Aws Engineer Jobs in New Jersey
Aws Engineer jobs in New Jersey are among the most active in the Northeast, with demand concentrated in financial services, pharmaceuticals, defense contracting, and enterprise technology firms at levels from entry-level cloud associate through senior architect. Newark, Jersey City, and Princeton are the primary hiring metros, anchored by established employers such as Prudential Financial, Johnson & Johnson, and Cognizant. The most in-demand specialties include cloud infrastructure automation, DevOps pipeline management, and AWS security and compliance engineering. Find a role that fits below and apply directly.
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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 Senior Lead Software Engineer at JPMorganChase within the Firmwide AI/ML Deployment Platform team, you are an integral part of a globally distributed team — spanning Glasgow, London, New Jersey, and India — that works to architect, build, and own the infrastructure that makes model deployment work at scale. You'll operate with significant autonomy: owning technical direction, engaging directly with US-based clients, and making architectural decisions with real production consequences. We build the control plane, APIs, monitoring, and deployment infrastructure that internal teams depend on. The platform is always evolving — new regions, new failure modes, new scale requirements. If you like owning problems end-to-end, making hard tradeoffs, and shipping systems that other engineers build on top of, you'll fit in.
Job responsibilities
- Drive architectural vision for platform components: control plane integration, multi-region deployment, and disaster recovery
- Design and implement APIs for retraining, scheduling, endpoint deployment, and autoscaling
- Build infrastructure for seamless integration across control plane and client accounts
- Engage directly with US-based clients — requirements, strategic solutioning, and debugging
- Make independent architectural decisions and own technical tradeoffs with minimal oversight
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- 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
- Industry experience as a platform engineer, leading large-scale platform infrastructure delivery
- Deep AWS expertise covering networking (VPCs, DNS, cross-account connectivity, service mesh), scalability, multi-account architectures, and security
Strong hands-on proficiency in Golang or Python - Advanced Terraform and HCL skills including module design, state management, and multi-region, multi-account delivery
Production experience with Kubernetes / EKS at scale - Hands-on experience with AWS Sagemaker for model deployments and inference
- Strong DevOps background with complex CI/CD pipelines, infrastructure automation, and deployment strategies
- Self-directed: you make architectural decisions and drive to outcomes with minimal oversight
- 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
- Experience with LLM model benchmarking, evaluation, and performance optimization
- Comfort with ambiguity and greenfield architecture where no existing playbook applies
- Security expertise including threat modelling, secure infrastructure design, and compliance in cloud-native environments
- Industry-recognized certifications (e.g., AWS Solutions Architect, AWS DevOps Engineer)
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.
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 Senior Lead Software Engineer at JPMorganChase within the Firmwide AI/ML Deployment Platform team, you are an integral part of a globally distributed team — spanning Glasgow, London, New Jersey, and India — that works to architect, build, and own the infrastructure that makes model deployment work at scale. You'll operate with significant autonomy: owning technical direction, engaging directly with US-based clients, and making architectural decisions with real production consequences. We build the control plane, APIs, monitoring, and deployment infrastructure that internal teams depend on. The platform is always evolving — new regions, new failure modes, new scale requirements. If you like owning problems end-to-end, making hard tradeoffs, and shipping systems that other engineers build on top of, you'll fit in.
Job responsibilities
- Drive architectural vision for platform components: control plane integration, multi-region deployment, and disaster recovery
- Design and implement APIs for retraining, scheduling, endpoint deployment, and autoscaling
- Build infrastructure for seamless integration across control plane and client accounts
- Engage directly with US-based clients — requirements, strategic solutioning, and debugging
- Make independent architectural decisions and own technical tradeoffs with minimal oversight
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- 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
- Industry experience as a platform engineer, leading large-scale platform infrastructure delivery
- Deep AWS expertise covering networking (VPCs, DNS, cross-account connectivity, service mesh), scalability, multi-account architectures, and security
Strong hands-on proficiency in Golang or Python - Advanced Terraform and HCL skills including module design, state management, and multi-region, multi-account delivery
Production experience with Kubernetes / EKS at scale - Hands-on experience with AWS Sagemaker for model deployments and inference
- Strong DevOps background with complex CI/CD pipelines, infrastructure automation, and deployment strategies
- Self-directed: you make architectural decisions and drive to outcomes with minimal oversight
- 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
- Experience with LLM model benchmarking, evaluation, and performance optimization
- Comfort with ambiguity and greenfield architecture where no existing playbook applies
- Security expertise including threat modelling, secure infrastructure design, and compliance in cloud-native environments
- Industry-recognized certifications (e.g., AWS Solutions Architect, AWS DevOps Engineer)
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.
See All 22 Aws Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Aws Engineer JobsAws Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Aws Engineer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
- JPMorganChase16
- CCL1
- Broadridge1
- Ipivot1
- Intone Networks1
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
What New Jersey Employers Look For
The qualifications that appear most often in aws engineer jobs across New Jersey.
- AWS Certified Solutions Architect or equivalent certification recognized by New Jersey employers
- Hands-on experience designing and deploying cloud infrastructure using core AWS services
- Proficiency with infrastructure-as-code tools such as Terraform or AWS CloudFormation
- Experience with CI/CD pipelines and DevOps practices in enterprise environments
- Strong understanding of networking, security, and compliance within AWS environments
- Bachelor's degree in computer science, information technology, or a related technical field
Aws Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become a aws engineer in New Jersey?
There is no state-issued license required to work as an aws engineer in New Jersey. Most employers expect a bachelor's degree in computer science, information technology, or a related field, combined with vendor credentials such as AWS Certified Solutions Architect or AWS Certified Developer. Building practical experience through cloud projects, internships, or adjacent roles in systems administration or software development is the most common path into the field in New Jersey.
How much do aws engineers make in New Jersey?
Aws engineers in New Jersey earn a median of about $162,350 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $101,730 for the lowest 10% to over $213,630 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire aws engineers in New Jersey?
Employers hiring aws engineers in New Jersey right now include JPMorganChase, CCL, and Broadridge, based on current listings on Migrate Mate as of October 2026. New Jersey's concentration of financial services, life sciences, and defense technology firms makes it one of the more active states for cloud engineering roles year-round.
Which New Jersey cities have the most aws engineer jobs?
The cities with the most aws engineer openings in New Jersey are Jersey City, Newark, and Morris Plains. Newark and Jersey City draw the bulk of openings because of their proximity to major financial institutions and large enterprise technology employers, while Princeton and its surrounding corridor attract demand from pharmaceutical companies and research-driven organizations with significant cloud infrastructure needs.
Are there remote aws engineer jobs in New Jersey?
Yes, and more than most fields. About 50% of aws engineer openings tied to New Jersey are remote or hybrid as of October 2026, reflecting the desk-based and infrastructure-focused nature of the work. Architecture, automation, and cloud operations tasks are the most commonly performed remotely, while client-facing implementation projects and regulated-industry roles tend to require at least some on-site presence.
How can I get hired as a aws engineer in New Jersey with little or no experience?
The most realistic entry path is through a cloud support or junior DevOps role, which many New Jersey-based technology consulting firms and financial services companies use as a starting point for candidates without direct AWS engineering experience. Earning the AWS Cloud Practitioner certification demonstrates foundational knowledge and gives candidates a measurable edge. Large employers and staffing firms in the Newark and Jersey City corridor regularly hire associates from systems administration and IT operations backgrounds who can demonstrate hands-on cloud exposure through personal projects or lab environments.
Where can I find and apply to aws engineer jobs in New Jersey?
You can find and apply to aws engineer jobs in New Jersey on Migrate Mate, which lists current openings tied to the state. Search the listings to see roles that match your experience level and location preference, then apply directly to the ones that fit.
See All 22 Aws 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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