Senior Core Developer

Key Responsibilities

.Design and build internal core platform services (e.g., authentication, user permissions, UI frameworks, data access layers) that power business-critical applications.

.Partner with PMs, operations, risk, compliance, investment teams, and other enterprise-scale business functions (e.g., marketing, or data platforms) to understand use cases, prioritize features, and deliver thoughtful, well-scoped solutions.

.Own core components of the application stack including service orchestration, observability, error handling, deployment pipelines, and shared libraries.

.Define standards for application architecture, frontend/backend patterns, and platform onboarding for internal developer teams.

.Drive the delivery of reusable frameworks that reduce development time and promote consistency across teams.

.Collaborate with infrastructure, data, and security teams to ensure resilience, security, and scalability of platform components.

.Mentor engineers and champion best practices across product development, testing, and operational support.

.Design and integrate generative AI workflows, vector databases, and LLM-powered services to accelerate internal application development.

Qualifications

.6+ years of experience as a software or core platform engineer in complex, high-performance environments (e.g., hedge funds, fintech, capital markets, enterprise SaaS, or large-scale data/AI platforms).

.Proven success delivering internal tooling or shared platforms with a clear focus on user needs and business alignment.

.Strong software engineering skills in Python experience with C++, Java, C#, or other compiled languages a plus.

.Familiar with multi-threading concepts building high throughput, low latency systems experience with backend frameworks (e.g., FastAPI, Node.js).

.Hands-on experience with building cloud-native apps, containerization (Docker), orchestration (Kubernetes), CI/CD (GitHub Actions, ArgoCD, Jenkins, Spinnaker, or equivalent tools), and cloud infrastructure (AWS preferred, GCP experience welcome).

.Experience integrating generative AI and LLMs into modern technical solutions (e.g., LLM orchestration, RAG, embeddings, vector databases).

.Familiarity with RBAC/ABAC, microservice architecture, and service mesh patterns.

.Excellent communication skills ability to translate between technical and non-technical audiences and drive cross-functional initiatives.