Director, Site Reliability Engineer | Senior Engineering Team Director

Role Overview:
We’re seeking a Site Reliability Engineering (SRE) Lead to design, build, andmaintainresilient, high-scale systems supporting BlackRock’s Private Markets platform. In this hands-on leadership role,you’llapply deep engineeringexpertiseto 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 efficiencyto 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 whereappropriate)

• 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,leveragingmodern 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 aculture carrierandleader, passing onSREknowledgeand best practices to theengineeringteam

• 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

• Additionalcore 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,Engineeringor a related discipline with 10+ years of experience

• Experience leading high performing engineering/SRE teams, witha track recordof driving continuous improvement through automation and AI-enabled operations

• Demonstrated ability torepresentengineering/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 forhighly available, performant full stack applications with a “Student of Technology” attitude

• Experience with relationaldatabaseand NoSQL Database (e.g.Redis,Apache Cassandra)