Platform Engineer Jobs in Jersey City, NJ
Platform Engineer jobs in Jersey City are concentrated in the Newport and Harborside districts, along the Hudson waterfront corridor, across financial services, fintech, and enterprise technology. Employers actively hiring include JPMorganChase, Lyzr AI, and Information Technology Senior Management Forum. Find a role that fits below and apply directly.
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Showing 5 of 42+ Platform Engineer jobs
As a Lead Software Engineer - Data and Payments Data Platform at JPMorgan Chase within the Commercial and Investment Banking - Data Analytics Payment Team, 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 conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Lead the design and delivery of an activity monitoring solution spanning a React UI and Java/Spring Boot backend services, ensuring scalability, resiliency, and a low-latency user experience with responsive APIs.
- Lead the design and evolution of event-driven microservices workflows, using Kafka for inter-service communication and reliable asynchronous processing (at-least-once delivery, retries, and DLQ patterns).
- Set and uphold engineering standards for the team's Spring Boot services (API design, error handling, security, logging, performance tuning, versioning).
- Partner with product owners and stakeholders to translate monitoring/operational requirements into clear technical designs, delivery plans, and measurable outcomes.
- Design and maintain data access patterns across MySQL and Databricks, including connectivity, data retrieval strategies, and performance-efficient query patterns.
- Establish and evolve the deployment strategy (blue/green, canary, rollback, configuration management) aligned to engineering and operational needs on AWS.
- Own and improve CI/CD pipelines using Jenkins, including automated builds, tests, quality gates, release orchestration, and environment promotions.
- Design, build, and maintain the React-based UI, including performant, data-heavy grid experiences using AG Grid, state management, and frontend quality controls.
- Ensure production readiness through observability (metrics, logs, tracing), alerting, incident response runbooks, and proactive problem management.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns.
- Apply knowledge of SDLC toolchains, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Formal training or certification on software engineering concepts and 5+ years applied experience
- In addition, 2+ years in a technical lead / lead engineer role driving design and delivery with cross-functional partners and being an highly collaborative team player with strong ownership/accountability and a high-energy delivery mindset (bias for action, urgency, excellence)
- Strong hands-on expertise in Java and Spring Boot and strong working proficiency in Python for automation, data access utilities, and developer productivity tooling
- Proven experience designing and operating Kafka-based systems (topics/partitions, consumer groups, ordering, delivery semantics, retries/DLQs).
- Strong MySQL experience (schema design, indexing, query optimization, transactions) and solid data modeling skills
- Familiarity with NoSQL datastores and search technologies (e.g., Elasticsearch) and when to use them
- Working experience with Databricks and practical knowledge of connecting applications to Databricks to retrieve data securely and efficiently.
- 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
- Experience with AWS cloud platforms, including deploying and operating services in a cloud environment
- Hands-on React experience building UIs, including performance optimization for data-heavy screens and grids (e.g., AG Grid) and hands-on experience with Jenkins CI/CD and modern deployment practices (quality gates, automated testing, release management, rollback strategies)
- Deep AWS experience (cloud-native design, security/IAM concepts, networking basics, operational best practices)
- Experience with distributed tracing and observability stacks (e.g., OpenTelemetry patterns, log correlation, SLOs/SLIs)
- Containerization and orchestration experience (Docker and Kubernetes/ECS/EKS) and understanding of deployment tradeoffs
- Infrastructure-as-Code exposure (e.g., Terraform/CloudFormation) and environment standardization practices
- Experience with security and compliance-minded engineering (secrets management, least privilege, secure SDLC, dependency vulnerability management)
- Domain experience in monitoring/telemetry/activity tracking platforms, audit/event pipelines, or operational analytics systems
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.
As a Lead Software Engineer - Data and Payments Data Platform at JPMorgan Chase within the Commercial and Investment Banking - Data Analytics Payment Team, 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 conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Lead the design and delivery of an activity monitoring solution spanning a React UI and Java/Spring Boot backend services, ensuring scalability, resiliency, and a low-latency user experience with responsive APIs.
- Lead the design and evolution of event-driven microservices workflows, using Kafka for inter-service communication and reliable asynchronous processing (at-least-once delivery, retries, and DLQ patterns).
- Set and uphold engineering standards for the team's Spring Boot services (API design, error handling, security, logging, performance tuning, versioning).
- Partner with product owners and stakeholders to translate monitoring/operational requirements into clear technical designs, delivery plans, and measurable outcomes.
- Design and maintain data access patterns across MySQL and Databricks, including connectivity, data retrieval strategies, and performance-efficient query patterns.
- Establish and evolve the deployment strategy (blue/green, canary, rollback, configuration management) aligned to engineering and operational needs on AWS.
- Own and improve CI/CD pipelines using Jenkins, including automated builds, tests, quality gates, release orchestration, and environment promotions.
- Design, build, and maintain the React-based UI, including performant, data-heavy grid experiences using AG Grid, state management, and frontend quality controls.
- Ensure production readiness through observability (metrics, logs, tracing), alerting, incident response runbooks, and proactive problem management.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns.
- Apply knowledge of SDLC toolchains, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Formal training or certification on software engineering concepts and 5+ years applied experience
- In addition, 2+ years in a technical lead / lead engineer role driving design and delivery with cross-functional partners and being an highly collaborative team player with strong ownership/accountability and a high-energy delivery mindset (bias for action, urgency, excellence)
- Strong hands-on expertise in Java and Spring Boot and strong working proficiency in Python for automation, data access utilities, and developer productivity tooling
- Proven experience designing and operating Kafka-based systems (topics/partitions, consumer groups, ordering, delivery semantics, retries/DLQs).
- Strong MySQL experience (schema design, indexing, query optimization, transactions) and solid data modeling skills
- Familiarity with NoSQL datastores and search technologies (e.g., Elasticsearch) and when to use them
- Working experience with Databricks and practical knowledge of connecting applications to Databricks to retrieve data securely and efficiently.
- 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
- Experience with AWS cloud platforms, including deploying and operating services in a cloud environment
- Hands-on React experience building UIs, including performance optimization for data-heavy screens and grids (e.g., AG Grid) and hands-on experience with Jenkins CI/CD and modern deployment practices (quality gates, automated testing, release management, rollback strategies)
- Deep AWS experience (cloud-native design, security/IAM concepts, networking basics, operational best practices)
- Experience with distributed tracing and observability stacks (e.g., OpenTelemetry patterns, log correlation, SLOs/SLIs)
- Containerization and orchestration experience (Docker and Kubernetes/ECS/EKS) and understanding of deployment tradeoffs
- Infrastructure-as-Code exposure (e.g., Terraform/CloudFormation) and environment standardization practices
- Experience with security and compliance-minded engineering (secrets management, least privilege, secure SDLC, dependency vulnerability management)
- Domain experience in monitoring/telemetry/activity tracking platforms, audit/event pipelines, or operational analytics systems
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 42 Platform Engineer Jobs in Jersey City
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Find Platform Engineer JobsPlatform Engineer Job Market in Jersey City
Who's Hiring
- JPMorganChase23
- Lyzr AI5L
- Information Technology Senior Management Forum5
- Citi2
- MUFG2
Top Industries Hiring
- Banking & Financial Services
Platform Engineer Jobs in Jersey City: Frequently Asked Questions
How do I get a platform engineer job in Jersey City?
Focus your search on Jersey City's financial services and fintech firms clustered in the Newport and Harborside business districts, along with enterprise technology shops in the Hudson waterfront corridor. Roles here tend to reward experience with Kubernetes, Terraform, and cloud infrastructure on AWS or GCP. Candidates who can demonstrate work on high-availability, regulated environments stand out, since many Jersey City employers operate under financial industry compliance requirements.
Which companies hire platform engineers in Jersey City?
Companies currently hiring platform engineers in Jersey City include JPMorganChase, Lyzr AI, and Information Technology Senior Management Forum, per current listings on Migrate Mate as of September 2026. Jersey City's employer mix skews heavily toward large financial institutions, fintech scale-ups, and the technology subsidiaries that support them along the Hudson waterfront.
Are there remote platform engineer jobs in Jersey City?
Yes, though availability depends on the role: platform engineering work tied to on-premises infrastructure or regulated financial systems in Jersey City tends to be on-site or hybrid, while cloud-focused and automation-heavy positions are more commonly remote. About 78% of platform engineer openings tied to Jersey City are remote or hybrid as of September 2026. Infrastructure roles supporting trading or compliance systems at Harborside-area firms are most likely to require in-person presence.
How can I get a platform engineer job in Jersey City with little or no experience?
The most realistic entry path in Jersey City is through a junior DevOps or site reliability engineer role at one of the mid-size fintech or cloud services companies operating in the Newport district, where team structures are smaller and career paths more direct. Building demonstrated hands-on experience with CI/CD pipelines, container orchestration, or cloud provisioning through personal projects or open-source contributions makes a strong impression with Jersey City hiring teams. Associate infrastructure or cloud operations roles at financial technology firms also serve as a practical stepping stone.
Which industries hire the most platform engineers in Jersey City?
The sectors hiring the most platform engineers in Jersey City are Banking & Financial Services, based on current listings on Migrate Mate as of September 2026. Jersey City's proximity to Wall Street and its concentration of major financial institutions and their technology operations along the Hudson waterfront make it a particularly active market for platform engineering talent in regulated, high-throughput environments.
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