About AgileEngine AgileEngine is an award-winning software development company that creates innovative solutions for Fortune 500 brands and trailblazing startups across various industries. Our people-first culture has earned us multiple Best Place to Work awards. We're looking for a talented DevOps Engineer (Senior) to join our team. If you're passionate about growing with a dynamic organization and working with like-minded professionals, we'd love to meet you. Key Responsibilities - Design, deploy, and operate scalable and robust Kubernetes environments supporting data and analytics workloads; - Buid, automate, and maintain complex data pipelines using Argo Workflows for orchestration, scheduling, and workflow automation; - Lead or support migration of source code repositories and CI/CD pipelines to GitLab or other Git-based platforms, automating and optimizing testing, deployment, and delivery using GitOps principles; - Develop and manage infrastructure with Terraform and related tools, implementing infrastructure automation and repeatable deployments in AWS and Kubernetes; - Support high-availability S3-based data lake environments and associated data tooling, ensuring robust monitoring, scalability, and security; - Instrument, monitor, and create actionable alerts and dashboards for Kubernetes clusters, Argo workflows, and data platforms to quickly surface and resolve operational issues; - Participate in incident, problem, and change management processes, proactively driving improvements in reliability KPIs (MTTD/MTTR/availability); - Collaborate cross-functionally with Data Engineering, SRE, Product, and Business teams to deliver resilient solutions and support key initiatives like Git migration and cloud modernization; - Apply best practices in networking (Layer 4-7), firewalls, VPNs, IAM, and data encryption across the cloud/data stack; - Engage in capacity planning, forecasting, and performance tuning for large-scale cloud and Kubernetes-based workloads. Requirements - Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience; - 5+ years of production experience operating and managing Kubernetes clusters (preferably in AWS, EKS, or similar environments); - Strong hands-on experience with AWS cloud services; - Deep hands-on experience with Argo Workflows, including developing, deploying, and troubleshooting complex pipelines; - Experience with Git, GitLab, and CI/CD, including leading or supporting migration projects and the adoption of GitOps practices; - Effective at developing infrastructure as code with Terraform and related automation tools; - Practical experience in automating data workflows and orchestration in a cloud-native environment; - Proficient in SQL and basic scripting (Python or similar); - Solid understanding of networking (Layer 4-7), security, and IAM in cloud environments; - Proficient in Linux-based systems administration (RedHat/CentOS/Ubuntu/Amazon Linux); - Strong written and verbal communication skills; - Ability to collaborate in cross-functional environments; - Track record delivering reliable, secure, and scalable data platforms in rapidly changing environments; - Experience working with S3-based data lakes or similar large, cloud-native data repositories; - Upper-Intermediate English level. Nice to Have - Exposure to regulated or healthcare environments; - Familiarity with data modeling, analytics/BI platforms, or DBT; - Experience leading software/tooling migrations (e.g., Bitbucket to GitLab), or managing large-scale CI/CD consolidations. Benefits - Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities. - Exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. - Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.