Job Title

Role Overview We are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures . Key Responsibilities 1. Architecture & System Modernization Own the redesign of the Truscan backend architecture: Multi-stage compute pipeline (Stage 1–4) High-performance Python workers (Blender, Open3D, CV, ML pipelines) RabbitMQ or AWS-native event orchestration Build an event-driven, scalable system architecture leveraging: AWS ECS Fargate / EKS for isolated compute AWS Lambda where applicable AWS Step Functions for orchestration AWS SQS/SNS as queueing alternatives to RabbitMQ Introduce horizontal scaling patterns for heavy Blender/Python workloads. 2. Performance Engineering Analyze slow-running compute code and provide architectural solutions: Worker isolation Parallel multi-processing Concurrency throttling Memory and CPU right-sizing Recommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction ). 3. DevOps & CI/CD Engineering Establish full CI/CD pipelines using: AWS CodePipeline / GitHub Actions Dockerized environments for Python compute Automated deployments for Java Spring Boot + Python services Implement AWS-native observability: CloudWatch Logs Application Insights AWS X-Ray for traceability Prometheus/Grafana for performance dashboards (optional) 4. Security, Governance & Best Practices Harden the compute platform with AWS standards: VPC design (private subnets, NAT, security groups) Secrets Manager / Parameter Store IAM roles with least-privilege access Migrate static configs to AWS-managed secure storage. 5. Reliability, Fault Tolerance & Scaling Design fault-tolerant workers for handling: Failed scans Retries Idempotent processing Large file handling (USDZ, PNG, GLB) Implement S3 tiered storage & lifecycle policies for compute data. 6. Collaboration & Leadership Work directly with Java, Python, ML, and DevOps teams. Translate business performance goals (SLA improvement, throughput increase) into concrete technical plans. Provide sprint planning guidance and architectural documentation. Required Skills & Experience 1. Core AWS Expertise Must-have production experience with: ECS (Fargate), EKS, EC2 Autoscaling S3, Lambda, API Gateway Step Functions SQS/SNS CloudWatch, X-Ray, CloudTrail VPC, Subnets, NAT, SGs AWS Secrets Manager / Parameter Store IAM design 2. High-Performance Compute Experience Expert in running compute-heavy workloads (3D processing, ML workflows, or large image pipelines). Experience with containerized Blender/Open3D , GPU/CPU optimization, or similar pipelines. 3. Strong Python & Java Background Enough understanding to review and guide improvements in: Python multi-processing Asynchronous compute workers Java Spring Boot schedulers, producers, queue consumers File-locking, message-driven architecture 4. DevOps & Automation Docker, GitHub Actions, AWS CodeBuild, CodePipeline Infrastructure-as-Code: CloudFormation or Terraform Monitoring & alerting design 5. Architecture Skills Event-driven design patterns Microservices architecture Race-condition and concurrency safety Distributed locks, queues, idempotent consumers Circuit breaker, retry strategies