About this roleThe Aladdin Platform Engineering - Engineering Services team builds the platforms, pipelines, and developer tooling that thousands of engineers across BlackRock use every day to design, build, and ship software. Security is engineered into that path rather than inspected at the end of it: the same teams that own build systems, artifact repositories, and deployment pipelines also own the guardrails, evidence, and automated controls that make secure delivery the default.
You will lead the cybersecurity engineering function inside this group, working alongside platform engineering, product management, risk, and the firm's information security organization to protect a large, cloud-native, AI-enabled, highly regulated financial services firm.
Your role and impactAs Director for Cybersecurity Engineering, you'll set the technical strategy for how security is built into software delivery and cloud infrastructure at scale. Software supply chain integrity is your first principle: every artifact the firm ships should carry verifiable provenance, and every release should be attested - signed, traceable to its source and build environment, and admissible as evidence without anyone assembling it after the fact. You'll lead BlackRock toward that future state, moving the organization from periodic inspection of what was built to continuous, cryptographic proof of how it was built, with trust decisions made against attestations rather than assumptions.
You'll treat DevSecOps as the operating principle that makes this achievable - policy as code, automated enforcement in continuous integration and delivery pipelines, and time-boxed exceptions with audit-ready evidence generated automatically. You'll extend that same provenance and trust model to AI-assisted development and agentic workflows, where model-generated code, prompt injection, and non-human identities create new classes of exposure and demand policy-driven defense in depth.
Your responsibilitiesNo matter your role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, stay curious and adaptable as the business evolves, and take end-to-end ownership of outcomes that matter to clients. The scope of this role also includes the following responsibilities:
- Own the software supply chain security strategy end to end - source integrity, dependency and artifact provenance, software bills of materials, signing, and verifiable build attestation across the firm's technology estate
- Secure the build and release path itself, hardening build systems, artifact repositories, and deployment pipelines as high-value targets, and enforcing trust decisions at admission based on attested provenance rather than implicit trust
- Define and implement the security model for agentic and AI-assisted workflows - least-privilege identities for agents, bounded model and data access, provenance for machine-generated code, and guardrails that hold as autonomy increases
- Embed automated controls across the delivery lifecycle, including threat modeling, static and dynamic analysis, software composition analysis, and container and infrastructure-as-code scanning, with clear rules for what blocks versus warns
- Partner with information security, risk, and audit to translate regulatory and control requirements into engineered, continuously evidenced guardrails, and report progress, coverage, and residual risk to senior technology and business leaders
- Build, lead, and mentor a team of security engineers, and grow a network of security champions embedded in delivery teams
You have...- 10+ years in security engineering, platform engineering, or application security, including experience leading teams in a large, regulated enterprise
- Deep, hands-on understanding of software supply chain security - build provenance and attestation, artifact signing and verification, dependency risk, and secure software development lifecycle frameworks
- Strong command of DevSecOps practice, including CI/CD pipeline security, policy as code, and automated control enforcement at scale
- Strong cloud-native security expertise across containers, orchestration, serverless, microservices, and APIs, with fluency in identity, zero trust, and secure architecture patterns
- Practical experience securing AI and machine learning workloads or agentic systems, or a demonstrated ability to reason about emerging AI-related risk in software delivery
- A track record of influencing engineering organizations without owning them - building adoption of guardrails developers actually want to use - with excellent communication skills across executive, regulatory, and engineering audiences
- Bachelor's degree in a related technical field or equivalent practical experience; industry certifications such as CISSP, CCSP.
For New York, NY Only the salary range for this position is USD$215,000.00 - USD$275,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
Our benefitsTo help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work modelBlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Guidance on AI use for candidatesAt BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided
guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
