AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI / ML, and our people-first culture has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! WHAT YOU WILL DO Kubernetes Operations : Design, deploy, and operate scalable and robust Kubernetes environments (EKS or similar) supporting data and analytics workloads;Argo Workflows : Build, automate, and maintain complex data pipelines using Argo Workflows for orchestration, scheduling, and workflow automation;GitLab / Git Migration Projects : Lead or support migration of source code repositories and CI / CD pipelines to GitLab or other Git-based platforms. Automate and optimize testing, deployment, and delivery using GitOps principles;Infrastructure as Code : Develop and manage infrastructure with Terraform and related tools, implementing infrastructure automation and repeatable deployments in AWS and Kubernetes;Data Platform Reliability : Support high-availability S3-based data lake environments and associated data tooling, ensuring robust monitoring, scalability, and security;Observability : Instrument, monitor, and create actionable alerts and dashboards for Kubernetes clusters, Argo workflows, and data platforms to quickly surface and resolve operational issues;Incident & Problem Management : Participate in incident, problem, and change management processes, proactively drive improvements in reliability KPIs (MTTD / MTTR / availability);Collaboration : Work cross-functionally with Data Engineering, SRE, Product, and Business teams to deliver resilient solutions and support key initiatives like Git migration and cloud modernization;Security & Networking : Apply best practices in networking (Layer 4-7), firewalls, VPNs, IAM, and data encryption across the cloud / data stack;Capacity & Performance : Engage in capacity planning, forecasting, and performance tuning for large-scale cloud and Kubernetes-based workloads.MUST HAVES 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);Sound 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;NICE TO HAVES 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.THE BENEFITS OF JOINING US 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.A selection of 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.Your application doesn't end here! To unlock the next steps, check your email and complete your registration on our Applicant Site . The incomplete registration results in the termination of your process. #J-18808-Ljbffr