Mid-Level Security Engineer

Company Overview

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, employees have the opportunity to grow their skills, contribute ideas, and make an impact from day one, all while supporting missions that matter.

Position Overview

This role performs hands‑on security analysis, vulnerability testing, and DevSecOps integration work within the RIVA GitLab CI/CD software factory and the USPTO’s approximately 4,000‑container Kubernetes environment. The Security Engineer operates under the guidance of senior security personnel and is a primary contributor to the AI Artifact Security objective (SOO 4.1.3), embedding automated security gates into the pipeline and ensuring findings flow through the ServiceNow SMP remediation workflow.

Core Responsibilities

• Operate and maintain Wiz Code within the USPTO GitLab CI/CD software factory: configure container image scanning and infrastructure‑as‑code (IaC) template analysis gates, triage findings, and ensure no code reaches production on a contractor‑only path—every enforcement change ships through USPTO’s GitLab review gates.
• Run Snyk Agent Scan on AI‑native artifact types—Markdown prompt files, cursor rules, GitHub Copilot instruction files, and Model Context Protocol (MCP) configuration files—within the GitLab pipeline; triage scan results and route confirmed findings into the ServiceNow SMP remediation queue with appropriate severity tags.
• Maintain and tune Kubernetes security posture across the USPTO container estate: configure admission controls, monitor runtime alerts from Wiz Defend, and escalate container‑level findings through the defined remediation workflow.
• Correlate DSPM findings with Axonius asset context and Tenable vulnerability data to prioritize remediation backlogs; maintain and update the risk‑scored source inventory in coordination with the DSPM SME.
• Monitor XSIAM and QRadar SIEM telemetry for security events correlated to DSPM findings; triage alerts, update the POA&M, and contribute structured findings to the three‑tier evidence chain (operational, compliance, executive reporting).
• Support Netskope FedRAMP High CASB administration: assist with browser‑path and SaaS‑path DLP policy tuning, investigate policy violations, and document exception requests through the exception register process.
• Perform security audits, risk analysis, application‑level vulnerability testing, and security code reviews for the DSPM implementation and integrated AI platforms including AWS Bedrock and UGAP API service broker endpoints.
• Support ATO (Authority to Operate) documentation, system security plan (SSP) maintenance, and FISMA reporting; contribute security evidence to the compliance reporting and dashboard package.
• Participate in Agile sprint ceremonies; contribute to security user stories, acceptance criteria, and definition‑of‑done security checks within the two‑week sprint cadence.

Minimum Qualifications

• Bachelor’s degree and 5 years of relevant experience, or Master’s degree and 3 years of relevant experience in cybersecurity, information assurance, or a related technical field.
• Active CISSP certification (required per USPTO BOSS LCAT qualification).
• Hands‑on experience with GitLab CI/CD pipeline security, including SAST/DAST tooling, container image scanning, and IaC security analysis within a DevSecOps software factory.
• Working knowledge of Kubernetes security: admission controllers, runtime scanning, container vulnerability management, and RBAC in a multi‑cloud environment.
• Familiarity with SIEM platforms (XSIAM, QRadar, or equivalent) and ITSM remediation workflows (ServiceNow or equivalent) for security finding triage and POA&M tracking.
• Knowledge of NIST SP 800‑53 security controls, FedRAMP requirements, and federal ATO processes; ability to produce structured security evidence for compliance reporting.
• Scripting and automation skills for security engineering: Python or Bash, Git‑based workflows, REST API interaction, GitLab CI YAML pipeline configuration, and the ability to parse and query JSON‑formatted findings for triage and reporting.

Preferred Qualifications

• Prior experience with Wiz (Code, Defend, or DSPM), Snyk Agent Scan, or Netskope CASB in a federal or FedRAMP‑authorized environment.
• Familiarity with Axonius asset management and Tenable vulnerability management as inputs to security risk scoring.
• Experience securing AI serving infrastructure—AWS Bedrock, SageMaker, or API gateway brokering patterns—and understanding of AI artifact security risks (prompt injection, MCP configuration exposure).
• Additional certifications such as CKS (Certified Kubernetes Security Specialist), AWS Security Specialty, CEH, OSCP, or CompTIA Security+.
• Prior federal civilian agency experience on a cybersecurity, data governance, or DevSecOps program.
• Familiarity with policy‑as‑code and Kubernetes admission control tooling (OPA/Gatekeeper or Kyverno), secrets detection tooling, and SBOM/dependency analysis in CI pipelines.

Pay

Pay range $135,000 – $150,000 USD. The salary reflects an estimated range informed by multiple