Platform Engineer

The role

This Platform Engineer will lead security tooling and enablement within a global SaaS environment. You will build platforms, automation, and guardrails to help engineering teams adopt security requirements.

What you will do

• 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 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 and leading execution
• Support the ongoing health and improvement of security tooling
• Work with operational teams to support secure adoption of AI-enabled engineering tools

Required qualifications

• 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 areas such as code scanning, dynamic testing, software composition analysis, secret scanning, container or image scanning, artifact secur
• Experience with or exposure to tools such as GitHub Advanced Security, JFrog Xray, Prisma, Black Duck, Checkmarx, Dependabot, Renovate, or similar security and dependency management 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
• 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

Nice to have

• Exposure to compliance-driven environments such as SOC 2 or similar frameworks
• Experience supporting AI-assisted or internally built security automation
• Familiarity with modern software delivery environments where security tooling must balance risk reduction with engineering velocity

About the company

Precisely is a global leader in data quality, data enrichment, and location intelligence. It is an AI-first organization that helps brands make decisions with reliable data.