Total 10 job vacancies by Cygnify Pte. Ltd.

Role: MobileCore Network Ops Engineer (4G/5G)
Location: Singapore

We are partnering with a leading organisation to hire a Mobile Core Network OpsEngineer (4G/5G) to support critical telecom infrastructure and ensure seamlessnetwork operations.

About theRole

You will beresponsible for the operation, maintenance, and troubleshooting of 4G/5G corenetwork systems, ensuring high service availability and performance, includingsupport for international roaming services.

KeyResponsibilities

• Manage and support 4G/5G Mobile Core nodes (e.g., IMS, HSS, UDM, SBC, MSS, etc.) to ensure smooth network operations
• Perform system maintenance, including patching, upgrades, and performance optimisation
• Monitor network performance, KPIs, and alarms to maintain service quality
• Troubleshoot and resolve end-to-end network issues across core systems
• Collaborate with local providers and international roaming partners for testing and service assurance
• Implement security hardening and vulnerability management to mitigate risks
• Develop and maintain operational processes and documentation

Requirements

• Degree in Electronics, Communications, Networking, or related field
• Minimum 3-5 years of experience in the Telco industry
• Strong knowledge of 4G/5G core networks and call flows
• Familiarity with protocols such as IMS, VoLTE, SS7, Diameter, SIP, SCTP
• Hands-on experience in network troubleshooting (end-to-end)
• Exposure to VoLTE roaming and IREG testing
• Understanding of network and application security
• Knowledge of IP networking (switching & routing)
• Experience working with Linux and virtualised environments
• Basic scripting/programming skills (e.g., Python, Shell)

UEN: 202329526G

EA Licence: 23S2061

Job Title: Software Developer

Location: Singapore

We are partnering with a leading fintech company looking to hire an experienced Software Engineer to join their growing team in Singapore.

Responsibilities:

• Design, develop, and maintain a 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 4+ years of hands-on software development experience

• Experience with Java or Python or C, and related frameworks.

• Experience in Fintech, Banking, or Financial Services.

• 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, NLP or machine learning frameworks is a big plus.

Location: Singapore

We are currently partnering with a leading technology-driven telecommunications organization that is scaling rapidly to support new digital initiatives and platforms. As part of this expansion,multiple roles are open across key functions to help build, maintain, and enhance next-generation solutions. To design, build, and optimise secure, high‑performance cloud networking architectures across hybrid and multi‑cloud environments (AWS, Alicloud) for new innovations. Act as a key enabler for new initiatives from early‑stage innovation projects to product launches by providing agile, scalable, and automation‑first network solutions.


Responsibilities

• Architect and deploy cloud networking solutions across AWS (VPC, Transit Gateway, Direct Connect, Route 53, Global Accelerator), Alicloud, Baremetal and GCP.
• Design hybrid connectivity between on‑prem data centres and cloud providers using VPN, Direct Connect, or ExpressRoute.
• Implement advanced networking patterns (hub‑spoke, mesh, micro‑segmentation) for multi‑account/multi‑subscription environments.
• Automate network provisioning with Terraform, CloudFormation, or ARM templates; embed network security controls (Security Groups, NACLs) as code.
• Support new initiatives by:Rapidly prototyping network architectures for proof‑of‑concepts (e.g., edge computing, 5G‑related workloads, AI/ML data pipelines).Advising product teams on cloud networking constraints, costs, and best practices.Building reusable, “batteries‑included” network modules that reduce time‑to‑network for innovation projects.
• Manage cloud load balancing (ALB/NLB, Application Gateway, Traffic Manager) and content delivery (CloudFront,  CDN).
• Collaborate with security teams to enforce Zero Trust network access, private endpoints, and service endpoints.
• Optimise cloud network costs by analysing data transfer patterns and right‑sizing network resources, with specific attention to short‑lived or burst‑type innovation workloads.
• Troubleshoot complex network issues (routing, latency, packet loss) using native tools (VPC Flow Logs, Azure Network Watcher) and third‑party solutions.
• Document network architectures, runbooks, and disaster recovery procedures.
• Participate in on‑call rotation for critical cloud network inciden

Requirements

• 3+ years in cloud engineering or cloud architecture with a strong networking focus.
• Proven experience supporting innovation projects, incubators, or rapid prototyping with cloud networking.
• Deep hands‑on experience with AWS networking (VPC, Transit Gateway, Direct Connect), VMWare ESXi and Alicloud networking.
• Success in designing hybrid cloud connectivity for production workloads as well as temporary/test environments.
• Proficient in Infrastructure as Code (Terraform advanced, CloudFormation).
• Strong scripting (Python, Bash) for network automation and monitoring.
• Relevant certifications: AWS Certified Advanced Networking – Specialty CCNP/CCIE.
• CKA, CKS, CCSP ( optional and nice to have)
• Experience with cloud cost management tools (AWS Cost Explorer, Alicloud Cost Management) applied to variable workloads.

UEN:202329526G
EA Licence: 23S2061

As a System 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

·       Maintainand support on-premises clusters, including compute, storage, networking, andsystem configurations.

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

·       Monitorplatform 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.

·       AutomateDataOps 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

·       Degreei n Computer Science, Software Engineering, Data Science, or equivalent experience

·       2-5+years of hands-on experience in DevOps, Data Platform Engineering, orInfrastructure 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).

We are currently working with a leading technology-driven telecommunications organization that is scaling rapidly to support new digital initiatives and platforms. As part of this expansion, multiple roles are open across key functions to help build, maintain, and enhance next-generation solutions. This opportunity offers exposure to large-scale systems, innovative technologies, and a collaborative environment where skills and ideas make a real impact.

Responsibilities:

• Own the technical roadmap and architecture for enterprise Finance, Risk and Compliace Systems (FRCS) platforms.

• Lead integration design, technical delivery, and environment governance across ERP, EPM, GRC, and automation systems.

• Ensure system stability, performance, and compliance across all finance-related platforms.

Requirements:

• At least 8 years of experience in finance system integration, technical architecture, or ERP/EPM technical leadership.

• Expertise with SAP/Oracle integration, APIs, and middleware (MuleSoft, Boomi, CPI, etc.).

• Strong experience leading technical delivery for finance transformation or complex multi-system environments.

• Deep understanding of financial data structures, FRCS processes, and security/compliance requirements.

• Similar experience in an end-to-end data integrity across ERP, EPM, GRC, and reporting platforms, Compliance, audit-readiness, and risk management for FRCS systems.

• Able to collaborate between Finance, Risk, Audit, Technology, and vendors.

Role: Application Architect – AI Fintech

Location: Singapore

Job Type: Permanent

Our client is a leading fintech company specializing in AI-powered banking software solutions, delivering innovative products to financial institutions. They provide cutting-edge technology that enables seamless, secure, and efficient banking experiences.

Responsibilities:

• Design end-to-end application architectures for banking platforms
• Lead the integration of APIs, microservices, and cloud-based systems
• Translate business requirements into scalable technical solutions
• Collaborate with clients, product managers, and engineering teams
• Ensure reliable deployment across cloud and hybrid environments

Requirements:

• Bachelor’s or Master’s degree in Computer Science, or related field.
• 7+ years of experience in application architecture within banking technology
• Strong experience with APIs, microservices, and distributed systems
• Expertise in cloud platforms (AWS, Azure, or GCP)
• Strong client-facing and problem-solving skills
  

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: 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: 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

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