Senior Software Development Engineer Jobs in Jersey City, NJ
Senior Software Development Engineer jobs in Jersey City are in strong demand, concentrated in the Journal Square, Newport, and Harborside districts across financial technology, banking technology, and enterprise software. Employers hiring right now include JPMorganChase, Citi, and MUFG. See the openings below and apply to the ones that match your experience.
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Showing 5 of 38+ Senior Software Development Engineer jobs
Are you ready to shape the future of technology at a global financial leader? Join us and make a real impact by building advanced cloud platforms that power data-driven decision making. At JPMorgan Chase, you'll collaborate with top talent, leverage cutting-edge tools, and help deliver solutions that transform how we work. This is your chance to push boundaries, grow your expertise, and be part of a team that values innovation and continuous learning. Discover a career adventure where your ideas matter and your skills drive change.
As a Senior Lead Software Engineer, Cloud Platform at JPMorgan Chase in the Corporate AI and Machine Learning Data Platforms team, you will play a key role in designing and delivering secure, high-quality technology solutions that support our data and analytics strategy. You'll work with us to develop cloud-based products, enhance productivity, and enable responsible innovation across the firm. Together, we'll harness the power of artificial intelligence and machine learning to create new opportunities and drive business success. You'll have the chance to collaborate, lead, and grow in a dynamic, inclusive environment.
Job Responsibilities
- Provide technical leadership and guidance to the cloud engineering team.
- Lead the design and development of secure, scalable, and reliable cloud infrastructure and platform tools.
- Drive adoption of modern DevEx (Developer Experience) practices and evolve CI/CD and developer tooling to improve delivery speed, quality, and consistency.
- Align platform strategy and roadmaps with business priorities; lead cross-functional initiatives to modernize SDLC practices.
- Evaluate, integrate, and govern strategic tooling to reduce cognitive load and improve developer experience.
- Collaborate with development teams to identify and eliminate bottlenecks on the platform.
- Define and promote paved paths and self-service workflows to streamline developer workflows.
- Implement real-time telemetry pipelines and workflows for large-scale platform observability and analytics.
- Champion adoption of tools that can improve developer productivity through clear documentation, training, office hours, and close engagement with the developer community.
- Standardize use of AI-assisted coding tools and AI-powered development ecosystems to accelerate development workflows, code generation, and engineering productivity across the organization.
- Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks built on top of Google ADK, Anthropic SDKs, etc. and related tooling to enable intelligent, scalable platform automation.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).
- Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.).
- Demonstrated expertise in DevEx (Developer Experience) and CI/CD tools (Jenkins, Spinnaker, Bitbucket, GitHub, etc.).
- Strong knowledge of cloud security best practices, shift-left methodologies, and DevSecOps processes.
- Strong programming skills in Golang or Python, with a solid understanding of software development best practices.
- Proficiency with cloud infrastructure provisioning tools (Terraform, KRO, Crossplane, etc.).
- Experience with logging and monitoring tools (Splunk, Grafana, Datadog, Prometheus, etc.).
- Deep understanding of cloud infrastructure design, architecture, and migration strategies.
- Demonstrated proficiency with AI-assisted coding workflows, including experience with LLM-powered development tools, spec-driven development methodologies, and prompt engineering for software engineering use cases.
Preferred Qualifications, Capabilities, and Skills
Master's degree in a related field and certifications in Cloud, Kubernetes, or infrastructure-as-code technologies.
- Experience implementing multi-cloud architectures and leading end-to-end platform development efforts.
- Background in designing and developing scalable AI/ML or Data platforms.
- Experience with automation and workflow orchestration for operational efficiency.
- Published contributions to open-source or industry-recognized projects.
- Hands-on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and standard agent orchestration tooling.
- Experience with enhancing AI-powered coding ecosystems with enterprise specific tooling to improve developer productivity and platform engineering workflows.
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
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.
Are you ready to shape the future of technology at a global financial leader? Join us and make a real impact by building advanced cloud platforms that power data-driven decision making. At JPMorgan Chase, you'll collaborate with top talent, leverage cutting-edge tools, and help deliver solutions that transform how we work. This is your chance to push boundaries, grow your expertise, and be part of a team that values innovation and continuous learning. Discover a career adventure where your ideas matter and your skills drive change.
As a Senior Lead Software Engineer, Cloud Platform at JPMorgan Chase in the Corporate AI and Machine Learning Data Platforms team, you will play a key role in designing and delivering secure, high-quality technology solutions that support our data and analytics strategy. You'll work with us to develop cloud-based products, enhance productivity, and enable responsible innovation across the firm. Together, we'll harness the power of artificial intelligence and machine learning to create new opportunities and drive business success. You'll have the chance to collaborate, lead, and grow in a dynamic, inclusive environment.
Job Responsibilities
- Provide technical leadership and guidance to the cloud engineering team.
- Lead the design and development of secure, scalable, and reliable cloud infrastructure and platform tools.
- Drive adoption of modern DevEx (Developer Experience) practices and evolve CI/CD and developer tooling to improve delivery speed, quality, and consistency.
- Align platform strategy and roadmaps with business priorities; lead cross-functional initiatives to modernize SDLC practices.
- Evaluate, integrate, and govern strategic tooling to reduce cognitive load and improve developer experience.
- Collaborate with development teams to identify and eliminate bottlenecks on the platform.
- Define and promote paved paths and self-service workflows to streamline developer workflows.
- Implement real-time telemetry pipelines and workflows for large-scale platform observability and analytics.
- Champion adoption of tools that can improve developer productivity through clear documentation, training, office hours, and close engagement with the developer community.
- Standardize use of AI-assisted coding tools and AI-powered development ecosystems to accelerate development workflows, code generation, and engineering productivity across the organization.
- Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks built on top of Google ADK, Anthropic SDKs, etc. and related tooling to enable intelligent, scalable platform automation.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).
- Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.).
- Demonstrated expertise in DevEx (Developer Experience) and CI/CD tools (Jenkins, Spinnaker, Bitbucket, GitHub, etc.).
- Strong knowledge of cloud security best practices, shift-left methodologies, and DevSecOps processes.
- Strong programming skills in Golang or Python, with a solid understanding of software development best practices.
- Proficiency with cloud infrastructure provisioning tools (Terraform, KRO, Crossplane, etc.).
- Experience with logging and monitoring tools (Splunk, Grafana, Datadog, Prometheus, etc.).
- Deep understanding of cloud infrastructure design, architecture, and migration strategies.
- Demonstrated proficiency with AI-assisted coding workflows, including experience with LLM-powered development tools, spec-driven development methodologies, and prompt engineering for software engineering use cases.
Preferred Qualifications, Capabilities, and Skills
Master's degree in a related field and certifications in Cloud, Kubernetes, or infrastructure-as-code technologies.
- Experience implementing multi-cloud architectures and leading end-to-end platform development efforts.
- Background in designing and developing scalable AI/ML or Data platforms.
- Experience with automation and workflow orchestration for operational efficiency.
- Published contributions to open-source or industry-recognized projects.
- Hands-on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and standard agent orchestration tooling.
- Experience with enhancing AI-powered coding ecosystems with enterprise specific tooling to improve developer productivity and platform engineering workflows.
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
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.
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Find JobsSenior Software Development Engineer Job Market in Jersey City
Who's Hiring
- JPMorganChase24
- Citi3
- MUFG2
- Deloitte2
- AIG1
Top Industries Hiring
- Banking & Financial Services16
- Investment & Asset Management16
- Fintech11
- Technology & Software7
- Construction & Real Estate3
Senior Software Development Engineer Jobs in Jersey City: Frequently Asked Questions
How do I get a senior software development engineer job in Jersey City?
The strongest path is targeting Jersey City's dense concentration of financial technology firms and bank technology divisions, which dominate hiring in Newport and Harborside. Candidates with experience in distributed systems, cloud platforms, or API development stand out. Familiarity with the compliance and low-latency requirements common in fintech gives you a concrete edge over candidates with purely enterprise software backgrounds.
Which companies hire senior software development engineers in Jersey City?
Companies currently hiring senior software development engineers in Jersey City include JPMorganChase, Citi, and MUFG, per current listings on Migrate Mate as of July 2026. Jersey City's employer base skews heavily toward financial institutions, fintech scale-ups, and the technology arms of major banks that relocated operations to the waterfront.
Are there remote senior software development engineer jobs in Jersey City?
Yes, and senior software development engineering is one of the more remote-compatible roles given the desk-based, collaborative nature of the work. About 50% of senior software development engineer openings tied to Jersey City are remote or hybrid as of July 2026, reflecting broad industry adoption of flexible arrangements. Architecture, code review, and cross-team integration work are the functions most frequently performed remotely in Jersey City-based roles.
How can I get a senior software development engineer job in Jersey City with little or no experience?
The most realistic entry path is targeting associate or mid-level software engineer roles at Jersey City's fintech firms and bank technology divisions, where internal promotion to senior levels is common. Contributing to open-source projects, building a portfolio that demonstrates system design thinking, and applying to rotational engineering programs at larger financial institutions in the Newport and Harborside corridors can open doors before you reach the senior title.
Which industries hire the most senior software development engineers in Jersey City?
The sectors hiring the most senior software development engineers in Jersey City are Banking & Financial Services, Investment & Asset Management, and Fintech, based on current listings on Migrate Mate as of July 2026. Jersey City's proximity to Wall Street and its established role as a back-office and technology hub for major financial institutions drives outsized demand from those sectors compared to most comparable cities.
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