Senior Cloud & Risk Platform Engineer - Vice President Job Irving area,Texas USA,Software Development

Applications Development Technology Lead Analyst – Senior Cloud & Risk Platform Engineer Responsibilities:

Architect & Build Cloud-Native Services:
Lead the design, development, and deployment of resilient, event-driven microservices and high-throughput computing pipelines on modern cloud infrastructure (Containers, Kubernetes, Microservices).
Power Enterprise Risk Engines:
Partner closely with Risk Quantitative Analysts, Risk Managers, and Enterprise Architecture teams to model, calculate, and stream real-time analytics across Credit Risk (PFE, Exposure, Counter party Risk, Limits) and Market Risk (VaR, Stress Testing, Sensitivity Analysis).
Champion AI-Augmented Engineering:
Pioneer the adoption of modern AI engineering toolsets (e.g., Git Hub Copilot, Claude, Devin) across the engineering lifecycle—from rapid prototyping and boilerplate reduction to automated unit/integration test synthesis, complex refactoring, and AI-driven code reviews.
Lead System Resiliency & Scalability:
Resolve complex architectural bottlenecks through in-depth evaluation of distributed systems, multi-threading, concurrency models, memory management, and enterprise data flows.
Define Engineering Excellence:
Establish and champion standards for clean code, SOLID principles, automated CI/CD pipelines, container orchestration, and comprehensive telemetry/observability.
Technical Mentorship & Thought Leadership:
Serve as a technical advisor and coach to mid-level engineers and analysts, conducting design reviews, fostering a culture of continuous learning, and accelerating delivery velocity.
Risk & Controls Governance:
Appropriately assess risk when business and technical decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets by driving compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct, and business practices, and escalating, managing, and reporting control issues with transparency.

Qualifications:

6–10 years of progressive experience in software engineering, distributed systems development, or applications architecture.
Core Java & Modern Stack Mastery:
Deep expertise in Java (Java 17/21+), J2EE, Spring Boot, reactive frameworks, advanced multi-threading, asynchronous I/O, low-latency processing, and memory optimization.
Risk Domain Expertise:
Strong working knowledge of Credit Risk and/or Market Risk concepts (e.g., Counter party Credit Risk, Stress Testing, Exposure Calculations, Value at Risk / VaR, Sensitivities, Scenarios).
Cloud & Distributed Computing:
Hands-on experience architecting microservices on cloud platforms, with solid containerization and orchestration expertise (Docker, Kubernetes, Helm, Open Shift).
AI Tooling & Modern Dev Acceleration:
Demonstrated proficiency and enthusiasm for integrating AI coding assistants and agentic engineering tools (Git Hub Copilot, Claude, Devin, ChatGPT/LLM APIs) to elevate team velocity, code quality, and automated debugging.
High-Throughput Messaging & Event Streaming:
Experience with distributed messaging backbones and streaming platforms such as Apache Kafka, Pulsar, or RabbitMQ.
API & Data Architecture:
Strong experience designing robust RESTful APIs, gRPC services, and working with relational databases (Oracle, PostgreSQL, MS SQL) and distributed caches/No

SQL platforms (Redis, Hazelcast, Cassandra, MongoDB).
Quality & Test Automation:
Proven background with testing frameworks (JUnit 5, Mockito, Cucumber, Testcontainers) and performance benchmarking (JMeter, Gatling).
CI/CD & Dev Ops:
Hands-on familiarity with modern CI/CD automation pipelines (Git, Tekton, Harness, Jenkins), static analysis (Sonar…