Top 109 Full stack developer java, microservices, angular Jobs in Hamilton, Oh

Senior Forward Deployed Engineer - Databricks
Deloitte —Cincinnati, OH
- $155,600 - $306,800 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
Google Infrastructure and Security Lead Architect
Deloitte —Cincinnati, OH
- $141,200 - $278,300 a year
- Full-time
- 7 years
- Computer Science
- Up to 50% travel
10d
Salesforce CTA, Associate Vice President
Deloitte —Cincinnati, OH
- $171,500 - $292,000 a year
- Full-time
- Computer science
- Management
- Computer Science
Cloud Native Senior Developer
Great American Insurance Company —Cincinnati, OH
- Full-time
- Computer science
- Azure
- Computer Science
- Commuter assistance
- Employee stock purchase plan
Quick Apply
10d
Salesforce Commerce Cloud - Sr. SFCC Backend Engineer
Vytwo —United States
- Full-time
- Remote
- 8 years
- Mentoring
- Senior level
Quick Apply
Meanstack Architect with DevOps exp
Vytwo —United States
- $45 - $50 an hour
- Full-time
- Remote
- Computer science
- Azure
- Computer Science
Quick Apply

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Technical Delivery Lead - Data & Agentic Transformation, Google Cloud
Accenture —Cincinnati, OH
Partner with solution engineers who own the technical architecture; you own how it gets executed and shipped. Provide technical advisory across the engagement —…
$87,400 - $266,300 a year
Google Infrastructure and Security Lead Architect
Deloitte —Cincinnati, OH
Bachelor's degree in computer science, Information Technology, Cybersecurity, or a closely related technical field (or equivalent practical experience).
$141,200 - $278,300 a year
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Senior Forward Deployed Engineer - Databricks

Deloitte -
Cincinnati, OH

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Job Details

Full-time
$155,600 - $306,800 a year

Qualifications

AI models
Software engineering
Databricks
Project management experience in technology
Enterprise solutions implementation
AI platforms (beyond public GPTs)
Production systems
Model deployment
Software documentation
Leading team collaboration initiatives
Implementing IT solutions
Generative AI
Data analytics technologies

Full Job Description

At Deloitte, Senior Forward Deployed Engineers (SFDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on September 30, 2026

Work you'll do

As a Senior Databricks FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
Lead working sessions to shape solutions and drive client outcomes.
Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
Contribute independently within an FDE pod while mentoring newer team members.
Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

Solution Engineering

Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
Design extensible functionality, support sprint sizing, and align solutions with senior team members.

The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
5+ years of experience in software engineering, data engineering, data science, or analytics engineering.
1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
1+ years of experience with Databricks including hands on experience with one of the following key platform technologies; DBRX, MLflow, Vector Search, Databricks AI Gateway
1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
1+ years of experience building reliable, maintainable, and well-documented code o
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
Limited immigration sponsorship may be available

Preferred qualifications

Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
Experience operating within hybrid onshore/offshore teams
Familiarity with security, privacy, and compliance considerations

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 $ 155,600 to $306,800.

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.

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

Senior Forward Deployed Engineer - Databricks

Google Infrastructure and Security Lead Architect

Salesforce CTA, Associate Vice President

Cloud Native Senior Developer

Salesforce Commerce Cloud - Sr. SFCC Backend Engineer

Meanstack Architect with DevOps exp

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