GSK Solutions Inc.
GSK Solutions Inc.

AWS DevOps Engineer / AI Platform Engineer (Hybrid Onsite)

Hybrid in Sinking Spring, PA, US • Posted 1 day ago • Updated 1 day ago
Contract W2
Contract Corp To Corp
Contract Independent
6 Months
No Travel Required
Hybrid
Depends on Experience
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Job Details

Skills

  • Platform Engineering / DevOps / SRE
  • AWS Cloud Services
  • Observability Tools
  • AI/LLM Platforms
  • Terraform / CI-CD
  • Agile Collaboration

Summary

Job Title

AWS DevOps Engineer / AI Platform Engineer (Hybrid Onsite)

Location

Reading, PA

Duration

6 Months

Interview Type

Virtual / In-Person

Note

  • Hybrid 2-3 days/wk at client office

  • Is your candidate willing to relocate for position 

Description

Requirements

  • Experience: 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 LangChain or AgentCore.

  • 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.

 

User this when submitting candidates:

Also please check if the next candidate has some experience with at least 50% of below items:

  • Implementation of Agents on Agentcore runtime

  • Implementation of Agentic SDLC in Agentcore

  • Understanding of Strands or any other Agentic AI framework like Langraph, Langchain or Crew AI

  • Implementation of Bedrock Knowledge Base

  • Implementation of Knowledge Graph

  • Implementation of MCP servers in Agentcore

  • Implementation of Agentcore Gateway

  • Implementation of Agentcore Identity

  • Implementation of Agentic AI Observability

  • Implementation of Agentcore Evaluations

  • Implementation of AWS Bedrock

  • Implementation of AWS Bedrock Inference Profile

  • Implementation of AWS Sagemaker

  • AWS Services (Cloud) in General

  • Terraform 

 

Deliverables

Observability

  • Assess CloudWatch, X-Ray, Bedrock logging, AgentCore traces vs. agentic workflow requirements; produce gap analysis, Setup observability in Dynatrace

  • Design post-deployment validation pipeline for agents & MCP servers (deployment health + tool registration checks)

  • Implement distributed tracing & structured logging: LLM decisions, tool selections, sub-agent calls, MCP interactions

  • Evaluate LangFuse / LiteLLM proxy vs. AWS-native; deliver target-state observability architecture recommendation

 

Cost Tracking & TCO

  • Extend tagging taxonomy to cover agent runtimes, MCP servers, vector DBs, Bedrock token consumption per namespace

  • Design cost visibility model: aggregate agent, MCP, vector DB, and Bedrock token costs per team/department

  • Build CloudWatch (or equivalent) dashboards for per-team spend; configure AWS Budgets with alerting thresholds

  • Automate cost reports delivered via email / Microsoft Teams; implement anomaly detection rules

 

Monitoring & Alerting

  • Define P1–P4 alerting rules: deployment failures, runtime errors, tool invocation failures, MCP connectivity issues

  • Integrate alert notifications to Microsoft Teams channels and email; route by resource ownership tags

  • Author runbooks linked to every alert; publish in Confluence for developer self-service resolution

  • Evaluate AWS-native vs. third-party monitoring stack; deliver recommendation aligned to observability architecture

 

Security & Access Control

  • Assess current IAM + tagging approach for multi-team isolation; identify scalability gaps and risks

  • Evaluate Cedar policy engine (AgentCore) for fine-grained tool access control; document enterprise-scale gaps

  • Design scalable ABAC-based identity model for multi-team isolation without IAM policy sprawl; deliver Terraform modules

Top Skills

Skill

Experience required

Platform Engineering / DevOps / SRE

8+ years

AWS Cloud Services

7+ years

Observability Tools

7+ years

AI/LLM Platforms

7+ years

Terraform / CI-CD

7+ years

Agile Collaboration

7+ years

Recruiter

Contact: Sameer - - Seven one nine - two three nine - Five five five five

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10498904
  • Position Id: 35887-2053-1789135301
  • Posted 1 day ago

Company Info

About GSK Solutions Inc.

Our values are integrity, leading change, excellence, and respect for the individual, learning and sharing. Our success is based on our ability to be flexible while adhering to a strict project management methodology.

We inspire personal and professional growth in our people through innovation and creativity. We reward excellence. We earn the trust of our customers and the respect of our employees through exceptional teamwork, good business ethics and a high level of commitment

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Ram Krishna

Ram Krishna

Recruiter @ GSK Solutions Inc.
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