Director, Site Reliability Engineer | Senior Engineering Team Director

Role Overview: 
We’re seeking a Site Reliability Engineering (SRE) Lead to design, build, and maintain resilient, high-scale systems supporting BlackRock’s Private Markets platform. In this hands-on leadership role, you’ll apply deep engineering expertise to solve complex challenges, guide a global team, shape technical direction, and communicate effectively with senior stakeholders—ensuring the reliability of mission-critical systems that power private market investment workflows and decision-making. You will drive the adoption of AI-driven solutions to accelerate incident detection and triage, reduce toil, improve forecasting and capacity planning, and strengthen end-to-end observability and resilience. 

Role Responsibilities 

• Take ownership of project priorities, deadlines and deliverables using Agile methodologies, with clear outcomes around reliability automation and AI-enabled operations 

• Understand and refine business and functional requirements, translating them into SLOs/SLIs and AI-assisted observability and support capabilities 

• Hands on approach to getting work done—this role requires a “roll your sleeves up” mentality, including building and operationalizing reliability tooling and automation that measurably reduces toil and improves stability 

• Be a leader with vision and a partner in brainstorming solutions for team productivity and efficiency to improve engineering effectiveness 

• Drive priority setting of the engineering teams, balancing foundational reliability work with delivery of new product features 

• Improve Engineering culture by encouraging continuous focus on reliability across the entire application lifecycle, and by adopting AI-enabled SRE practices (e.g., intelligent alerting, automated diagnosis, and self-healing where appropriate) 

• Proactive participant in architectural and design decisions, including AI-ready telemetry, data quality, and model integration patterns for operational analytics 

• Design and implement end-to-end monitoring solutions for application and infrastructure components, leveraging modern observability platforms plus AI/ML techniques for anomaly detection, correlation, and alert noise reduction 

• Drive the engineering of capacity management and demand forecasting solutions, including predictive analytics/ML approaches where they add measurable value 

• Act as a culture carrier and leader, passing on SRE knowledge and best practices to the engineering team 

• Drive detailed root cause investigations for production incidents with rigorous focus on issue avoidance, using AI-assisted correlation/analysis to accelerate time-to-insight 

• Create/coordinate retros for significant incidents, ensuring learnings are captured in automated/AI-assisted runbooks and embedded into prevention mechanisms 

• Additional core engineering functions, such as adding custom telemetry metrics/logs/traces to the code base of in-scope applications to enable AI/ML-driven operational insights 

• Anticipate new opportunities to continuously evolve the resiliency profile of scoped applications and infrastructure 

Skills/Qualifications 

Must Have 

• B.S. / M.S. degree in Computer Science, Engineering or a related discipline with 10+ years of experience 

• Experience leading high performing engineering/SRE teams, with a track record of driving continuous improvement through automation and AI-enabled operations 

• Demonstrated ability to represent engineering/SRE priorities, status, and risk to senior leadership stakeholders with clear, executive-ready communication 

• Hands-on experience building or operating AI-assisted capabilities (AIOps, ML-based anomaly detection, or GenAI workflows) in an engineering/production environment 

• A passion for providing engineering support for highly available, performant full stack applications with a “Student of Technology” attitude 

• Experience with relational database and NoSQL Database (e.g. Redis, Apache Cassandra)