About The Role

Company Overview: 10Pearls is a global, purpose-driven AI-Native digital engineering partner helping businesses re-imagine, ‎digitalize, and accelerate. As an end-to-end digital technology partner, 10Pearls helps businesses create future-proof, ‎transformative ‎digital products that leverage emerging technologies. ‎10Pearls' clients ‎include Global 2000 enterprises, high growth mid-size ‎businesses, and some of the most exciting ‎start-ups from industries like healthcare, fintech, ‎energy, education, ‎real estate, retail, and hi-tech. ‎Headquartered in the Washington DC metro area, 10Pearls has product engineering and ‎software development centers in North America, Latin America, Europe, and South Asia. To learn more, visit <https://10pearls.com> . Role We are seeking a highly skilled Senior Site Reliability Engineer (BI & Data Ecosystems) to join our Cloud Infrastructure & Data Engineering team. The ideal candidate will have strong hands-on experience with GCP and AWS , Kubernetes/GKE, Terraform, data platforms, and BI infrastructure. This role will focus on building and maintaining reliable, secure, scalable cloud infrastructure supporting data and analytics ecosystems. Responsibilities Manage and optimize GCP and AWS infrastructure , including GKE, BigQuery, Cloud Storage, Dataflow, Cloud Composer/Airflow, Cloud Run, Compute Engine, Cloud SQL, EC2, and S3. Operate and maintain production GKE/Kubernetes environments , including networking, security, scaling, and upgrades. Build and maintain infrastructure using Terraform and Infrastructure-as-Code best practices. Design and improve CI/CD pipelines using GitLab CI and/or GitHub Actions. Support Data Lakehouse architecture, data platforms, governance, and analytics workloads . Maintain and optimize BI platforms such as Qlik Sense, Tableau, and Power BI. Implement monitoring, logging, alerting, and observability using Grafana and Cloud Operations Suite . Ensure strong IAM, encryption, network security, and access-control practices. Develop automation using Python, Bash, or Go . Participate in incident response, troubleshooting, performance optimization, and reliability improvements. Requirements 5+ years of experience in SRE, DevOps, Cloud Infrastructure, or Platform Engineering. Deep hands-on experience with GCP and AWS . Strong Kubernetes/GKE experience, including networking and security. Experience with BigQuery, Cloud Storage, Dataflow, Cloud Composer/Airflow, and Cloud SQL . Strong knowledge of Data Lakehouse architecture and governance . Hands-on experience with Terraform . Experience with GitLab CI and/or GitHub Actions . Experience with Grafana and cloud monitoring/observability . Experience supporting Qlik Sense, Tableau, or Power BI infrastructure. Strong understanding of IAM, encryption, and network security . Proficiency in Python, Bash, or Go .