• Define and own AWS cloud architectures aligned with functional and non-functional requirements. • Design scalable, highly available, and secure cloud solutions following AWS best practices. • Lead infrastructure automation using Infrastructure as Code (Terraform and/or CloudFormation). • Establish architectural standards, patterns, and best practices for cloud adoption. • Act as a technical reference for development and DevOps teams. • Oversee cloud security, access management, and compliance requirements. • Support cloud migration initiatives and architectural evolution. • Participate in technical discussions, architecture reviews, and agile ceremonies.

Role Description - Solution Design & Implementation: Designs, builds, and deploys solutions on AWS, ensuring scalability, security, and cost-effectiveness. - Customer Engagement: Works directly with customers to understand their needs, business objectives, and technical challenges. - Technical Expertise: Possesses deep knowledge of AWS services, best practices, and industry trends, which include but are not limited to AWS services like AWS Control Tower, AWS Organization, VPC, AWS Cloud WAN, AWS Security Hub. - Networking: Should have strong expertise in configuring networking services in AWS. - Communication & Collaboration: Effectively communicates technical solutions to both technical and non-technical audiences. - Continuous Learning: Keeps abreast of the latest AWS technologies and trends. - Problem Solving: Identifies and resolves complex technical issues. - Digital Transformation: Helps organizations move from on-premises systems to the cloud, enabling digital transformation. Qualifications - Experience: Extensive experience in designing, implementing, and managing cloud solutions on AWS, typically 10+ years. - Skills: Strong technical skills in cloud computing, networking, security, and application development. - Certifications: AWS certifications, such as AWS Certified Solutions Architect - Professional, are highly valued. - Education: Bachelor's degree in Computer Science or a related field. - Soft Skills: Excellent communication, problem-solving, and collaboration skills.

Role Description The Cloud Engineer will be instrumental in maintaining and enhancing the cloud infrastructure. This role focuses on optimizing cloud operations to drive cost efficiency, ensure high performance, and maintain scalability and reliability of the company's services. The position will work closely with the development and operations teams to automate processes, manage cloud resources, and ensure strict compliance with security standards. Key Responsibilities - Maintain 99.9% availability for customer-facing hosted solutions, ensuring high reliability. - Reduce cloud operating costs consistently by utilizing automation and innovative tools. - Ensure scalability of systems without compromising on performance. - Achieve and maintain compliance with key security standards, such as ISO 27001. - Maintain a minimum of 90% CSAT rating with a 10% response rate for all cloud service-related cases. Key Qualities - Involves a meticulous approach to work, prioritizing accuracy and thoroughness to ensure high-quality outcomes. - Encapsulates taking full responsibility for one's actions and their outcomes, emphasizing accountability and learning from experiences. Skills - Experience in risk assessment. - Experience in disaster recovery. - Experience in cloud / SaaS.

Title: Senior Cloud Systems Engineer (Python & AI Integration) Location: Chicago, metro Detroit, Los Angeles, and New York City, Job Description: Full time We are looking for a heavy-hitting Python Developer with deep Azure Infrastructure expertise to own the backend and deployment for a production-grade AI conversational platform. This isn't a research role; it's a "boots-on-the-ground" engineering position requiring you to architect, deploy, and integrate AI services into a complex enterprise ecosystem for a Fortune 500 connectivity leader. The Mission You will join an ongoing program for a massive global telecommunications and connectivity client. The platform-a sophisticated chat interface with streaming responses and long-term memory-has been architected and built solo by our Technical Director to date. As we approach an April 2025 production launch, you will take over the day-to-day engineering, architecture, and "Full-Stack DevOps" ownership to scale the platform through the end of the year. What You'll Do (The Role) - Architect from Scratch: Design and deploy cloud infrastructure within Azure, ensuring services are resilient, monitored, and secure (RBAC). - Engineer Backend Services: Develop and extend high-concurrency APIs using Python and FastAPI to support agentic behaviors and real-time streaming. - Own the Deployment: In the absence of a centralized CI/CD team, you will manage the full deployment lifecycle, running scripts across environments and building the path toward future automation. - Integrate AI as a Service: Implement and orchestrate LLMs, Vector Databases, and RAG pipelines using the Microsoft Agent Framework (MAF). - Data Orchestration: Build the data flows required for "agent memory" and prepare for upcoming integrations with Adobe Experience Platform (AEP) and Salesforce Data Cloud. - Navigate the Enterprise: Work within a highly matrixed environment, independently managing communications with upwards of 25 project managers and stakeholders. What You'll Have (The Requirements) - Python Mastery: Professional experience building production backend systems (FastAPI preferred). - Azure Infrastructure: You are a "Cloud First" developer capable of configuring Azure Functions, Container Apps, and API Management independently. - The "DevOps" Skillset: Hands-on experience with Docker and manual environment management; you don't need a DevOps team to ship code. - Practical AI Understanding: You treat AI as "just another development effort." You understand how to integrate LLMs and manage context without getting lost in the "hype." - Enterprise Endurance: Experience working in large-scale corporate environments. The Tech Stack - Languages/Frameworks: Python, FastAPI, Microsoft Agent Framework (MAF) - Cloud: Azure (Functions, APIM, RBAC, Monitoring) - Data/Containers: Postgres, Docker, Vector Databases - Future Integrations: Adobe Experience Platform, Salesforce Data Cloud The annual salary range for this position is $94,000 - $152,375. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law. Benefits available with this position include: - Medical, vision, and dental insurance, - Life insurance, - Short-term and long-term disability insurance, - 401k, - Flexible paid time off, - At least 15 paid holidays per year, - Paid sick and safe leave, and - Paid parental leave. Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. To begin the application process, please click on the "Apply" button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps. At dentsu, we believe great work happens when we're connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office. Location: New York Brand: Merkle Time Type: Full time Contract Type: Permanent Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. 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