Required Skills

pythonawshuman resources

Job Description

Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We’re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we’re developing strategies and implementing solutions that enable the transformative change they need to own their future.

As a member of the Huron corporate team, you’ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results.

Join our team and create your future.

We are seeking a Sr. Associate (Lead AWS Engineer) to join our Platform Engineering team, responsible for building and operating a reliable, scalable AWS platform. This role demands strong hands\-on expertise in troubleshooting core AWS services, driving automation\-first operations, and improving platform reliability.

You will lead incident management efforts, reduce MTTR through automation and observability, and partner with global stakeholders during US office hours. A key aspect of this role includes designing and operationalizing GenAI use cases using AWS Bedrock and SageMaker (mandatory) while ensuring secure, governed usage.

This is a highly ownership\-driven role requiring technical leadership, mentoring, and continuous improvement of platform engineering practices.**Requirements:**

Lead end\-to\-end **incident triage, troubleshooting, and resolution** acrossEC2, S3, SSM, IAM, ECS, Lambda, Step Function, SCPs, SSO, VPC, RDS, AWS AI Services, and ECS environments
Design and implement **platform reliability improvements** through automation, monitoring, and architectural optimizations
Build and maintain **automation solutions** (Python/Powershell) to eliminate manual tasks and enable self\-healing workflows
Enforce **AWS security best practices** including IAM least privilege, credential hygiene, and periodic access reviews
Troubleshoot and optimize **ECS/container workloads**, including scaling, networking, and performance tuning
Leverage **AWS Systems Manager (SSM)** for fleet management, patching, remote execution, and automation
Manage and govern **S3 storage** including lifecycle policies, encryption, access controls, and data protection standards
Design, implement, and operationalize **AWS Bedrock use cases** including prompt workflows, guardrails, secure access, and monitoring
Enhance **observability** through logs, metrics, and traces; tune alerts and build actionable dashboards
Drive **change management, release governance, and post\-incident reviews** with clear documentation and outcomes

*Preferences:**

6–8 years of experience in cloud infrastructure/platform engineering, with strong AWS exposure
Proven **hands\-on troubleshooting expertise** across EC2, S3, SSM, IAM, ECS, Lambda, Step Function, SCPs, SSO, VPC, RDS, AWS AI Services
**Mandatory:** Experience with **AWS Bedrock** (implementation, operations, or GenAI integration)
**Mandatory:** Strong **automation experience** (Python, Terraform/CloudFormation)
Solid understanding of **IAM, security best practices, and cloud governance**
Experience with **observability tools** (CloudWatch or equivalent logging/monitoring platforms)
Strong collaboration skills, especially working with **distributed/global teams**