Top 91 Full stack developer java, microservices, angular Jobs in Hamilton, Oh

Cyber Full Stack Manager
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Forward Deployed Engineer- Palantir
Deloitte —Cincinnati, OH
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Lead Forward Deployed Engineer, Palantir
Deloitte —Cincinnati, OH
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Accenture —Cincinnati, OH
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Cyber Forward Deployed Engineer - Senior Consultant
Deloitte —Cincinnati, OH
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Unlimited Systems —Cincinnati, OH
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Cyber Identity - PlainID/PBAC Senior Engineering Management Specialist/Senior Consultant
Deloitte —Cincinnati, OH
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Backend Modernization Engineer III / US Citizens and GC Candidates Only
Hudson Manpower —Cincinnati, OH
- $50 - $55 an hour
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Workflow Architect
KPI Solutions —Cincinnati, OH
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Commerce Architecture & Delivery Senior Manager I Agentic Commerce
Accenture —Cincinnati, OH
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- 11+ years
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Salesforce CTA, Associate Vice President
Deloitte —Cincinnati, OH
- $171,500 - $292,000 a year
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- Computer science
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AI Native Software Engineering Manager
Accenture —Cincinnati, OH
- $87,400 - $305,000 a year
- Full-time
- Hybrid work
- Mid-level
- 3 years
- Java
- Paid holidays
- Disability insurance
Forward Deployed Engineer- ServiceNow
Deloitte —Cincinnati, OH
- $134,500 - $265,100 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
Director, Software Engineering: Retail Platform Delivery (ELERA)
Toshiba Global Commerce Solutions - External —Cincinnati, OH
- On call
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- Senior level
- Paid holidays
- Health insurance
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Cloud Native Senior Developer
Great American Insurance Company —Cincinnati, OH
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- Commuter assistance
- Employee stock purchase plan
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Cyber Full Stack Manager

Deloitte -
Cincinnati, OH

Apply Now

Job Details

Full-time
$148,200 - $292,300 a year
10 days ago

Qualifications

AI models
Roadmap creation (System development task)
Version control
Customer communication
Technical engineering
Requirements specification
Continuous Delivery (CD) implementation
Requirements design
Managing projects in an engineering role
Product roadmapping
Enterprise solutions implementation
Application deployment
Managing IT teams
Team development
Managing client accounts
Technical solutions implementation
Machine intelligence
Model deployment
Requirements analysis
Developing large-scale AI models
Mentoring
Cloud Native Design
Leading team collaboration initiatives
Managing projects
DevOps automation
Managing software development teams
Implementing IT solutions

Full Job Description

As a Full Stack Engineer Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will operate at the intersection of client-facing advisory, product engineering, and hands-on technical delivery. You will help clients address complex challenges across digital trust, online protection, privacy, artificial intelligence governance, and data protection by translating business and regulatory requirements into scalable, production-grade technology solutions.

Full Stack Engineers work directly in client environments to architect, build, integrate, deploy, and improve solutions. Depending on the engagement, you may develop trust and safety capabilities, implement product compliance controls, operationalize privacy-by-design practices, build governance for generative or agentic AI, or deploy data protection and cryptographic solutions. These capabilities support Deloitte's broader Digital Trust & Privacy mission: helping organizations build confidence in their digital products, platforms, services, data practices, and customer interactions.

This role is designed for a technically strong consultant who can move from ambiguity to implementation, collaborate with product and engineering teams, and communicate effectively with business, security, privacy, legal, and compliance stakeholders.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Manager, Strategy, Growth and Transformation on the Digital Trust & Privacy team, you will be responsible for:

Translating client business objectives, risk requirements, and policy expectations into technical architectures, product requirements, engineering backlogs, and implementation plans
Leading the design, development, integration, deployment, testing, and troubleshooting of production-grade solutions within client environments, including artificial intelligence (AI) and generative AI (GenAI)-enabled capabilities, technical guardrails, and data protection integrations
Building application programming interfaces (APIs), automations, workflows, integrations, dashboards, and other technical components, while embedding governance into development and deployment workflows through automated checkpoints, controls-as-code, policy enforcement, and continuous monitoring
Prototyping and iterating rapidly with clients and internal specialists to validate approaches, shape solution direction, and support pursuits through demonstrations, proofs of concept, estimates, and pricing inputs
Managing client delivery across scope, timelines, quality, client satisfaction, financials, and continuous improvement, while resolving implementation, integration, data, and deployment challenges
Leading multidisciplinary teams and building reusable accelerators, documentation, knowledge transfer, and engineering best practices across engagements

A successful candidate would possess these skills:

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to mentor and provide clear guidance to others

The team

Deloitte Cyber's Digital Trust & Privacy practice helps organizations build and sustain confidence in their digital products, platforms, services, data practices, and customer experiences. Our work brings together digital trust, online protection, privacy, AI governance, identity, data protection, cybersecurity, and regulatory compliance capabilities.

The Full Stack Engineer team is a multidisciplinary engineering group that turns these capabilities into practical solutions. We work alongside client product, engineering, security, privacy, data, risk, compliance, and business teams to move from strategy and policy to implementation and measurable outcomes.

Our work may include:

Helping digital platforms improve trust and safety and address online harms
Enabling product teams to meet privacy and product compliance expectations
Building technical governance and guardrails for generative and agentic AI
Protecting sensitive data across cloud, collaboration, application, and enterprise environments
Implementing data discovery, classification, data loss prevention (DLP), encryption, public key infrastructure (PKI), and related cryptographic capabilities
Developing Deloitte products and accelerators that make complex digital trust and privacy capabilities easier to deploy and operate

The team values technical curiosity, practical problem solving, disciplined engineering, client empathy, and the ability to make complex requirements actionable.

Qualifications

Required:

Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or equivalent demonstrated experience
7+ years of experience translating client requirements into target-state solution architectures using Representational State Transfer (REST) application programming interfaces, microservices, event-driven architectures, or serverless components
7+ years of experience building and deploying production-grade solutions using Python, Java, or Node.js, and 2+ years of experience delivering solutions on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), including containers, continuous integration and continuous delivery (CI/CD) pipelines, and version control tools
1+ years of experience designing or deploying generative artificial intelligence (AI) or large language model (LLM) solutions in a client or production environment, including experience delivering, governing, or operationalizing generative AI, LLM, or agentic AI solutions
Experience in one or more of the following: digital trust and online protection, trust and safety, security, product compliance, privacy, AI governance, data protection, or cryptography; and experience leading technical workstreams, multidisciplinary teams, or engineering delivery teams; managing delivery scope, timelines, quality, risks, dependencies, and client communications; coaching or mentoring other professionals; and shaping pursuits, estimates, prototypes, technical demonstrations, or solution proposals
Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.

Preferred:

Experience with JavaScript or TypeScript and React or Next.js for application or demo development
Experience developing or deploying technical controls for generative AI, LLM, or agentic AI applications
Experience with AI use-case inventories, risk tiering, human oversight, tool access controls, prompt-injection mitigations, logging, monitoring, or controls-as-code
Experience in regulated industries such as financial services, healthcare, or public sector environments, including work aligned to Sarbanes-Oxley (SOX), Payment Card Industry Data Security Standard (PCI DSS), Federal Financial Institutions Examination Council (FFIEC), Health Insurance Portability and Accountability Act (HIPAA), or General Data Protection Regulation (GDPR)
Experience with Kubernetes, GitOps, Elasticsearch, OpenSearch, Neo4j, PyTorch, or TensorFlow
Experience owning product roadmaps, technical backlogs, or reusable engineering assets, and experience working with senior client stakeholders to facilitate architecture or risk decisions

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $148,200 to $292,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#CyberDTP27

Apply Now

Refine Your Search

full stack developer java, microservices, angular jobs in hamilton, oh

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