• Responsible for designing, implementing, and optimizing cloud infrastructure and services to support the company’s global software solutions • Leverage advanced technical expertise and cross-functional collaboration to solve complex cloud engineering challenges • Play a key role in shaping cloud practices and driving technical excellence across teams and projects • Perform all other duties and activities as required

Role Description RIVA Solutions is seeking a Google Cloud Platform (GCP) Engineer to design, implement, and support cloud-native solutions that advance NOAA NMFS modernization initiatives. The position supports cloud migration, data pipelines, infrastructure automation, containerized applications, and secure cloud operations within an Agile environment. - Assess legacy systems and develop migration strategies for Google Cloud Platform. - Design cloud landing zones, VPC architectures, and enterprise GCP configurations. - Support lift-and-shift, re-platforming, and cloud-native modernization using Anthos, GKE, and Compute Engine. - Apply cloud financial management best practices to optimize cloud utilization and cost. - Develop scalable data pipelines using BigQuery, Dataflow, Pub/Sub, and Cloud Composer. - Design cloud data lakes and data warehouse solutions supporting scientific and operational analytics. - Implement data governance, lineage, and quality controls using Google Cloud services. - Collaborate with data scientists to operationalize machine learning models using Vertex AI. - Develop CI/CD pipelines with Cloud Build, Artifact Registry, and GitHub Actions. - Automate infrastructure provisioning with Terraform and Cloud Deployment Manager. - Implement security controls supporting FISMA, FedRAMP, and NIST 800-53 compliance. - Deploy containerized applications using GKE and Cloud Run. - Develop REST APIs and event-driven services using Cloud Functions and Apigee. - Implement monitoring, logging, tracing, and participate in Agile ceremonies. Qualifications - Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience). - 3–5 years of Google Cloud Platform engineering experience. - GCP Associate Cloud Engineer certification required; Professional Cloud Architect or Professional Data Engineer preferred. - Experience with Compute Engine, GKE, Cloud Run, Cloud Storage, BigQuery, Pub/Sub, Dataflow, and Cloud Functions. - Experience with Terraform, Docker, Kubernetes, Cloud Build, GitHub Actions, and Infrastructure as Code. - Python and/or Go programming experience. - Experience designing IAM, VPCs, and secure cloud networking. - Experience supporting FedRAMP-compliant cloud environments and Agile delivery teams. - Ability to obtain and maintain a Public Trust clearance. Preferred Qualifications - Experience supporting NOAA, NMFS, or other Federal civilian agencies. - Vertex AI and machine learning pipeline implementation. - Apigee API management and Cloud Composer (Airflow). - Hybrid cloud experience with AWS and/or Azure. - Experience with Dataplex or enterprise data governance platforms. - Knowledge of FISMA, ATO processes, and NIST 800-53 controls. - Experience with marine science and geospatial data formats including NetCDF, GeoTIFF, and HDF5. Salary $130,000 Benefits - Paid Time Off / Sick Leave - Health, Dental, and Vision Coverage - Life Insurance - 401(k) Retirement Plan with Company Match - HSA/FSA Spending Accounts - Long- and Short-Term Disability - Pet Insurance - Wellness Program Initiatives - RIVA Flex (Flexible Hours and Hybrid Support, where applicable) Equal Opportunity Statement RIVA Solutions is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to any protected characteristic.

Role Description Lead enterprise Google Cloud Platform engineering, cloud migration, Kubernetes, data platforms, security, and Agile delivery supporting Federal scientific workloads. Core Responsibilities - Lead GCP migration and modernization initiatives. - Design landing zones, VPCs, and enterprise cloud architecture. - Build data pipelines using BigQuery, Dataflow, Pub/Sub, and Cloud Composer. - Develop CI/CD pipelines with Cloud Build and GitHub Actions. - Automate infrastructure using Terraform. - Deploy GKE, Cloud Run, and containerized services. - Implement FedRAMP/FISMA security controls. - Support ATO documentation and Agile delivery. Qualifications - Bachelor’s degree; Master’s preferred. - 8+ years cloud experience including 5+ years GCP. - Professional Cloud Architect or Data Engineer certification. - Experience with GKE, BigQuery, Pub/Sub, Cloud Run, Terraform, Docker, Kubernetes, Python or Go. - Experience with FISMA, FedRAMP, NIST 800-53. - Eligible for Public Trust. Preferred Qualifications - NOAA or Federal civilian experience. - Vertex AI, Apigee, Cloud Composer. - AWS/Azure hybrid cloud. - Dataplex and data governance. - NetCDF, GeoTIFF, HDF5 experience. Salary $160,000 Benefits - Health, Dental, and Vision Coverage - Life Insurance - Retirement Benefits / 401(k) with company matching - HSA/FSA Spending Accounts - Long- and Short-Term Disability - Pet Insurance - Wellness Program Initiatives - RIVA Flex - Additional Workplace Benefits Equal Opportunity Statement RIVA Solutions is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including pregnancy and related conditions, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any protected class. If you need a reasonable accommodation to search for a job opening or to submit an online application, please email accommodations@rivasolutionsinc.com. Only messages left for this purpose will be returned.

Role Description The Healthspring Medicare Technology Operations organization is looking for experienced, innovative and skilled Cloud Infrastructure Architect. The Cloud Infrastructure Architect will play a key role in delivering scalable and reliable cloud-based solutions. Working closely with diverse teams, you will play a key role in every aspect of cloud architecture, from planning and design to deployment and optimization, ensuring our cloud projects are innovative and deliver value in the ever-changing landscape of cloud technology. Qualifications - Bachelor’s degree in network engineering, Computer Science, or a related discipline. - Minimum 10 years of relevant work experience. - Proven track record of technical leadership. - Solid understanding of foundational machine learning concepts and algorithms. - Extensive experience deploying production-grade machine learning solutions. - Experience in at least one cloud platform (e.g., AWS, GCP, Azure). - Well-versed in associated machine learning services, such as Amazon SageMaker, Azure ML, and Databricks. - Hands-on experience of 4 - 6 years with Python, Django, FastAPI. - Experience of 2-4 years in deploying infrastructure as code tools (e.g., Azure Bicep or Terraform). - Hands-on experience in Machine Learning, Data Engineering, DevOps, and MLOps. - Experience with Azure DevOps for CI/CD, unit testing, and AGILE development. - Exposure working with ML teams and deploying models in domains such as convex optimization, statistical models, time-series models, and Reinforcement Learning/DRL. - Experience developing and deploying monitoring tools (e.g., Elastic search, Grafana). Requirements - Offer technical leadership on high-impact projects, ensuring they meet quality standards and are aligned with the organization's objectives. - Lead the development, deployment, and management of ML models into production, ensuring seamless integration with existing systems and monitoring model performance. - Influence and coach a distributed team of engineers and facilitate alignment and clarity across teams on goals. - Excellent communication and technical presentation skills. - Able to think strategically and tactically and to build consensus to make programs successful. Benefits - Health and wellness benefits. - 401(k) savings plan. - Pension plan. - Paid time off. - Paid parental leave. - Disability insurance. - Supplemental life insurance. - Employee assistance program. - Paid holidays. - Tuition reimbursement. - Other incentives.