at BlackRock
Asset ManagementPosted 12 days ago
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**Service Management DevOps Engineer Analyst** Lead modernizing service management via automation, AI and DevOps, driving reliability and operational efficiency. Collaborate with cross-functional teams to enhance incident management, change processes, and observability on BlackRock's Aladdin platform. Utilize Microsoft Power Platform, support regulatory compliance, and learn large-scale production systems. Requires bachelor's in CS/Engineering, 2-4 years of DevOps/software engineering experience, Python scripting, Linux/Unix skills, and understanding of monitoring and observability. More details: <a href="https://blackrock.wd1.myworkdayjobs.com/BlackRock_Professional/job/Singapore-Singapore/Technology-Incident-Management--Analyst_R261695-1">Apply Now</a>
- Compensation
- Not specified SGD
- City
- Singapore
- Country
- Singapore
Currency: $ (SGD)
Full Job Description
Job description
About this role
About BlackRock
BlackRocks purpose is to help more and more people experience financial well-being. As a fiduciary to investors and a leading provider of financial technology, BlackRock delivers investment management, risk management, and technology solutions to clients globally. Our culture is centered on innovation, partnership, and accountability.
About Aladdin
Aladdin is BlackRocks end-to-end technology platform that integrates investment management, risk, trading, operations, and data into a unified ecosystem. It empowers institutions globally to make informed decisions, scale efficiently, and strengthen operational resilience.
Role Overview
We are seeking an Analyst, DevOps Engineer to join the Service Management team. This role is ideal for an engineer with a strong foundation in automation, software development, and AI driven development.
In this role, you will help modernize service management through engineering, automation, and AI-enabled capabilities. Partnering across operations and engineering teams, you will enhance platform reliability, reduce manual effort, and improve observability and operational governance.
Team Overview
The Service Management team within Mission Control is responsible forproduction stability, incident response, change execution, and operational governance across the Aladdin platform.
The team operates at the intersection of engineering and operations to:
Drive automation and operational efficiency
Improve service resilience and observability
Ensure controlled and compliant change execution
Enable scalable, AI-assisted service operations
This role offers exposure to large-scale production systems, modern DevOps practices, and AI-enabled operations, Microsoft Power Platform in a critical enterprise environment.
Key Responsibilities
Automation & Engineering
Develop and maintain automation, tooling, and services to improve service management processes
Build scripts and applications for monitoring, alert handling, recovery actions, and reporting
Leverage APIs, infrastructure-as-code, and system integrations to enable scalable and repeatable workflows
Observability & Reliability
Improve monitoring, alert quality, and system observability across applications and platform services
Analyze recurring issues and operational trends to identify reliability and automation opportunities
Partner with operations and engineering teams to enhance service supportability and production readiness
AI & Innovation
Contribute to AI-enabled solutions such as:
Intelligent assistants and copilots
Automated runbooks and knowledge retrieval
Incident summarization and insights
Help drive adoption of AI tools to reduce operational toil and improve productivity
Governance & Controls
Operate within established change, risk, audit, and control frameworks
Ensure automation and tooling align with enterprise security and compliance standards
Support documentation, runbooks, and operational process improvements
Qualifications
Required
Bachelors degree in Computer Science, Engineering, or related field (or equivalent experience)
24 years of experience in DevOps, software engineering, or similar field
Experience with Python or scripting for automation and system integration
Familiarity with Linux/Unix environments and distributed systems concepts
Experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse)
Understanding of monitoring and observability (metrics, logs, alerts, dashboards)
Strong analytical, problem-solving, and communication skills
Preferred
Experience with Terraform, Ansible, CI/CD pipelines, or GitOps workflows
Experience with ITSM tools such as ServiceNow
Exposure to Kubernetes, containers, or platform engineering concepts
Familiarity with cloud platforms (AWS and/or Azure)
Exposure to AI/ML concepts or generative AI applications
Knowledge of secure automation practices and enterprise controls
Experience in financial services or regulated environments
Ideal Candidate Profile
Strong engineering mindset with a service-oriented approach
Passion for automation and reducing manual operational effort
Comfortable working across engineering, operations, and governance functions
Appliesstructured thinking and accountability in a controlled environment
Curious and motivated to leverageAI and modern tooling to improve operations at scale
Our benefits
To 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 model
BlackRocks 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 candidates
At 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, weve provided guidance (opens in new window) on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their childrens educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment the one we make in our employees. Its why were dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
To learn more about BlackRock, please visit Careers.BlackRock.com (opens in new window). We also encourage you to get to know us on LinkedIn (opens in new window), Instagram (opens in new window), YouTube (opens in new window), X (opens in new window), and TikTok (opens in new window).
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
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