Back-End Engineer Jobs in New Jersey
Back-End Engineer jobs in New Jersey are concentrated in Jersey City, Newark, and Princeton, where financial services firms, pharmaceutical companies, and tech hubs drive steady demand for engineers skilled in distributed systems, API development, and cloud infrastructure. Major employers with lasting New Jersey footprints include Johnson & Johnson, Cognizant, and Prudential Financial, all of which maintain engineering teams across the state. Openings run from junior roles requiring one to two years of experience through senior and staff-level positions shaping architecture decisions. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 10+ Back-End Engineer jobs
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 Back-End Engineer Jobs in New Jersey
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Find Back-End Engineer JobsBack-End Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Back-End Engineer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
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What New Jersey Employers Look For
The qualifications that appear most often in Back-End engineer jobs across New Jersey.
- Proficiency in one or more backend languages such as Java, Python, Go, or Node.js
- Experience designing and consuming RESTful or GraphQL APIs in production environments
- Hands-on work with relational databases like PostgreSQL or MySQL and query optimization
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud and deployment pipelines
- Understanding of microservices architecture, containerization with Docker, and orchestration with Kubernetes
- Bachelor's degree in computer science, software engineering, or a closely related technical field
Back-End Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become a back-end engineer in New Jersey?
Back-end engineering has no state-issued license in New Jersey, so the path runs through education and demonstrated technical skill. Most New Jersey employers expect a bachelor's degree in computer science, software engineering, or a related field, though strong portfolios and coding bootcamp credentials are accepted at many companies. Building projects that show API design, database work, and cloud deployment gives candidates a concrete edge with New Jersey hiring teams.
Which companies hire back-end engineers in New Jersey?
Companies currently hiring back-end engineers in New Jersey include JPMorganChase, BNY, and Citi, per current listings on Migrate Mate as of September 2026. New Jersey's dense mix of financial services headquarters, global pharmaceutical firms, and enterprise technology companies means back-end engineering demand holds steady well beyond any single sector.
Which New Jersey cities have the most back-end engineer jobs?
Jersey City, New Jersey, and Marlton have the most back-end engineer openings in New Jersey. Jersey City and Newark draw the largest share because of their proximity to New York City's financial sector and the concentration of enterprise technology and consulting offices along the Hudson waterfront, while Princeton benefits from the research-driven pharmaceutical and biotech campuses that fill the central corridor of the state.
Are there remote back-end engineer jobs in New Jersey?
Yes, and more than most fields. About 67% of back-end engineer openings tied to New Jersey are remote or hybrid as of September 2026, reflecting how naturally the work translates to distributed teams. Roles focused on API development, cloud infrastructure, and data pipeline work tend to be the most consistently remote, while positions tied to on-site systems integration or regulated financial environments more often require in-office time.
How can I get hired as a back-end engineer in New Jersey with little or no experience?
The most realistic entry path is landing a junior or associate software engineer role, which large New Jersey employers in financial services and pharma regularly post as new-grad positions. Companies like Cognizant and Conduent run associate developer programs that bring in candidates from computer science programs at Rutgers, NJIT, and Stevens Institute of Technology. Building a GitHub portfolio with a deployed API project and contributing to open-source work signals readiness even without professional experience on a resume.
Where can I find and apply to back-end engineer jobs in New Jersey?
You can find and apply to back-end engineer jobs in New Jersey on Migrate Mate, which lists current openings tied to the state. Search the listings, find the roles that match your experience and the kind of work you want to do, and apply directly to the ones that fit.
See All 10 Back-End 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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