Information Technology_USA - USA_Platform Architect
Real Soft, Inc.
Jacksonville, FL, USA
6/8/2026
Full time
Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
: / Hr. (Max)
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Shilpa Bajpai
Location: Durham, NC - Onsite, if possible, else Remote
Duration: 6 months
skill id:10792047
Role: Prinicipal AgentOps Engineer
Must Have Skills: AI Agents
Experience Required: 10 & Above
Here is the primary skill
AgentOps / Agentic Systems
Agent orchestration frameworks
Agent planning and execution flows
Tool invocation and tool management for agents
Graph Databases
Graph database design and data modeling
Query optimization in graph systems
Hands-on experience with at least one of:
Neo4j
Amazon Neptune
TigerGraph
JanusGraph
Integrating graph-based knowledge with agentic systems and platform services
Backend Engineering
Expert-level Python backend development
Production-grade service development
API design and implementation
Debugging complex production issues
Cloud & Infrastructure (AWS)
Strong, hands-on AWS experience in production
Cloud-native architecture design
High availability and fault-tolerant system design
Cost-efficient cloud architecture
Platform & DevOps
CI/CD pipelines
Automation and developer productivity tooling
Observability tooling:
Logging
Metrics
Tracing
Distributed Systems
Large-scale distributed system design
Scalability and performance tuning
Resilience and operational stability
Role Descriptions:
Key Responsibilities-
Principal-Level Technical Ownership Act as technical owner and architect for AgentOps and AXIS platform components.
Drive system design decisions across scalability| resilience| performance| and security.
Evaluate tradeoffs and make high-impact architectural calls independently.
Ensure platform designs align with long-term enterprise and AIAgent strategy.
AgentOps Agentic Systems Engineering Design and implement agentic workflows| orchestration| and lifecycle management.
Extend and optimize Agentic frameworks (planning| memory| tool usage| coordination).Build guardrails for reliability| observability| and safe execution of autonomous agents.
Improve agent runtime performance and operational stability at scale.
Design and implement solutions using Graph Databases (e.g.| Neo4j| Neptune| TigerGraph| JanusGraph| etc.).Integrate graph-based knowledge with agentic systems and platform services.
Hands-on Engineering Platform Enablement
Write and review production-grade code across critical services.
Build and enhance platform capabilities| APIs| and internal tooling.
Improve CICD pipelines| automation| and developer productivity tooling.
Lead debugging and resolution of complex production issues.
Cloud Operational Excellence (AWS)
Architect and implement cloud-native solutions on AWS.
Deep hands-on experience with AWS services (e.g.| EKS| ECS| Lambda| EC2| S3| DynamoDB| RDS| OpenSearch| IAM).
Ensure high availability| fault tolerance| and cost-efficient designs.
Embed observability (logging| metrics| tracing) and operational best practices.
Partner closely with Engineering Managers| Product| and Platform stakeholders.
Mentor senior engineers and unblock teams as needed.
Produce clear architecture docs| runbooks| and design artifacts.
Ensure strong knowledge transfer before contract completion., Project Code :
ALL CAPS, NO SPACES B/T UNDERSCORES
: / Hr. (Max)
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Shilpa Bajpai
Location: Durham, NC - Onsite, if possible, else Remote
Duration: 6 months
skill id:10792047
Role: Prinicipal AgentOps Engineer
Must Have Skills: AI Agents
Experience Required: 10 & Above
Here is the primary skill
AgentOps / Agentic Systems
Agent orchestration frameworks
Agent planning and execution flows
Tool invocation and tool management for agents
Graph Databases
Graph database design and data modeling
Query optimization in graph systems
Hands-on experience with at least one of:
Neo4j
Amazon Neptune
TigerGraph
JanusGraph
Integrating graph-based knowledge with agentic systems and platform services
Backend Engineering
Expert-level Python backend development
Production-grade service development
API design and implementation
Debugging complex production issues
Cloud & Infrastructure (AWS)
Strong, hands-on AWS experience in production
Cloud-native architecture design
High availability and fault-tolerant system design
Cost-efficient cloud architecture
Platform & DevOps
CI/CD pipelines
Automation and developer productivity tooling
Observability tooling:
Logging
Metrics
Tracing
Distributed Systems
Large-scale distributed system design
Scalability and performance tuning
Resilience and operational stability
Role Descriptions:
Key Responsibilities-
Principal-Level Technical Ownership Act as technical owner and architect for AgentOps and AXIS platform components.
Drive system design decisions across scalability| resilience| performance| and security.
Evaluate tradeoffs and make high-impact architectural calls independently.
Ensure platform designs align with long-term enterprise and AIAgent strategy.
AgentOps Agentic Systems Engineering Design and implement agentic workflows| orchestration| and lifecycle management.
Extend and optimize Agentic frameworks (planning| memory| tool usage| coordination).Build guardrails for reliability| observability| and safe execution of autonomous agents.
Improve agent runtime performance and operational stability at scale.
Design and implement solutions using Graph Databases (e.g.| Neo4j| Neptune| TigerGraph| JanusGraph| etc.).Integrate graph-based knowledge with agentic systems and platform services.
Hands-on Engineering Platform Enablement
Write and review production-grade code across critical services.
Build and enhance platform capabilities| APIs| and internal tooling.
Improve CICD pipelines| automation| and developer productivity tooling.
Lead debugging and resolution of complex production issues.
Cloud Operational Excellence (AWS)
Architect and implement cloud-native solutions on AWS.
Deep hands-on experience with AWS services (e.g.| EKS| ECS| Lambda| EC2| S3| DynamoDB| RDS| OpenSearch| IAM).
Ensure high availability| fault tolerance| and cost-efficient designs.
Embed observability (logging| metrics| tracing) and operational best practices.
Partner closely with Engineering Managers| Product| and Platform stakeholders.
Mentor senior engineers and unblock teams as needed.
Produce clear architecture docs| runbooks| and design artifacts.
Ensure strong knowledge transfer before contract completion., Project Code :