AWS Solution Architect

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