DevOps Engineer
Nexylum Global Llc
McLean, VA, United States
4 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Microsoft Azure
Backup Devices
Bash Shell
Ubuntu (Operating System)
Cloud Computing
Cloud Engineering
Continuous Integration
Linux
DevOps
Disaster Recovery
Distributed Systems
+41 more
Domain Name System (DNS)
Github
Hypertext Transfer Protocols (HTTP)
Identity and Access Management
Virtual Private Networks (VPN)
Python (Programming Language)
Key Management
Linux Servers
Octopus Deploy
Role-Based Access Control
Red Hat Enterprise Linux
Reliability Engineering
Site Reliability Engineering Practices
Ansible
Prometheus
Shell Script
TCP/IP
Google Cloud
Load Balancing
Autoscaling
System Availability
Delivery Pipeline
Grafana
Reliability of Systems
Gitlab
Git
Cloudformation
Containerization
Gitlab-ci
Kubernetes
Infrastructure Automation Frameworks
Bitbucket
Cloudwatch
Terraform
Software Version Control
Devsecops
Docker
Elk Stack
Jenkins
Vulnerability Analysis
Microservices
Job description
We are looking for an experienced Senior DevOps Engineer with 7+ years of experience in DevOps, Cloud Infrastructure, CI/CD automation, containerization, infrastructure as code, and production support. The candidate will be responsible for building scalable infrastructure, automating deployment pipelines, improving system reliability, and implementing DevOps best practices., * Design, implement, and maintain CI/CD pipelines using Jenkins, GitLab CI/CD, or GitHub Actions.
- Manage cloud infrastructure on AWS, Azure, or Google Cloud Platform.
- Build and manage Docker containers and Kubernetes clusters.
- Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or Ansible.
- Develop automation scripts using Python, Bash, or Shell scripting.
- Manage monitoring and logging solutions using Prometheus, Grafana, ELK Stack, or CloudWatch.
- Implement security best practices, IAM policies, secrets management, and vulnerability scanning.
- Manage Linux servers, networking, load balancers, DNS, and SSL/TLS configurations.
- Troubleshoot production issues and perform root cause analysis.
- Optimize cloud costs, system performance, scalability, and availability.
- Implement backup, disaster recovery, and high-availability solutions.
- Collaborate with development, QA, security, and infrastructure teams.
- Mentor junior engineers and contribute to DevOps standards and documentation.
Required Technical Skills
- Cloud Platforms: AWS / Azure / Google Cloud Platform
- CI/CD Tools: Jenkins, GitLab CI/CD, GitHub Actions
- Containers: Docker, Kubernetes, Helm
- Infrastructure as Code: Terraform, Ansible, CloudFormation
- Scripting: Python, Bash, Shell
- Operating Systems: Linux, Ubuntu, RHEL
- Version Control: Git, GitHub, GitLab, Bitbucket
- Monitoring: Prometheus, Grafana, ELK Stack, CloudWatch
- Networking: TCP/IP, DNS, HTTP/HTTPS, VPN, Load Balancing
- Security: IAM, RBAC, secrets management, DevSecOps
- Cloud Operations: Autoscaling, high availability, disaster recovery, cost optimization
Requirements
- 7+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering.
- Strong hands-on experience in CI/CD pipeline design and implementation.
- Proven experience managing production-grade Kubernetes environments.
- Strong knowledge of cloud infrastructure and Infrastructure as Code.
- Experience in production troubleshooting, incident management, and root cause analysis.
- Strong automation, analytical, and problem-solving skills.
- Experience working in Agile/Scrum environments.
Preferred Skills
- Experience with microservices and distributed systems.
- Knowledge of GitOps tools such as Argo CD or Flux.
- Experience with service meshes and cloud-native architecture.
- Familiarity with DevSecOps practices and compliance requirements.
- Experience with SRE practices, SLIs, SLOs, and error budgets.
Key Expectations
- Build reliable, secure, and scalable infrastructure.
- Improve deployment frequency and reduce deployment failures.
- Automate repetitive operational tasks.
- Maintain production availability and performance.
- Lead technical initiatives and mentor team members.
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