Senior Software Engineering Jobs in New Jersey
Senior Software Engineering jobs in New Jersey are in strong and consistent demand, concentrated in financial technology, pharmaceutical and life sciences technology, telecommunications, and enterprise software, with openings from mid-level engineers through principal and staff engineers. The heaviest hiring activity sits in Jersey City, Newark, and Parsippany, where established employers including Johnson & Johnson, Cognizant, and Prudential Financial maintain large engineering footprints. Back-end systems, cloud infrastructure, and full-stack development are the most consistently sought specializations across New Jersey's technology corridors. Find a role that fits below and apply directly.
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Showing 5 of 21+ Senior Software Engineering jobs
Build what powers better decisions at scale. In this role, you'll lead multiple engineering teams delivering modern data engineering and business intelligence capabilities that enable critical finance outcomes. You'll create an environment where engineers do their best work—shipping reliably, raising quality, and learning continuously. You'll also help scale responsible, enterprise-authorized AI-assisted engineering practices to unlock productivity while protecting security and data sensitivity. If you enjoy combining people leadership with technical depth and measurable impact, this is your opportunity.
Job Summary:
As a Senior Software Engineering Manager in the Corporate Technology, Asset & Wealth Management Finance team, you will lead multiple engineering teams delivering data engineering and business intelligence solutions that support finance stakeholders. You will set clear technical direction, operating practices, and delivery expectations across teams, balancing speed with quality and operational excellence. You will partner closely with business and technology leaders to prioritize outcomes and align roadmaps. You will build an inclusive culture focused on ownership, continuous improvement, and responsible use of enterprise-authorized AI capabilities.
Job Responsibilities
- Lead multiple teams delivering data engineering platforms and analytics solutions aligned to finance priorities
- Define and execute the data engineering roadmap, including scalable pipeline design and modernization
- Architect and guide PySpark-based processing patterns to improve performance, reliability, and maintainability
- Deliver business intelligence capabilities by partnering with stakeholders to define requirements and drive adoption
- Establish engineering standards for code quality, testing, documentation, and production readiness
- Drive operational excellence by monitoring service health, reducing incidents, and improving recoverability
- Develop talent through coaching, feedback, hiring, and succession planning across teams
- Partner with risk, security, and governance stakeholders to ensure appropriate handling of sensitive data
- Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets
Required Qualifications, Capabilities, and Skills
- Demonstrated people leadership experience managing multiple engineering teams and leaders
- Hands-on knowledge of data engineering concepts, including batch processing patterns and data pipeline design
- Hands-on experience building or supporting PySpark-based solutions in production environments
- Experience delivering business intelligence solutions using business intelligence tools
- Strong ability to translate business outcomes into actionable engineering roadmaps and delivery plans
- Strong understanding of software engineering fundamentals, including code quality, testing, and production support
- Effective stakeholder management skills, including influencing across technology and business partners
- Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns
Preferred Qualifications, Capabilities, and Skills
- Experience delivering data and analytics solutions in a finance-aligned domain
- Experience building reusable data products and enabling self-service analytics at scale
- Experience leading large-scale modernization initiatives across teams
- Familiarity with establishing metrics for engineering throughput, quality, and reliability across organizations
- Experience partnering with geographically distributed teams and stakeholders
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Build what powers better decisions at scale. In this role, you'll lead multiple engineering teams delivering modern data engineering and business intelligence capabilities that enable critical finance outcomes. You'll create an environment where engineers do their best work—shipping reliably, raising quality, and learning continuously. You'll also help scale responsible, enterprise-authorized AI-assisted engineering practices to unlock productivity while protecting security and data sensitivity. If you enjoy combining people leadership with technical depth and measurable impact, this is your opportunity.
Job Summary:
As a Senior Software Engineering Manager in the Corporate Technology, Asset & Wealth Management Finance team, you will lead multiple engineering teams delivering data engineering and business intelligence solutions that support finance stakeholders. You will set clear technical direction, operating practices, and delivery expectations across teams, balancing speed with quality and operational excellence. You will partner closely with business and technology leaders to prioritize outcomes and align roadmaps. You will build an inclusive culture focused on ownership, continuous improvement, and responsible use of enterprise-authorized AI capabilities.
Job Responsibilities
- Lead multiple teams delivering data engineering platforms and analytics solutions aligned to finance priorities
- Define and execute the data engineering roadmap, including scalable pipeline design and modernization
- Architect and guide PySpark-based processing patterns to improve performance, reliability, and maintainability
- Deliver business intelligence capabilities by partnering with stakeholders to define requirements and drive adoption
- Establish engineering standards for code quality, testing, documentation, and production readiness
- Drive operational excellence by monitoring service health, reducing incidents, and improving recoverability
- Develop talent through coaching, feedback, hiring, and succession planning across teams
- Partner with risk, security, and governance stakeholders to ensure appropriate handling of sensitive data
- Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets
Required Qualifications, Capabilities, and Skills
- Demonstrated people leadership experience managing multiple engineering teams and leaders
- Hands-on knowledge of data engineering concepts, including batch processing patterns and data pipeline design
- Hands-on experience building or supporting PySpark-based solutions in production environments
- Experience delivering business intelligence solutions using business intelligence tools
- Strong ability to translate business outcomes into actionable engineering roadmaps and delivery plans
- Strong understanding of software engineering fundamentals, including code quality, testing, and production support
- Effective stakeholder management skills, including influencing across technology and business partners
- Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns
Preferred Qualifications, Capabilities, and Skills
- Experience delivering data and analytics solutions in a finance-aligned domain
- Experience building reusable data products and enabling self-service analytics at scale
- Experience leading large-scale modernization initiatives across teams
- Familiarity with establishing metrics for engineering throughput, quality, and reliability across organizations
- Experience partnering with geographically distributed teams and stakeholders
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
See All 21 Senior Software Engineering Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find JobsSenior Software Engineering Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Senior Software Engineering Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
- JPMorganChase12
- LTM Limited3
- The Cigna2
- Fiserv1
- Pearson1
Top Industries Hiring
- Fintech
- Banking & Financial Services
- Investment & Asset Management
What New Jersey Employers Look For
The qualifications that appear most often in senior software engineering jobs across New Jersey.
- Bachelor's or master's degree in computer science, software engineering, or a related field
- Seven or more years of professional software development experience in production environments
- Deep proficiency in at least one primary language such as Java, Python, or Go
- Proven experience designing distributed systems or scalable cloud-native architectures
- Experience mentoring junior engineers and leading technical design reviews
- Familiarity with Agile or Scrum delivery practices in a team-based environment
Senior Software Engineering Jobs in New Jersey: Frequently Asked Questions
How do you become a senior software engineering in New Jersey?
New Jersey does not require a state-issued license to work as a software engineer, so the path runs through education and experience. Most New Jersey employers expect a bachelor's degree in computer science, software engineering, or a related discipline, though strong candidates from New Jersey's many coding bootcamps and self-taught backgrounds do get hired at larger firms. Reaching a senior level typically means building several years of full-stack, back-end, or systems engineering experience and demonstrating ownership of complex, production-grade projects.
How much do senior software engineerings make in New Jersey?
Senior software engineerings 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 senior software engineerings in New Jersey?
Employers hiring senior software engineerings in New Jersey right now include JPMorganChase, LTM Limited, and The Cigna, based on current listings on Migrate Mate as of November 2026. New Jersey's mix of financial services headquarters, pharmaceutical technology divisions, and major telecommunications firms means senior engineering roles appear across a notably wide range of industries compared with most states.
Which New Jersey cities have the most senior software engineering jobs?
Jersey City, Morris Plains, and Camden have the most senior software engineering openings in New Jersey right now. Jersey City and Newark benefit from their proximity to New York City's financial and technology sector, drawing fintech and enterprise software teams that prefer New Jersey's lower cost base, while Parsippany and the Route 1 corridor anchor demand from pharmaceutical, defense, and telecommunications employers headquartered in those suburban markets.
Are there remote senior software engineering jobs in New Jersey?
Yes, and more than most fields. About 60% of senior software engineering openings tied to New Jersey are remote or hybrid as of November 2026, reflecting how naturally the work translates to distributed teams. The roles most likely to stay fully remote are back-end development, cloud infrastructure, and platform engineering positions, while embedded systems, on-site lab integrations, and roles with regulated financial data access tend to require at least a hybrid schedule.
How can I get hired as a senior software engineering in New Jersey with little or no experience?
The most realistic entry path is securing a junior or associate software engineer role and building toward senior level from there. Large New Jersey employers in financial services and life sciences, including firms anchored along the Jersey City waterfront and the Route 1 technology corridor, regularly run rotational technology programs and new-graduate cohorts that accept candidates with a strong portfolio or capstone project. Contributing to open-source projects, earning a cloud certification such as AWS or Azure, and targeting associate engineer postings at New Jersey's pharmaceutical and enterprise software firms are the most concrete steps for candidates without professional experience.
Where can I find and apply to senior software engineering jobs in New Jersey?
You can find and apply to senior software engineering jobs in New Jersey on Migrate Mate, which lists current New Jersey openings updated in real time. Find the roles that fit your background and apply directly to each one.
See All 21 Senior Software Engineering Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
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