Lead Engineer

Job Description:

We are seeking a highly skilled and experienced Senior DevOps Engineer to join our engineering team. This role focuses on building scalable, secure, and automated cloud platforms while enabling efficient and reliable software delivery across the enterprise.

You will play a critical role in designing CI/CD pipelines, managing cloud infrastructure, and integrating emerging AI-driven capabilities into modern DevOps platforms.

Key Responsibilities

• Design, implement, and optimize end-to-end CI/CD pipelines using tools such as Jenkins and GitHub

• Develop and maintain Infrastructure as Code (IaC) using Terraform

• Build and manage containerized platforms using Kubernetes (EKS) for high availability and scalability

• Implement GitOps practices using ArgoCD to enable automated continuous delivery

• Develop and maintain Jenkins pipelines and shared libraries using Groovy

• Perform automation using Python scripting and other scripting languages

• Design and implement secure, scalable AWS architectures following best practices

• Build and integrate AI-powered solutions using AWS Bedrock, including:

  • Knowledge bases

  • Retrieval-Augmented Generation (RAG) pipelines

  • Data source integrations

• Develop and maintain serverless applications using AWS Lambda

• Monitor system performance, reliability, and cost efficiency, and implement improvements

• Collaborate with development, security, and platform teams to drive DevOps best practices and standards

• Troubleshoot complex system issues and lead root cause analysis

Required Qualifications

• 8+ years of experience in DevOps, Cloud Engineering, or related roles

• Strong hands-on experience with:

  • CI/CD tools (Jenkins, GitHub, or similar)

  • Terraform for infrastructure provisioning

  • Kubernetes (EKS preferred)

  • ArgoCD or GitOps-based deployment models

• Proficiency in:

  • Groovy scripting (Jenkins pipelines and shared libraries)

  • Python scripting

• Extensive experience with AWS cloud services and architecture patterns

• Hands-on experience with AWS Lambda and serverless architectures

• Experience working with AI/ML integrations, preferably using AWS Bedrock

• Strong understanding of:

  • Cloud networking and security

  • IAM, secrets management, and compliance best practices

  • Monitoring, logging, and observability tools

Preferred Qualifications

• AWS Certified Solutions Architect – Professional

• Experience with enterprise-scale CI/CD pipeline standardization and automation

• Familiarity with platform engineering and site reliability engineering (SRE) practices

• Experience working in large, distributed enterprise environments

• Exposure to AI-driven DevOps automation or intelligent remediation

Key Skills

• CI/CD pipeline architecture and optimization

• Infrastructure as Code (Terraform)

• Kubernetes (EKS) and container orchestration

• GitOps (ArgoCD)

• Jenkins (Groovy, shared libraries)

• Python scripting and automation

• AWS cloud architecture and services

• AI/ML integration (Bedrock, RAG, knowledge bases)

• Serverless computing (Lambda)

What We’re Looking For

• A hands-on senior engineer who can both design and implement solutions

• Strong analytical and problem-solving skills with attention to detail

• Ability to operate in a fast-paced enterprise environment with multiple priorities

• Excellent communication and collaboration skills

• Passion for automation, innovation, and continuous improvement

Location:

This position can be based in any of the following locations:

Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday