BlackRock · 3 weeks ago
Vice President, Cloud Managed Services Engineer
New York, NY
Full-time
Hybrid
Senior Level, Lead/Staff
$162K/yr - $215K/yr
8+ years expBlackRock is a leading financial company that empowers investors to enhance their financial well-being. They are seeking a Senior Engineer to join their Platform Engineering Cloud Managed Services team, focusing on designing and managing multi-cloud Platform-as-a-Service solutions while driving innovation in cloud automation and AI integration.
Asset ManagementCrowdfundingFinancial ServicesFinTechReal Estate Investment
Responsibilities
Design & Deploy Multi-Cloud Services: Architect, implement, and manage platform services across AWS, Azure, and GCP, with a focus on PaaS components like object storage and database services. Ensure solutions are scalable, highly available, and cost-efficient while maintaining cross-cloud consistency
Infrastructure Automation: Develop and maintain automation scripts and frameworks using Python and Infrastructure as Code (IaC) tools (such as Infrastructure as Code (IaC) tools for provisioning cloud resources., CloudFormation). Build CI/CD pipelines to provision and update cloud resources reliably and repeatably
API Design & Data Modeling: Design and maintain robust APIs and underlying data models that enable seamless integration of platform services for mass adoption and scalability. Develop well-documented API endpoints (e.g. RESTful services) to allow internal teams and customers to easily consume platform features. Define and optimize data schemas to ensure consistency, performance, and adaptability as platform requirements evolve
Agentic AI Implementation: Integrate AI-driven automation into cloud operations – for example, implementing agentic AI systems that can monitor environments, make decisions, and take action with minimal human intervention (e.g. auto-remediation bots, intelligent scaling). Leverage these autonomous agents to reduce manual effort and improve platform resilience
Cloud Architecture & Security: Design and review cloud architectures to ensure secure, robust, and compliant solutions across multiple cloud providers. Apply best-practice cloud architecture frameworks to meet security and governance requirements (e.g. identity and access management, network segmentation, data encryption)
Performance Optimization & Monitoring: Identify bottlenecks and implement optimizations (e.g. tuning databases or storage configurations) based on performance and reliability metrics. Utilize cloud monitoring tools and AIOps techniques to predict and prevent issues
Cross-Team Collaboration: Work closely with product engineering, core infrastructure, and security teams to understand requirements and integrate cloud services smoothly. Mentor junior engineers and share cloud best practices within the team. Coordinate with vendors and cloud provider support as needed to resolve complex issues
Innovation & Continuous Improvement: Stay up-to-date with emerging cloud technologies and services (including new PaaS offerings and AI tools). Evaluate and introduce new tools or practices (e.g. containerization, serverless, advanced analytics) that could enhance our managed platform. Drive continuous improvement in deployment processes, reliability engineering, and cost optimization
Qualification
Required
8+ years of hands-on experience in platform engineering or cloud infrastructure roles, with at least 5 years focused on AWS, Azure, and/or GCP environments
Proven track record deploying and supporting production workloads on multiple cloud platforms
Deep knowledge of PaaS services across major hyperscalers
This includes object storage systems (e.g. S3, Azure Blob, GCP Cloud Storage) and database technologies (relational and NoSQL managed databases) on each platform
Able to design cloud-agnostic solutions leveraging the best managed services from each provider
Strong programming and scripting ability, particularly in Python, to automate tasks and integrate systems
Expertise in Infrastructure-as-Code tools such as Infrastructure as Code (IaC) tools for provisioning cloud resources
Experience building fully automated infrastructure pipelines (CI/CD) for cloud resource provisioning and configuration
Solid understanding of cloud architectural principles and design patterns for scalability, resilience, security, and cost optimization
Capable of designing end-to-end solutions that meet business requirements while following cloud best practices (e.g. well-architected framework)
Familiar with Compute products (VMs, Cloud-Native distributed containerized microservice orchestration, functions) as well as networking concepts (CDN, load balancing)
Experience implementing or working with AI-powered automation in infrastructure/cloud operations
This could include projects with agentic AI – systems that can autonomously analyze conditions and execute actions
Comfortable leveraging machine learning or AI tools to enhance monitoring, alerting, and self-healing of cloud services
Excellent troubleshooting skills across complex, distributed systems
Ability to analyze incidents in cloud environments and drive them to resolution
Strong communication skills to document designs and explain technical concepts to both technical and non-technical stakeholders
A collaborative mindset to work effectively within a diverse team
Preferred
Prior experience in a Managed Services or enterprise cloud team, managing deployments at scale across multiple regions or accounts
Familiarity with ITIL or SRE (Site Reliability Engineering) principles for operating mission-critical services
Background in DevOps practices and tools beyond IaC – e.g. configuration management (Automation tools for configuration management and deployment, Chef) and containerization/orchestration (Open Container Initiative (OCI) container packaging and runtime, Cloud-Native distributed containerized microservice orchestration)
Experience deploying and running Cloud-Native distributed containerized microservice orchestration-based applications or using container services on AWS/Azure/GCP is a plus
Strong awareness of cloud security best practices and regulatory compliance (e.g. identity management, principle of least privilege, SOC2, GDPR)
Experience implementing security controls or working with cloud security services (AWS IAM, Azure AD, Key Vault, etc.) is beneficial
Broader exposure to artificial intelligence or machine learning frameworks that complement agentic AI efforts
For example, familiarity with LLMs or AI APIs, monitoring tools with AI capabilities, or data analytics platforms in the cloud
Demonstrated ability to lead technical projects or initiatives
While this is a hands-on role, an ideal candidate can guide junior engineers, champion best practices, and take ownership of complex deliverables
Strong organizational skills and the ability to work independently on strategic tasks are valued
Benefits
Annual discretionary bonus
Healthcare
Leave benefits
Retirement benefits
Strong retirement plan
Tuition reimbursement
Support for working parents
Flexible Time Off (FTO)
Company
BlackRock
BlackRock is an investment company that offers its services to institutions, intermediaries, foundations, and individual investors.
10001+ employees
H1B Sponsorship
BlackRock has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (18)
2024 (34)
2023 (8)
2022 (37)
2021 (31)
2020 (27)
Funding
Current Stage
Public CompanyTotal Funding
$6.59BKey Investors
Ariel Yehezkel
2025-06-20Post Ipo Equity· $0.02M
2025-03-27Post Ipo Debt· $1.08B
2024-07-17Post Ipo Debt· $2.5B
Leadership Team
Andrew Leba
Vice President & Legal Counsel
Mike Strug
Vice President
Recent News
Crowdfund Insider
2026-01-09
caixinglobal.com
2026-01-09
Company data provided by crunchbase