About the Role:
We are seeking a DevOps Engineer (Level I) with a minimum of 3+ years of industry experience. This is a hybrid position that requires working onsite three days per week. This is a W2 role, and candidates must be residents of California.
Position Description:
As a DevOps Engineer, you will support the design, implementation, and operation of DevOps capabilities that enable reliable, secure, and scalable software delivery. You will work closely with senior DevOps engineers, developers, and platform teams to automate processes, maintain cloud infrastructure, and respond to operational issues while continuing to build your technical skills.
How you will make an impact:
- DevOps & CI/CD Support: Assist with building, maintaining, and improving CI/CD pipelines to support automated build, test, and deployment processes.
- Infrastructure as Code (IaC): Support infrastructure management using tools such as Terraform or Ansible under the guidance of senior engineers.
- Cloud & Platform Operations: Help maintain cloud environments (primarily AWS), including basic networking, tagging, scaling, and configuration best practices.
- Monitoring & Incident Support: Assist with monitoring, alerting, and troubleshooting in lower environments and production, escalating issues as needed
- Security & Compliance Awareness: Follow established security, DevSecOps, and compliance standards and collaborate with security teams when needed.
- Service Management: Participate in incident, change, and release processes aligned with ITIL practices.
- Documentation: Create and maintain clear documentation for processes, configurations, and operational procedures.
- Continuous Improvement: Learn and apply DevOps best practices while contributing ideas for improving reliability, automation, and efficiency.
The experience you will bring:
- Minimum of 3+ years of experience in a DevOps Engineering role.
- Experience with automated software build, test, and deployment.
- Experience with agile (e.g. SAFe Agile) and DevOps concepts & methodologies.
- Experience with AI/MLOps infrastructure enablement.
- Strong Expertise with networking, port & server configurations, AWS tagging, and scaling.
- Service Management experience (i.e. Incident, Release).
- Strong expertise in CI/CD pipelines, automation, Python, and IaC.
- Proficiency with DevOps tools (e.g. Docker, Kubernetes, Jenkins, Git, and Ansible).
- Advanced knowledge of ADO, JIRA, and a CI/CD framework.
- Excellent problem-solving and troubleshooting skills.
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
- Experience with monitoring/observability platforms (e.g. Grafana, Splunk).
- Serve as an escalation point for tier 1 & 2 for complex support issues.
- Works independently, receives minimal guidance.
- Acts as a resource for colleagues with less experience.
- Strong communication and leadership abilities.
- May lead functional teams or projects.
What will make you stand out (Preferred):
- Relevant certifications (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator) are a plus.
- Strong expertise in AWS environments, Terraform, and MuleSoft.
Education:
- Bachelor's degree - Science, Technology, Engineering or Mathematics (STEM).
