AWS AgentCore Platform Engr
Generis Tek · Reading, PA · Hybrid
Mixed hiring record · median 42 days open
All reasons
- Open 124 days
In its favour
- Still listed on the employer's own board
Please Contact
To discuss this amazing opportunity, reach out to our Talent Acquisition Specialist Srushti Mane at email address srush.mane@generistek.com can be reached on # (630) 576-1930.
We have Contract role AWS Agent Core Platform Engr- Hybrid for client at Reading PA. Please let me know if you or any of your friends would be interested in this position.
Position Details
AWS Agent Core Platform Engr -Hybrid- Reading PA
Location
Reading,PA–19601(Hybrid role)
Project Duration
12+ months (Contract to Hire)
Job Description
- Python (3.11+): Hands-on experience building robust applications and agentic logic.
- Amazon SageMaker Unified Studio (SMUS) & ML Ops: Hands-on experience with SMUS to manage the end-to-end ML lifecycle. This includes automating model training, registering models in the centralized registry, and configuring real-time/asynchronous inference endpoints within the SMUS ecosystem.
- Infrastructure as Code (IaC): Production-level expertise using Terraform to provision AWS services, including Bedrock Agents, Knowledge Bases, DynamoDB, Lambda, etc.
- CI/CD & DevOps: Proven track record in building and maintaining automated deployment pipelines for cloud-native applications and ML Ops workflows.
- AWS Security & Identity: Deep experience with IAM for fine-grained permissions and secure service communication.
- AWS Bedrock Agent Core : Familiarity with the latest ecosystem, specifically the Agent Runtime, Memory, Identity, and Tool Gateway layers.
- Multi-Agent Orchestration: Experience building or enabling collaborative systems using frameworks like Lang Graph, strands, etc.
- Model Context Protocol (MCP): Strong understanding of MCP and modern tool/API integration patterns for AI agents.
- AWS Certification (Optional): Holding one or more AWS Professional-level certifications—specifically the AWS Certified AI Practitioner or AWS Certified Machine Learning – Specialty—is highly preferred and considered a strong plus.
- Continuous Learning: Willingness to learn emerging AI technologies, frameworks, and evolving cloud services.
Mandatory skills
- 8+ years in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).
- Cloud Expertise: Deep proficiency in AWS (IAM, CloudWatch, Bedrock, Lambda).
- Observability Tools: Proven experience with Dynatrace, Jaeger, or Honeycomb, and distributed tracing standards.
- AI/LLM Interest: Familiarity with the LLM lifecycle, including prompt execution, token usage, and frameworks like Lang Chain or Agent Core.
- Automation: Advanced experience with Terraform and CI/CD pipeline design.
- Collaboration: Experience working in an Agile environment with integrated tools like Microsoft Teams and Confluence.
To discuss this amazing opportunity, reach out to our Talent Acquisition Specialist Srushti Mane at email address srush.mane@generistek.com can be reached on # (630) 576-1930.
About generis Tek
generis tek is a boutique it/professional staffing based in Chicago land. We offer both contingent labor & permanent placement services to several fortune 500 clients nationwide. Our philosophy is based on delivering long-term value and build lasting relationships with our clients, consultants and employees. Our fundamental success lies in understanding our clients’ specific needs and working very closely with our consultants to create a right fit for both sides. We aspire to be our client has most trusted business partner.
Skills
- AWS
- Python
- SageMaker
- Machine Learning
- Terraform
- Bedrock
- DynamoDB
- AWS Lambda
- IAM
- Model Context Protocol
- AWS CloudWatch
- Dynatrace
- Jaeger
- Honeycomb
- LLM
- Confluence
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