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Lead Software Engineer at JPMorgan Chase, you are 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 delivering critical technology solutions supporting the Equities Broker Dealer and Prime Finance platform, including securities lending, trade lifecycle, and clearing & settlement capabilities, in alignment with the firm's business objectives. You will also integrate AI/ML and GenAI capabilities into core platforms in a way that is secure, governable, and operable at enterprise scale.
Job Responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with the ability to solve complex problems and deliver scalable solutions across distributed systems and microservices architectures
- Develops secure, high-quality production code, and reviews and debugs code written by others to ensure engineering excellence
- Build and integrate AI/ML and GenAI into production platforms—LLMs, RAG, embeddings, vector databases, and MLOps for lifecycle management, monitoring, and governance.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability, resiliency, and performance of applications
- Drives architecture and design decisions influencing system scalability, performance, and long-term platform evolution
- Leads evaluation sessions with internal teams and stakeholders to assess architectural designs and ensure alignment with enterprise technology strategies
- Contributes to platform modernization through adoption of cloud-native, event-driven, and microservices-based architectures
- Partners with business, product, and operations teams to translate Prime Finance and Broker Dealer requirements into scalable technical solutions
- Ensures robust delivery across environments with strong focus on SDLC, testing (unit, SIT, UAT), and production stability
- 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.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years of applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability in large-scale enterprise environments
- Advanced proficiency in Java, Spring Boot and REST APIs programming language within microservices in a distributed systems architecture
- Strong experience withRelational databases (Oracle/DB2) and/or NoSQL (MongoDB) and CI/CD pipelines, DevOps, and automation practices
- Proficient in all aspects of the Software Development Life Cycle (SDLC)
- Strong problem-solving, analytical, and stakeholder communication skills
- Demonstrated proficiency in building high-volume, low-latency, mission-critical financial systems
- Hands-on experience integrating AI/ML and GenAI into enterprise applications, including LLMs, RAG pipelines, embeddings, vector stores/databases, model evaluation, and production monitoring (MLOps).
- 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
- Practical experience working across cross-functional teams in complex enterprise organizations
Preferred qualifications, skills, and capabilities
- Cloud-native development (AWS or equivalent)
- Exposure to Prime Finance, Securities Lending, or Broker Dealer platforms
- Experience with event-driven architectures (Kafka, MQ) and messaging systems
- Familiarity with modern front-end technologies (React, UI frameworks)
- Exposure to domain-driven design, full-stack development, and modern architectural patterns
- Experience with observability tools (Splunk, Grafana, Prometheus, ELK)
- Interest in adopting emerging technologies (AI-assisted development, automation, advanced analytics)
ABOUT US
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
See All 10 Java Backend Engineer Jobs in New Jersey
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Find Java Backend Engineer JobsJava Backend Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Java Backend Engineer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
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What New Jersey Employers Look For
The qualifications that appear most often in java backend engineer jobs across New Jersey.
- Proficiency in Java with hands-on experience in Spring or Spring Boot frameworks
- Experience designing and building RESTful APIs and microservices in production environments
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Knowledge of relational and NoSQL databases including PostgreSQL, MySQL, or MongoDB
- Experience with CI/CD pipelines, containerization tools like Docker, and Kubernetes
- Bachelor's degree in computer science, software engineering, or a closely related field
Java Backend Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become a java backend engineer in New Jersey?
Java backend engineering in New Jersey requires no state-issued license or registration, so the path runs through education and demonstrated technical skill. Most employers expect at minimum a bachelor's degree in computer science, software engineering, or information technology from an accredited institution. New Jersey candidates benefit from the state's large concentration of financial services and pharmaceutical employers, many of whom recruit directly from Rutgers University, NJIT, and Stevens Institute of Technology.
How much do java backend engineers make in New Jersey?
Java backend engineers in New Jersey earn a median of about $135,940 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $84,880 for the lowest 10% to over $207,200 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire java backend engineers in New Jersey?
Employers hiring java backend engineers in New Jersey right now include Citi, JPMorganChase, and BNY, based on current listings on Migrate Mate as of September 2026. New Jersey's dense corridor of financial services firms, global pharmaceutical headquarters, and large technology consultancies creates consistent year-round demand for experienced Java talent across the state.
Which New Jersey cities have the most java backend engineer jobs?
Jersey City, Morristown, and Whippany have the most java backend engineer openings in New Jersey. Jersey City and Newark draw the highest volume because of their proximity to Wall Street-aligned financial services firms and major tech consultancies, while Parsippany and Princeton attract openings from pharmaceutical and insurance company campuses that run large in-house engineering teams.
Are there remote java backend engineer jobs in New Jersey?
Yes, and more than most fields. About 100% of java backend engineer openings tied to New Jersey are remote or hybrid as of September 2026, reflecting how well backend development translates to distributed work. The most fully remote roles tend to be in API development, systems integration, and cloud infrastructure work, where collaboration relies on code reviews and asynchronous tooling rather than on-site coordination.
How can I get hired as a java backend engineer in New Jersey with little or no experience?
The most realistic entry path is a junior or associate software engineer role, which large New Jersey employers such as Cognizant, Conduent, and Prudential regularly fill with recent graduates. Candidates who build a portfolio of Spring Boot projects on GitHub, complete a relevant internship through NJIT or Rutgers cooperative education programs, or earn an AWS or Oracle Java certification gain a measurable edge. Adjacent roles in QA automation or technical support at New Jersey technology firms also serve as common lateral moves into backend development.
Where can I find and apply to java backend engineer jobs in New Jersey?
You can find and apply to java backend engineer jobs in New Jersey on Migrate Mate, which lists current openings across the state. Search the available roles, find the ones that match your experience and location, and apply directly to the ones that fit.
See All 10 Java Backend Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
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