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Remote Microsoft Power Platform Developer Jobs in Wayne, NJ

HHAeXchange

Platform Engineer

New York, NY · Remote

... powers our AI platform, data pipelines, and internal applications is stable, scalable, and ... Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas.

TixTrack

Sr. Platform Engineer (Remote - US)

Manhattan, NY · On-site +1

$115K - $157K/yr

... reports to the Platform Engineering Manager. This position is full-time and fully remote ... You've rolled out agents and AI powered workflows in an engineering organization. You can speak to ...

Gunderson LLC

Systems Integration Developer

New York, NY · On-site +1

$150K - $180K/yr

Experience with Microsoft Copilot Studio (formerly Power Virtual Agents / Power Platform AI tools ... Hybrid schedule, may be considered for remote eligible The annualized base salary range for this ...

City of New York

CRM Developer

Manhattan, NY · On-site +1

This position may be eligible for remote work for up to 2 days per week pursuant to the Flexible ... Dynamics 365 / Power Platform environment and integrating it with internal and external ...

City of New York

CRM Developer

Manhattan, NY · On-site +1

This position may be eligible for remote work for up to 2 days per week pursuant to the Flexible ... Dynamics 365 / Power Platform environment and integrating it with internal and external ...

City of New York

Senior CRM Developer

Manhattan, NY · On-site +1

This position may be eligible for remote work for up to 2 days per week pursuant to the Flexible ... Dynamics 365 / Power Platform environment and integrating it with internal and external ...

City of New York

Senior CRM Developer

Manhattan, NY · On-site +1

This position may be eligible for remote work for up to 2 days per week pursuant to the Flexible ... Dynamics 365 / Power Platform environment and integrating it with internal and external ...

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All JobsMicrosoft Power Platform Developer JobsRemote Microsoft Power Platform Developer JobsRemote Microsoft Power Platform Developer Jobs in Wayne, NJ

Remote Microsoft Power Platform Developer information

See Wayne, NJ salary details

$39.7K

$128.3K

$157.2K

How much do remote microsoft power platform developer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote microsoft power platform developer in Wayne, NJ is $128,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $155,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Microsoft Power Platform Developer vs Remote Power BI Developer?

AspectRemote Microsoft Power Platform DeveloperRemote Power BI Developer
CertificationsMicrosoft Power Platform certifications (e.g., PL-400)Microsoft Power BI certifications (e.g., DA-100)
Work EnvironmentDevelops apps, automations, and dashboards within Power PlatformCreates and maintains Power BI reports and dashboards
Industry UsageUsed across various industries for app development and automationPrimarily focused on data visualization and reporting

The Remote Microsoft Power Platform Developer and Remote Power BI Developer roles share overlapping skills but differ mainly in scope. The Power Platform Developer builds comprehensive solutions using Power Apps, Power Automate, and Power BI, while the Power BI Developer specializes in data visualization and reporting. Both roles require Microsoft certifications and are in high demand across industries, but their focus areas distinguish them in the job market.

What cities near Wayne, NJ are hiring for Remote Microsoft Power Platform Developer jobs? Cities near Wayne, NJ with the most Remote Microsoft Power Platform Developer job openings:
Remote Microsoft Power Platform Developer jobs near you
Infographic showing various Remote Microsoft Power Platform Developer job openings in Wayne, NJ as of July 2026, with employment types broken down into 46% Full Time, 49% Part Time, 1% Temporary, and 4% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $128,284 per year, or $61.7 per hour.

Platform Engineer

HHAeXchange

New York, NY • Remote

Full-time

Medical, Retirement, PTO

Re-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.
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