Analyst, DevOps Engineer – Service Management Group

About BlackRock 

BlackRock’s 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 BlackRock’s 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 for production 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 

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) 

• 2–4 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 

• Applies structured thinking and accountability in a controlled environment 

• Curious and motivated to leverage AI and modern tooling to improve operations at scale