Role Description We are looking for a highly experienced Senior Cloud Engineer to join our dynamic and growing engineering team. You will be responsible for designing, implementing, and maintaining secure and scalable cloud infrastructure, ensuring high availability, performance, and cost-efficiency. This is a remote-first role, but candidates must be living in Germany and possess at least B1-level proficiency in German for internal communication and documentation. Key Responsibilities: - Design, develop, and manage cloud infrastructure (AWS, Azure, or GCP). - Lead cloud migration and modernization initiatives. - Automate infrastructure provisioning and deployments using IaC tools such as Terraform, Ansible, or CloudFormation. - Ensure system reliability, performance, and scalability through architecture best practices and monitoring. - Work closely with development and DevOps teams to support CI/CD and containerized workloads (Docker, Kubernetes). - Maintain and enforce cloud security policies, IAM configurations, and compliance standards (e.g., GDPR). - Monitor infrastructure health using tools like Prometheus, Grafana, ELK, or cloud-native solutions. - Troubleshoot production issues and lead root cause analysis. - Contribute to infrastructure documentation and internal knowledge sharing. Qualifications - Minimum 5 years of hands-on experience in cloud engineering or DevOps roles. - Proficient in AWS, Azure, or Google Cloud Platform (GCP). - Strong experience with Infrastructure as Code (e.g., Terraform, CloudFormation). - Solid background in Docker and Kubernetes. - Strong scripting skills (e.g., Bash, Python). - Familiarity with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps. - Understanding of cloud security and compliance. - Residing in Germany with valid work authorization. - German language proficiency at B1 level or higher. - Fluent in English (spoken and written). Preferred Qualifications - Certifications in AWS, Azure, or GCP (e.g., Solutions Architect, DevOps Engineer). - Experience in hybrid or multi-cloud environments. - Knowledge of SRE practices or experience in platform engineering. Benefits - Remote work flexibility (within Germany). - Competitive salary and benefits. - Learning and certification support. - Dynamic, inclusive, and collaborative work environment. - Opportunities to work with modern cloud-native stacks. - Flexible working hours and paid time off. Note Applications will only be considered from candidates currently living in Germany with B1-level or higher German language skills.

• Understand client requirements and lead the creation of robust data platforms leveraging Data Lakehouse architectures, serving as the primary subject matter expert for the Azure data ecosystem (Microsoft Fabric, Azure SQL, and Power BI). • Design and implement scalable data models, ETL/ELT pipelines, and analytics layers using modern cloud ecosystems. • Architect Microsoft Fabric reporting solutions, establishing medallion layering, managing capacity planning, ensuring freshness governance, and configuring CDC/mirroring from Azure SQL into Fabric. • Enforce strict data-layer segregation ensuring PII is excluded by construction, maintaining multi-tenant isolation within the analytics layer, and strictly adhering to 10+ year regulated data retention policies. • Lead complex migration efforts off legacy systems (e.g., AirTable, Smartsheet) to Microsoft Fabric, effectively managing mid-program form and rule drift, and establishing reliable, per-client export channels. • Lead end-to-end analytics projects — from requirement gathering to deployment. • Mentor junior team members, perform code reviews, and ensure adherence to quality standards. • Work closely with cross-functional teams (engineering, product, business) to align data strategy with business goals. • Develop and optimize complex SQL queries, Power BI semantic models, dashboards, and reports (transitioning from legacy LookML/BigQuery paradigms). • Troubleshoot performance bottlenecks, data inconsistencies, and integration challenges. • Stay up to date with advancements in the analytics and cloud data ecosystem. • Drive innovation in reporting and analytics capabilities. • Recommend and implement new tools, frameworks, and practices to enhance the data platform. • Define best practices, coding standards, and governance for analytics projects. • Monitor data systems performance and implement optimization strategies. • Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures. • Build and oversee AI-ready data pipelines, focused on feeding scrubbed, segmented data to assistive AI and integrating GenAI into analytics and data products. • Drive adoption of AI-assisted data engineering across the team: copilots for SQL/transformation/pipeline code, plus automated testing and documentation. • Define governance and quality standards for data consumed by LLMs and agents.

Role Description We are seeking an experienced OCI Cloud Engineer to architect, deploy, and operate large-scale, secure, and resilient cloud environments on Oracle’s next-generation public cloud. In this role you will own the full OCI engineering lifecycle, from landing-zone design and infrastructure-as-code, through workload migration and ongoing operations, including cost optimization and observability. The ideal candidate will combine deep technical knowledge of OCI services with strong DevOps and automation fundamentals, and will partner with database, application, and security teams to deliver well-engineered cloud platforms that support mission-critical Oracle and non-Oracle workloads. Key Responsibilities - Architect, deploy, and operate enterprise-grade OCI landing zones, compartments, and tenancy structures aligned with internal governance and compliance standards. - Design and implement OCI networking topologies, including VCNs, subnets, gateways, FastConnect, IPSec VPN, and DRG-based hub-and-spoke architectures. - Build and maintain OCI infrastructure-as-code using Terraform and OCI Resource Manager, with version control, peer review, and automated validation. - Implement IAM policies, federation with corporate identity providers, and strong RBAC patterns using OCI Identity Domains. - Design and operate OCI compute (VMs, bare-metal, OKE for Kubernetes) and storage services (Object, Block, File, Archive) optimized for workload patterns. - Operate OCI database services, including Autonomous Database, Exadata Cloud, MySQL HeatWave, and Base Database, in close partnership with DBA teams. - Build CI/CD pipelines on OCI DevOps service or external platforms (Jenkins, GitHub Actions) for both infrastructure and applications. - Implement observability using OCI Monitoring, Logging, APM, and integrations with third-party observability stacks. - Drive ongoing cost optimization through right-sizing, lifecycle management, and architectural simplification. - Design disaster-recovery and business-continuity solutions across OCI regions and availability domains. - Strengthen security posture using OCI Cloud Guard, Security Zones, Vault, and Data Safe, and lead remediation of findings. - Advise application development teams on OCI-native design patterns and best practices. - Develop automation tooling in Python, Bash, and Terraform to reduce operational toil. - Mentor junior engineers and contribute to internal cloud communities of practice. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of cloud engineering experience, with strong hands-on time on OCI. - Production-level experience with infrastructure-as-code using Terraform. - Solid experience with OCI compute, networking, storage, identity, and database services. - Hands-on experience with Oracle Container Engine for Kubernetes (OKE). - Experience with CI/CD pipelines for cloud workloads. - Strong scripting skills in Python and Bash. - Deep understanding of cloud security, IAM, and compliance requirements. - Experience with observability tooling and incident response. - Excellent troubleshooting, communication, and documentation skills. Preferred Qualifications - Oracle Cloud Infrastructure Architect Professional certification. - Experience operating Oracle Exadata Cloud or Autonomous Database at scale. - Exposure to multi-cloud architectures spanning OCI and AWS/Azure/GCP. - Familiarity with FinOps practices on OCI. - Experience operating regulated workloads on OCI. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com .

• Develop software applications according to business needs • Involved in all phases of SDLC based on Agile framework • Plan, develop and implement projects or features of large-scale projects • Develop solutions to improve performance and scalability of systems • Assisting in Production issues • Share knowledge about your area of expertise, best practices and provide functional support