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Job Details
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Role Overview
Moody’s Ratings Platform Engineering is building the connective tissue that powers ratings, research, and commercial capabilities at scale. As a Principal Integration Specialist, you will be the senior hands‑on expert who rapidly understands our platforms and delivers robust integrations across database services, middleware, production support, document management, release & environment management, and cloud engineering. You’ll lead by influence (not headcount), set integration patterns, and be a key driver of AI‑assisted engineering across the platform ecosystem.
You will thrive if you love solving complex systems problems, shipping reliable automation, and elevating engineering teams with clear patterns, guardrails, and measurable outcomes.
Key Responsibilities
Own cross‑platform integrations end‑to‑end. Design, build, and harden integrations that connect services across database, middleware, production support, document management, release/environment management, and cloud engineering; define reference architectures and reusable patterns for APIs, events, data movement, identity/entitlements, observability, and CI/CD.
Ramp fast and deliver across multiple programs. Quickly learn Moody’s platforms and ongoing initiatives; turn ambiguous requirements into running integrations that improve reliability and developer experience.
Make AI a multiplier. Introduce agent‑assisted workflows, coding copilots, and test automation to reduce cycle time and defect escape rate; help platform and cloud teams operationalize AI safely and effectively.
Build with Moody’s stack. Integrate within our cloud/Kubernetes operating model (EKS + Rancher/ACM), observability (Grafana/Datadog), scheduling/orchestration (Control‑M, AWS Transfer Family) and data/ETL (Informatica PowerCenter, Alteryx, KNIME).
Security, compliance, and governance first. Implement integrations that align to DORA‑aligned risk management.
Accelerate release quality. Partner with DevOps, Release & Environment Management to standardize deployment pipelines, integration testing, and rollback strategies across environments.
Create scalable playbooks. Document patterns, guardrails, and “golden paths”; mentor teams through architecture reviews, technical deep dives, and incident postmortems.
Communicate and influence. Translate leadership priorities into technical roadmaps; align stakeholders across Platform Engineering and partner towers; remove friction via crisp written and verbal communication.
Measure outcomes. Track and improve lead time for changes, MTTD/MTTR, integration throughput, test coverage, and change failure rate; socialize dashboards that make progress visible.
Qualifications (Must‑Have)
Senior IC depth. 10+ years in platform/integration engineering with demonstrable ownership of complex, production‑grade integrations and automation.
Cloud & container fluency. Hands‑on experience with AWS (or equivalent), Kubernetes, and cluster management; comfort with Infrastructure‑as‑Code and secrets/identity management.
Integration patterns mastery. Proven use of API gateways, event streaming/queues, batch and near‑real‑time data movement, and resilient transaction flows.
Observability & reliability. Practical expertise with logging, metrics, tracing, SLOs/error budgets, and performance tuning; experience integrating Grafana/Datadog (or similar).
Automation & orchestration. Solid experience with scheduling/orchestration tools (e.g., Control‑M) and CI/CD; strong scripting (Python/PowerShell/Bash) for automation.
Data & document integration. Experience integrating ETL/ELT stacks (Informatica, KNIME, Alteryx) and enterprise document solutions (EDMS/FileNet) with secure S3 storage.
Communication & stakeholder management. Ability to align diverse engineering teams and articulate trade‑offs to technical and non‑technical audiences.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
In a world shaped by increasingly interconnected risks, Moody's helps customers develop a holistic view of these risks to advance their business... Read more