About the Role
In this role as a DevOps Engineer, you will be a key player in ensuring the seamless scalability of our systems, facilitating frictionless deployments, and identifying incidents before they impact users. This position plays a vital part in enhancing the operational culture, where automation, reliability, and proactive problem solving are the focus, driving outcomes that matter to our engineering teams delivering fast-paced, AI-driven products.
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What You’ll Do
- Build, maintain, and improve CI/CD pipelines to support reliable and efficient software delivery.
- Deploy and manage containerized applications using Docker and Kubernetes.
- Support cloud infrastructure management and automation using Infrastructure as Code tools such as Terraform.
- Implement and maintain monitoring, logging, and alerting solutions using tools such as Grafana.
- Automate repetitive operational tasks and support development teams with infrastructure and deployment needs.
- Troubleshoot deployment, application, and infrastructure issues, identifying root causes and implementing solutions.
- Collaborate with engineers to improve system performance, reliability, and release processes.
- Follow security best practices across deployment pipelines, applications, and infrastructure.
- Participate in incident investigation and resolution, escalating complex issues when necessary.
- Contribute to documentation and continuous improvement of infrastructure workflows and operational processes.
Day-to-Day You’ll:
- Deploy applications and support routine operations within Kubernetes environments.
- Build, maintain, and troubleshoot CI/CD pipelines for new and existing services.
- Monitor system health, investigate alerts, and resolve common deployment and infrastructure issues.
- Support developers with application deployments, environment configurations, and infrastructure requests.
- Write and maintain scripts to automate repetitive operational tasks.
- Assist with infrastructure provisioning and configuration management.
- Collaborate with senior engineers to investigate complex incidents and improve system reliability.
- Continuously identify opportunities to improve automation, observability, and operational efficiency.
Success Looks Like:
- Reliable CI/CD pipelines with fewer deployment failures and smoother releases.
- Successful deployment and operation of containerized applications in Kubernetes.
- Faster identification and resolution of common infrastructure and deployment issues.
- Reduced manual operational effort through automation.
- Improved monitoring, logging, and visibility into application health.
- Effective collaboration with engineering teams and clear documentation of operational processes.
First 90 Days
- 0–30 Days: Understand the infrastructure, architecture, deployment workflows, tools, and operational practices. Become familiar with existing cloud environments and Kubernetes deployments.
- 30–60 Days: Contribute to CI/CD pipeline improvements, support routine deployments, troubleshoot common issues, and take ownership of smaller infrastructure tasks with guidance from senior engineers.
- 60–90 Days: Successfully onboard 2–3 services onto the existing Kubernetes environment, ensuring appropriate CI/CD pipelines, monitoring, and health checks, collaborating with senior engineers where needed.
Requirements
Who You Are
- Experienced: 5–7 years of hands-on experience in DevOps, Cloud Infrastructure, Platform Engineering, or a related role.
- Hands-On: Practical experience with CI/CD pipelines, Docker, Kubernetes, and cloud infrastructure.
- Proactive Problem Solver: Ability to investigate technical issues, identify root causes, and implement solutions while knowing when to escalate complex problems.
- Collaborative: Works closely with developers and other engineers to support deployments and improve infrastructure reliability.
- Curious & Growth-Oriented: Eager to learn, improve existing systems, and develop expertise in cloud infrastructure, automation, and observability.
- Quality-Focused: Understands the importance of reliable deployments, infrastructure security, monitoring, and operational documentation.
Technical Skills You’ll Bring
- CI/CD: Experience building, maintaining, or improving CI/CD pipelines using tools such as GitHub Actions, GitLab CI/CD, Jenkins, or similar.
- Containers & Orchestration: Practical experience with Docker and knowledge of Kubernetes, including application deployments and configurations.
- Infrastructure as Code: Familiarity with Terraform, CloudFormation, or similar tools for managing infrastructure.
- Cloud Platforms: Experience with at least one major cloud provider, such as AWS or GCP.
- Scripting & Automation: Ability to write automation scripts using Bash or Python.
- Monitoring & Observability: Familiarity with tools such as Grafana, Prometheus, or similar for monitoring and logging.
- Configuration Management: Basic knowledge of tools such as Ansible, Puppet, or Chef.
- Linux & Networking: Working knowledge of Linux systems, networking fundamentals, and troubleshooting connectivity issues.
- Version Control: Experience using Git and collaborative software development workflows.
- Experience in a SaaS, product-based, or AI-driven environment with exposure to production Kubernetes.
Nice-to-Haves
- Experience optimizing AI deployment workflows & MLOps practices.
- Experience optimizing GPU usage for AI workload.
