About this role
Your
Team
The Production Engineering team within Aladdin Engineering delivers the secure, resilient, and scalable platform capabilities that power critical engineering workflows across the Aladdin ecosystem. We are at the forefront of modern platform operations, combining automation, observability, and applied artificial intelligence to improve how engineers build, operate, and support technology at scale. As AI becomes increasingly
embedded
in
engineering
practices,
our
team
is
shaping
the
next
generation
of
operational
excellence
through
intelligent
tooling,
self-service
experiences,
and
secure
platform
services
that
enhance
reliability,
accelerate
innovation,
and
improve
developer
productivity.
Your
Role
and
Impact
As an AI Platform Reliability Engineer, you will help define the future of AI-enabled platform operations within Aladdin. You will design and operate highly reliable services, develop intelligent automation, and build AI-assisted capabilities that make complex systems easier to manage and support. Working at the intersection of platform engineering, secrets management, observability, and applied artificial intelligence, you will deliver solutions that reduce operational
overhead,
improve
system
resilience,
accelerate
incident
response,
and
empower
engineers
with
faster
access
to
knowledge
and
insights.
Your
work
will
directly
influence
platform
reliability
and
the
engineering
experience
across
a
broad
technology
landscape.
Your
Responsibilities
In
every
role
at
BlackRock,
you'll
be
expected
to
apply
sound
judgement
and
critical
thinking
to
solve
complex
problems,
adapt
as
the
business
evolves,
and
embrace
the
curiosity
to
explore
new
approaches
and
technologies
while
challenging
outcomes.
The
scope
of
this
role
also
includes
the
following
responsibilities:
Design,
build,
and
operate
reliable
platform
services
through
automation,
infrastructure-as-code,
continuous
delivery
practices,
Python-based
workflow
automation,
and
secure
secrets-management
lifecycle
capabilities.
Develop
and
operate
AI-assisted
platform
capabilities,
including
retrieval-augmented
knowledge
solutions,
operational
diagnostics,
engineer
self-service
experiences,
and
the
supporting
data
ingestion
and
retrieval
pipelines.
Monitor
and
analyze
system
health,
performance,
and
capacity
using
observability
tools
and
perform
root-cause
analysis
for
platform
incidents.
Participate
in
on-call
rotations
supporting
production
systems
and
drive
continuous
improvement
through
automation
and
AI-driven
reduction
of
operational
toil.
Support
disaster
recovery
planning
and
execution,
application
onboarding,
platform
upgrades,
and
change
management
for
services
using
centralized
secrets
and
secure
configuration
capabilities.
Ensure
automation
and
AI-enabled
solutions
are
secure,
explainable,
production-ready,
and
aligned
with
enterprise
and
regulated-environment
requirements.
Your
Experience
Bachelor’s
degree
(or
equivalent)
in
Computer
Science,
Engineering,
Mathematics,
or
a
related
field.
Strong
Python
development
experience
for
automation,
systems
analysis,
and
integration
with
AI
tooling.
Experience
with
cloud
platforms,
including
Amazon
Web
Services
(AWS)
and
Microsoft
Azure.
4+ years of Hands-on
experience
with
infrastructure-as-code
and
configuration-as-code
practices.
Experience
using
monitoring,
observability,
and
operational
analytics
tools.
Foundational
understanding
of
Artificial
Intelligence
(AI)
and
machine
learning
concepts,
particularly
within
automation,
observability,
or
developer
productivity
domains.
Experience working with Linux-based environments, enterprise-grade container orchestration platforms supporting declarative infrastructure and horizontal scaling, retrieval-augmented generation
solutions,
vector
databases,
AI
assistant
frameworks,
high-availability
architectures,
or
large-scale
technology
environments.
Preferred
Qualifications
Experience
within
financial
services
or
other
highly
regulated
technology
environments.
Experience
building,
operating,
or
supporting
AI-enabled
internal
developer
platforms
and
engineering
productivity
solutions.
Certification
or
practical
experience
with
enterprise
secrets-management
platforms.
Relevant
cloud
certifications
are
beneficial.
For Wilmington, DE Only the salary range for this position is USD$110,000.00 - USD$138,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
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
BlackRock’s 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, we’ve provided
guidance
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 children’s 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. It’s why we’re 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
. We also encourage you to get to know us on
LinkedIn
,
Instagram
,
YouTube
,
X
, and
TikTok
.
BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender
identity/expression),
sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
View the
EEOC’s Know Your Rights poster and its supplement
and the
pay transparency statement
.
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable
accommodation/adjustments
are needed throughout the employment process, please email
[email protected]
. All requests are treated in line with our
privacy policy
.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.