Senior DevOps Engineer (Remote)

Job Title : Senior DevOps EngineerLocation : RemoteExperience Level : 5+ YearsRole Overview :We are a funded AI startup seeking a Senior DevOps Engineer to design, implement, and maintain a secure, scalable, and efficient infrastructure. In this role, you will focus on automating operations, optimizing deployment processes, and enabling engineering teams to deliver high-quality products seamlessly.Key Responsibilities:Infrastructure Scalability & Reliability :Architect and manage cloud infrastructure on AWS, GCP, or Azure for high availability, reliability, and cost-efficiency.Implement container orchestration using Kubernetes or Docker Compose.Utilize Infrastructure as Code (IaC) tools like Pulumi or Terraform to manage and configure infrastructure.Deployment Automation :Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.Implement deployment strategies such as canary or blue-green deployments, and create rollback mechanisms to ensure seamless updates.Monitoring & Observability :Leverage tools like OpenTelemetry, Grafana, and Datadog to monitor system health and performance.Establish centralized logging systems and create real-time dashboards for actionable insights.Security & Compliance :Securely manage secrets using tools like HashiCorp Vault or Doppler.Conduct static code analysis with tools such as SonarQube or Snyk to ensure compliance with security standards.Collaboration & Team Enablement :Mentor and guide team members on DevOps best practices and workflows.Document infrastructure setups, incident runbooks, and troubleshooting workflows to enhance team efficiency.Required Skills :Expertise in managing cloud platforms like AWS, GCP, or Azure.In-depth knowledge of Kubernetes, Docker, and IaC tools like Terraform or Pulumi.Advanced scripting capabilities in Python or Bash.Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or similar.Experience with observability tools like Grafana, OpenTelemetry, and Datadog.Strong troubleshooting skills for debugging production systems and optimizing performance.Preferred Qualifications :Experience in scaling AI or ML-based applications.Familiarity with distributed systems and microservices architecture.Understanding of agile methodologies and DevSecOps practices.Certifications in AWS, Azure, or Kubernetes.What We Offer :Opportunity to work in a fast-paced AI startup environment.Flexible remote work culture.Competitive salary and equity options.Professional growth through challenging projects and learning opportunities.