**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; - **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. **About us** If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! **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.