DevOps Engineer (Senior) ID38561

• 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;
• Upper-Intermediate English level.

• 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.

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! 🙂