Security Engineer - Software Security Enablement

AI in this role

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Our Team:
Bloomberg is building the world’s most trusted information network for financial professionals. We protect Bloomberg. We partner with internal departments to ensure the confidentiality, integrity, and availability of Bloomberg systems and the data we process. We aim to ensure that our clients see us as a trusted partner.
Our Chief Information Security Office (CISO) owns the technical aspects of this mission by ensuring Bloomberg products, systems, networks and commercial applications are built and maintained with security in mind.
What's the role?
We are seeking a Security Engineer to help ensure that Bloomberg software is built securely. You will be responsible for building and maintaining automated security capabilities across the software development lifecycle. You will also engage with engineering partners to provide remediation guidance and enhance security testing to deliver high-fidelity, actionable results.
As a member of the Security Enablement team, you will help provide automated security testing solutions for Bloomberg, including SAST, DAST, SCA, Secret searching and LLM-based assessments. Our team’s goal is to create preventative security capabilities that integrate into development pipelines and help detect issues early in the software development lifecycle.
An engineering skillset is required for this role. You will be responsible for prototyping new tools, integrating security testing tools and capabilities into the software development lifecycle, and developing custom security capabilities to deliver scalable testing solutions to our engineering teams. This role will routinely challenge your technical background and critical thinking. You will be expected to collaborate with different stakeholders in a fast-paced environment across many technology stacks and services.
We'll trust you to:

Partner with engineering stakeholders to understand Bloomberg’s development landscape and security needs. Develop automated security solutions that integrate into development pipelines.
Maintain and enhance existing security automation processes and security capabilities.
Understand and research technical details of core technology stacks and develop or enhance custom code analysis queries.
Communicate vulnerability landscape and work on mitigations with stakeholders across the business.
Actively monitor the latest news and trends in automated security capabilities, secure development, and AI-assisted security workflows.
Develop and enhance operational run books
Perform ad-hoc vulnerability discovery, including code review and static analysis for key engineering teams, applications and services.
Build or adopt new security capabilities to address issues at scale, such as Software Composition Analysis, Secret searching, and other automated security testing techniques.
Use LLMs and AI-assisted workflows as part of security assessments, vulnerability research, secure code review, developer enablement, and security automation.
Explore, evaluate, and build automation using modern LLM tooling and integration patterns, including custom skills, MCP servers, agentic workflows, retrieval-augmented workflows, and integrations with development and security tooling.

You'll need to have:

A strong core engineering background with a proven track record.
3+ years of experience in software development.
Strong programming experience, with working knowledge of at least one of: C/C++, Python, JavaScript/TypeScript.
Knowledge and experience with DevOps and software used in development pipelines (e.g. Github, Jenkins).
Working knowledge of build systems, package managers, and development tooling (such as cmake, npm, maven, gradle etc).
A core understanding of common security vulnerabilities, such as OWASP Top 10 issues and language-specific vulnerabilities.
Experience using, evaluating, or building with LLMs or AI-assisted tooling in technical workflows.
Ability to combine technical knowledge with an understanding of core aspects of an information security program.
Motivation to keep up with latest trends and techniques in the information security community.
Excellent written and verbal communication skills.

We'd love to see (not required, but nice to have!):

Experience or familiarity with running, maintaining, and customizing static analysis security testing tools such as CodeQL and Semgrep.
Broad familiarity with programming language ecosystems and frameworks, particularly C++, JavaScript/TypeScript, Python, Java as well as well as modern systems and infrastructure languages such as Go and Rust
Experience using LLMs or AI-assisted tools for security assessments, vulnerability research, secure code review, developer enablement, or security automation.
Familiarity with LLM automation concepts and tooling, such as custom skills, MCP servers, agentic workflows, retrieval-augmented workflows, or integrations with development and security tooling.
Knowledge of open source software component management, Software Composition Analysis, and related security tools.
Knowledge of core concepts in public cloud providers such as AWS, GCP, and Azure. Familiarity with container orchestration technologies such as Kubernetes and Docker, and cloud deployment orchestration.
Technical information security certifications, such as CISSP, CSSLP, or SANS certifications.
Prior experience integrating security testing into DevOps pipelines.

If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

How we rate this

Security Engineer - Software Security Enablement at Bloomberg rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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