Senior Platform Engineer
Precisely US Jobs3 months ago
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 platforms including 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.
- Translate security policies and best practices into delivery pipeline guardrails, practical controls, and developer-friendly workflows.
- Improve the developer experience of security tooling by reducing noise and improving remediation clarity.
- Define technical approaches, break down work, and lead security-focused initiatives, proofs of concept, and OKR execution.
- Support the health and improvement of internally built or AI-assisted security automation and secure adoption of AI-enabled engineering tools.
Requirements
- At least 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 code scanning, dynamic testing, software composition analysis, secret scanning, container or image scanning, artifact security, cloud security posture management, and policy enforcement.
- Experience with or exposure to 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.
- Experience using AI-assisted tools, including GitHub Copilot or Cursor, for engineering productivity, security workflows, code review, documentation, or test generation.
- Experience applying AI to security use cases and 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 policy compliance.
- Exposure to compliance-driven environments such as SOC 2 or similar frameworks is preferred.
- Strong collaboration and communication skills with the ability to translate security needs into practical engineering solutions.
Benefits
- 100% remote anywhere in the United States.
- Work-from-anywhere culture within a distributed company with a presence in 30 countries and 20 offices across more than five continents.
- Opportunities for career development, learning, growth, and community building.
- Precisely promotes diversity and operates according to values of Openness, Determination, Individuality, and Collaboration.
Tech Stack
About Precisely US Jobs
Precisely builds enterprise data integrity software and data products, as well as consulting, to integrate, govern, and enrich data for analytics, AI, and operations. The company sells subscriptions and data licensing to large organizations in complex, regulated environments, including more than 12,000 customers and 95 of the Fortune 100. Headquartered in Burlington, Massachusetts, Precisely is privately held and backed by Clearlake Capital.