Job Details

Overview

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.

What You'll Do

• 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.

What You'll Bring

• 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 Have

• 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.

About Us

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

Compensation And Benefits

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom invests in benefits that include 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. The base salary pay range is $109,000 to $148,000 for Consultant level and $125,000 to $170,000 for Senior Consultant level, with potential annual discretionary bonus. Actual compensation depends on skills, experience, location, and other factors.

EEO And Accommodations

Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.