Principal Engineer DevOps

About the company Lexitas is a high growth company. The Company is built on a belief that having strong personal relationships with our clients, and providing reliable, accurate and professional services is the driving force of our success. Lexitas offers an array of services including local and national court reporting, medical record retrieval, process service, registered agent services and legal talent outsourcing. Our reach is truly national as well as international. Lexitas is a MNC Company that has set up a subsidiary in Chennai, India – Lexitas India Pvt. Ltd. This Indian company will be the Lexitas Global Capability Center, helping build a world class IT development team, and over time serve as a Shared Services hub for several of the corporate functions.

For More Information - https://www.lexitaslegal.com

This is a Full-Time Job located in Chennai, India. Summary We are seeking an experienced Principal Engineer (DevOps) with 15+ years of IT experience to lead the design, implementation, and optimization of enterprise-scale DevOps and Cloud solutions. The ideal candidate will have deep expertise in AWS Cloud, Terraform, CI/CD pipelines, Infrastructure as Code (IaC), automation, containerization, and cloud-native architecture. This role will be responsible for driving DevOps transformation, establishing best practices, and ensuring scalable, secure, and highly available cloud platforms.

Essential Functions:

• Design and implement enterprise-wide DevOps architecture and cloud-native solutions on AWS.
• Define and drive Infrastructure as Code (IaC) strategies using Terraform.
• Architect and optimize CI/CD pipelines for application and infrastructure deployments.
• Lead cloud migration and modernization initiatives.
• Automate infrastructure provisioning, configuration management, and deployment processes.
• Establish DevSecOps practices, security controls, and compliance standards across platforms.
• Design high availability, disaster recovery, scalability, and performance strategies.
• Collaborate with development, infrastructure, security, and business teams to streamline software delivery.
• Implement monitoring, logging, and observability solutions for proactive issue management.
• Define governance, standards, and best practices for DevOps and cloud operations.
• Mentor engineering teams and provide technical leadership for DevOps transformation programs.
• Evaluate emerging cloud and DevOps technologies and recommend adoption strategies.

Competencies, Skills and Abilities: 15+ years of IT experience with at least 5+ years in DevOps and Cloud Architecture roles. Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or related field. Experience in enterprise-scale cloud transformation and modernization programs. Experience in large-scale digital transformation projects.

Cloud Platforms

• Strong expertise in Amazon Web Services (AWS)
• Hands-on experience with: EC2, VPC, IAM, S3, RDS, Lambda, EKS/ECS, CloudWatch, Route 53, API Gateway, AWS Security Services

Infrastructure as Code

• Expert-level experience in Terraform
• Module development and reusable infrastructure frameworks
• State management and environment orchestration

CI/CD & Automation

• Extensive experience in designing and implementing CI/CD pipelines using:
• Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, AWS CodePipeline
• Build and deployment automation practices

Containerization & Orchestration

• Docker, Kubernetes (EKS preferred), Helm Charts, Container Security

Monitoring & Observability

• Prometheus, Grafana, ELK Stack, Splunk

Scripting & Programming

• Python, Shell Scripting, PowerShell (preferred)

Security & Compliance

• DevSecOps implementation, Security automation, Vulnerability management
• IAM governance, Compliance frameworks and audit readiness

AI Enablement

• Demonstrated experience leveraging AI-assisted development and operations tools to improve software delivery, operational efficiency, system reliability, and engineering productivity.
• Ability to evaluate, implement, and govern AI-enabled DevOps capabilities across the software development lifecycle, including planning, coding, testing, deployment, monitoring, and incident management. Knowledge of microservices and serverless architectures. Experience with Agile, Scrum, and SAFe methodologies. Strong stakeholder management and leadership skills.