Senior Delivery Consultant - Application Modernization, Aws Professional Services

Amazon Amazon · Big Tech · NY +1 · Software Development

This role focuses on leading the design, implementation, and management of AWS cloud solutions for application modernization, acting as a trusted advisor to customers on cloud adoption and emerging technologies. It involves collaborating with stakeholders, assessing current applications, proposing migration strategies, and ensuring adherence to best practices throughout the project lifecycle.

What you'd actually do

  1. Leading the design and implementation of complex, scalable, and secure AWS solutions tailored to customer needs
  2. Provide technical guidance and troubleshooting support throughout project delivery
  3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
  4. Acting as a trusted advisor to customers on industry trends and emerging technologies
  5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
  6. Experience as a tech lead or leading a high performing consulting team

Skills

Required

  • Bachelor's degree, or 5+ years of consulting, design and implementation of serverless distributed solutions experience
  • 5+ years of architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc. experience
  • Experience in automating, deploying, and supporting large-scale infrastructure
  • Experience leading application architecture/design/modernization projects, including cloud-based solutioning (AWS or equivalent), with AI and automation

Nice to have

  • AWS Professional level certification, or AWS Associate level certification
  • Experience with IT compliance and risk management requirements (e.g. security, privacy, SOX, HIPAA etc.)
  • AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
  • Experience with automation and scripting (e.g., Terraform, Python)
  • Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
  • Experience leading large-scale software development and modernization initiatives, with deep expertise in multiple programming languages (e.g. Java, Python, C++, JavaScript, Microservices) and Generative AI tools/technologies
  • Proven ability to lead software engineering best practices across testing, source control, code reviews, and deployment/release management processes

What the JD emphasized

  • AI and automation