Jersey City, New Jersey, United States · On-site
$171k–$260k/yr
If you're a Senior Lead Software Engineer who takes ownership of outcomes in production — not just implementation — and thrives on turning ambiguous requirements into stable, well-modeled service designs, this role was b…
Skills: Java, Spring Boot, AWS, Distributed Systems, Terraform
Jersey City, New Jersey, United States · On-site
$100k–$155k/yr
Help advance a data-driven culture at a leading global financial institution by strengthening how data is governed, measured, and communicated. You will support enterprise-wide forums and senior stakeholders by translati…
Skills: Data Governance, Stakeholder Management, Program Management, Executive Reporting, Risk And Controls
Jersey City, New Jersey, United States · Hybrid
Who We Are: Exiger transforms supply chains into a strategic advantage—advancing our mission to make the world a safer and more transparent place to succeed. Our AI platform, 1Exiger, delivers instant visibility into com…
Skills: React, JavaScript, Redux, MobX, HTML5
Jersey City, New Jersey, United States · On-site
$88k–$135k/yr
The Early Career Development Team is responsible for designing the end-to-end journey for the Analysts & Associates in the Asset & Wealth Management Early Careers Program. In the US Private Bank, this role is specificall…
Skills: Program Management, Project Management, Talent Development, Stakeholder Management, Performance Management
Jersey City, New Jersey, United States · Hybrid
$60k–$115k/yr
Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefro…
Skills: Strategic Thinking, Analytical Approach, Business Architecture, Process Reimagination, Current-state Analysis
Jersey City, New Jersey, United States · Hybrid
$75k–$150k/yr
Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefro…
Skills: Product Ownership, Agile Delivery, SQL, Data Analysis, Data Modelling
Jersey City, New Jersey, United States · On-site
$152k–$215k/yr
Bring your Software Engineering experience to the next level and join The Machine Learning Center of Excellence (MLCOE) Team. Join JPMorganChase’s MLCOE to turn cutting-edge AI into production at enterprise scale. The Ma…
Skills: Python, Terraform, AWS Infrastructure as Code, AWS CloudWatch, Amazon S3
Jersey City, New Jersey, United States · On-site
$152k–$215k/yr
Join JPMorganChase’s MLCOE to turn cutting-edge AI into production at enterprise scale. The Machine Learning Center of Excellence (MLCOE) team partners across the firm to create and share Machine Learning Solutions for o…
Skills: Python, SQL, PySpark, TensorFlow, AWS
Jersey City, New Jersey, United States · Hybrid
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise i…
Skills: Master Data Management, Requirement Analysis, Data Governance, Data Modeling, Data Profiling
Jersey City, New Jersey, United States · Hybrid
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise i…
Skills: Master Data Management, Requirement Analysis, Data Governance, Data Quality, Data Modeling
Jersey City, New Jersey, United States · On-site
$164k–$260k/yr
The Legal Applied AI/ML team in Corporate Technology at JPMorgan Chase focuses on solving challenging business problems such as semantic search, question answering, document analysis, automation of service inquiries thro…
Skills: Generative AI, Large Language Models, Python, SQL, PyTorch
Jersey City, New Jersey, United States · Hybrid
$130k–$195k/yr
Job Description The Payments Technology Strategy Lead will be responsible for driving and supporting global payments technology transformation programs. A key focus will be continuing to help shape and improve the curren…
Skills: Technology Strategy, Agile Methodology, Change Management, Stakeholder Management, Executive Communication
Jersey City, New Jersey, United States · Hybrid
$177k–$265k/yr
The AI Transformation Group Manager is a senior management-level position responsible for leading and transforming the technology organization that builds and operates Master and Reference Data capabilities across Citi's…
Skills: AI Transformation Strategy, Generative AI, LLM Integration, Scala, Python
Jersey City, New Jersey, United States · Hybrid
$140k–$140k/yr
Company Profile: Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwi…
Skills: Media Attribution Modeling, SQL, Python, R, Excel
Stamford, Connecticut, United States · Hybrid
$100k–$168k/yr
Who we are looking for State Street cyber architecture & engineering is looking for for a Data Engineer to design and implement data models across relational, graph, and lakehouse systems using AWS RDS, AWS Neptune, and …
Skills: AWS RDS, AWS Neptune, Databricks, PySpark, GraphRAG
Chandler, Arizona, United States · Hybrid
$135k–$217k/yr
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, t…
Skills: Financial Management, Influence, Solution Delivery Process, Stakeholder Management, Technical Strategy Development
Jersey City, New Jersey, United States · On-site
$160k–$225k/yr
Job Description What is the opportunity? The Margin Product Owner is responsible for defining, prioritizing, and guiding the development of margin management products and capabilities to maximize value and alignment with…
Skills: Agile Product Development, Communication, Customer Service, Customer Success, Decision Making
Chandler, Arizona, United States · Hybrid
$135k–$217k/yr
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, t…
Skills: Financial Management, Influence, Solution Delivery Process, Stakeholder Management, Technical Strategy Development
Pennington, Alabama, United States · Hybrid
$105k–$167k/yr
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, t…
Skills: Python, Machine Learning, AI, PowerShell, SharePoint Development
Chicago, Illinois, United States · On-site
$81k–$182k/yr
Amazon's Worldwide Grocery Stores, Growth & Development team is seeking a Sr. Construction Program Manager, a leader who combines deep construction industry expertise with the strategic vision and operational rigor neede…
Skills: Construction Program Management, Procore Governance, Strategic Vision, Operational Rigor, SOP Development
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Design and implement high-performance, low-latency distributed services using Java Spring Boot and AWS to support AI/ML data platforms. Lead technical design reviews and mentor engineers while owning production outcomes and reliability for enterprise-scale systems.
Requires 5+ years of software engineering experience with strong expertise in Java, Spring Boot, and AWS cloud services. Must demonstrate proficiency in containerization, infrastructure-as-code, and the use of AI-assisted development tools.
If you're a Senior Lead Software Engineer who takes ownership of outcomes in production — not just implementation — and thrives on turning ambiguous requirements into stable, well-modeled service designs, this role was built for you. You will have meaningful latitude to influence architecture, engineering standards, and reliability posture across services, with expectations and recognition aligned to senior-level impact.
As a Senior Lead Software Engineer at JPMorganChase within the Corporate AI/ML Data Platforms – Machine Learning Center of Excellence, you will design, build, and optimize high-performance, low-latency distributed systems that serve as the backbone of our machine learning and data infrastructure. You will collaborate across engineering, data science, and platform teams to deliver resilient, cloud-native solutions that enable the firm to operate at the forefront of AI-driven innovation. Your work will directly shape the reliability, scalability, and performance of systems that process critical data across the enterprise, and your voice will carry weight in the architectural and engineering decisions that define how the platform evolves.
Job responsibilities
Architects and implements low-latency, high-throughput Java Spring Boot based distributed services, using object-oriented principles, that meet the performance demands of production-grade services with strong well-defined APIs
Designs and builds resilient, cloud-native service architectures with strong high-availability (HA) requirements, from 3 to 5 nines, leveraging standard AWS compute, messaging, streaming, DB and storage services like MSK (Kafka), SQS, S3, ECS, EKS, Lambda, KVS/KDS, RDS, Dynamo, Redshift, and S3.
Develops and maintains infrastructure-as-code solutions using Terraform and/or CloudFormation to support scalable, repeatable, and auditable cloud deployments
Implements and continuously improves observability solutions — including alerting, monitoring, and reporting — using Datadog, Dynatrace, and Splunk to deliver actionable production intelligence across microservices platforms
Translates ambiguous or evolving requirements into stable, well-modeled service designs, clearly articulating engineering tradeoffs to both technical and non-technical stakeholders
Leads technical design reviews, establishes engineering best practices, and drive adoption of standards that improve platform operability, reliability, and maintainability
Owns production outcomes end-to-end — identifying and resolving performance bottlenecks, reliability gaps, and scalability constraints through automation and runbook-driven operations
Partners with machine learning engineers and data scientists to understand platform requirements and deliver robust, production-ready engineering solutions
Mentors and provides technical guidance to engineers across the team, fostering a culture of ownership, continuous learning, and engineering excellence
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years’ applied experience; very strong Java development skills using object-oriented principles, with strong experience using Spring Boot
Demonstrated experience designing and tuning for low-latency processing in production distributed systems
Hands-on experience leveraging standard AWS compute, messaging, streaming, DB and storage services like MSK (Kafka), SQS, S3, ECS, EKS, Lambda, KVS/KDS, RDS, Dynamo, Redshift, and S3 in large-scale, resilient service architectures
Practical experience implementing alerting, monitoring, and reporting solutions using Datadog, Dynatrace, and/or Splunk in production-grade environments
Strong engineering fundamentals including API design, testing discipline, and debugging in production contexts
Strong ability in one or more modern programming languages (e.g., Java, Python, Go, Rust) with heavy emphasis on Java, writing clean, maintainable, OO, and testable code
Develops and maintains infrastructure-as-code solutions using Terraform and/or CloudFormation to support scalable, repeatable, and auditable cloud deployments
Strong experience with containerization and orchestration technologies, including Docker and Kubernetes
Demonstrated ability to communicate engineering tradeoffs clearly to both technical and non-technical stakeholders
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
Preferred qualifications, capabilities, and skills
Deep familiarity with low-latency, highly transactional architectures and advanced usage of AWS managed services (KVS/KDS) — particularly for real-time processing, distributed event handling, and efficient data storage and retrieval
Expertise designing and automating observability and reporting workflows using Datadog, Dynatrace, and Splunk to deliver actionable monitoring and production intelligence across microservices platforms
Experience with modern delivery practices including continuous integration and delivery, infrastructure-as-code, and containerized deployments that support reliable service delivery at scale
Experience with Terraform and/or CloudFormation for building and maintaining cloud infrastructure in an enterprise environment
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
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services. Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Offices: 270 Park Avenue, New York, NY 10017-2014, US · 101 Duncan Mill Road, Toronto, ON M3B1Z3, CA · 2200 Ross Ave, Dallas, TX 75201, US · Kadubeesanahalli Circle, Bengaluru, Karnataka 560103, IN · 370 S Cleveland Ave, Westerville, OH 43081, US
Based on 216 listings with disclosed salaries, most data & analytics jobs in Jersey City, NJ pay between $100k–$215k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 253 open data & analytics positions in Jersey City, NJ listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include JPMorganChase, Fidelity Investments, Amazon, Citi, Bank of America, among others. Browse the listings above to see every active employer.
Yes — 110 of the 253 open data & analytics positions offer remote or hybrid work (17 remote, 93 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
