Senior Platform Engineer

New
P
Precisely Software IncorporatedData Integrity
100% remote anywhere in the USFull-TimeSenior
Salary not disclosed
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Job Details

Experience
2+ years of experience
Required Skills
PythonBashKubernetesGo

Requirements

  • 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 (code scanning, dynamic testing, software composition analysis, secret scanning, container scanning).
  • Experience with tools such as GitHub Advanced Security, JFrog Xray, Prisma, Black Duck, Checkmarx, Dependabot, or Renovate.
  • Strong understanding of vulnerability management, dependency management, and security controls within software delivery workflows.
  • Familiarity with Kubernetes, containers, cloud platforms, Git-based workflows, and infrastructure as code.
  • Ability to lead technical initiatives, run proofs of concept, and deliver solutions from ambiguous requirements.
  • Experience using AI-assisted tools (e.g., GitHub Copilot, Cursor) to improve productivity and security workflows.
  • Experience applying AI to security use cases such as log analysis, threat investigation, or remediation support.
  • Understanding of security considerations for AI tools, including data leakage, prompt injection, and compliance.

Responsibilities

  • 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 tools such as GitHub Advanced Security, JFrog Xray, Prisma, Black Duck, Checkmarx, and similar platforms.
  • Design automation for vulnerability detection, dependency hygiene, patch planning, remediation tracking, and governed security workflows.
  • Partner with Security and Engineering to turn defined policies into practical controls, delivery pipeline guardrails, and developer-friendly workflows.
  • Improve the developer experience of security tooling by reducing noise, improving remediation clarity, and helping teams move faster.
  • Drive security-focused initiatives and OKR efforts by defining technical approaches and leading execution.
  • Support the ongoing health and improvement of security tooling, including AI-assisted security automation.
  • Work with operational teams to support secure adoption of AI-enabled engineering tools and build controls around their use.
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