DevOps Engineer, Engineering Team Manager, Vice President
About this role
Team Overview
The Service Management Operations Group is responsible for monitoring, supporting, and administering production environments for all BlackRock businesses (including subsidiaries and BlackRock Solutions) acting as a first responder relative to troubleshooting, problem resolution, and escalation.
Collaborating with skilled professionals across the globe and managing a broad range of technologies and applications, the Operations Group delivers service quality and excellence through teamwork, innovating operational processes, and being part of the One BlackRock culture.
Key Responsibilities
- Own reliability outcomes
- Deliver measurable improvements in
availability, latency, recovery time, and incident recurrence
for critical workloads.
- Establish and mature
SRE practices
: SLIs/SLOs, error budgets, and reliability governance.
- Build AI‑enabled, signal‑driven operations
- Replace alert volume with
AI‑correlated signals
that prioritize true business impact and early risk indicators.
- Implement and improve detection, correlation, and routing workflows integrated into operational processes and tooling.
- Engineer self‑healing systems (automation-first)
- Design, implement, and govern
automated remediation
for known failure patterns (with safe guardrails and audit trails).
- Maintain structured human oversight for novel scenarios and ensure continuous learning feeds back into automation.
- Embed reliability and operability into engineering lifecycle
- Partner with Engineering/Architecture/Product to build
operability, observability, resilience-by-design
into services.
- Drive root-cause elimination and reduce recurrence through systemic fixes, not repetitive recovery.
- Change-aware resilience + risk posture
- Own change-aware operations: use AI risk signals to anticipate failures based on historical data, dependency graphs, and weak points.
- Support production readiness: capacity planning, disaster recovery exercises, and disciplined change governance.
- Evidence, auditability, and resilience expectations
- Ensure AI-driven systems are
observable, explainable, and auditable
, meeting operational and regulatory expectations.
- Develop and lead high performing global team, fostering strong ownership, technical depth, and a culture of accountability and continuous improvement.
Qualifications / Competencies
- Bachelor's degree in computer science /engineering (or equivalent practical experience).
•
10+ years
across Service Management, DevOps, SRE, Product Engineering, and/or large-scale production operations.
- Strong hands-on experience with observability/monitoring/telemetry platforms, focused on actionable insights and reliability outcomes.
- Proven experience transitioning environments from reactive support to proactive,
signal-driven / AI-assisted operations.
- Designed/tuned/governed
automation and AIOps workflows,
enabling automated remediation while retaining structured human oversight for exceptions.
- Experience implementing change-aware operations, drift detection/correction, and data-driven reliability governance to reduce incident recurrence.
- AI-assisted capacity forecasting and proactive scaling for performance predictability and cost efficiency.
- End-to-end operational fluency: telemetry → ITSM integration → automated execution.
- Experience sponsoring or governing AI-assisted/autonomous operational platforms.
Our benefits
Our hybrid work model
guidance
Not included in the source posting: what you'll do.
Skills
Who can apply
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