AWS Solution Architect

2 weeks ago

Secunderabad, India Saxon AI Full time

Role OverviewWe are looking for a highly skilled AWS Solution Architect with deep experience in designing and optimizing scalable, compute-intensive, event-driven architectures .Key Responsibilities1. Architecture & System ModernizationOwn 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 orchestrationBuild an event-driven, scalable system architecture leveraging:AWS ECS Fargate / EKS for isolated computeAWS Lambda where applicableAWS Step Functions for orchestrationAWS SQS/SNS as queueing alternatives to RabbitMQIntroduce horizontal scaling patterns for heavy Blender/Python workloads.2. Performance EngineeringAnalyze slow-running compute code and provide architectural solutions:Worker isolationParallel multi-processingConcurrency throttlingMemory and CPU right-sizingRecommend improvements in Python, Blender, Open3D runtimes to reduce Stage 3 times (goal: 50% reduction ).3. DevOps & CI/CD EngineeringEstablish full CI/CD pipelines using:AWS CodePipeline / GitHub ActionsDockerized environments for Python computeAutomated deployments for Java Spring Boot + Python servicesImplement AWS-native observability:CloudWatch LogsApplication InsightsAWS X-Ray for traceabilityPrometheus/Grafana for performance dashboards (optional)4. Security, Governance & Best PracticesHarden the compute platform with AWS standards:VPC design (private subnets, NAT, security groups)Secrets Manager / Parameter StoreIAM roles with least-privilege accessMigrate static configs to AWS-managed secure storage.5. Reliability, Fault Tolerance & ScalingDesign fault-tolerant workers for handling:Failed scansRetriesIdempotent processingLarge file handling (USDZ, PNG, GLB)Implement S3 tiered storage & lifecycle policies for compute data.6. Collaboration & LeadershipWork 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 & Experience1. Core AWS ExpertiseMust-have production experience with:ECS (Fargate), EKS, EC2 AutoscalingS3, Lambda, API GatewayStep FunctionsSQS/SNSCloudWatch, X-Ray, CloudTrailVPC, Subnets, NAT, SGsAWS Secrets Manager / Parameter StoreIAM design2. High-Performance Compute ExperienceExpert 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 BackgroundEnough understanding to review and guide improvements in:Python multi-processingAsynchronous compute workersJava Spring Boot schedulers, producers, queue consumersFile-locking, message-driven architecture4. DevOps & AutomationDocker, GitHub Actions, AWS CodeBuild, CodePipelineInfrastructure-as-Code: CloudFormation or TerraformMonitoring & alerting design5. Architecture SkillsEvent-driven design patternsMicroservices architectureRace-condition and concurrency safetyDistributed locks, queues, idempotent consumersCircuit breaker, retry strategies

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