Who We Are Looking For
We are seeking a Full Stack Software Engineer to play a critical role in modernizing the technology ecosystem that supports Internal Audit. This role sits at the intersection of engineering excellence, cloud‑native delivery, and intelligent workflow enablement, with a strong focus on building enterprise‑grade systems that improve audit lifecycle efficiency, transparency, and data‑driven risk insights.
This is an individual contributor position with end‑to‑end ownership of complex systems. You will actively design, build, test, and operate full stack, cloud‑native applications, while also serving as a technical leader—driving system design decisions, setting engineering standards, and leading by example through high‑quality code.
You will deliver secure, scalable applications that embed AI‑enabled capabilities directly into user workflows—supporting structured content generation, workflow enhancement and planning experiences—while meeting enterprise standards for security, privacy, governance, and operational readiness.
What You Will Be Responsible For
Full Stack Engineering & Solution Design
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Serve as a hands‑on lead engineer, owning the design and implementation of complex full stack features across front‑end, back‑end, APIs, and data layers.
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Lead technical design and solution architecture for key initiatives, translating functional requirements into scalable, maintainable systems.
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Build high‑quality user interfaces using component‑driven architectures and modern state management, with strong attention to usability, accessibility, and performance.
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Design and implement secure, resilient backend services and RESTful APIs that support enterprise workflows and AI‑enabled user journeys.
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Set and reinforce engineering standards for code quality, testing, documentation, and maintainability through design reviews and code reviews.
Cloud, DevOps & Production Operations
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Design and implement cloud‑native architectures, leveraging containerization, resiliency patterns, horizontal scalability, and performance optimization.
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Build, own, and evolve CI/CD pipelines, infrastructure as code, automated testing, and release controls to enable rapid yet governed delivery.
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Ensure production systems meet enterprise expectations for availability, reliability, observability, and operational resilience.
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Own troubleshooting and resolution of complex issues across the full stack, leading root cause analysis and driving durable fixes.
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Champion best practices for monitoring, alerting, logging, and cost awareness in cloud environments.
AI Integration & Data Platforms
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Integrate AI/ML capabilities into applications in close collaboration with AI and data teams, embedding them directly into user workflows.
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Implement evaluation controls, telemetry, and safe failure modes for AI‑enabled features, including human‑in‑the‑loop review checkpoints where appropriate.
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Design and integrate with databases and enterprise data platforms, including SQL/NoSQL systems and lakehouse technologies (e.g., Databricks).
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Build efficient data access patterns and support scheduled or recurring processes for continuous monitoring, analytics, and insights generation.
Security, Risk & Compliance
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Embed security, privacy, and compliance requirements into system design and implementation from the ground up.
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Enforce secure coding practices, identity and access controls, audit logging and data protection standards.
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Partner with risk, security, and compliance stakeholders to ensure solutions meet regulatory and internal policy requirements in a regulated environment.
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Contribute to architectural decisions that balance innovation, usability, and risk management in an enterprise context.
Collaboration & Continuous Improvement
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Collaborate closely with product owners, audit stakeholders, designers, AI teams, data engineers and platform partners to deliver production‑ready solutions.
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Help shape technical roadmaps, influence prioritization of technical debt, and drive continuous improvement across the engineering lifecycle.
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Lead by example in adopting and promoting modern engineering practices, tools, and patterns.
What We Value
The skills and behaviors that will help you succeed in this role include:
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Strong full stack engineering expertise, spanning front‑end, back‑end, APIs, and data layers in enterprise-grade systems.
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Demonstrated technical leadership as a hands‑on engineer, leading by example through design, coding, and operational ownership.
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Ability to design scalable, cloud‑native systems with a focus on reliability, performance, and maintainability.
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Solid DevOps discipline, including CI/CD, infrastructure as code, automated testing, and observability.
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Experience integrating AI/ML capabilities into applications in a controlled, observable, and user‑centric way
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Strong understanding of secure coding and compliance considerations in regulated enterprise environments.
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Analytical problem‑solving skills and the ability to translate complex requirements into pragmatic technical solutions.
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Strong collaboration and communication skills across engineering, AI, security, and business stakeholders.
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A continuous learning mindset and commitment to improving engineering practices and system quality.
Education & Preferred Qualifications
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Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience; Master’s degree preferred.
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7+ years of experience delivering enterprise full stack web applications and APIs in cloud environments, with ownership of production systems.
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Experience operating in a senior or lead engineer capacity, driving technical design decisions and mentoring other engineers.
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Proficiency in React, JavaScript/TypeScript, HTML5, and CSS3.
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Strong experience building backend services and RESTful APIs using Node.js, with exposure to Python and/or Java frameworks.
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Solid knowledge of SQL and NoSQL databases, data modeling, and efficient data access patterns.
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Hands‑on experience with AWS and/or Azure, including compute, storage, messaging, and observability services.
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Experience with container platforms such as Kubernetes or managed container services.
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Strong DevOps experience, including CI/CD pipelines, infrastructure as code, and release management.
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Experience integrating AI/ML capabilities into applications via APIs, orchestration, evaluation gating, and monitoring.
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Proficiency with Git and collaborative development practices, including code reviews.
Nice to Have
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Experience with Databricks or other data lakehouse platforms.
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Background supporting Internal Audit, Risk or Finance corporate functions.
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Experience with performance tuning, distributed systems and operating high‑availability production applications
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Familiarity with enterprise identity platforms, zero‑trust architectures, or advanced security controls.
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Cloud, security, or architecture certifications (Azure, AWS).
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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