Lead AWS DevOps Engineer

We are seeking a highly skilled Lead AWS DevOps Engineer with strong expertise in Generative AI, Large Language Models (LLMs), AWS Cloud, and modern DevOps practices. The ideal candidate will play a key role in designing, building, and deploying enterprise-scale AI-powered software solutions while driving CI/CD automation, Kubernetes-based deployments, observability, and cloud-native engineering best practices.

This role requires hands-on experience with production-grade GenAI applications, AI agent development, release automation, and cloud infrastructure, along with the ability to collaborate across Product, Platform Engineering, SRE, Security, and Development teams.

Required Skills

• 7 years of experience in Full Stack Development, SQL, and ETL processes.
• 7 years of experience implementing and managing CI/CD pipelines.
• 5 years of experience with AWS Cloud and cloud-native technologies.
• Strong experience with DevOps practices, Kubernetes, Docker, GitLab CI, Helm, and Infrastructure Automation.
• Hands-on experience with Generative AI, LLMs, AI Agents, RAG (Retrieval-Augmented Generation), and LLM orchestration.
• Experience building scalable, highly available enterprise applications.
• Telecom domain experience is mandatory.

Key Responsibilities

• Design, develop, and deploy enterprise-scale Generative AI applications and software solutions.
• Build AI agents, LLM orchestration frameworks, and Retrieval-Augmented Generation (RAG) solutions.
• Develop reusable AI components and internal tools that enable business users to leverage AI without coding.
• Build, manage, and optimize CI/CD pipelines using GitLab CI and DevOps best practices.
• Containerize applications using Docker and deploy workloads to Kubernetes using Helm.
• Implement deployment strategies including Blue/Green Deployments, Canary Releases, Feature Flags, and Automated Rollbacks.
• Build operational dashboards and reporting solutions to monitor release health, AI model performance, and production metrics.
• Implement observability using monitoring, logging, alerting, tracing, and telemetry tools.
• Troubleshoot complex production issues involving Kubernetes, cloud infrastructure, APIs, distributed systems, and enterprise integrations.
• Collaborate with Product Management, Platform Engineering, Security, SRE, and UX teams to deliver secure and scalable software.
• Mentor junior engineers and contribute to architecture decisions, engineering standards, and AI governance.

Required Qualifications

• Bachelor's Degree in Computer Science, Engineering, or a related technical discipline.
• 4–7 years of software engineering or cloud engineering experience.
• Strong experience building and deploying production-grade GenAI solutions.
• Experience with AI engineering standards, governance, and reference architectures.
• Experience developing Docker images, Helm charts, Kubernetes deployments, and GitLab CI pipelines.
• Strong SQL and ETL experience; Snowflake knowledge is preferred.
• Experience building dashboards using Power BI, Tableau, Streamlit, or similar reporting platforms.
• Excellent analytical, communication, customer-facing, and technical documentation skills.

Preferred Qualifications

• Experience building composable AI platforms and internal developer tooling.
• Experience mentoring engineering teams.
• Strong understanding of release management and enterprise DevOps practices.
• Experience deploying secure, scalable, and cost-optimized cloud solutions.

ABOUT BRICKRED SYSTEMS

BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions.

BrickRed Systems fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers.