Senior DevOps Engineer managing CI/CD automation, infrastructure as code, and cloud-native deployments on Azure/AWS with Kubernetes, Terraform, and observability tooling. Requires 5+ years DevOps experience and a CS bachelor's or equivalent.
162k – 191k
Remote5+ YOEDevOps / SRE
About the role
Duties and Responsibilities
Build highly interactive, single-page React apps that can scale with both increased interaction complexity and volume.
Design, implement, and maintain deployments at scale, infrastructure, reliability, and scalability; then iterate and optimize continual improvements.
Manage always-available infrastructure, deployment pipelines, and platform tooling to eliminate downtime and improve the manageability of services and systems.
Collaborate with Software Engineering teams to architect and develop infrastructure and automated deployments for cloud-native SaaS applications.
Research and integrate new technologies and innovative solutions to continuously enhance platform functionality and performance.
Partner with peers on product development to define and execute the company’s roadmap and to address critical technical challenges.
Requirements
Significant hands-on experience in Continuous Integration and Continuous Delivery (CI/CD), with at least 5 years of experience in software engineering and DevOps.
Demonstrable expertise in managing complex infrastructure for high-scale, cloud-based systems.
Thrive in a fast-moving, growth-minded startup environment and adaptable to evolving requirements.
Thorough and current understanding of technologies and frameworks involved in building robust cloud-native applications.
Strong balance of idealism and pragmatism, driving innovative solutions while ensuring practical implementation.
Skills and Competencies
Cloud Platform Mastery: Extensive experience with cloud-service providers like AWS, Azure, and/or Google Cloud. Mastery of at least one cloud provider is essential. Hands-on experience in managing cloud infrastructure as code through Terraform.
Containerization & Orchestration: Deep knowledge and hands-on experience with containerization and clustering technologies, including Docker, Kubernetes, HELM, and Istio.
CI/CD & Workflow Automation: Solid expertise in CI/CD tools such as GitHub Actions, Ansible, Jenkins, BitBucket Pipelines, Azure DevOps, and serverless architectures. Proven ability to design and implement robust workflow automation.
Streaming Technologies: Experience with streaming technologies such as Kafka, Event Hubs, and RabbitMQ.
Application Development Support: Experience in developing and supporting server-side rendered applications using Node.js and Python, including full-stack considerations for containerized applications.
Scripting: Proficiency in UI scripting languages, including Python, Bash, and PowerShell.
Monitoring & Reliability: Expert in monitoring, logging, and observability tools. Understanding of system reliability, troubleshooting, and incident response practices.
Data Presentation & Analytics: Experience in data presentation and analytics is a plus.
Familiarity with generative AI (LLMs) and ability to apply prompt engineering for DevOps automation (e.g., config generation, runbooks).
Excellent problem-solving skills and ability to blend traditional DevOps practices with next-gen AI capabilities.
Self-motivated and able to work effectively with minimal supervision.
Willingness and ability to rapidly learn new technologies and embrace diverse assignments.
Bachelor’s degree in Computer Science or a related discipline, or equivalent practical training and experience.
Benefits
Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k)
Life Insurance (Basic)
Short Term and Long Term Disability
Paid Time Off (Flexible Vacation Policy; Paid Sick & Public Holidays Observed)
Training & Development Reimbursement
Hybrid Work Environment
Peer-to-peer bonus program
Company/department outings and events
Stock Option Plan
Office On-Premises Amenities; gym, restaurant tenant discount, Padel Nine
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