Top 14393 Platform engineer Jobs in Remote*

AI Platform Engineer
Fullthrottle.ai —Remote
- Full-time
- Remote
- Computer Science
- Bachelor's degree
- Senior level
Quick Apply
Platform Engineer (Remote)
KOHLS —Menomonee Falls, WI
- Remote
- Computer science
- Computer Science
- System design
12d
Sr. Platform Engineer
Wrench.ai Inc —Remote
- $120,735.63 - $180,000.00 a year
- Temporary
- Remote
- Background check
- System design
- Senior level
- Health insurance
- Dental insurance
Quick Apply
13d
Cloud / Platform Engineer (Kubernetes, GCP, AWS)
Supero —Remote
- From $160,000 a year
- Full-time
- Remote
- System design
- Mid-level
- Internship
Quick Apply
7h
Senior Platform Engineer
Mux —Remote
- $190,000 - $235,000 a year
- Full-time
- Office
- Databases
- APIs
- Paid parental leave
- Health savings account
Platform Engineer
Suncoast Credit Union —Tampa, FL
- $110,000 - $150,000 a year
- Full-time
- Remote
- Mid-level
- 3 years
- AWS
- Paid parental leave
- Paid holidays
Staff Platform Engineer
Calendly —Remote
- $286,762 - $347,488 a year
- Full-time
- Hybrid work
- Travel
- Mentoring
- US work authorization
Quick Apply
QA Engineer
Everforth ECS —Remote
- $140,000 - $165,000 a year
- Remote
- Mid-level
- Communication skills
Cloud Platform Engineer - AI Trainer
DataAnnotation —Washington, DC
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Programming Analyst - AI Trainer
DataAnnotation —Medina, NY
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Senior AI Engineer — Conversational Voice AI
SmartAdvocate —Remote
- $120,000 - $160,000 a year
- Full-time
- Spanish
- System design
- HIPAA
- Health savings account
- Health insurance
Quick Apply
10d
Field Controls Integration Engineer - Commercial
WaterFurnace International —Remote
- Full-time
- Computer science
- Computer Science
- Up to 50% travel
Quick Apply
6d
Board Support Package (BSP) Development Engineer (Remote)
Capgemini —Atlanta, GA
- $73,150 - $174,000 a year
- Full-time
- Remote
- Computer science
- 6 years
- Computer Science
- Paid holidays
- Disability insurance
Senior SCADA Engineer - Graphics
Divcon Controls —Remote
- Full-time
- Remote
- Engineering
- 3 years
- High school diploma or GED
- Paid training
- Disability insurance
Quick Apply
14d
SRE
Elevate Technology Solutions —Hanscom AFB, MA
- $100,000 - $125,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Quick Apply
Detection Engineer (Remote)
CrowdStrike —Sunnyvale, CA
- $97,000 - $175,000 a year
- Remote
- Computer science
- Computer Science
- Bachelor of Science
- Paid holidays
- Health insurance
7d
Snowflake Platform Engineer (Remote)
CrowdStrike —Sunnyvale, CA
- $140,000 - $252,000 a year
- On call
- Remote
- Computer science
- Azure
- Computer Science
- Paid holidays
- Health insurance
7d
Enterprise Solutions Engineer - Americas
Semrush Inc. —Springfield, IL
- $188,200 - $227,700 a year
- Remote
- 7 years
- Salesforce
- Senior level
- Paid parental leave
- Health savings account
Workday Integration Architect / Engineer | SCM, Procurement, Inventory & Replenishment
KORE1 Technologies —Remote
- $70 - $90 an hour
- Urgently hiring
- Remote
- 5 years
- Mentoring
- US work authorization
- Health insurance
- Dental insurance
Quick Apply
Data Engineer, Go To Market (Remote)
CrowdStrike —San Pablo, CA
- $116,000 - $209,000 a year
- Remote
- Computer Science
- 5 years
- SQL
- Paid holidays
- Health insurance
7d

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AI Platform Engineer

Fullthrottle.ai -
Remote

Quick Apply

Job Details

Full-time

Qualifications

AI models
Infrastructure as Code (IaC)
IT system monitoring
System performance optimization
AI platforms (beyond public GPTs)
Scalable systems
Machine learning projects
Reducing cloud infrastructure costs
Machine learning cloud services
Bachelor's degree
Model deployment
Cloud Native Design
Scalability
Production monitoring
Cloud compliance
System deployment
Amazon CloudWatch
Cloud solution engineering
SaaS
Cross-functional collaboration
Cloud monitoring
Project stakeholder communication
Python
Cross-functional communication
System performance monitoring
AWS Lambda

Full Job Description

About fullthrottle.ai

At fullthrottle.ai, we're focused on delivering cutting-edge applications & data services to our clients, including advertising agencies, media companies and brands. Our patented, privacy-compliant technology powers next-level marketing by unlocking first-party data at scale—giving advertisers the edge they need in a cookieless world.

As a fully remote, fast-growing startup, we move quickly, embrace innovation, and follow an Agile/Scrum framework to deliver impactful solutions. We're looking for someone who thrives in a collaborative environment, enjoys solving complex technical challenges, and wants to help build and scale the future of AI at fullthrottle.ai.

The Role:

As our AI Platform Engineer, you will ensure the reliable, secure, and scalable deployment of AI systems across fullthrottle’s platforms. You’ll focus on building and managing production infrastructure, developing robust APIs and microservices, and optimizing for cost-effective operations. This role requires hands-on expertise in AI/ML platform engineering, production deployment of AI systems, infrastructure as code, and cloud-native engineering to deliver high-performance AI solutions.

You will play a pivotal role in implementing best practices for deploying, operating, and scaling AI/ML systems in production, defining infrastructure as code for AWS, and driving observability and optimization across our AI production environments.

Key Responsibilities:

API & Microservices Development: Build and manage production-grade APIs and microservices to support scalable AI deployments.
AI Agent Development: Build, tune, and deploy AI agents using Amazon Bedrock AgentCore Runtime and the Strands Agent SDK. Design system prompts, implement tool routing, and optimize for latency and accuracy.
Infrastructure as Code: Define and manage Terraform modules for AWS services (Lambda, S3, RDS, OpenSearch, etc.).
Observability & Monitoring: Monitor system performance and implement observability practices using tools such as New Relic, Cloudwatch, and OpenTelemetry to ensure reliability, proactive alerting, and rapid issue resolution.
CI/CD Pipelines: Build and maintain CodePipeline/CodeBuild pipelines for automated testing, Docker builds, and ECS deployments.
Optimization: Optimize infrastructure and operations for cost, latency, and reliability, ensuring efficient use of resources.
Compliance & Security: Ensure systems meet compliance standards and maintain robust security controls.

Required Qualifications:

Experience: Minimum 2+ years of hands-on AI engineering experience, including building and deploying scalable infrastructure for AI/ML systems.
Technical Expertise: Expert-level Python and AWS (Lambda, API Gateway, CloudWatch).
AI/ML Experience: Hands-on experience with AI/ML systems, including model integration, inference workflows, or lightweight model development, along with Amazon Bedrock (including AgentCore Runtime), LLM prompt engineering, or agent frameworks. Must be comfortable building and iterating on AI/ML-driven application logic and agent workflows in production.
Infrastructure as Code: Strong experience with Terraform and/or CloudFormation for AWS resource management.
Production Experience: Proven ability to operate large-scale, multi-tenant SaaS architectures in production.
Monitoring & Optimization: Deep understanding of system monitoring, cost optimization, and compliance in cloud environments.
Education/Certifications: Bachelor’s degree in Computer Science, Data Engineering, or a related field. Relevant certifications in AWS or DevOps are a plus.
Collaboration: Proven ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.

You're Not a Fit If...

You haven’t previously built and managed production-grade APIs or infrastructure for AI systems.
You are not an expert in Python and/or AWS.
You prefer a slow-moving environment and are not comfortable with the pace of a startup.
You prefer to react to problems rather than plan ahead strategically.
You do not want to be hands-on with the technical details of the role.

Our Core Principles:

We're a team that believes in big ideas and fast execution, adopting a "crawl, walk, run" approach to innovation. We're looking for someone who embodies these principles:

Customer Centricity: We always put our customers first.
Growth Mindset: We are constantly learning and evolving.
Accountability & Integrity: We take ownership and act with honesty.
Collaboration & Humility: We work together and value every voice.
Open Communication: We believe in transparency and direct feedback.

If you are a passionate, experienced AI platform engineer with a drive to build and optimize advanced AI infrastructure, we want to hear from you. This is an opportunity to make a real impact at a dynamic and growing company.

Quick Apply

Refine Your Search

platform engineer jobs in remote*

AI Platform Engineer

Platform Engineer (Remote)

Sr. Platform Engineer

Cloud / Platform Engineer (Kubernetes, GCP, AWS)

Senior Platform Engineer

Platform Engineer

Staff Platform Engineer

QA Engineer

Cloud Platform Engineer - AI Trainer

Programming Analyst - AI Trainer

Senior AI Engineer — Conversational Voice AI

Field Controls Integration Engineer - Commercial

Board Support Package (BSP) Development Engineer (Remote)

Senior SCADA Engineer - Graphics

SRE

Detection Engineer (Remote)

Snowflake Platform Engineer (Remote)

Enterprise Solutions Engineer - Americas

Workday Integration Architect / Engineer | SCM, Procurement, Inventory & Replenishment

Data Engineer, Go To Market (Remote)

I want to receive the latest job alert for platform engineer in remote*

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