AWS Application Modernization Engineer

Slalom•Detroit, MI

38d•$96,000 - $169,000•Hybrid

About The Position

As a modern technology company, our Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We have a passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. We are seeking an experienced AWS Application Modernization Engineer with hands-on expertise in transforming legacy applications into cloud-native, modern architectures. This role will focus on designing, modernizing, and optimizing applications on AWS, leveraging containers, serverless, microservices, and DevOps best practices. As a key technical contributor, you will work closely with cloud architects, data scientists, and business stakeholders to modernize applications using cloud-native services and tools. This role is delivery-focused and requires strong engineering skills in building, migrating, and integrating applications on AWS. This is an excellent opportunity for an innovative cloud professional with strong AWS and AI expertise, combined with consulting and solutioning skills, to shape the future of cloud-native applications.

Requirements

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, DynamoDB, CloudFront, and Step Functions.
Knowledge of application integration patterns, APIs, and event-driven systems (SNS, SQS, Kafka, Kinesis).
Proficiency with DevOps and Infrastructure-as-Code (Terraform, CloudFormation, AWS CDK).
Experience building and maintaining CI/CD pipelines for application delivery.
Familiarity with modern software delivery practices (Agile, DevOps, GitOps).
Proficiency in automation and scripting (Python, Bash, PowerShell) for AI workflows and integrations.
Experience with AWS AI/ML services such as Amazon Bedrock, SageMaker, 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.

Nice To Haves

AWS certifications such as: AWS Certified Solutions Architect - Associate/Professional AWS Certified DevOps Engineer - Professional, or 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, App2Container, and Microservice Extractor.
Hands-on expertise with Generative AI and Agentic AI technologies, including large language models (LLMs), fine-tuning, prompt engineering, and agent orchestration.
Familiarity with Zero Trust AI security models and ethical AI frameworks.

Responsibilities

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, DynamoDB, Aurora, and App Runner.
Develop and maintain DevOps 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, DynamoDB, RDS migrations, ElastiCache, 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, SageMaker, 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 DevOps and MLOps teams to integrate model training, fine-tuning, and deployment pipelines using Terraform, CloudFormation, or AWS CDK.
Monitor and optimize AI model performance using tools such as SageMaker Model Monitor, CloudWatch, and custom observability frameworks.
Provide strategic guidance on AWS AI adoption, including cost optimization, scaling strategies, and roadmap development for AI-enabled enterprises.

Benefits

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that includeâ meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.

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