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Job Description & How to Apply Below
As a Senior Principal at Slalom, you will help clients accelerate large scale technology transformation by turning decades-old mainframe code into agile, cloud-native systems. This role blends deep systems understanding of z/OS with modern cloud, Dev Ops, and AI-assisted engineering practices. You’ll work across multiple domains, from code analysis and business-logic extraction to automated refactoring and re- platforming helping enterprises transition mission-critical workloads to hyperscaler infrastructure.
What you will do:- Understand, extract and document business logic from mainframe applications.
- Modernize and refactor legacy code using automated transformation tools and AI coding agents.
- Reimagine monolithic systems into cloud-native microservices and event-driven architectures.
- Build, containerize, and deploy workloads to AWS (or other hyper scaler platforms).
- Prototype modernization accelerators and proof-of-concepts using LLMs, code analysis tools, and custom pipelines.
- Collaborate with architects, operators, and data engineers to ensure secure and efficient modernization patterns.
- Proficiency in one or more mainframe languages: COBOL, PL/I, HLASM, JCL, etc.
- Knowledge of z/OS fundamentals: CICS, DB2, VSAM, batch scheduling, system utilities.
- Experience deploying workloads to a major cloud provider (AWS, Azure, or GCP).
- Experience leveraging LLMs and coding agents in software development workflows.
- Strong prototyping and POC development capability in dynamic environments.
- Thrives in fast-moving, collaborative and entrepreneurial teams.
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Preferred Qualifications- Familiarity with Code-as-Data and structured intermediate representation (IR) concepts.
- Experience with modernization frameworks such as AWS Blu Age or AWS Mainframe Modernization (Transform for z/OS).
- Experience with CI/CD pipelines, IaC (Cloud Formation/Terraform), and container orchestration (Kubernetes/Open Shift).
- Understanding of legacy data integration (DB2, VSAM, IMS) with modern cloud data stores.
- Experience designing automated test harnesses for workload equivalence validation.
- Awareness of enterprise security and IAM frameworks (RACF, IAM roles, encryption-at-rest/in-transit).
- Experience fine-tuning or prompting code-centric LLMs (e.g., Amazon Q Developer, Bedrock, Claude) for code translation, documentation, or rule extraction.
- Understanding of retrieval-augmented generation (RAG) patterns, vector databases, and agentic orchestration for code analysis pipelines.
- Consulting or systems-integration experience.
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