TITLE: Cloud Engineer POSITION TYPE: Full Time (W2) LOCATION: Remote (The following states are excluded from eligibility: CA, WA, CO, NY) ABOUT WorldLink: WorldLink is a rapidly growing information technology company at the forefront of the tech transformation. From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today’s most cutting-edge digital technologies to create value and grow. Collaborative. Respectful. Work hard Play hard. A place to dream and do. These are just a few words that describe what life is like at WorldLink. We embrace a culture of experimentation and constantly strive for improvement and learning. We take pride in our employees and their future with continued growth and career advancement. We put TEAM first. We are a competitive group that like to win. We're grounded by humility and driven by ambition. We're passionate, and we love tough problems and new challenges. You don't hear a lot of "I don't know how" or "I can't" at WorldLink. If you are passionate about what you do and having fun while doing it; tired of rigid and strict work environments and would like to work in a non-bureaucratic startup cultural environment, WorldLink may be the place for you. For more information about our craft, visit https://worldlinklabs.ai/ . WHO we’re looking for: We are looking for a Cloud Engineer to join our team. Role and Responsibilities: Architect & Optimize: Design and implement cloud environments for reliability, scalability, and security, focusing on AI/ML workflows and enterprise-grade platforms. Platform Enablement: Develop and enforce reusable patterns, automation frameworks, and best practices for cloud and AI/ML deployments. Security & Governance: Establish and manage security controls, governance processes, and compliance standards for cloud deployments. Collaboration: Work closely with business and technology teams to align cloud platform capabilities with organizational goals. Technical Leadership: Mentor and support engineering teams, guide data scientists and ML engineers on platform best practices, and lead resolution of complex platform issues. Continuous Improvement: Stay current with industry trends, evaluate emerging technologies, and drive adoption of cloud engineering best practices. Required Experience and Education: 6+ years of relevant experience in cloud engineering, with a strong background in architecting and operating cloud environments at scale. Bachelor’s degree Deep expertise in Google Cloud Platform (GCP); experience with other cloud providers is a plus. Advanced proficiency in Terraform for infrastructure automation; familiarity with Ansible and Git. Strong understanding of AI platforms (Vertex AI, Sagemaker, Bedrock, CoPilot) and AI/ML workflows. Familiarity with agentic systems and emerging AI protocols such as Model Context Protocol (MCP) and Agent2Agent (A2A). Advanced knowledge of Linux (RHEL) and Python for automation and tooling. Demonstrated experience with DevSecOps, zero-touch automation, and shift-left security practices. Advanced understanding of cloud networking, security principles, and compliance frameworks. Experience with Behavior Driven Development (BDD) for testing. Necessary Skills and Attributes: Self-motivated individual with the ability to thrive in a team-based or independent environment. Detail-oriented with strong organization skills. Ability to work in a fast-paced environment. Limited supervision and the exercise of discretion. Excellent problem-solving, analytical, and communication skills. Ability to work effectively in a collaborative, cross-functional team environment. Adaptability to changing technologies and project requirements.