Total 27 job vacancies by Cygnify Pte. Ltd.

Role: Data Scientist (Machine Learning) – AI Fintech

Location: Singapore

We are partnering with a leading AI Fintech seeking a Data Scientist with expertise in banking models, fraud analytics, and machine learning. You will design predictive models, detect fraud patterns, and collaborate with Risk, Product, and Engineering teams to deliver data-driven solutions.

Responsibilities:

• Build and deploy machine learning models for credit risk, payments, and fraud detection.
• Analyze transactional data to identify fraud patterns and emerging risks.
• Perform feature engineering, model training, validation, and monitoring.
• Collaborate with cross-functional teams to implement models into production systems.
• Ensure all models meet regulatory and compliance standards.

Requirements:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field.
• 3+ years of experience in data science, ideally with a focus on banking or fraud analytics.
• Strong skills in Python, SQL, and machine learning tools; experience with GenAI and LLMs is a plus.
• Solid understanding of banking products, fraud schemes, and risk modeling techniques.
• Hands-on experience with supervised and unsupervised machine learning, applied statistics, and AI methods.

UEN: 202329526G

EA Licence: 23S2061

Role: Lead System Analyst

Location: Singapore

We are partnering with a leading organisation to hire a Lead System Analyst to drive the modernisation and reliability of billing systems. This role will focus on ensuring system stability, quality, and scalability through strong QA governance, DevOps practices, and solution oversight.

Key Responsibilities

• Lead the reliability and performance of billing systems, including monitoring, observability, and incident management

• Conduct technical solution reviews to ensure alignment with architecture, security, and performance standards

• Define and enforce engineering standards, QA governance, and best practices across systems and integrations

• Oversee release and change management processes, ensuring smooth deployment and rollback strategies

• Drive test strategy and quality assurance, including automation, non-functional testing, and defect management

• Manage and guide vendor engineering teams, ensuring delivery quality, SLA adherence, and issue resolution

• Collaborate with cross-functional stakeholders to ensure timely delivery and operational readiness

• Ensure systems comply with security, audit and regulatory requirements

• Prepare technical documentation and mentor team members to enhance overall engineering capability

Requirements

• Degree in Computer Science, IT, Engineering or related field

• 7+ years of experience in IT, including systems analysis, QA, DevOps or production support

• Strong experience in QA practices, including automated testing and release validation

• Experience working with billing systems or similar enterprise platforms

• Knowledge of BSS/OSS environments is an advantage

• Proven ability in solution review, governance and enforcing engineering standards

• Experience managing vendors or external teams

• Familiarity with Agile, CI/CD pipelines, cloud environments and APIs (REST/SOAP)

• Strong analytical, problem-solving and stakeholder management skills

• Ability to work in a fast paced, production critical environment

Nice to Have

• Experience in telecom billing or mediation systems

• Exposure to large-scale enterprise system environments
  

  UEN: 202329526G

  EA Licence: 23S2061

Role: Principal Security Engineer - Cloud & Innovation

Location: Singapore

We are partnering with a leading organization to hire a Principal Engineer to drive innovation in cloud security, zero trust architecture, and next-generation threat detection across multi-cloud environments. This role is ideal for someone passionate about building cutting-edge security solutions, working at the intersection of cloud, Kubernetes, and AI security.

Key Responsibilities

• Drive security innovation initiatives by identifying emerging threats across cloud, containers, and AI systems, and developing scalable solutions

• Research, prototype, and implement advanced security capabilities from proof-of-concept to production

• Design and enhance runtime security for Kubernetes and cloud-native environments

• Build and simulate multi-cloud attack scenarios to strengthen detection and response capabilities

• Develop and implement security automation and policy-as-code frameworks

• Architect and enforce security best practices across multi-cloud platforms (IAM, logging, encryption, network controls)

• Lead Kubernetes security initiatives, including workload protection, admission controls, and supply chain security

• Explore and integrate emerging technologies for security (e.g., eBPF, confidential computing, AI security techniques)

• Collaborate with cross-functional teams to ensure secure system design and implementation

Requirements

• Degree in Computer Science, Engineering, or a related field

• 8+ years of experience in cloud / infrastructure security, with leadership exposure

• Strong hands-on experience with public cloud platforms (AWS and/or Azure/GCP)

• Deep understanding of Kubernetes security and cloud-native architectures

• Experience with automation and Infrastructure as Code (e.g., Terraform)

• Proficiency in Python or Go for building security tools

• Strong problem-solving and research mindset with experience in developing innovative security solutions

• Familiarity with modern application and AI security concepts

Good to Have

• Experience with multi-cloud security architectures

• Exposure to advanced threat detection, runtime security, or forensic techniques

• Relevant certifications such as Kubernetes Security, Cloud Security, or similar
  

  UEN: 202329526G

  EA Licence: 23S2061

Role: Software Engineers (Java/C/Python - multiple roles available) - AI Fintech

Location: Singapore

Job Type: Permanent

We are partnering with an AI fintech company specializing in banking software solutions, delivering innovative products to financial institutions. They provide cutting-edge technology that enables seamless, secure, and efficient banking experiences.

Key Responsibilities:

• Design, develop, and maintain high-performance platform for AI-driven banking solutions.
• Write clean, scalable, and efficient code for cloud-based systems.
• Integrate software components with internal and external systems to ensure seamless functionality.
• Learn and use AI and machine learning to integrate and optimize AI models for real-time processing.
• Ensure AI algorithms are effectively embedded within financial applications.
• Develop and execute unit, integration, and performance tests to ensure software quality.
• Diagnose and resolve technical issues across development, test, and production environments.
• Contribute to the design and architecture of scalable, secure, and high-performance financial systems.
• Participate in code and design reviews, ensuring adherence to industry best practices.
• Work closely with cross-functional teams, including engineers, researchers, and product managers.

Requirements

• Computer Degree holder with 2-8 years of hands-on software development experience.
• Proficient in Java or Python or Embedded-C, and related frameworks.
• Familiar with cloud platforms such as AWS, GCP, Azure, or private cloud.
• Strong problem-solving skills, analytical thinking, and attention to detail.
• Excellent communication and teamwork abilities.
• Knowledge in AI, or machine learning frameworks, is a plus.
• Experience in Fintech, Banking, or Financial Services, is a plus.

Role: Data Centre Critical Infrastructure Engineer

Location: Singapore

We are partnering with a leading organisation to hire a Data Centre Critical Infrastructure Engineer to support the operations and maintenance of critical facilities systems across data centres and office environments. This role is responsible for ensuring the reliability, safety, and performance of key infrastructure systems while supporting operational readiness and business requirements.

Responsibilities:

• Perform day-to-day operations and maintenance of critical infrastructure systems, including generators, UPS, DC rectifier systems, STS, fire protection systems, HT/LT electrical systems, ACMV, and building management systems

• Ensure preventive and corrective maintenance works are carried out according to planned schedules and service standards

• Monitor and maintain data centre facilities to ensure high availability, reliability, and operational efficiency

• Manage physical and electronic security systems such as card access, CCTV surveillance, and visitor tracking

• Support customer-related work orders and ensure delivery within committed service timelines

• Plan, coordinate, and evaluate tenders, and support project execution for infrastructure upgrades and expansion works

• Maintain accurate records, maintenance logs, and update M&E, building, and schematic drawings

• Conduct regular inspections to identify safety hazards or unsafe conditions, and implement corrective actions in compliance with regulatory requirements

• Support lease management activities, including coordination with landlords, tenants, and internal stakeholders where required

• Liaise with internal teams, external vendors, contractors, and relevant authorities on facility-related matters

• Carry out risk assessments and support risk mitigation measures across facility operations

• Participate in 24/7 standby duties and respond to incidents, faults, and operational issues as required

• Support any other infrastructure and facility-related duties assigned by management

Requirements:

• Diploma or Degree in Electrical, Mechanical, Telecommunications, Facilities Management, or a related discipline

• 0–3 years of experience in facilities operations and maintenance, preferably within a data centre or critical infrastructure environment

• Diploma graduates with a positive attitude and willingness to learn may also be considered

• Good hands-on knowledge of critical facilities systems and building maintenance

• Exposure to data centre operations, electrical systems, ACMV, fire protection, or building management systems is preferred

• Basic knowledge of networking, broadband access, or structured cabling will be an advantage

• Proficiency in MS Office applications, with working knowledge of AutoCAD and MS Project preferred

• Experience in vendor, contractor, or service provider coordination would be beneficial

• Strong problem-solving skills with the ability to work under pressure in a mission-critical environment

• Good communication and interpersonal skills, with the ability to engage stakeholders across different levels
  

  UEN: 202329526G

  EA Licence: 23S2061

Role: Network Engineer (IP/MPLS)

Location: Singapore

We are looking for a Network Engineer to support and enhance large-scale IP/MPLS core network environments. This role is critical in ensuring secure, resilient, and high-performing network operations that power both consumer and enterprise services.

Responsibilities

• Provide expert-level support for complex IP core and enterprise network environments

• Design, implement, and optimize network solutions across multi-vendor platforms

• Troubleshoot critical network issues and ensure minimal downtime

• Lead network transformation initiatives, including tech refresh and PoCs

• Perform upgrades, patching, and security hardening of network infrastructure

• Conduct risk assessments and vulnerability reviews

• Monitor network performance and recommend continuous improvements

• Manage L2VPN/L3VPN provisioning and migrations

• Support cloud and government network connectivity projects

• Handle incident response, escalation management, and vendor coordination

• Prepare technical reports and present insights to stakeholders

Requirements

• 5+ years of experience in enterprise or service provider network engineering

• Strong expertise in IP/MPLS networks (BGP, OSPF)

• Hands-on experience with routers, switches, and network management tools

• Proven track record in network upgrades, migrations, and incident recovery

• Ability to operate in high-availability, 24/7 environments

• Strong troubleshooting, analytical, and communication skills

Job Description

As a Data Platform Engineer, you will operate large-scale big data platforms across hybrid (on-premises and cloud) environments, enabling reliable analytics and data-driven use cases. You will work closely with data engineers, data scientists, infrastructure, security, and business stakeholders to ensure data quality, platform stability, and operational excellence.This role focuses on building, running, and optimizing production-grade data platforms and pipelines, with strong ownership of infrastructure, automation, reliability, and operations. 

Key Responsibilities

• Design, implement, and manage scalable data platform infrastructure and pipelines across on-premises and cloud environments.
• Own the end-to-end platform lifecycle, including architecture design, deployment, operations, performance optimization, and reliability engineering.
• Maintain and support data platform clusters and nodes (compute, storage, networking), ensuring high availability and optimal performance.
• Provision, configure, and manage cloud-based data services such as AWS S3, Redshift etc.
• Monitor platform health, performance, and capacity; implement observability, alerting, and operational runbooks to ensure system reliability.
• Support and optimize ETL/ELT pipelines, ensuring reliable data ingestion, transformation, and delivery.
• Operate and maintain data storage platforms (on-premises and cloud), ensuring durability, scalability, and cost efficiency.
• Implement and enforce security best practices, including IAM, VPC configurations, encryption, backup strategies, and disaster recovery.
• Ensure compliance with data governance and regulatory requirements (e.g., PDPA) in collaboration with infrastructure and security teams.
• Collaborate with data engineers, data scientists, and cross-functional stakeholders to align platform capabilities with business and analytical needs.
• Develop and maintain technical documentation, including system architecture, data flows, configurations, and operational procedures.

Requirements

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• 2–5+ years of experience in System Engineering, Infrastructure Engineering, DevOps, or Data Engineering.
• Strong hands-on experience managing Linux-based systems, including configuration, patching, performance tuning, and troubleshooting.
• Experience supporting on-premises or cloud infrastructure (e.g., AWS), including compute, storage, and networking components.
• Familiarity with operating distributed systems or data platforms (e.g., Hadoop, Spark, Airflow), focusing on deployment, monitoring, and troubleshooting rather than development.
• Solid understanding of networking fundamentals, including TCP/IP, DNS, routing, firewalls, load balancing, and VPC design.
• Knowledge of system and platform security practices, including IAM, access control, encryption, patch management, and basic compliance requirements.
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK, CloudWatch) for system health, alerting, and incident response.
• Strong troubleshooting and problem-solving skills in production environments, with the ability to diagnose issues across infrastructure, network, and platform layers, and collaborate effectively with cross-functional teams to ensure platform reliability and operations

Role: Network Engineer (IP/MPLS)

We are looking for Senior Network Engineer to support and enhance large-scale IP/MPLS core network environments. This role is critical in ensuring secure, resilient, and high-performing network operations that power both consumer and enterprise services.

Responsibilities

• Provide expert-level support for complex IP core and enterprise network environments

• Design, implement, and optimize network solutions across multi-vendor platforms

• Troubleshoot critical network issues and ensure minimal downtime

• Lead network transformation initiatives, including tech refresh and PoCs

• Perform upgrades, patching, and security hardening of network infrastructure

• Conduct risk assessments and vulnerability reviews

• Monitor network performance and recommend continuous improvements

• Manage L2VPN/L3VPN provisioning and migrations

• Support cloud and government network connectivity projects

• Handle incident response, escalation management, and vendor coordination

• Prepare technical reports and present insights to stakeholders

Requirements

• 5+ years of experience in enterprise or service provider network engineering

• Strong expertise in IP/MPLS networks (BGP, OSPF)

• Hands-on experience with routers, switches, and network management tools

• Proven track record in network upgrades, migrations, and incident recovery

• Ability to operate in high-availability, 24/7 environments

• Strong troubleshooting, analytical, and communication skills

As a Data Center Analyst/Data Engineer, you will operate large-scale big data platforms across hybrid (on-premises and cloud) environments, enabling reliable analytics and data-driven use cases. You will work closely with data engineers, data scientists, infrastructure, security, and business stakeholders to ensure data quality, platform stability, and operational excellence. This role focuses on building, running, and optimizing production-grade data platforms and pipelines, with strong ownership of infrastructure, automation, reliability, and operations.

Key Responsibilities
1. Manage On-Prem and Cloud Data Platforms

• Maintain and support on-premises clusters, including compute, storage, networking, and system configurations.

• Provision, configure, and manage cloud infrastructure, including AWS S3, EMR, Redshift, and RDS.

• Monitor platform performance, capacity, and availability; implement operational alerts, monitoring, and runbooks.

2. Build, Operate & Support Data Pipelines

• Develop and support ETL/ELT pipelines using PySpark and Airflow, ensuring reliable ingestion, transformation, and data loading.

• Operate pipelines across hybrid environments, handling job execution, retries, basic performance tuning, and failure recovery.

• Validate, clean, and standardize datasets; monitor pipeline health, data freshness SLAs, and failure patterns, and perform root cause analysis and remediation.

• Support data storage platforms such as S3, PostgreSQL, Redshift, and MongoDB from an operational and platform perspective.

• Automate DataOps and MLOps workflows using CI/CD pipelines (e.g., GitLab CI/CD, Jenkins).

3. Security, Compliance & Governance

• Implement secure access controls (IAM, VPC, security groups), encryption, backups, and disaster recovery mechanisms.

• Partner with infrastructure and security teams to ensure compliance with PDPA, GDPR, and internal governance policies.

Requirements

• Degree in Computer Science, Software Engineering, Data Science, or equivalent experience

• 2-5+ years of hands-on experience in DevOps, Data Platform Engineering, or Infrastructure Engineering, supporting big data or analytics platforms.

• Experience managing on-premises and cloud infrastructure, including compute, storage, and network configuration.

• Hands-on experience with cloud and/or hybrid environments supporting big data pipelines, with Spark / PySpark and Airflow at an operational level (job execution, basic tuning, failure handling).

• Knowledge of containerization and orchestration, including Docker fundamentals and Kubernetes (deployments, services, ingress, scaling, resource limits).

• Strong understanding of networking fundamentals, including VPC design, routing, DNS, firewalls, and load balancing.

• Knowledge of security concepts, such as IAM, access control, and compliance basics.

• Experience with CI/CD pipelines and automation using tools such as GitLab CI/CD, Jenkins, or similar.

• Basic understanding of MLOps concepts from a platform and infrastructure support perspective.

• Strong troubleshooting and problem-solving skills in production environments.

• Comfortable working with cross-functional teams (data engineers, ML engineers, security, product).

Role: Salesforce/CloudSense Lead
Location: Singapore

We are looking to hire a Salesforce / CloudSense Lead to drive large-scale digital transformation across CRM and Order Management platforms. You will lead the design and delivery of Salesforce and CloudSense solutions, ensuring high-quality, scalable systems that support complex enterprise sales and order journeys.

Responsibilities:

• Lead end-to-end solution delivery across the SDLC - from requirements to production.Own technical design and delivery for Salesforce and CloudSense implementations.

• Drive product modelling, pricing, and order orchestration using CloudSense CPQ.

• Define and enforce DevOps standards including CI/CD, automation, and testing.Partner with business, IT, and vendors to deliver enterprise-grade CRM and OM solutions.

• Ensure system stability, performance, security, and continuous improvement.

• Troubleshoot issues across sandbox, staging, and production environments.

• Mentor engineers and provide strong technical leadership.

Requirements

• 8+ years of experience in Salesforce architecture, development, and integration.

• Strong expertise in CloudSense CPQ (product modelling, pricing, orchestration).

• Hands-on with Sales Cloud, Service Cloud, Community Cloud, Apex, LWC, Visualforce.

• Experience with DevOps on Salesforce (CI/CD, version control, automation).

• Strong knowledge of APIs, integrations, and microservices.

• Salesforce and/or CloudSense certifications are a strong advantage.

Role: Presales Technical Consultant - Cybersecurity

Responsibilities:

·       We are partnering with a leading telecom client to hire a Cybersecurity Pre-Sales/ Solution Architect to support sales teams in building strong pipelines through a consultative, solution-led approach

·       Partner with sales and account teams to drive new business and expand existing accounts

·       Translate customer needs into end-to-end security solutions

·       Design and present technical solutions, including architecture, proposals and proof-of-concepts

·       Support bid processes and pricing discussions with technical input

·       Work with cross-functional teams to ensure solution feasibility and delivery readiness

·       Stay updated on market trends, technologies and competitive landscape

·       Run enablement sessions and briefings for clients and internal teams

Requirements

·       5-10years of experience in cybersecurity or related technology role

·       Relevant security certifications are a plus

·       Strong understanding of security architecture across areas like IAM/PAM, endpoint, data protection, threat prevention, SASE, SIEM, DLP etc.

·       Good knowledge of security operations, incident response and threat management is an advantage

·       Familiar with data protection and security compliance standards in the region

JobDescription

TheSenior Product Executive will be responsible for providing strategic direction,product feature prioritization, product costing, while working closely with customers and sales specialist team for GTM initiatives to drive new sales.

Responsibilities

• The person must not only be knowledgeable of product development and management tools, but also able to put forth fresh perspectives and innovative strategies to drive product portfolios GTM.
• Responsible for Layer 1 services, product line strategies including go-to-market strategy, roadmap and executions.
• To manage and drive product lines budget/revenue target by close collaboration with sales and marketing on the GTM plan, customer acquisitions and pricing strategies.
• Manage financial targets for the product portfolio, including revenue, profit margins, and growth metrics. Develop and execute strategies to meet or exceed these financial goals
• Partner network sales specialist team to drive performance metrics for Enterprise Connectivity service line.  Partner and collaborate with other division stakeholders Engineering team and Information Services to ensure smooth operations for connectivity.
• To have in depth understanding of competitive information, technology trend, develop insights and assess potential impacts to develop comprehensive business strategies for product, positioning, packaging and pricing.
• To collaborate with functional team (internal and external stakeholders) for the executions of product line roadmap, enhancement plan as well as product performance to meet customer requirements.
• Strong ability to build new product business case by analysing market requirements, technology trend, potential ROI and sales channel to secure resources, capex and opex for new product creation.
• To drive product related process efficiency and improvement to sales enablement with enhancing Customer Experience in mind.
• Planning and coordination of service migrations, supported by the Operations, Project Management, and Product Systems Platforms teams.
• Support initiatives to improve customer experience for users of our products and services

Requirements

• Degree in Business, Engineering, IT or related field with at least 5 years’ experience in product management within telecom or connectivity industry, with specific exposure to Layer 1 technologies.
• Strong knowledge of optical transmission, wavelength services, dark fiber, and related infrastructure.
• Proven track record in go-to-market execution, product launches, and sales enablement.
• Experience with product financials and P&L ownership (pricing, costing, margin optimization).
• Excellent communication and stakeholder management skills across technical and commercial teams.
• Strong analytical and problem-solving skills and ability to translate technical capabilities into commercial value.