Platform Engineer

Precisely

. Lead security tooling across application security, dependency and supply chain security, artifact and container security, cloud security posture, and policy-driven workflows .

Posted 10/31/2026full-timeRemote • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in security engineering and tooling, with strong programming skills in Go, Python, or Bash. Capable of leading technical initiatives and improving developer experience through effective security practices and automation.

Highest-signal resume keywords

Security EngineeringProgramming Skills in Go, Python, BashExperience with GitHub Advanced Security, JFrog Xray, PrismaVulnerability Management and Security ControlsAI-Assisted Security Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Security ToolingCode ScanningDynamic TestingSoftware Composition AnalysisContainer SecurityCloud Security Posture ManagementVulnerability Detection AutomationDependency ManagementInfrastructure as CodePolicy Enforcement

Soft Skills

CollaborationCommunicationTechnical Initiative Leadership

Tools & Technologies

GitHub Advanced SecurityJFrog XrayPrismaBlack DuckCheckmarxDependabotRenovateGitHub CopilotCursorAI-Assisted Tools

Industry Keywords

SOC 2Compliance-Driven EnvironmentsSecurity WorkflowsDeveloper WorkflowsAI Tools Security Considerations

Tech Stack

Tools & technologies

CloudKubernetesPythonGo

About the role

Key responsibilities & impact

Lead security tooling across application security, dependency and supply chain security, artifact and container security, cloud security posture, and policy-driven workflows
Build, integrate, and operate security platforms such as GitHub Advanced Security, JFrog Xray, Prisma, Black Duck, and Checkmarx
Design automation for vulnerability detection, dependency hygiene, patch planning, remediation tracking, and governed security workflows
Partner with Security and Engineering to turn policies and best practices into practical controls, delivery pipeline guardrails, and developer-friendly workflows
Improve the developer experience of security tooling by reducing noise and improving remediation clarity
Drive security-focused initiatives and OKR efforts by defining technical approaches, breaking down work, and leading execution
Support the ongoing health and improvement of security tooling, including internally built or AI-assisted security automation
Work with operational teams to support secure adoption of AI-enabled engineering tools and build controls around their use

Requirements

What you’ll need

2+ years of experience in security engineering, platform engineering, development operations, site reliability engineering, or software engineering in production environments
Strong programming or scripting skills in Go, Python, Bash, or similar languages
Hands-on experience with security tooling and practices across code scanning, dynamic testing, software composition analysis, secret scanning, container or image scanning, artifact security, cloud security posture management, and policy enforcement
Experience with GitHub Advanced Security, JFrog Xray, Prisma, Black Duck, Checkmarx, Dependabot, Renovate, or similar platforms
Strong understanding of vulnerability management, dependency management, and security controls within software delivery and developer workflows
Familiarity with Kubernetes, containers, cloud platforms, Git-based workflows, and infrastructure as code concepts
Ability to lead technical initiatives, run proofs of concept, and deliver solutions from ambiguous requirements
Strong collaboration and communication skills, with the ability to translate security needs into practical engineering solutions
Experience using AI-assisted tools to improve engineering productivity, security workflows, and developer experience
Familiarity with AI-assisted coding tools such as GitHub Copilot or Cursor
Experience applying AI to security use cases such as log analysis, threat investigation, remediation support, or security documentation
Familiarity with large language model APIs, agent-based workflows, or internally built AI tooling
Understanding of security considerations for AI tools, including data leakage, prompt injection, shadow AI, and enterprise AI policies
Exposure to compliance-driven environments such as SOC 2 or similar frameworks (preferred)
Experience supporting AI-assisted or internally built security automation (preferred)
Familiarity with modern software delivery environments where security tooling balances risk reduction with engineering velocity (preferred)