Job Description
Lead DevOps Engineer
Job Description
We are seeking an experienced Lead DevOps Engineer to drive the architecture, development, and implementation of enterprise cloud infrastructure and automation solutions. This hands-on leadership role will focus on AWS cloud environments, Infrastructure as Code, CI/CD pipelines, and cloud-native technologies while partnering with product, engineering, and client stakeholders to deliver scalable, secure, and reliable solutions.
Key Responsibilities
- Lead the design and implementation of DevOps strategies, cloud architecture, and infrastructure automation.
- Build and optimize CI/CD pipelines and automated workflows using Terraform, Jenkins, GitHub Actions, and related tools.
- Architect and deploy cloud-native applications and infrastructure within AWS environments.
- Establish best practices for cloud security, infrastructure management, application deployment, and operational reliability.
- Collaborate with engineering and product teams to solve complex technical challenges and drive delivery.
- Provide technical leadership and mentorship while evaluating and introducing new cloud technologies.
- Communicate architectural decisions and technical solutions to both technical teams and client stakeholders.
Required Qualifications
- 12+ years of experience in DevOps, cloud infrastructure, and automation, including 5+ years in a senior or technical leadership role.
- Strong hands-on expertise with AWS cloud services and cloud-native architecture.
- Advanced experience with Terraform and Infrastructure as Code.
- Expertise in CI/CD tools such as GitHub Actions and Jenkins.
- Experience with Docker and Kubernetes, along with cloud deployment and orchestration practices.
- Strong understanding of cloud security, software architecture, and Agile development methodologies.
- Proficiency in at least one programming language, preferably Python.
- Excellent communication, problem-solving, and technical leadership skills.
Preferred Qualifications
- Experience with AWS Lambda, serverless architecture, CloudFormation, CDK, and Helm.
- Knowledge of AWS IAM, HashiCorp Vault, CyberArk, and cloud security practices.
- Familiarity with AWS database services, including Aurora and DynamoDB.
- Exposure to AI infrastructure and services such as AWS Bedrock, AgentCore, LLM gateways, and LangChain.
- Experience with AI coding assistants such as Claude Code, Codex, or Cursor and AI-driven software development practices.