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AWS Architect

Sincera Technologies, Inc.Reading, PA🇺🇸United States

Why this role stands out

This hybrid AWS Architect role at Sincera Technologies offers a fantastic opportunity to leverage your Python, MLOps, and IaC expertise to build cutting-edge solutions within a reputable company. If you thrive on complex challenges and want to shape the future of cloud infrastructure, this is an exciting position to explore.

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationReading, PA, United States
DynamoDBAWSMLOpsPythonTerraformMachine LearningCI/CDLangGraphIAM

Job description

  • Python (3.11+): Hands-on experience developing robust, scalable applications and implementing agentic logic using Python.
  • Amazon SageMaker Unified Studio (SMUS) & MLOps: Hands-on experience with SMUS for managing the end-to-end machine learning lifecycle, including automated model training, model registration in centralized model registries, and configuration of real-time and asynchronous inference endpoints.
  • Infrastructure as Code (IaC): Production-level expertise with Terraform for provisioning and managing AWS services, including Amazon Bedrock Agents, Knowledge Bases, DynamoDB, Lambda, and related cloud infrastructure.
  • CI/CD & DevOps: Proven experience designing, implementing, and maintaining automated CI/CD pipelines for cloud-native applications and MLOps workflows.
  • AWS Security & Identity: Strong experience with AWS IAM, including fine-grained permissions, access controls, and secure service-to-service communication.
  • AWS Bedrock AgentCore: Familiarity with the AWS Bedrock AgentCore ecosystem, including Agent Runtime, Memory, Identity, and Tool Gateway capabilities.
  • Multi-Agent Orchestration: Experience building or enabling collaborative multi-agent systems using frameworks such as LangGraph, Strands, or similar agent orchestration frameworks.
  • Model Context Protocol (MCP): Strong understanding of MCP and modern tool/API integration patterns for AI agents and agentic applications.
  • AWS Certification: AWS Professional-level certifications are preferred. AWS Certified AI Practitioner or AWS Certified Machine Learning – Specialty certification is highly desirable and considered a strong plus.
  • Continuous Learning: Demonstrated willingness and ability to learn and adopt emerging AI technologies, agentic frameworks, AWS services, and cloud-native development practices.

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