DevOps Engineer
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Job Description
DevOps Engineer supporting AI-powered platforms for a software development company. Focusing on CI/CD pipelines and cloud infrastructure automation to ensure scalability and performance.
Responsibilities:
- Design, implement, and manage CI/CD pipelines using GitHub Actions, GitOps, GCP-native tools, Azure DevOps, and Jenkins.
- Develop, automate, and maintain infrastructure as code across multi-cloud environments (GCP, Azure; Kubernetes, Cloud Run, AKS, GKE).
- Build, deploy, and operate containerized services, ensuring health, security, scalability, and high availability.
- Integrate tools, platforms, and APIs to streamline operations across AI/ML and virtual agent ecosystems.
- Develop and maintain automation scripts and tooling using Python, Shell, and Java/Groovy where appropriate.
- Monitor system and application health, implement proactive alerting, and continuously improve reliability and performance.
- Troubleshoot infrastructure, networking, and deployment issues across cloud services and application stacks.
- Collaborate with engineering and product teams to optimize release processes and platform reliability.
- Promote DevOps best practices and maintain clear documentation for system architecture, operations, and troubleshooting.
Requirements:
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 3+ years experience as a DevOps Engineer, Site Reliability Engineer, or similar role in cloud-based environments.
- Strong hands-on experience with modern CI/CD pipelines and automation practices.
- Proficiency with infrastructure as code, containerization, and orchestration technologies (Terraform, Docker, Kubernetes).
- Solid programming and scripting skills in Python and at least one additional language (Shell, Java, or Groovy).
- Hands-on experience with cloud platforms, particularly Google Cloud Platform and/or Azure.
- Strong understanding of cloud networking, security best practices, and scalable system design.
- Experience building and supporting automated deployment, monitoring, and alerting solutions.
- Ability to work effectively in a fast-paced, collaborative engineering environment.
- Preferred: Experience supporting AI/ML platforms, MLOps workflows, or conversational / virtual agent systems.
- Familiarity with multi-cloud architectures and additional cloud providers (AWS, Azure, GCP).
- Exposure to security automation, compliance, or reliability engineering best practices.
Benefits:
- Health insurance
- Paid holidays
- Flexible time off
- 401k retirement savings plan and company match with pre-tax and ROTH options
- Dental insurance
- Vision insurance
- Employer paid disability insurance
- Life insurance and AD&D insurance
- Employee assistance program
- Flexible spending accounts
- Health savings account with employer contributions
- Accident, critical illness, hospital indemnity, and legal assistance
- Adoption assistance
- Domestic partner coverage
- Tickets to local sporting events
- Teambuilding events
- Holiday and celebration parties
- Leadership training
- License to Udemy online training courses
- Growth opportunities
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