Total 3,556 software test engineer job vacancies in Information Technology category

Responsibilities

• Day to day escalation support for backend and cloud networks
• Prepare, maintain, and keep updated IT procedures and documentation related to our processes and platforms operations
• Collaborate with department personnel and design innovative solutions for all IT issues for all of the warehouse and corporate network technologies
• Ensure the company is adhering to information security best practices
• Maintain the hardware lifecycle and inventory management of all IT equipment and networks
• Sustain high-availability service levels and ensure fulfillment of business-wide service levels and operational support objectives.
• Lead individual contributor in IT infrastructure and security projects in designing and evaluating new technologies

Skills and Qualifications

• A minimum of 1 year of experience in enterprise network and technology field
• Possess a Bachelor’s degree or higher in the field of engineering, computer science or equivalent advance technology field of study
• Strong knowledge of and experience with design, implementation, maintenance, upgrades and operations of multiple enterprise IT network disciplines, such MPLS, SDWAN, networking, mobility, communication tools, and enterprise billing and collaboration systems.
• Strong working and practical knowledge of industry IT standards and regulations.
• Experience with change management lifecycle, development and regular preparation of management status and key metrics reports
• Ability to work with extremely technical staff working on very sensitive subject areas and with extremely sensitive information
• High level of personal integrity, with the ability to professionally handle confidential matters and exudes the appropriate level of judgment and maturity
• Must be a strong communicator with exceptional verbal and written communication skills to translate the vision and strategy into clear priorities and direction, both internally and externally.
• Solid fundamental knowledge and troubleshooting skills in the following DNS/DHCP/VPN/802.1x/Radius/SSL/PKI , Firewall/Switches/Routers, Azure/AWS Cloud networking, SDWAN, VOIP, Wireless, LAN/WAN routing protocols (BGP, OSPF, RIP)
• Experience in designing, deploying, and optimizing the below technologies (SaaS/Cloud based IT operations systems is a plus) High availability networks, SDN, Load balancing, Network monitoring
• Our ideal candidate would also possess experience managing and supporting systems and servers is a plus - Windows/Linux servers and storage, Active Directory or Azure Active directory, Virtualization platform

We're building an AI-powered research platform for institutional investors. Our platform turns vast amounts of market, alternative, and proprietary data into actionable intelligence — powered by AI agents that depend on clean, reliable, real-time data to do their job.

We need someone to own data. Not manage a team that does data. Own it — from finding the right sources, to getting them flowing, to making sure they stay healthy at scale.

Today we ingest from hundreds of sources. That number is growing fast. The sources are diverse: real-time market feeds, regulatory filings, news, social sentiment, alternative datasets, and proprietary client data. Some are free APIs. Some are $10K/month enterprise contracts. Some are clients pushing their own data into our platform. Every one of them is different, and most of them will break in ways you don't expect.

You'll evaluate vendors, negotiate deals, build integrations, monitor quality, track costs, and make the call on what's worth paying for. When something breaks at 2 AM, you'll know why before the alert finishes firing.

This is an end-to-end ownership role. No handoffs.

Responsibilities

• Build and maintain integrations with a large and growing number of external data sources — APIs, WebSockets, file drops, streams, scrapers, and formats you haven't seen yet
• Evaluate and compare data vendors across quality, reliability, coverage, cost, and terms of service
• Negotiate contracts and manage commercial relationships with data providers
• Design and operate high-throughput ingestion pipelines handling mixed workloads (real-time, near-real-time, batch, event-driven)
• Build monitoring that tells you — before anyone else — when data is late, wrong, incomplete, or drifting
• Manage data quality at scale: anomaly detection, cross-source validation, schema drift detection, gap filling
• Handle both structured data (time-series, tabular) and unstructured data (documents, text, images) with appropriate extraction and storage
• Track costs per source, usage per consumer, and ROI — recommend what to keep, upgrade, or cancel
• Build tooling that makes adding the next data source faster than the last one
• Use AI tools aggressively in your daily work — for code generation, testing, documentation, anomaly analysis, and anything else that makes you faster

Requirements

You've done this before:

• 5+ years building data pipelines that run in production, 24/7, with real SLAs
• Deep hands-on experience with SQL databases and time-series data
• Python as your primary language, comfortable with async programming
• You've integrated with dozens of external APIs and dealt with the reality of unreliable vendors, changing schemas, rate limits, and bad documentation
• You've built monitoring and alerting for data systems — not as an afterthought but as part of how you work

You think about the whole picture:

• You don't just connect to an API. You think about what happens when it goes down, when the schema changes, when the data is wrong, when the bill doubles
• You understand that data has a cost and a value, and not every source is worth keeping
• You've worked with data vendors commercially — contracts, pricing tiers, usage negotiations

You use AI daily:

• AI coding tools are part of your workflow today, not something you're curious about
• You can articulate specifically how AI makes you faster and where it doesn't help
• You'd be frustrated if you couldn't use AI in your work

Nice to have

• Experience with financial market data
• Experience with streaming systems (Kafka or similar) at scale
• Vector database or embedding pipeline experience
• Experience with unstructured data extraction (PDFs, documents, NLP)

Perks & Benefits

• Senior individual contributor role with full ownership of the data domain
• Direct access to leadership — no bureaucracy, fast decisions
• AI tools provided and encouraged across all work
• Remote-friendly, async-first
• Compensation commensurate with experience

Job Description: 

1) Provide technical support and maintenance for mainframe tools including JOBSCAN, ChangeMan SCM and IBM ADFz bundle products such as FILE MANAGER & DEBUG Software

2) Support the transition from ChangeMan to IBM ADFz bundle products

3) Configure and maintain Software Configuration Management (SCM) systems

4) Design and implement CI/CD pipelines for mainframe applications

5) Troubleshoot and resolve technical issues related to mainframe development tools

6) Collaborate with development teams to ensure smooth application delivery

7) Document processes, procedures and system configurations

8) Any other tasks related to software tool administration and maintenance as assigned

Working Experience and Skill Requirement:

1) Minimum 3 years of relevant working experience in technology related to above mentioned software is preferred

2) Hands-on experience with ChangeMan SCM, including configuration management and version control is preferred

3) Proficiency in COBOL, JCL, and DB2

4) Strong knowledge of mainframe development tools and technologies

5) Experience in scripting using REXX, JCL or similar mainframe scripting languages

6) Demonstrated problem-solving and analytical skills

Key Responsibilities

• Develop and implement data analytics solutions to convert raw structured and unstructured data into meaningful insights.
• Apply data mining, data modeling, machine learning, and natural language processing (NLP) techniques to solve business challenges.
• Design and maintain scalable data pipelines, ETL processes, and data platforms to ensure data quality, accessibility, and reliability.
• Build dynamic dashboards, reports, and visualizations to communicate key findings and support decision-making.
• Establish data governance frameworks, data standards, metadata management, and asset catalogs to improve data consistency and compliance.
• Collaborate with cross-functional stakeholders to deliver data-driven solutions and optimize business processes.
• Evaluate emerging AI technologies and implement innovative solutions that enhance operational efficiency and business performance.

Preferred Qualifications

• Master's degree or above in Computer Science, Data Science, Engineering, Statistics,  Business Analytics or a related field.
• Proven experience in Data Engineering, Data Analytics, Machine Learning, AI Applications, or Data Governance.
• Strong proficiency in SQL, Python, and data visualization tools such as Tableau or Power BI.
• Experience building ETL pipelines, data lakes, APIs, and large-scale data platforms.
• Solid understanding of machine learning, predictive analytics, data modeling, and NLP techniques.
• Excellent analytical, problem-solving, and stakeholder management skills.

Interested candidate please click "APPLY" to begin your job search journey.

We regret to inform that only shortlisted candidates will be notified.

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PERSOL Singapore Pte Ltd

•RCB No. 200007268E • EA License No. 01C4394

•Registration ID: Heah Sian Wei R23117518

Details:
1 Year Renewable Contract

Duties:

• Manage and support enterprise network infrastructure including routers, switches, firewalls, and load balancers in 24x7 production environments.
• Install, configure, and maintain network hardware and software; manage user access, permissions, and authentication systems.
• Ensure high availability, resilience, and performance through routine health checks, monitoring, and capacity planning.
• Design, implement, and manage connectivity between on-premise data centres and cloud environments.
• Support cloud VPC architecture, VPN (Site-to-Site / Client), and Direct Connect integration.
• Troubleshoot hybrid connectivity issues across cloud and on-premises environments, coordinating with telecom providers as needed.
• Configure and manage firewalls, security groups, NACLs, network segmentation, and zoning.
• Implement security best practices aligned with regulatory standards and PCI DSS requirements where applicable.
• Collaborate with the security operations team on vulnerability remediation, system hardening, and incident response.
• Monitor network performance using tools such as SolarWinds, PRTG, CloudWatch, or equivalent platforms.
• Analyse traffic patterns, latency, and throughput; proactively identify and resolve performance bottlenecks.
• Investigate and resolve network outages, connectivity issues, latency, and packet loss in coordination with cloud teams, telcos, and third-party contractors.
• Participate in major incident management processes and contribute to root cause analysis (RCA).
• Implement network changes in accordance with change advisory board (CAB) processes; support deployments requiring network configuration updates.
• Perform validation testing and rollback planning for all changes.
• Manage network connectivity with external partners, payment gateways, and telecommunications providers.
• Coordinate vendor provisioning, troubleshooting, and performance optimisation; monitor connectivity health post-provisioning.
• Design and maintain network redundancy, failover mechanisms, and disaster recovery (DR) configurations.
• Participate in DR exercises and validate failover readiness.
• Maintain up-to-date network diagrams, configurations, SOPs, and operational runbooks.
• Identify and recommend improvements for network performance, security, and scalability.
• Provide after-hours support for incidents, scheduled maintenance, firmware/software updates, and critical network changes.

Requirements:

• Diploma or degree in Computer Science, Information Technology, Engineering, or equivalent.
• Minimum 3 years of experience in network engineering or operations, supporting enterprise or mission-critical hybrid environments.
• Hands-on experience with AWS networking services including VPC, subnets, route tables, security groups, NACLs, VPN, and Direct Connect; exposure to Azure or GCP is an advantage.

Interested Applicants, please click Apply Now

Chow Zi Qing

R2199258

RevUp Proservices Pte Ltd

EA.24C2366

• Analyze business and regulatory requirements and translate them into scalable solution designs.
• Perform detailed effort estimation for projects and change requests.
• Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner
• Review and approve test strategies, functional test cases, and data validation approaches.
• Ability to design data architectures supporting NLP and AI‑driven analytics, including ingestion, curation, and governance of unstructured data within Data Lake, Data warehouse platforms.
• Experience translating business and compliance requirements into NLP‑enabled analytical use cases, such as: Text classification and categorization, Entity extraction, Risk indicator identification, Summarization of alerts, cases, or documents
• Ability to translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use cases

Job description

Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Additional job description

As the Software Engineering Manager for the newly formed software engineering team within the Cloud & Third-Party Security team in Singapore, you will be a foundational lead for our new, high-impact software engineering team. You will act as a technical leader to hire and manage software engineers and work cross-functionally with stakeholders across Google to enable achieving our risk reduction goals.

Qualifications

Job responsibilities

• Build and lead a team of software engineers, combining technical leadership and people management to build scalable products that identify and remediate security gaps in Alphabet's usage of public cloud infrastructure, third-party vendors, and SaaS.
• Drive the technical roadmap to support risk reduction goals by addressing ambiguous problems, identifying future work, and ensuring technical excellence and manageable complexity.
• Oversee engineering projects, drive key architectural decisions and influence strategies across partner security and software engineering teams while building strong collaborations.
• Partner with cross-functional roles (e.g., Security Engineers, TPMs) to define requirements and implement systems that enable the rollout of controls to reduce the risk of undermanaged cloud and third-party vendor usage.
• Cultivate a high-performing engineering culture by overseeing staffing, driving professional growth through mentorship, and leading career development and performance management initiatives.
  

Minimum qualifications

• Bachelor’s degree, or equivalent practical experience.
• 8 years of experience programming in Java, Python, Golang, C++ or equivalent codebases.
• 3 years of experience building software for data privacy or security (e.g., identity and access management).
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience in a people management or team leadership role.
• Ability to present complex technical concepts to technical and non-technical audiences.
• Strong ability to partner with global stakeholders to align team goals with broader organizational objectives.
• Ability to deliver against product deliverables in ambiguous environments.
• Proven track record of managing an engineering team, with a strong background in relevant security domains, particularly in cloud infrastructure and third party security controls.

Our client is a one of the leading players in the Industrial Manufacturing industry. Due to business needs, they are now recruiting a Application Engineer to be part of their Sales team to support their business needs. They are located in the East - easily accessible.

Job Responsibilities of Application Engineer:

• Evaluate technical requirements of sales opportunities and recommend suitable product solutions
• Advise customers on product selection for standard and specialized applications
• Review customer specifications to assess feasibility and solution fit
• Prepare and support technical proposals for standard, modified, or custom solutions
• Provide product training and technical presentations to customers
• Offer on-site support including product selection, installation guidance, and troubleshooting
• Handle and resolve technical complaints effectively
• Support marketing activities such as trade shows, promotions, and technical content development
• Gather customer feedback to support product improvements and new product development
• Assist in product launches and product line optimization initiatives
• Build and maintain strong relationships with internal and external stakeholders
• Coordinate projects and ensure clear communication across teams
• Apply structured problem-solving and process management tools

Requirement

• Degree in engineering field
• 5-10 years of application engineer experience in industrial manufacturing sector
• Comfortable with overseas travelling

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.
We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.
EA License No. 19C9682
EA Reg. No. R2198636 (Oh Puey Xin)

Responsibilities :

• Support the technical team and construction team for all design matters.
• Review all technical documentation and drawings of the Project works.
• Work closely with consultant on the scope of services, design and project deliverables to enhance site efficiency and constructability.
• Manage design approval process and coordination with the clients, consultants and subcontractors in a timely manner to resolve all technical issues.
• Ensure strict compliance of the design in accordance with contractual requirements.
• Ensure the distribution of all the approved and latest drawings and other relevant documents to the relevant parties
• Prepares shopdrawings with in-house BIM team and/or subcontractors and obtains approval in advance to site installation dates
• Raises queries to Client or handles Client's clarification on technical requirements pertaining to the Project works.
• Identifies and highlight to management and project team of any potential risks or issues that will impact project performance.
• Prepares and presents design progress status and slides to management, project team and Client as and when required.
• Strong coordination and collaboration with other disciplines (i.e. Architectural, MEP, BIM, etc( on design to ensure delivery of high quality outcome.
• Support tender team and prepare technical tender documents as per specifications for bidding of civil and structural engineering projects as when assigned.
• Attends Progress Meetings, Technical Meetings, Coordination Meeting, Site Meetings, etc.

Requirements :

• PE Board Recognised Degree in Civil Engineering
• Minimum 5 years of design management experience with at least 3 year of design experience in consultant firm.
• Strong coordination and collaboration with other disciplines.
• Good interpersonal and communication skills .
• Good organization and time management skills.

Our client is a one of the leading players in the Industrial Manufacturing industry. Due to business needs, they are now recruiting a Application Engineer to be part of their Sales team to support their business needs. They are located in the East - easily accessible.

Job Responsibilities of Application Engineer:

• Evaluate technical requirements of sales opportunities and recommend suitable product solutions
• Advise customers on product selection for standard and specialized applications
• Review customer specifications to assess feasibility and solution fit
• Prepare and support technical proposals for standard, modified, or custom solutions
• Provide product training and technical presentations to customers
• Offer on-site support including product selection, installation guidance, and troubleshooting
• Handle and resolve technical complaints effectively
• Support marketing activities such as trade shows, promotions, and technical content development
• Gather customer feedback to support product improvements and new product development
• Assist in product launches and product line optimization initiatives
• Build and maintain strong relationships with internal and external stakeholders
• Coordinate projects and ensure clear communication across teams
• Apply structured problem-solving and process management tools

Requirement

• Degree in engineering field
• 5-10 years of application engineer experience in industrial manufacturing sector
• Comfortable with overseas travelling

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.
We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.
EA License No. 19C9682
EA Reg. No. R2198636 (Oh Puey Xin)

Looking to expand our network team with an experienced Network Engineer.

Senior Network Engineer should have worked with :

• Enterprise level Network Experience
• Network Architecture Experience
• Hands on L1, L2, and L3 work experience within data centers.
• Perform Troubleshooting activity with various customers, and at data centers. (also able to run cables to test network connectivity)
• networks hands on experience is a must.
• Project management skills required on managing timeline, and working with Operation Team on scheduling and deadlines, as well as customers on their requirements and their timeline.

Requirements.

• Degree holder welcome.
• Renumeration based on experience.
• Outdoor work and overtime work may be required when needed.
• all other network professional papers and certifications would be a bonus
• 8 to 10 years of working in network architecture environment.

Job Descriptions:

Sales & Business Development

• Support for business development activities. Build networks, cultivate business relationships with customers and business partners, to identify business opportunities in Singapore and ASEAN region.
• Support Sales Manager to develop and execute strategies to drive business in new and existing markets, acquiring new customers and establishing relationships.
• Conducts due diligence and make proposals for prospective business partners and solutions.
• Conduct market research and relevant analysis (example 3C) to have a better grasp on market and for decision-making purposes.
• Conduct needs analysis to understand customers’ challenges and recommend suitable solutions.
• Assist in managing the entire sales cycle, including proposal preparation, pricing, negotiation, and contract finalization.

Technical Solution & Collaboration

• Providing pre-sales technical support/expertise to assist sales effort
• Deliver in-depth presentations and product demonstrations to customers.
• Onsite support for robotic or automation project deployment.
• Support customers for after-sales activities.
• Provides technical direction for system repair and maintenance.

Requirement:

• Bachelor’s Degree or Professional Degree in Mechanical, Electrical, Mechatronics, Robotics and/or Business or equivalent.
• 2–4 years of sales/business development experience, preferably in robotics, automation, or industrial solutions.
• Strong understanding of robotic applications (e.g., mobile robots, robotic arms, automation integration).
• Technical acumen with the ability to bridge client needs and engineering solutions.
• Customer-centric mindset with a focus on long-term partnerships.
• Proven knowledge and execution power to bring successful development strategies.
• Knowledge of the latest market and business trends is also imperative while developing business strategies to penetrate the new market.
• Data analytics skill for decision making.
• Excellent communication, presentation, and relationship-building skills.
• Overseas travel may be necessary from time to time to support business requirements.

Please note that only shortlisted candidates will be contacted, thank you.

Tech Grid Asia Pte. Ltd

EA Licence Number: 24C2582

Personnel Registration Number: R1109826

Responsibilities

• Develop and maintain ETL/ELT pipelines using Python, PySpark, and SQL.
• Build and support batch and real-time data processing solutions.
• Integrate data from multiple sources and ensure data quality and reliability.
• Monitor, troubleshoot, and optimize data pipelines and workflows.
• Collaborate with business, analytics, and technology teams to deliver data-driven solutions.
• Support cloud-based data platforms and data warehousing initiatives.
• Develop automation and monitoring solutions to improve operational efficiency.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• 3+ years of Data Engineering or ETL development experience.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Hadoop, Spark, Kafka, or similar big data technologies.
• Knowledge of data warehousing and data modeling concepts.
• Experience with cloud platforms such as Azure Data Factory, Azure Synapse, Databricks, or Azure Data Lake.
• Strong problem-solving and stakeholder management skills.

Technical Skills

• Experience with Apache Flink or real-time streaming technologies.
• Exposure to Power BI, Tableau, Qlik, or other BI tools.
• Familiarity with AI/LLM frameworks such as LangChain, LangGraph, or RAG solutions.
• Experience within banking, financial services, or large enterprise environments.
• Tech Stack: Python, PySpark, SQL, Hadoop, Spark, Kafka, Azure, Databricks, Power BI/Tableau.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: andrechua@recruitexpress.com.sg

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Responsibilities

• Develop and maintain ETL/ELT pipelines using Python, PySpark, and SQL.
• Build and support batch and real-time data processing solutions.
• Integrate data from multiple sources and ensure data quality and reliability.
• Monitor, troubleshoot, and optimize data pipelines and workflows.
• Collaborate with business, analytics, and technology teams to deliver data-driven solutions.
• Support cloud-based data platforms and data warehousing initiatives.
• Develop automation and monitoring solutions to improve operational efficiency.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• 3+ years of Data Engineering or ETL development experience.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Hadoop, Spark, Kafka, or similar big data technologies.
• Knowledge of data warehousing and data modeling concepts.
• Experience with cloud platforms such as Azure Data Factory, Azure Synapse, Databricks, or Azure Data Lake.
• Strong problem-solving and stakeholder management skills.

Technical Skills

• Experience with Apache Flink or real-time streaming technologies.
• Exposure to Power BI, Tableau, Qlik, or other BI tools.
• Familiarity with AI/LLM frameworks such as LangChain, LangGraph, or RAG solutions.
• Experience within banking, financial services, or large enterprise environments.
• Tech Stack: Python, PySpark, SQL, Hadoop, Spark, Kafka, Azure, Databricks, Power BI/Tableau.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: andrechua@recruitexpress.com.sg

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

We are seeking an L2 Application Support Engineer to provide production support for core banking applications. The successful candidate will be responsible for incident management, troubleshooting, monitoring, and ensuring the stability and availability of business-critical applications.

Key Responsibilities

• Provide Level 2 support for production applications.
• Investigate, troubleshoot, and resolve application incidents and service requests.
• Monitor application performance and batch processing activities.
• Support end-of-day (EOD) and beginning-of-day (BOD) operational processes.
• Execute job restarts and validate processing outcomes when required.
• Perform data validation and troubleshooting using SQL queries.
• Assist with root cause analysis and implementation of corrective actions.
• Support deployment activities and rollback procedures when necessary.
• Maintain operational documentation, runbooks, and support procedures.
• Collaborate with application development, infrastructure, and business teams to resolve issues.
• Prepare operational reports and maintain accurate records of support activities.

Requirements

• 1 to 9 years of experience in application support, production support, or related IT support functions.
• Knowledge of Java, JavaScript, and SQL.
• Understanding of application monitoring and incident management processes.
• Familiarity with batch processing and job scheduling activities.
• Strong analytical and problem-solving skills.
• Good written and verbal communication skills.
• Proficiency in Microsoft Word, Excel, and PowerPoint.

Preferred Qualifications

• Experience supporting banking or financial services applications.
• Knowledge of middleware technologies and API integrations.
• Experience working in a production support environment.
• Exposure to core banking systems is advantageous.

EA Number: 11C4879