Data Systems Analysts, Inc.

About the Role

We are a pre-launch technology startup building a high-performance, real-time distributed

platform. Our challenge lies in the seamless integration of cloud-native services with

high-scale edge computing environments. We are looking for a Lead Full-Stack Engineer to

act as a primary architect and hands-on developer, owning the lifecycle of our core backend and the interfaces that power it.

This role is for an engineer who thrives on "Hard Tech" problems: managing state across

high-latency networks, optimizing concurrent data pipelines, and building resilient systems

that operate in demanding environments.

Core Responsibilities

● Distributed Systems Architecture: Design and implement the communication and

synchronization layers between remote nodes and central cloud services.

● Backend Development: Own the backend logic using Elixir/Phoenix, focusing on

fault-tolerant architectures (OTP), real-time eventing, and high-throughput data

processing.

● Full-Stack Execution: Build and maintain high-performance web interfaces using

React and TypeScript, ensuring low-latency data visualization and robust administrative

controls.

● Infrastructure Orchestration: Utilize modern Infrastructure-as-Code (IaC) patterns to

manage scalable cloud resources and containerized workloads across a distributed

fleet.

● Security & Reliability: Implement rigorous security protocols for device-to-cloud

communication, least-privilege access models, and automated recovery systems.

● Engineering Leadership: Set the bar for code quality, documentation, and CI/CD

practices as the team grows.

Technical Competencies

● Advanced Elixir/Phoenix: Deep expertise in OTP, GenServers, and the Phoenix

ecosystem. You understand how to scale concurrent processes effectively.

● Cloud-Native Resource Management: Experience orchestrating managed container

services and IoT frameworks in a cloud environment.

● Infrastructure as Code: Proficiency with modern IaC tools for managing complex,

multi-environment deployments.

● Frontend Performance: Strong React/TypeScript skills, particularly in handling

real-time data updates and WebSocket-based state management.

● Containerization: Expertise in Docker-based deployments, specifically for

heterogeneous hardware environments (ARM64/x86).

Bonus Expertise

● Real-Time Data & Media: Experience with low-latency streaming protocols or

real-time event-driven architectures.

● Hardware Interfacing: Familiarity with hardware-accelerated runtimes (e.g.,

NVIDIA/CUDA) or embedded Linux environments.

● Data Science Integration: Experience building pipelines for machine learning inference

at the edge.

Tech Stack Overview

● Primary Languages: Elixir (Phoenix), TypeScript (React), Python

● Data Persistence: Relational databases (PostgreSQL), distributed caching

● Infrastructure: Cloud IoT frameworks, Managed Containers, IaC (Terraform)

● Runtime: Linux-based container orchestration

What Success Looks Like

● 30 Days: Fully onboarded into the codebase; begins shipping core architectural

improvements to the backend and deployment pipelines.

● 60 Days: Owns the primary state-management logic between edge and cloud;

standardizes authentication and authorization patterns across the platform.

● 90 Days: Establishes the long-term roadmap for high-scale data orchestration;

mentors incoming engineers on the unique challenges of our distributed environment.

Job Type: Full-time

Benefits:

• 401(k)
• 401(k) 3% Match
• Bereavement leave
• Dental insurance
• Food provided
• Health insurance
• Life insurance
• Paid holidays
• Paid sick time
• Paid time off
• Snacks provided
• Unlimited paid time off
• Vision insurance

Work Location: Remote