Solution Architect/System Architect (US)

Trinetix

2h

About The Position

Trinetix is seeking a Solution Architect to design and own the end-to-end architecture for an enterprise Fleet Cascading & Optimization Platform managing 46,000+ vehicles across 545+ locations. Define cloud-native patterns for microservices, data platform, ML infrastructure, and enterprise integrations. Drive technical decisions across security, scalability, and compliance (SOC 2, PIPEDA) while collaborating with engineering, data science, and business stakeholders.

Requirements

• 8+ years of software engineering experience, including 4+ years in architecture-focused roles
• AWS Solutions Architect certification (Professional level preferred)
• Proven experience working with enterprise-scale distributed systems
• AWS Architecture: Hands-on experience with VPC, ECS/Fargate, API Gateway, Lambda, Step Functions, EventBridge, SNS/SQS, ALB, and CloudFront
• Data Architecture: Strong knowledge of Snowflake (architecture, RBAC/ABAC, performance optimization), S3 Data Lake, Apache Iceberg, and CDC patterns (DMS, Debezium)
• Security & Compliance: Experience with IAM, Enterprise SSO, KMS, Secrets Manager, WAF; understanding of SOC 2 controls and data residency requirements
• Infrastructure as Code: Proficiency with Terraform or CloudFormation; experience building CI/CD pipelines (CodePipeline, GitHub Actions, etc.) and applying GitOps practices

Nice To Haves

• ML Platform: Experience with SageMaker (Pipelines, Feature Store, Model Monitor, Endpoints), Bedrock, and MLOps patterns
• Integration Patterns: REST/GraphQL API design, OpenAPI 3.0, asynchronous messaging, saga patterns, circuit breakers
• Observability & Cost Optimization: CloudWatch, X-Ray, OpenTelemetry, APM dashboards; cost optimization using tools like Trusted Advisor and Cost Explorer

Responsibilities

• Design microservices architecture on AWS (ECS/Fargate, API Gateway, Lambda, etc.) with event-driven patterns (EventBridge, SNS/SQS)
• Architect data platform: Snowflake warehouse, S3 Data Lake (Iceberg), real-time CDC pipelines, ETL/ELTpipelines, RBAC/ABAC security model
• Define ML platform architecture: SageMaker pipelines, Feature Store, Model Registry, Bedrock integration for Gen AI
• Lead integration strategy for enterprise systems (Hexagon, Salesforce, JD Edwards) via APIs, CDC, and ETL patterns

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed