Lead DevOps Engineer

Infosys
Raleigh, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Raleigh, United States of America

Tech stack

Amazon Web Services (AWS)
Bash
Cloud Engineering
DevOps
Identity and Access Management
Python
Key Management
Octopus Deploy
Site Reliability Engineering Practices
Ansible
Prometheus
Datadog
CircleCI
Data Logging
Grafana
Gitlab
Cloudformation
Containerization
Gitlab-ci
Git Flow
Kubernetes
Performance Monitor
Cloudwatch
Terraform
Splunk
Docker
Jenkins
Static Application Security Testing
Microservices
Dynamic Application Security Testing

Job description

We are seeking a hands-on Lead DevOps Engineer to architect, build, and operate our AWS cloudinfrastructure and CI/CD pipelines. This role combines technical leadership with deep individualcontribution, requiring someone who leads by example while actively designing, implementing, andimproving DevOps capabilities.

You will work closely with engineering, QA, and platform teams to ensure our systems are highlyavailable, secure, scalable, and cost-efficient, while mentoring a team of DevOps engineers and driving modern DevOps and SRE practices across the organization.

Key Responsibilities

Technical Leadership & Ownership

Act as a hands-on technical resource, setting the bar for DevOps engineering excellence

Mentor and guide DevOps engineers through design reviews, automation standards, and operationalbest practices

Define and enforce DevOps standards, patterns, and tooling across teams

Partner with application, QA, and architecture teams to align DevOps strategy with business anddelivery goals

AWS Infrastructure & Automation

Design, implement, and operate scalable, secure, and resilient AWS infrastructure

Own Infrastructure as Code using Terraform and/or AWS CloudFormation

Build and optimize CI/CD pipelines using tools such as Jenkins, GitLab CI, CircleCI, or AWS-nativeservices

Automate environment provisioning, deployments, and operational workflows

Containers & Platform Engineering

Design and support containerized workloads using Docker and Kubernetes (EKS)

Enable best practices for microservices deployment, scaling, and resilience on AWS

Support platform capabilities such as blue/green and canary deployments

Monitoring, Reliability & Operations

Implement proactive monitoring, alerting, and dashboards using tools like Prometheus, Grafana,Datadog, and CloudWatch

Own logging and observability solutions (oTel, Splunk etc.)

Lead root cause analysis, incident response, and continuous reliability improvements

Participate in and help mature on-call and operational support processes

Security, Compliance & Cost Optimization

Enforce AWS security best practices, including IAM design, secrets management, and vulnerabilityscanning

Well experienced with all kind of scanning SCA, DAST, SAST and WIZ.IO

Drive AWS cost optimization through right-sizing, automation, and cost-management tooling

Requirements

Do you have experience in Solution architecture design?, 5+ years of experience in DevOps, SRE, or Cloud Engineering with strong hands-on delivery

Proven experience leading or acting as a technical lead for DevOps or SRE teams

Deep expertise with AWS services and cloud architecture patterns

Strong proficiency in Infrastructure as Code (Terraform, CloudFormation, Ansible)

Extensive experience with Docker and Kubernetes (EKS preferred)

Solid background building and maintaining CI/CD pipelines and Git-based workflows

Strong scripting and automation skills in Python, Bash, or similar languages

Excellent communication skills with the ability to influence across engineering teams

Preferred Qualifications

AWS certifications (DevOps Engineer, Solutions Architect, or equivalent)

Experience with GitOps tools such as Argo CD, Gitlab

Familiarity with micro-services and advanced Kubernetes networking

Experience operating production systems at scale with a focus on reliability and cost efficiency

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