Mid-Level Google Cloud Platform (GCP) Engineer at RIVA Solutions, Inc.

About the role

What will you do at RIVA Solutions, Inc.?

Position: Mid-Level Google Cloud Platform (GCP) Engineer

Location: Remote

Terms: Full Time

Clearance: Public Trust (Tier 2+) Eligible

Travel: 0–10%

RESULTS. INNOVATION. VALUES.

ACCOUNTABILITY.

That’s RIVA.

We’re a mission-driven IT services company and systems integrator supporting digital transformation and modernization for Federal government agencies. Since 2009, we’ve partnered with our customers to solve complex challenges through smart, practical innovation to deliver real outcomes where they matter most. Our teams are made up of industry-leading experts who are passionate about doing great work and making a difference.

We don’t just develop solutions—we support efforts that strengthen communities and serve the public good.

RIVA’s culture is built on four core values: Results, Innovation, Values, and Accountability. They guide how we work, how we collaborate, and how we measure success. Our employee-first approach is rooted in trust, ownership, and meaningful work.

By investing in our people and fostering a flexible, supportive environment, you will have the opportunity to grow your skills, contribute ideas, and make an impact from day one—all while building a career that lasts.

Program Overview

The Google Cloud Platform (GCP) Engineer supports NOAA National Marine Fisheries Service (NMFS) cloud modernization efforts by implementing secure cloud infrastructure, data engineering solutions, DevSecOps practices, and cloud-native application services on Google Cloud Platform.

Position Overview

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.

Core Responsibilities

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.

Minimum 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
RIVA 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)
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 any protected characteristic.

Which skills does this role require?

Google Cloud PlatformCI/CDVPC ArchitectureGCPAnthosArtifact RegistryCloud MigrationData LakeData WarehouseDevSecOpsREST APIs

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.