AWS Modernization Engineer

Join to apply for the AWS Application Modernization Engineer role at Slalom
.

Candidates can live within commutable distance to any Slalom office in the US. We have a hybrid and flexible environment.

• Implement application modernization projects, including re-platforming, re-architecting, and refactoring of enterprise applications for AWS.
• Build applications using microservices, event-driven architectures, and serverless-first designs leveraging AWS services such as EKS, ECS, Lambda, API Gateway, Step Functions, Dynamo
  
  DB, Aurora, and App Runner.
• Develop and maintain Dev Ops pipelines and cloud-native CI/CD workflows to accelerate application delivery.
• Implement containerization strategies using Kubernetes (EKS), Docker, and ECS with best practices for scaling and resilience.
• Modernize data layers using Aurora, Dynamo
  
  DB, RDS migrations, Elasti Cache, and API-driven integration patterns.
• Ensure application designs meet enterprise-grade requirements for security, compliance, observability, and disaster recovery.
• Work with security and governance teams to embed cloud-native security controls, identity, and compliance frameworks.
• Stay current with AI trends in cloud-native development and contribute to proofs-of-concept that demonstrate business value from AI-enhanced applications.
• Design and implement Generative AI and Agentic AI solutions on AWS using services such as Amazon Bedrock, Sage Maker, Lambda, and API Gateway.
• Build and optimize LLM-powered applications for use cases including knowledge assistants, code generation, customer service automation, and enterprise search.
• Integrate AI-powered services into modernized applications where appropriate, such as intelligent search, content generation, or predictive analytics.
• Architect autonomous agent workflows capable of orchestrating multi-step reasoning, tool usage, and integrations with enterprise systems.
• Partner with Dev Ops and MLOps teams to integrate model training, fine-tuning, and deployment pipelines using Terraform, Cloud Formation, or AWS CDK.
• Monitor and optimize AI model performance using tools such as Sage Maker Model Monitor, Cloud Watch, and custom observability frameworks.
• Provide strategic guidance on AWS AI adoption, including cost optimization, scaling strategies, and roadmap development for AI-enabled enterprises.

• 4+ years of experience in application architecture, development, or modernization.
• 3+ years in AWS cloud modernization projects.
• Hands‑on expertise in modernizing applications using microservices, containers, and serverless architectures.
• Experience with legacy‑to‑modern transformations (Java/.NET to containerized or serverless architectures).
• Strong knowledge of AWS services supporting modernization, including EKS, ECS, Lambda, API Gateway, App Runner, Aurora, Dynamo
  
  DB, Cloud Front, and Step Functions.
• Knowledge of application integration patterns, APIs, and event‑driven systems (SNS, SQS, Kafka, Kinesis).
• Proficiency with Dev Ops and Infrastructure‑as‑Code (Terraform, Cloud Formation, AWS CDK).
• Experience building and maintaining CI/CD pipelines for application delivery.
• Familiarity with modern software delivery practices (Agile, Dev Ops, Git Ops).
• Proficiency in automation and scripting (Python, Bash, Power Shell) for AI workflows and integrations.
• Experience with AWS AI/ML services such as Amazon Bedrock, Sage Maker, Comprehend, Transcribe, Translate, Rekognition, and related integrations.
• Familiarity with MLOps practices for training, deployment, and lifecycle management of AI/ML models.
• Strong knowledge of cloud security and compliance in AI deployments (IAM, encryption, responsible AI, data privacy).
• Excellent communication skills with the ability to bridge technical and business conversations.

• AWS certifications such as AWS Certified Solutions Architect – Associate/Professional, AWS Certified Dev Ops Engineer – Professional, AWS Certified Developer – Associate, AWS Certified Machine Learning Specialty.
• Experience with cloud‑native development frameworks (Spring Boot, Node.js, .NET Core, Python for Lambda).
• Familiarity with modernization accelerators such as AWS Migration Hub Refactor Spaces,…