Senior AI DevSecOps Engineer IRC279630
hace 4 semanas
Join to apply for the Senior AI DevSecOps Engineer IRC role at GlobalLogic . Department / Team : AI Engineering; Reporting To : Engineering Manager / Principal Architect; Location : Hybrid/Remote (U.S. preferred; flexibility considered). Role Summary : The Senior Full Stack Developer – AI Systems & Automation is responsible for designing, building, and deploying full‑stack applications and microservices that form the foundation of AI‑powered security and compliance agents. This role combines strong coding expertise with DevOps and automation practices, enabling rapid, secure, and scalable delivery. The developer will collaborate closely with architects and AI engineers to implement solutions that translate business workflows into technical execution. Key Responsibilities Design, code, and maintain APIs, services, and user‑facing components. Implement and maintain CI/CD pipelines, deployment processes, and automation tools. Build and optimize microservices running on AWS and Kubernetes. Collaborate with architects, product managers, and AI engineers to translate requirements into technical solutions. Ensure system reliability, performance, and security through robust engineering practices. Troubleshoot, debug, and resolve complex technical issues in production systems. Contribute to technical documentation, coding standards, and best practices. Participate in code reviews and mentor junior developers when needed. Required Qualifications Education : Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. Experience : 7–10+ years in software development with proven experience in full‑stack roles. Technical Skills : Proficiency in Python and experience with JavaScript/TypeScript frameworks. Strong background in API development and system integration. Hands‑on experience with AWS cloud services and Kubernetes orchestration. Solid understanding of DevOps practices, CI/CD pipelines, and infrastructure automation. Exposure to microservice architectures and distributed systems. Certifications: AWS Developer or Architect certifications, DevOps certification (preferred). Preferred Qualifications Previous experience in automation engineering, big data, or analytics environments. Additional programming languages (e.g., Go, Java, Rust). Familiarity with data engineering practices and tools. Hands‑on experience with observability, logging, and monitoring frameworks. Key Competencies & Attributes Strong coding discipline and attention to detail. Collaborative and team‑oriented mindset with excellent communication skills. Problem‑solver with the ability to learn quickly and adapt to new technologies. Organized and capable of managing multiple priorities in fast‑paced environments. Passion for automation, scalability, and building robust systems. What We Offer Culture of caring. We prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. Learning and development. We are committed to your continuous learning and development. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. Balance and flexibility. We believe in the importance of balance and flexibility. High‑trust organization. We are a high‑trust organization where integrity is key. #J-18808-Ljbffr
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