The Senior System Administrator will manage infrastructure and system performance while leveraging AI tools to automate tasks and optimize operations. They will also be responsible for security compliance, troubleshooting, and collaborating with development teams to ensure system availability.
Stellus Rx
14 Remote Job Openings at Stellus Rx
The Senior Security Engineer will leverage AI-powered tools to automate threat detection, incident response, and security controls across cloud and application environments. They will also collaborate with stakeholders to implement security-as-code practices and maintain robust security architecture within CI/CD pipelines.
The Senior Data Engineer will develop and maintain large-scale data processing systems using AI-assisted tools to automate pipelines and improve data quality. They will collaborate with data scientists and stakeholders to build infrastructure that supports analytics, machine learning, and business decision-making.
The Senior Security Analyst will utilize AI-driven tools to automate threat detection, incident response, and vulnerability management across cloud and on-premises environments. They will also ensure compliance with healthcare standards and collaborate with technical teams to improve the organization's overall security posture.
The Senior Cloud Operations Engineer will design and maintain AI-augmented AWS infrastructure using Infrastructure as Code and automated CI/CD pipelines. They will also implement AI-driven monitoring, security compliance, and cost optimization strategies to ensure system reliability and efficiency.
The Senior Solutions Architect will design and maintain technical, integration, and data architectures with a focus on embedding AI and machine learning capabilities. They will also mentor developers on AI-assisted workflows and collaborate with product teams to ensure high-quality, scalable technical delivery.
The Senior QA Automation Engineer will leverage AI-driven tools to design, automate, and optimize test cases across mobile, desktop, and web platforms. They will also integrate these automated suites into CI/CD pipelines and serve as a quality steward to ensure high-quality software releases.
The Senior Technical Project Manager will lead project execution by leveraging AI tools to optimize planning, risk management, and reporting. They will collaborate with engineering teams to resolve technical blockers and ensure alignment with organizational strategy and quality objectives.
The Senior Data Architect will design and govern enterprise-scale data platforms on AWS, specifically optimizing architectures for AI/ML workloads and analytical consumption. They will also define data governance frameworks, mentor team members, and implement AI-assisted tools to streamline data modeling and pipeline development.
The Senior Software Engineer will leverage AI-assisted development tools to build and maintain scalable web and mobile applications within an AWS cloud environment. They will collaborate with cross-functional teams to implement microservices and optimize data access patterns while ensuring high code quality and security.
The Senior Analytics Engineer will design and maintain data structures, build integrated BI reports, and lead end-to-end analytics projects. They will also leverage AI-powered tools and MCP-enabled integrations to streamline data pipelines and train stakeholders on data self-sufficiency.
The Senior Business Architect will drive innovative solutions by embedding AI into the architecture lifecycle to optimize business operations and automate manual processes. They will collaborate with cross-functional teams to define requirements, select vendors, and implement scalable, AI-augmented business solutions.
The Senior Cloud Architect will design and maintain AI-augmented cloud infrastructure on AWS, focusing on scalability, security, and cost-efficiency. They will lead architectural strategy, mentor engineering teams, and implement automation to optimize cloud operations and compliance.
The Business Analyst will serve as a key liaison between Product Management, Engineering, Operations, and end users to translate business needs into clear requirements and actionable insights for data-driven product decisions. Responsibilities heavily involve leveraging AI tools across the Product Development Lifecycle (PDLC) and Software Development Lifecycle (SDLC) to refine requirements, support testing, and streamline workflows.