Technical Account Manager - Cross Region TAM Support, ES-India

Amazon
London
2 days ago
Create job alert

Technical Account Manager - Cross Region TAM Support, ES-India Amazon has built a global reputation for being the most customer-centric company, a company that customers from all over the world recognize, value, and trust for both our products and services. Amazon has a fast-paced environment where we “Work Hard, Have Fun and Make History.”

Scroll down for a complete overview of what this job will require Are you the right candidate for this opportunityAs an increasing number of enterprises move their critical systems to the cloud, AWS India is in need of highly efficient technical consulting talent to help our largest and strategically important customers navigate the operational challenges and complexities of AWS Cloud. We are looking for Technical Consultants to support our customers' creative and transformative spirit of innovation across all technologies, including Compute, Storage, Database, Data Analytics, Application services, Networking, Server-less and more. This is not a sales role, but rather an opportunity to be the principal technical advisor for organizations ranging from start-ups to large enterprises.As a Technical Account Manager, you will be the primary technical point of contact for one or more customers helping to plan, debug, and oversee ongoing operations of business-critical applications. You will get your hands dirty, troubleshooting application, network, database, and architectural challenges using a suite of internal AWS Cloud tools as well as your existing knowledge and toolkits. We are seeking individuals with strong backgrounds in I.T. Consulting and in any of these related areas such as Solution Designing, Application and System Development, Database Management, Big Data and Analytics, DevOps Consulting, and Media technologies. Knowledge of programming and scripting is beneficial to the role.

Key job responsibilitiesEvery day will bring new and exciting challenges on the job while you:

Learn and use groundbreaking Cloud technologies.Interact with leading technologists around the world.Work on critical, highly complex customer problems that may span multiple AWS Cloud services.Apply advanced troubleshooting techniques to provide unique solutions to our customers' individual needs.Work directly with AWS Cloud subject matter experts to help reproduce and resolve customer issues.Write tutorials, how-to videos, and other technical articles for the customer community.Leverage your extensive customer support experience and provide feedback to internal AISPL teams on how to improve our services.Drive projects that improve support-related processes and our customers’ technical support experience.Assist in Design/Architecture of AWS and Hybrid cloud solutions.Help Enterprises define IT and business processes that work well with cloud deployments.Be available outside of business hours to help coordinate the handling of urgent issues as needed.BASIC QUALIFICATIONS - Bachelor’s Degree in Computer Science, IT, Math, or related discipline required, or equivalent work experience.- 10+ years of hands-on Infrastructure / Troubleshooting / Systems Administration / Networking / DevOps / Applications Development experience in a distributed systems environment.- External enterprise customer-facing experience as a technical lead, with strong oral and written communication skills, presenting to both large and small audiences.- Ability to manage multiple tasks and projects in a fast-moving environment.- Be mobile and travel to client locations as needed.PREFERRED QUALIFICATIONS - Advanced experience in one or more of the following areas: Software Design or Development, Content Distribution/CDN, Scripting/Automation, Database Architecture, Cloud Architecture, Cloud Migrations, IP Networking, IT Security, Big Data/Hadoop/Spark, Operations Management, Service Oriented Architecture etc.- Experience in a 24x7 operational services or support environment.- Experience with AWS Cloud services and/or other Cloud offerings.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visithttps://amazon.jobs/content/en/how-we-hire/accommodationsfor more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

#J-18808-Ljbffr

Related Jobs

View all jobs

Technical Account Manager, ES - INDIA

Technical Account Manager (TAM), ES - APJC- INDIA

Technical Account Manager - Hindi Speaker

Technical Account Manager Indonesia, Enterprise Support

Technical Account Manager , ES - SI - MNE, London

Technical Account Manager PS, ES ANZ TAM

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.