Solution Architect
Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Oct 8, 2026.
Job Summary
To define solution architecture based on business requirements and established standards in line with the defined future state enterprise IT landscape.
Key Responsibilities
1. Define Target Architecture Design the future-state OM architecture (often omnichannel)Align with enterprise standards (cloud, microservices, APIs, event-driven)Ensure scalability, resilience, and flexibility2. Business-IT Alignment Translate business goals (faster fulfillment, better CX, cost optimization) into architectureWork closely with:Business stakeholders (sales, supply chain, customer service)Product ownersIT delivery teams3. Assess Current Landscape Evaluate existing OMS, ERP, WMS, CRM systemsIdentify gaps, redundancies, and technical debtCreate as-is → to-be roadmap 4. Technology Selection Recommend OMS platforms (e.g., SAP S/4, Salesforce OMS, IBM Sterling, Manhattan)Decide on:Integration patterns (API-led, ESB, event streaming)Data architecture (MDM, real-time vs batch)Cloud strategy (AWS, Azure, GCP)5. Integration Architecture Design integrations across:eCommerce platformsERPWarehouse/LogisticsPayment systemsPromote reusable APIs and canonical data models6. Governance & Standards Establish architecture principles, guardrails, and review boardsEnsure compliance with security, data privacy, and enterprise policies7. Transformation Roadmap Define phased rollout (MVP → scale)Balance quick wins with long-term architecture visionManage dependencies across program
Skill Requirements
Java/Kotlin microservices, cloud-native frameworks (Spring Boot / Quarkus)Architecture
Applications: Java/Kotlin microservices, cloud-native frameworks (Spring Boot / Quarkus)Integration: APIs, API gateway (kong), integration frameworksEventing & Workflow: Messaging/streaming, sagas, long-running workflows (Temporal)Runtime: Docker / podman, Cloud Run, Kubernetes (GKE)Data: Relational (Postgres) , NoSQL (MongoDB, BigTable, BigQuery), caching, data pipelinesPlatform: Containers, Kubernetes, cloud runtimes, IaCCross-Cutting: Security, observability, CI/CD, DevSecOp
Other Requirements
Java/Kotlin microservices, cloud-native frameworks (Spring Boot / Quarkus)Architecture
Applications: Java/Kotlin microservices, cloud-native frameworks (Spring Boot / Quarkus)Integration: APIs, API gateway (kong), integration frameworksEventing & Workflow: Messaging/streaming, sagas, long-running workflows (Temporal)Runtime: Docker / podman, Cloud Run, Kubernetes (GKE)Data: Relational (Postgres) , NoSQL (MongoDB, BigTable, BigQuery), caching, data pipelinesPlatform: Containers, Kubernetes, cloud runtimes, IaCCross-Cutting: Security, observability, CI/CD, DevSecOp