Slalom · 3 hours ago
AWS Application Modernization Engineer
Arizona, United States
Full-time
Hybrid
Mid, Senior Level
$105K/yr - $147K/yr
4+ years expSlalom is a modern technology consulting company that focuses on innovative solutions for clients. They are seeking an experienced AWS Application Modernization Engineer to transform legacy applications into cloud-native architectures, utilizing AWS services and best practices.
CollaborationConsultingIT ManagementManagement ConsultingProject Management
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
Qualification
Required
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
Preferred
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
Benefits
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
Short/long-term disability
Yearly $350 reimbursement account for any well-being-related expenses
Discounted home, auto, and pet insurance
Company
Slalom
Slalom Consulting is a business and technology consulting firm that designs and builds strategies and systems to help its clients
10001+ employees
H1B Sponsorship
Slalom has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
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2025 (215)
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2023 (250)
2022 (614)
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2020 (220)
Funding
Current Stage
Late StageTotal Funding
$1.69M2013-04-12Series Unknown· $1.69M
Leadership Team
Brad Jackson
CEO
John Tobin
Co-Founder and Executive President, EMEA & APAC
Recent News
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