Top Remote QA Engineer Jobs in Lexington, KY

The DevOps Engineer will enhance software development and deployment processes, focusing on automation, efficiency, and security. Responsibilities include creating scalable infrastructure, establishing automated deployment pipelines, maintaining blockchain nodes, and implementing comprehensive monitoring systems.

As a Senior Salesforce Developer, you will design, develop, and implement solutions on the Salesforce platform while collaborating with business analysts and cross-functional teams. Your role will involve hands-on development using Apex, Visualforce, and REST APIs, as well as maintaining code quality using tools like VS Code and Github. You'll also write technical specifications and work on ongoing projects to enhance processes and performance.

As a Senior Design Engineer at Aledade, you will enhance the Aledade App's usability, quality, and accessibility through design system contributions, manage front-end app infrastructure, collaborate with multiple teams, and mentor engineers on best practices.

The Senior Application Engineer: NetSuite/Salesforce will define and develop system requirements for various business partners while ensuring optimal customization and configuration of Salesforce and NetSuite. Responsibilities include consulting, developing technical documentation, enhancing system functionality, and mentoring peers on best practices.

The Network Cloud Engineer at AHEAD will manage and implement cloud and datacenter services, troubleshoot production problems, support Level 2 and Level 3 Engineers, and engage in system automation. They will create documentation, work with clients, and ensure effective service delivery, while collaborating with other professionals and participating in continuous learning.

The Senior Site Reliability Engineer will design, build, and deploy cloud-based infrastructure while focusing on network nodes, validators, and wallet infrastructure. Responsibilities include integrating security mechanisms, improving availability and reliability, and developing automation tools. This role requires extensive experience in cloud software, infrastructure as code, and collaboration with various teams.

The ML Engineering Manager will lead a team of machine learning engineers to develop and optimize ML-powered services for payment intelligence, collaborate with cross-functional teams, enhance existing ML models, and ensure engineering excellence in code quality and scalability.