Jobs at Cygnify

Designs and reviews cybersecurity architectures for telecom, enterprise, cloud, application, network, and critical infrastructure environments. Performs threat modeling, risk assessments, security gap analysis, and technology evaluations. Defines security requirements and develops high-level designs, control matrices, and reference architectures. Engineers production-ready cybersecurity products and solutions using Security-by-Design, Zero Trust, and resilient security principles. Collaborates with product, engineering, infrastructure, and operations teams to implement and productize secure capabilities.

Gather business requirements and configure Murex MX.3 collateral workflows for OTC derivatives and securities financing. Deliver functional designs, testing (SIT/UAT), integrations (SWIFT, AcadiaSoft, market data), regulatory support (UMR, SIMM), production support, and stakeholder management throughout implementation and post-go-live.

The role involves planning, deploying, and optimizing 4G/5G mobile core network infrastructure while supporting network expansion and roaming services. Collaboration with teams to ensure operational readiness and involvement in technical studies for emerging technologies are key responsibilities.

The Head of Corporate Development drives growth initiatives, manages mergers and acquisitions, evaluates investments, and leads fundraising and investor relations activities.

Build and operate ML infrastructure supporting model training, evaluation, deployment, inference, experimentation, and continuous improvement. Develop scalable, low-latency serving systems, reproducible pipelines, benchmarking and evaluation tools, and production observability. Improve reliability, performance, throughput, and cost efficiency while partnering with AI engineers, researchers, and product teams to deliver production-ready AI capabilities.

Own the end-to-end product strategy and execution for AI-native applications. Define AI system requirements, evaluate model behavior, make trade-offs across quality, latency, cost, reliability, and user experience, and partner closely with ML, backend, mobile, and engineering teams. Establish evaluation frameworks, prioritize roadmaps, drive rapid and safe delivery, and ensure product correctness, predictability, and user trust.

Build and operate production backend systems powering AI features. Design inference pipelines, orchestration layers, and model service boundaries while optimizing latency, throughput, caching, batching, and streaming. Monitor reliability through logging, alerting, and incident response, and develop stable APIs for mobile, desktop, frontend, and machine learning integrations. Debug distributed systems under load and continuously improve performance based on production behavior.

Build and ship production-grade AI product features across frontend, backend, and AI integrations. Design reliable multi-step agent workflows with planning, tool use, memory, streaming, failure recovery, and fallback mechanisms. Integrate LLMs, RAG systems, and external tools while improving latency, observability, monitoring, and workflow success rates. Collaborate with ML, backend, and product teams to deliver scalable AI-native experiences.

Implement and configure Collibra data catalog and lineage (technical and business), integrate metadata from ETL, data lake/DWH and core banking systems, map end-to-end lineage, enforce MAS-aligned data governance, validate metadata quality, and manage stakeholder delivery and reporting.

Lead research on advanced planning, scheduling, modeling, and optimization for complex manufacturing systems. Develop mathematical models and algorithms, collaborate with engineers to deploy solutions, engage industry partners, secure research funding, and publish results. Senior level adds project leadership, mentorship, and stakeholder technical ownership.

Lead end-to-end UX for AI-powered enterprise banking platforms: conduct discovery and research; design journeys, IA, wireframes, prototypes, and high-fidelity UIs; create data-rich visualizations and design systems; collaborate with product and engineering to deliver explainable, scalable AI-enabled experiences.

Lead full sales cycle across Singapore public sector accounts: build territory and account plans, engage senior stakeholders, close complex enterprise deals, coordinate cross-functional teams, and drive adoption of the client's developer data platform to achieve revenue targets and long-term expansion.

Manage the delivery of Trade Finance transformation projects, coordinating teams, managing project resources, timelines, and ensuring project alignment with strategic goals.

The role involves developing AI-driven banking solutions, writing efficient code, integrating systems, and ensuring software quality through testing and reviews.

Lead software development for AI-driven banking solutions, ensuring high-performance, scalable code and integration with AI algorithms across financial applications.

The SQL Developer will develop and maintain SQL queries and database solutions while supporting financial reporting and collaborating with finance teams.

As a Data Scientist in AI Fintech, you will build machine learning models for fraud detection, analyze data, and ensure compliance with regulations.

Responsible for achieving sales targets through developing new business, maintaining client relationships, and understanding industry needs for customized media solutions.

The Senior Scientist will advance robotics through Embodied AI, focusing on learning techniques and creating deployable solutions for industrial applications.

Perform external audits for multiple client engagements, prepare statutory tax filings, document audit procedures to professional standards, understand client needs, collaborate with teams to meet departmental targets, and handle ad-hoc assignments while ensuring accuracy and timely service.