Platform Engineer

🔥 2 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🏗️ Platform Engineer

🚫👨‍🎓 No degree required

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👻 Ghost score 15%

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Precisely

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🏢 Enterprise

☁️ SaaS

🔐 Security

💰 Private Equity Round on 2022-04

Enterprise • SaaS • Security

Precisely is a comprehensive data integrity and data intelligence company serving enterprises worldwide. It provides a range of products focused on achieving data accuracy, consistency, and context, such as the Data Integrity Suite, location intelligence solutions, and security and event management tools. The company's solutions include data integration, data management, spatial analytics, and process automation, supporting platforms like AWS, Microsoft Azure, IBM systems, SAP, and ServiceNow. Precisely helps organizations enhance their customer engagement and decision-making processes by transforming data into strategic assets, promoting high availability, disaster recovery, and compliance with security regulations.

📋 Description

• 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

• 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)

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