Overview
Remote
On Site
Depends on Experience
Contract - W2
Skills
Amazon Web Services
Artificial Intelligence
Bash
DevOps
DevSecOps
Docker
FedRAMP
Google Cloud Platform
Grafana
Groovy
HIPAA
ISO/IEC 27001:2005
Splunk
Terraform
Unix Administration
Job Details
Title: Senior DevOps Engineer
Employment Type: W2
Experience Level: 12+ Years
Job Summary:
We are seeking a highly experienced Senior DevOps Engineer to lead our enterprise DevOps strategy, drive automation initiatives, and ensure a robust, scalable, and secure infrastructure across multiple environments. This role will involve both hands-on engineering and strategic decision-making, working closely with cross-functional teams, stakeholders, and leadership to modernize and optimize our delivery processes.
Key Responsibilities:
- Architect, implement, and optimize enterprise-grade CI/CD pipelines to support complex, multi-application deployments.
- Lead infrastructure automation initiatives using tools such as Terraform, Ansible, or CloudFormation.
- Design and manage highly available, secure, and scalable cloud environments (AWS, Azure, or Google Cloud Platform).
- Champion containerization and orchestration (Docker, Kubernetes) for microservices and distributed applications.
- Define and enforce DevOps best practices, standards, and governance policies across teams.
- Implement advanced monitoring, alerting, and performance tuning strategies using Prometheus, Grafana, ELK Stack, or Splunk.
- Collaborate with development, QA, security, and operations teams to enable DevSecOps practices.
- Mentor and guide junior DevOps engineers, fostering a culture of continuous learning and improvement.
- Drive innovation by evaluating and implementing emerging DevOps tools and methodologies.
Required Skills & Qualifications:
- Bachelor s/Master s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 12+ years of IT experience with at least 7+ years in DevOps-focused roles.
- Proven track record of designing and maintaining large-scale CI/CD pipelines.
- Strong Linux/Unix system administration and networking fundamentals.
- Expertise in scripting languages (Python, Bash, Shell, or Groovy).
- Advanced experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
- Deep understanding of infrastructure-as-code and configuration management tools (Terraform, Ansible, Chef, Puppet).
- Strong experience with Kubernetes in production environments.
- Proficiency in security practices and compliance frameworks (e.g., SOC2, ISO 27001, HIPAA, or FedRAMP).
Preferred Skills:
- Experience in hybrid cloud or multi-cloud architectures.
- Exposure to AI/ML Ops pipelines.
- Hands-on experience with service mesh technologies (Istio, Linkerd).
- Familiarity with cost optimization strategies in cloud environments.
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