Top 332 Model maker Jobs in Atlanta, Ga

VP, Global Engineering and Automation Enablement
Resolution Technologies —Dunwoody, GA
- Azure
- System design
- Continuous improvement
Model Maker/Prototyper
Newell Brands —Atlanta, GA
- Customer service
- 5 years
- Writing skills
Quick Apply
Cybersecurity Client Relationship & Sales Support Specialist
Accenture —Atlanta, GA
- $59,100 - $154,800 a year
- Full-time
- Hybrid work
- Mid-level
- 3 years
- US work authorization
- Paid holidays
- Disability insurance
Content Operations Manager, CNN
Warner Bros. Discovery —Atlanta, GA
- $63,000 - $117,000 a year
- Full-time
- 6 years
- Senior level
- Communication skills
- Wellness program
- Paid holidays
Google Cloud Mid-Market Sales Development Representative
Accenture —Atlanta, GA
- $24.42 - $42.84 an hour
- Full-time
- Hybrid work
- CRM software
- DevOps
- Mid-level
- Paid holidays
- Disability insurance
Medical Science Liaison, IgG4 - Rare Disease - Georgia
Amgen —Atlanta, GA
- $156,998.40 - $212,409.60 a year
- Mid-level
- Bachelor's degree
- Doctor of Philosophy
- Disability insurance
- Health insurance
11h
Solution Engineer - Employer Services & HR Tech
Equifax —Atlanta, GA
- $135,000 - $165,000 a year
- Full-time
- 7 years
- Bachelor's degree
- Product management
- Health insurance
- Paid time off
15h
Customer Success Manager (Services)
Intuit —Atlanta, GA
- $126,000 - $187,500 a year
- Mid-level
- 3 years
- Presentation skills
1d
Instructional Technology and Innovation Lab Manager - Bagwell College of Education, School of Instructional Technology
Kennesaw State University —Kennesaw, GA
- $65,400 - $80,000 a year
- Full-time
- Background check
- 5 years
- Pass drug screening
- Paid holidays
- Health insurance
Budget & Policy Analyst
University Systems of Georgia —Atlanta, GA
- Full-time
- Background check
- Mid-level
- Office
Commercialization Expert
CLEAResult Consulting Inc. —Atlanta, GA
- $120,000 - $140,000 a year
- Full-time
- Remote
- Analysis skills
- Travel
- US work authorization
- Health insurance
- Dental insurance
Quick Apply
Principal Automation Systems Engineer, NA
Vantage Data Centers Management Company LLC —Atlanta, GA
- $155,000 - $165,000 a year
- Full-time
- Hybrid work
- Ability to climb stairs
- Quality control
- Travel
- AD&D insurance
- Disability insurance
Quick Apply
Director Preconstruction
Titan Electric —Atlanta, GA
- Full-time
- Bachelor's degree
- Mentoring
- Senior level
- Health savings account
- Paid holidays
Quick Apply
Director of Sales - K-12 EdTech (NC/SC/GA)
Beable Education, Inc. —Georgia
- $95,000 - $120,000 a year
- Full-time
- Background check
- Bachelor of Science
- Bachelor's degree
- Health savings account
- Health insurance
Quick Apply
1d
Client Partner
Nextdoor —Atlanta, GA
- $92,500 - $220,000 a year
- Remote
- Organizational skills
- Fair chance
- Senior level
- Health insurance
- Work from home
Quick Apply
8d
Account Executive- Expansion
New Relic —Atlanta, GA
- $202,000 a year
- Email
- Remote
- Mid-level
- Criminal background check
- Travel
- Paid holidays
- Health insurance
Economic Development Analyst
City Of Roswell —Roswell, GA
- $72,242.16 - $93,912.56 a year
- Full-time
- 5 years
- Mid-level
- Office
Quick Apply
Solutions Engineer
Oden Technologies —Atlanta, GA
- $95,000 - $160,000 a year
- Full-time
- Remote
- Windows
- SQL
- Analysis skills
Sr. Decision Analyst, Experimentation
Home Depot / THD —Atlanta, GA
- 18 years or older
- Computer science
- 6 years
Account Executive - Specialty Finance
Equifax —Atlanta, GA
- $89,020 - $111,000 a year
- Full-time
- 5 years
- Research
- Business development
- Health insurance
- Paid time off

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model maker jobs near atlanta, ga

VP, Global Engineering and Automation Enablement

Resolution Technologies -
Dunwoody, GA

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Job Details

Qualifications

AI models
System design
Scalable systems
Microservices
Event-driven architecture
Machine intelligence
Design engineering
Systems engineering
Cloud Native Design
Scalability
Cloud automation
Machine learning (ML) fundamentals
Distributed computing
AI-driven automation
Design (software development lifecycle)
Senior leadership

Full Job Description

VP, Global Engineering and Automation Enablement

***This role is onsite.***

VP, Global Engineering and Automation Enablement Role Overview
We are seeking a senior Technology Leader to own the architecture, scalability, and intelligent automation of our core FinTech platforms. This role is responsible for designing large-scale, cloud-native, distributed systems while leveraging AI-driven automation to improve platform efficiency, reliability, and operational scale.
The ideal candidate combines deep expertise in platform architecture and distributed systems with a strong point of view on using AI to automate infrastructure operations, optimize performance, and enable predictive, self-healing platforms. This is a highly technical leadership role with material influence over how the platform scales as the business grows.
VP, Global Engineering and Automation Enablement Key Responsibilities
Platform Architecture & Technical Strategy

Own the end-to-end platform architecture supporting core FinTech products and transaction flows
Define architectural standards for scalability, performance, resiliency, and system composability
Lead evolution from tightly coupled or monolithic systems toward distributed, service-oriented platforms
Establish clear system boundaries, ownership models, and architectural governance
Define and execute a multi-year platform roadmap aligned with growth, transaction scale, and product velocity

Scalability & Distributed Systems

Design platforms capable of handling high transaction volumes, burst traffic, and sustained throughput
Guide horizontal scaling strategies across compute, storage, data, and messaging layers
Lead architectural decisions around sharding, partitioning, caching, asynchronous processing, and concurrency
Continuously improve latency, throughput, and resource efficiency across the platform
Enable multi-region and multi-environment scalability where required

Cloud & Infrastructure Architecture

Architect cloud platforms (AWS, Azure, or GCP) optimized for scale, availability, and operational efficiency
Define reference architectures for containerized workloads, microservices, and distributed runtimes
Lead Kubernetes and container platform adoption and standardization
Mature Infrastructure as Code (Terraform, CloudFormation, etc.) for consistent, scalable environments
Own capacity modeling, growth forecasting, and infrastructure lifecycle planning

AI-Driven Automation & Intelligent Platforms

Apply AI and machine learning techniques to automate platform operations and decision-making
Use AI for:
- Capacity forecasting and demand prediction
- Anomaly detection in platform performance and system behavior
- Automated root-cause analysis and incident correlation
- Predictive scaling and infrastructure optimization
Drive adoption of self-healing platform patterns where systems can respond automatically to failure or degradation
Enable data pipelines, feature stores, and runtime environments required to support AI-enabled platform services
Partner with data and engineering teams to productionize AI capabilities within core platform workflows

Platform Engineering & Developer Enablement

Build shared platform capabilities that abstract complexity and enable product teams to scale independently
Provide self-service infrastructure, golden paths, and opinionated platform tooling
Standardize CI/CD, runtime environments, observability, and deployment patterns
Reduce friction and cognitive load for application teams through strong platform design
Measure and improve developer experience as a platform outcome

Reliability, Performance & Intelligent Operations

Lead SRE practices focused on scalability, automation, and operational maturity
Define and track SLIs/SLOs centered on throughput, latency, availability, and platform health
Establish advanced observability (metrics, tracing, logging) as inputs to AI-driven insights
Lead analysis of scaling failures, performance bottlenecks, and systemic inefficiencies
Drive continuous improvement toward predictable, automated, and resilient operations

Required Qualifications

10+ years of experience designing and operating large-scale distributed systems
5+ years in senior technical leadership roles (Director, Principal, VP, or equivalent)
Deep expertise in platform architecture, cloud-native design, and system scalability
Strong hands-on experience with AWS, Azure, or GCP
Proven experience with microservices, event-driven architectures, and distributed data systems
Solid background in Infrastructure as Code and automation-first platform design
Experience applying AI/ML concepts to operational or platform use cases

Preferred Qualifications

Experience with high-volume transaction processing or real-time systems
Strong Kubernetes and container platform experience
Experience with event streaming platforms (Kafka or equivalent)
Background modernizing legacy platforms at scale
Experience with AI-assisted operations, AIOps, or intelligent monitoring platforms

Key Competencies

Systems-level architectural thinking with a strong scalability mindset
Ability to blend platform engineering and AI automation into practical solutions
Technical credibility with senior engineers, architects, and leadership
Pragmatic decision-maker who balances ideal architecture with real-world constraints
Strong communicator who can translate technical strategy into business impact

30-60-90 Day Success Plan
First 30 Days – Understand & Assess

Develop deep understanding of current platform architecture and scaling limits
Review system topology, transaction paths, and performance characteristics
Identify opportunities for automation, AI-driven optimization, and architectural simplification
Build strong relationships across engineering, data, and product leadership

Days 31–60 – Architect & Automate

Define target-state platform architecture with explicit scalability patterns
Prioritize architectural improvements with the highest scale and automation leverage
Introduce AI-enabled insights into observability, capacity, or incident analysis
Establish platform standards, reference architectures, and design principles

Days 61–90 – Scale & Industrialize

Deliver measurable improvements in throughput, latency, and platform stability
Advance automation toward self-service, self-scaling, and self-healing capabilities
Roll out platform-level AI automation for operations and performance optimization
Finalize a multi-year platform and AI-automation roadmap
Establish a culture of building intelligent systems designed to scale by default

#RT
#DICEJOBS

teraform,IAC

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Refine Your Search

model maker jobs in atlanta, ga

VP, Global Engineering and Automation Enablement

Model Maker/Prototyper

Cybersecurity Client Relationship & Sales Support Specialist

Content Operations Manager, CNN

Google Cloud Mid-Market Sales Development Representative

Medical Science Liaison, IgG4 - Rare Disease - Georgia

Solution Engineer - Employer Services & HR Tech

Customer Success Manager (Services)

Instructional Technology and Innovation Lab Manager - Bagwell College of Education, School of Instructional Technology

Budget & Policy Analyst

Commercialization Expert

Principal Automation Systems Engineer, NA

Director Preconstruction

Director of Sales - K-12 EdTech (NC/SC/GA)

Client Partner

Account Executive- Expansion

Economic Development Analyst

Solutions Engineer

Sr. Decision Analyst, Experimentation

Account Executive - Specialty Finance

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