Integrate IoT systems with Fairstead's property management stack and other enterprise platforms * Identify and adopt AI tools and emerging technologies across the stack - from AI-assisted development ...
Integrate IoT systems with Fairstead's property management stack and other enterprise platforms * Identify and adopt AI tools and emerging technologies across the stack - from AI-assisted development ...
Point of contact our Dynasty Network Partners on the implementation, administration and adoption of our technology stack, with a focus on Wealth Management Technology: Reporting and Financial ...
Point of contact our Dynasty Network Partners on the implementation, administration and adoption of our technology stack, with a focus on Wealth Management Technology: Reporting and Financial ...
Point of contact our Dynasty Network Partners on the implementation, administration and adoption of our technology stack, with a focus on Wealth Management Technology: Reporting and Financial ...
Quick apply
Point of contact our Dynasty Network Partners on the implementation, administration and adoption of our technology stack, with a focus on Wealth Management Technology: Reporting and Financial ...
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Integrate IoT systems with Fairstead's property management stack and other enterprise platforms * Identify and adopt AI tools and emerging technologies across the stack -- from AI-assisted ...
Quick apply
Integrate IoT systems with Fairstead's property management stack and other enterprise platforms * Identify and adopt AI tools and emerging technologies across the stack -- from AI-assisted ...
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Integrate IoT systems with Fairstead's property management stack and other enterprise platforms * Identify and adopt AI tools and emerging technologies across the stack - from AI-assisted development ...
Senior Full Stack Engineer
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Integrate IoT systems with Fairstead's property management stack and other enterprise platforms * Identify and adopt AI tools and emerging technologies across the stack - from AI-assisted development ...
Tech Stack Manager information
See salary details
$24.04 - $29.68
1% of jobs
$29.68 - $35.31
3% of jobs
$35.31 - $40.95
5% of jobs
$40.95 - $46.59
7% of jobs
$49.50 is the 25th percentile. Wages below this are outliers.
$46.59 - $52.23
16% of jobs
$52.23 - $57.87
17% of jobs
The median wage is $58.03 / hr.
$57.87 - $63.51
18% of jobs
$66.91 is the 75th percentile. Wages above this are outliers.
$63.51 - $69.14
13% of jobs
$69.14 - $74.78
9% of jobs
$74.78 - $80.42
6% of jobs
$80.42 - $86.06
4% of jobs
$24
$59
$86
How much do tech stack manager jobs pay per hour?
What are the key skills and qualifications needed to thrive as a Tech Stack Manager, and why are they important?
How does a Tech Stack Manager typically collaborate with cross-functional teams to ensure technology alignment?
What is a Tech Stack Manager?
What is the difference between Tech Stack Manager vs Software Development Lead?
| Aspect | Tech Stack Manager | Software Development Lead |
|---|---|---|
| Required Credentials | Bachelor's in CS or related field, certifications in cloud or project management often preferred | Bachelor's or higher in CS or related field, extensive coding experience, leadership skills |
| Work Environment | Oversees technology stacks, collaborates with development teams, manages infrastructure | Leads development projects, writes code, mentors developers, focuses on software delivery |
| Employer & Industry Usage | Used in tech companies, startups, enterprises managing multiple tech stacks | Common in software firms, tech teams, and project-based environments |
The Tech Stack Manager primarily focuses on managing and optimizing the technology infrastructure and tools used by a company, while the Software Development Lead concentrates on guiding software projects and leading development teams. Both roles require technical knowledge, but their core responsibilities differ significantly.
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Posted 5 days ago
Job description
The Senior Full Stack Engineer, IoT will design, build, and own the end-to-end technology stack powering Fairstead's IoT platform - a proprietary system that connects sensors in our buildings to the data infrastructure that drives operational decisions across the portfolio. This role spans every layer of the stack: from device firmware and network configuration through message brokering and data normalization to storage, analytics, and user-facing applications.
This is a foundational hire. Fairstead is building its IoT capability in-house to gain full visibility and control over its technology stack. The Senior Full Stack Engineer will be the technical lead responsible for architecting this platform - designing a modern, open-standards-based infrastructure that Fairstead owns and operates. The work starts with a live pilot and scales to a portfolio of 27,000+ apartments across 28 states.
Beyond IoT, this role will help shape Fairstead's broader digital strategy, including integration with property management systems and other enterprise platforms.
Responsibilities:
- Architect and build Fairstead's proprietary IoT data pipeline from sensor to database - including LoRaWAN network server management, MQTT message brokering, event streaming, data normalization, and persistent storage
- Own the full stack: firmware configuration, network layer, ingestion layer, normalization layer, application layer, and data platform
- Design and implement a normalization framework that is device-agnostic and supports multiple IoT use cases (e.g., leak detection, air quality monitoring, submetering) without requiring schema changes
- Build and maintain application services, APIs, dashboards, and monitoring tools that surface IoT data to operations teams
- Evaluate build-vs-buy decisions across the stack, with a bias toward open protocols, portable data formats, and long-term flexibility
- Manage phased insourcing of platform capabilities - including data migration, device provisioning, and coordination with existing vendor partners during transition periods
- Establish end-to-end observability - monitoring device health, network performance, message delivery, and data integrity across every layer
- Integrate IoT systems with Fairstead's property management stack and other enterprise platforms
- Identify and adopt AI tools and emerging technologies across the stack - from AI-assisted development workflows to intelligent alerting, anomaly detection, and automation within the data pipeline
Requirements:
- 7+ years of professional software engineering experience spanning backend, frontend, and infrastructure
- Hands-on experience building IoT or connected-device systems - from the hardware/firmware layer through cloud infrastructure and user-facing applications
- Strong working knowledge of LoRaWAN, MQTT, and related IoT communication protocols
- Experience with message brokers and event streaming platforms (e.g., Kafka)
- Proficiency in TypeScript/JavaScript and Python; familiarity with additional systems languages (C/C++, Go, Rust) is a plus
- Experience with PostgreSQL or similar relational databases; familiarity with time-series data patterns
- Comfortable with containerized deployments (Docker, Kubernetes) and cloud infrastructure (Azure preferred)
- Experience with monitoring and observability tools (e.g., Grafana, Prometheus, Loki)
- Familiarity with LoRaWAN network server platforms (e.g., ChirpStack) is strongly preferred
- Strong understanding of data pipeline architecture - ingestion, transformation, storage, and serving
- Demonstrated ability to work autonomously and make high-judgment technical decisions in ambiguous, early-stage environments
- Comfortable leveraging AI-assisted development tools and open to incorporating AI/ML capabilities into the platform over time
- Excellent communication skills - able to translate technical architecture into language that non-technical stakeholders understand
Preferred Qualifications:
- Bachelor's degree in Computer Science
- Prior experience in smart building, proptech, or multifamily IoT companies (e.g., SmartRent, StratIS IoT, Quext, Rently, RealPage, Yardi, or similar)
- Experience designing systems with explicit auditability requirements - traceable data handoffs, structured logging, and clear ownership boundaries between layers
- Track record of scaling a system from pilot to production across multiple sites or buildings