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Remote Lamp Stack Developer Jobs in Minnesota (NOW HIRING)

HHAeXchange

Platform Engineer

Minneapolis, MN · Remote

Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas ... Design and implement monitoring, alerting, and observability frameworks across the platform stack

Accelint

Senior Systems Engineer

Saint Paul, MN · On-site +1

$130K - $165K/yr

... stack. * Oversee the rehosts/data refreshes on non-production environments as needed. * Conduct ... Fully remote candidates may be considered with increased expectation for travel. * This position ...

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Remote Lamp Stack Developer information

Can you work remotely as a remote lamp stack developer?

Yes, remote Lamp Stack developers can work from anywhere with a reliable internet connection, as their work primarily involves coding, server management, and collaboration through online tools. Many companies offer remote positions for this role, often requiring knowledge of Linux, Apache, MySQL, PHP, and related technologies. Flexibility in schedule and self-management skills are also important for remote Lamp Stack development jobs.

What is a remote LAMP Stack developer?

A Remote LAMP Stack Developer is a software professional who specializes in building and maintaining web applications using the LAMP stack—Linux, Apache, MySQL, and PHP—while working remotely from any location. Their responsibilities typically include developing server-side logic, creating databases, integrating front-end components, troubleshooting issues, and deploying web solutions. Working remotely allows these developers to collaborate with teams and clients via online tools, ensuring flexibility and access to a global talent pool. They play a crucial role in building dynamic, database-driven websites and applications.

What are the key skills and qualifications needed to thrive as a remote LAMP Stack developer?

To thrive as a Remote LAMP Stack Developer, you need strong expertise in Linux administration, Apache server configuration, MySQL database management, and PHP programming, usually supported by a degree in computer science or related experience. Familiarity with version control systems like Git and tools such as Docker, plus knowledge of RESTful APIs and frameworks like Laravel, is often required. Excellent problem-solving, self-motivation, and clear remote communication are crucial soft skills in this role. These competencies ensure effective delivery of robust, scalable web applications and foster productive collaboration within distributed development teams.

What are some common challenges faced by remote LAMP Stack developers, and how can they be effectively managed?

Remote LAMP Stack Developers often encounter challenges such as coordinating with distributed teams across different time zones, ensuring effective communication, and maintaining productivity without direct supervision. To manage these, it’s important to adopt strong project management and collaboration tools, set clear expectations with team members, and establish a consistent work routine. Proactive communication and regular check-ins help keep projects on track and foster a sense of team cohesion, even when working remotely.
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Remote Lamp Stack Developer jobs near you

Platform Engineer

HHAeXchange

Minneapolis, MN • Remote

Full-time

Medical, Retirement, PTO

Re-posted 24 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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