[Hiring] Senior Engineer – AWS @Ahead

Role Description

We are seeking a versatile Tier/3 AWS Engineer to join our Partner-Led Enterprise Support team. You will act as the primary technical escalation point for a broad range of AWS customers, handling high-severity incidents, complex architectural reviews, and proactive optimization across the full AWS service portfolio. This role requires deep, practical expertise in multiple AWS domains and the ability to deliver rapid, high-quality outcomes under pressure.

As a Senior Cloud Engineer, you will utilize your extensive knowledge and experience to design, develop and deploy solutions for an array of technologies. You will work with a collaborative team leading, mentoring and ensuring development efforts are well documented and delivered with quality.

A Senior Cloud Engineer is a highly experienced field professional, who combines a breadth of knowledge across open-source, enterprise and cloud technologies with a proven track record of delivery. They are expected to lead engagements and exhibit a high degree of commercial awareness along with mature communication skills.

The Senior Cloud Engineer is highly experienced in designing, developing, and deploying integration solutions with external third-party tools. You will work with customer service owners, process owners and various service delivery groups and participate in customer engagements, demonstrations, and meetings in a professional and courteous manner. There is an expectation of some travel and after-hours/weekend support in the event of major outages/issues, or when requested by the client for change windows (or similar events).

Qualifications

• 8+ years hands-on experience designing, operating, and troubleshooting production workloads on AWS.
• AWS Professional-level certification (Solutions Architect Pro or DevOps Engineer Pro) + at least one Specialty (e.g., Security, Networking, Data Analytics, ML).
• Broad, practical knowledge across compute, storage, database, networking, security, and management tools.
• Proficiency in Infrastructure as Code (CloudFormation, CDK, or Terraform).
• Strong scripting: Python (boto3) and shell scripting; experience with automation frameworks.
• Customer-facing role for a minimum of 5+ years.
• 3+ years designing, securing, and deploying large-scale applications and solutions.
• Experience with one of the major cloud vendor environments (development, access, migration).
• Effectively communicate with, and present to all levels of the organization.
• Subject matter expert in at least one major cloud provider (AWS/Azure/GCP).
• Architect level development skills in at least one development language (Java, Python, PowerShell, etc.).
• Strong skills integrating third party tools and solutions.
• Strong project and situational awareness.
• Strong attention to detail.
• Self-starter.
• Well organized.
• Able to travel as required.

Requirements

• Basic understanding of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI concepts.
• Exposure to AWS AI/ML services such as Amazon Bedrock, SageMaker, Rekognition, Comprehend, Textract, or Lex.
• Understanding AI-assisted operations, automation, and observability tools.
• Awareness of Large Language Models (LLMs), prompt engineering, and AI governance/security best practices.
• Ability to support AI/ML workloads on cloud infrastructure including GPU-enabled environments.
• Familiarity with integrating AI services into DevOps and cloud automation workflows is an added advantage.

Company Description