ZipRecruiter

Log In

2

Remote Layer 1 Jobs (NOW HIRING)

HHAeXchange

Platform Engineer

Mundelein, IL · Remote

This is a hands-on engineering role embedded within a team building Layer 1 of HHAeXchange's AI ... Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas.

HHAeXchange

Platform Engineer

Minneapolis, MN · Remote

This is a hands-on engineering role embedded within a team building Layer 1 of HHAeXchange's AI ... Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas.

Ciena

Senior Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

This role contributes to embedded software that enables high-performance Layer 1/2 networking ... Collaborate with local and remote engineering teams to plan, estimate, and track development ...

Soda Data

Sales Engineer (Remote)

$100K - $130K/yr

Soda is the data quality layer for Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games, and Nubank ... * 1-3 years as a Sales Engineer, Solutions Engineer, or similar customer-facing technical role at a ...

Single Grain

Senior Manager, SEO/AEO

Los Angeles, CA · Remote

Single Brain -- the complete client operating layer: one agent interface for the human, one agent ... We are fully remote, and we operate as an AI-native team: every role at Single Grain is expected to ...

next page

Showing results 1-20

All JobsLayer 1 JobsRemote Layer 1 Jobs

Remote Layer 1 information

See salary details

$13

$21

$31

How much do remote layer 1 jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote layer 1 in the United States is $21.75, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $24.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Layer 1 Support Engineer, and why are they important?

To thrive as a Remote Layer 1 Support Engineer, you need a solid understanding of computer hardware, basic networking, troubleshooting techniques, and usually some formal IT training or certification (such as CompTIA A+). Familiarity with remote desktop tools, ticketing systems, and diagnostic utilities is typically required. Excellent communication, patience, and problem-solving abilities help you effectively assist users and convey technical information clearly. These skills ensure quick resolution of technical issues, positive user experiences, and reliable IT support for organizations.

What is a Remote Layer 1 engineer?

A Remote Layer 1 engineer is a professional who works on the foundational protocol layer of blockchain technology, often from a remote location. Layer 1 refers to the base blockchain architecture, such as Bitcoin, Ethereum, or Solana, which handles the core consensus, security, and transaction mechanisms. These engineers are responsible for designing, developing, and maintaining the underlying protocols that power decentralized networks. Working remotely, they collaborate with global teams to ensure the scalability, security, and efficiency of blockchain platforms.

What are some common challenges faced by Remote Layer 1 engineers and how can they be addressed?

Remote Layer 1 engineers often encounter challenges related to troubleshooting physical network issues without being onsite, such as diagnosing cabling faults or hardware failures. To address these, they typically rely on robust documentation, remote monitoring tools, and clear communication with onsite staff or local technicians. Building strong collaboration skills and being proactive in coordinating with cross-functional teams can greatly enhance efficiency and problem resolution in a remote work environment.

What is the difference between Remote Layer 1 vs Remote Support Specialist?

AspectRemote Layer 1Remote Support Specialist
CredentialsBasic IT certifications (CompTIA A+, Network+)Similar certifications, often with customer service skills
Work EnvironmentRemote, help desk or call center setupRemote, customer-facing support environment
Industry UsageIT, telecommunications, tech companiesIT, tech support, customer service sectors
Job FocusInitial troubleshooting, ticket loggingCustomer issue resolution, technical support

Remote Layer 1 and Remote Support Specialist roles both involve remote technical support, often requiring similar certifications and work environments. The main difference lies in scope: Remote Layer 1 typically handles initial troubleshooting and ticket logging, while Remote Support Specialists may provide more in-depth technical assistance. Both roles are essential in IT and customer service industries, with overlapping skills and responsibilities.

More about Remote Layer 1 jobs
What cities are hiring for Remote Layer 1 jobs? Cities with the most Remote Layer 1 job openings:
What are the most commonly searched types of Layer 1 jobs? The most popular types of Layer 1 jobs are:
What job categories do people searching Remote Layer 1 jobs look for? The top searched job categories for Remote Layer 1 jobs are:
Remote Layer 1 jobs near you
Infographic showing various Remote Layer 1 job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 22% Part Time, 1% Temporary, and 6% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $45,248 per year, or $21.8 per hour.
Platform Engineer

Platform Engineer

HHAeXchange

Mundelein, IL • Remote

Full-time

Posted 28 days ago

Job description

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.

HHAeXchange is seeking a Platform Engineer to join our Data & AI Engineering team. Reporting to the Director of Analytics, this role sits at the intersection of platform reliability and delivery automation – ensuring the infrastructure that powers our AI platform, data pipelines, and internal applications is stable, scalable, and continuously improving.

This is a hands-on engineering role embedded within a team building Layer 1 of HHAeXchange’s AI Platform – the core machinery that enables AI-powered capabilities across the organization. The engineer will own the reliability and deployment lifecycle of that infrastructure, working closely with AI Platform Engineers and Data & AI Engineers to operationalize everything we build on AWS.

As our AI platform matures and internal tooling expands, this role becomes the connective tissue between development velocity and production stability – ensuring that what gets built gets shipped reliably, monitored proactively, and scaled confidently.

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas.

Essential Job Duties

Platform Reliability (SRE)

  • Own availability, latency, and performance targets for AI platform services and data infrastructure running on AWS
  • Design and implement monitoring, alerting, and observability frameworks across the platform stack
  • Lead incident response, root cause analysis, and post-mortem processes for platform-level outages or degradations
  • Define and track SLOs/SLAs for core platform primitives including RAG pipelines, agent orchestration services, and model access layers
  • Proactively identify reliability risks and drive engineering improvements before they become production issues
  • Build and maintain runbooks, disaster recovery procedures, and operational documentation

DevOps & Delivery Automation

  • Design, build, and maintain CI/CD pipelines for AI platform components, data pipelines, and internal applications
  • Own infrastructure-as-code (IaC) practices across the team using tools such as Terraform or AWS CDK
  • Manage and optimize AWS environments including ECS, Lambda, S3, RDS, Redshift, API Gateway, and related services
  • Implement and enforce security, compliance, and cost optimization best practices across AWS infrastructure
  • Automate deployment, scaling, and configuration management to reduce manual operational overhead
  • Partner with AI Platform Engineers to containerize and operationalize AI services and agent frameworks
  • Support Data & AI Engineers with environment management, access controls, and deployment tooling for Polaris and data pipeline infrastructure

Cross-Team Enablement

  • Serve as the operational backbone for the AI platform team – ensuring engineers can ship and iterate quickly without being blocked by infrastructure concerns
  • Contribute to our “factory model” vision by making deployment and reliability a repeatable, scalable capability rather than an ad hoc function
Other Job Duties
  • Other duties as assigned by supervisor or HHAeXchange leader.
Travel Requirements
  • Travel up to 10%, including overnight travel
Required Education, Experience, Certifications and Skills
  • 3+ years of professional experience in a DevOps, SRE, or platform engineering role
  • Hands-on AWS experience required – AgentCore, Bedrock, ECS, Lambda, S3, RDS, Redshift, CloudWatch, IAM, VPC, and related services
  • Experience with infrastructure-as-code tools such as Terraform or AWS CDK
  • Strong CI/CD experience with tools such as GitHub Actions
  • Experience with containerization and orchestration (Docker, ECS, or Kubernetes)
  • Familiarity with AI/ML infrastructure patterns – model serving, vector databases, pipeline orchestration (strongly preferred)
  • Experience with observability and monitoring tooling (Datadog, CloudWatch)
  • Prior experience in a SaaS environment
  • Strong verbal and written communication skills with ability to collaborate across technical and non-technical stakeholders
  • Self-starter with a proactive approach to identifying and resolving infrastructure risk before it impacts delivery
  • Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role.
The base salary range for this US-based, full-time, and exempt position is $110,000-120,000/yr, not including variable compensation. An employee’s exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.
 
This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.
 
HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.