Total 2,254 firmware engineer job vacancies in Information Technology category in Singapore

Experience:

• Minimum 4–6 years of experience
• Strong experience in data cleaning and transformation using tools such as SQL, Python (Pandas), or R to ensure data accuracy and consistency.
• Hands-on experience in building and maintaining ETL/ELT pipelines using technologies like SSIS, AWS DMS, AWS Glue, Python, AWS Lambda, ECS, EventBridge, or Spring.
• Good knowledge of database design and experience working with databases such as PostgreSQL, MySQL, MongoDB, Cassandra, SQLite, Athena, and AWS S3.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience developing production-grade data pipelines and data integration solutions in big data environments.
• Understanding of system design, data structures, and algorithms.
• Familiar with data architecture concepts including Data Lakes, Data Warehouses, Data Marts, and Data Virtualization for efficient data storage and access.

Job 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 toenhance site efficiency and constructability.
• Manage design approval process and coordination with the clients, consultants andsubcontractors in a timely manner to resolve all technical issues.
• Ensure strict compliance of the design in accordance with contractual requirements.
• Identifies and highlight to management and project team of any potential risks or issues thatwill impact project performance.
• Support tender team and prepare technical tender documents as per specifications forbidding of civil and structural engineering projects as when assigned.

Requirements:

• PE Board Recognised Degree in Civil Engineering
• Min 1 year of design management experience with at least 2 years of design experience withD&B main contractor or consultancy firm
• Strong coordination and collaboration with other disciplines.
• Good interpersonal and communication skills.
• Good organization and time management skills.

Job Description

·      We are seeking a highly skilled Mobile Application Developer to be responsible for the full lifecycle of enterprise mobile applications—from translating high-fidelity Figma designs into intuitive mobile experiences to developing and supporting Java-based backend services. 

·      The ideal candidate will have strong expertise in React Native, iOS & Android development, and Java, with a passion for creating high-quality, user-centric mobile applications. 

Key Responsibilities 

·      Develop, test, and maintain high-performance cross-platform mobile applications using React Native for both iOS and Android.

·      Translate Figma wireframes, mockups, and prototypes into pixel-perfect, responsive, and interactive mobile interfaces. 

·      Collaborate closely with UI/UX designers to enhance user journeys and ensure compliance with platform-specific design guidelines, including: Apple Human Interface Guidelines Google Material Design Develop and maintain backend services using Java to support mobile application functionality and business logic. 

·      Design, develop, and consume RESTful APIs to enable seamless communication between frontend applications and backend systems. 

·      Troubleshoot and resolve bugs, performance bottlenecks, and application issues across both mobile and backend components. 

·      Optimize application performance, scalability, and maintainability. 

·      Participate in code reviews and ensure adherence to coding standards and best practices. 

·      Prepare and maintain technical documentation throughout the development lifecycle. 

Required Skills & Experience 

·      Top 3 Skills iOS & Android Mobile Development React Native Java Qualifications Bachelor's Degree in Computer Science, Information Technology, Software Engineering, or a related field. 

·      Proven experience developing cross-platform mobile applications using React Native. 

·      Strong knowledge of iOS and Android application development principles. 

·      Experience developing backend services using Java. Hands-on experience designing and integrating RESTful APIs. 

·      Familiarity with mobile application performance optimization and debugging tools. 

·      Experience working with Figma designs and translating them into production-ready applications. 

·      Preferred Attributes Strong understanding of UI/UX principles and mobile accessibility standards.

·       Excellent analytical and problem-solving skills. 

·      Self-motivated with strong ownership and accountability.

·       Effective communication and collaboration skills. 

·      Ability to work in a fast-paced and agile development environment. 

·      Eligibility Singapore Citizens only, due to client security and project requirements.

Job Summary

Role: Data Engineer

Start: ASAP

Duration: 12 Months

Location: Singapore

We are seeking an experienced Data Engineer with 6+ years of expertise in enterprise data warehouse (EDW), ETL/ELT development, and big data engineering. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines and frameworks across Teradata-based data warehouse environments and modern Hadoop ecosystem platforms.

This role requires strong hands-on experience in ETL development using Informatica PowerCenter, Teradata SQL, and Spark, along with deep exposure to data pipeline automation, performance tuning, and CDC (Change Data Capture) frameworks. The candidate will also contribute to building enterprise-grade data ingestion, transformation, and governance solutions supporting both structured and semi-structured data across complex enterprise systems.

Requirements:

- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

- Minimum 6+ years of experience in Data Engineering, ETL development, or Enterprise Data Warehouse environments.

- Strong hands-on experience in Teradata SQL and EDW/ETL development.

- Proven experience with Informatica PowerCenter for enterprise ETL development.

- Strong experience with Hadoop ecosystem technologies (Apache Spark, Hive, Kafka, NiFi, Iceberg, Impala, etc.)

- Strong expertise in performance tuning and optimization of large-scale data pipelines.

- Hands-on experience with shell scripting, BTEQ, and automation frameworks.

- Strong understanding of data pipeline orchestration and workflow automation.

- Experience with CDC (Change Data Capture) concepts, preferably with Java-based implementation.

- Experience building frameworks for data ingestion, transformation, and automation in enterprise environments.

- Strong understanding of data modeling, ETL design patterns, and data warehousing concepts.

- Experience working with enterprise systems such as SAP (Oracle) for data integration.

- Experience with Master Data Management (MDM) solutions including data validation and approval workflows.

- Strong analytical, problem-solving, and debugging skills.

- Experience working in Agile or enterprise-scale delivery environments.

Roles and Responsibilities:

- Design, develop, and maintain ETL/ELT processes using Teradata SQL, Informatica PowerCenter, Apache Spark, QueryGrid, and Trino.

- Build and optimize data pipelines to load and transform data into Teradata-based data warehouses and data marts.

- Develop and implement scalable data engineering frameworks to support end-to-end automation using GCFR, BTEQ, and shell scripting.

- Perform performance tuning and optimization of complex ETL jobs and data processing workflows to reduce resource consumption and improve efficiency.

- Build and maintain in-house CDC (Change Data Capture) frameworks using Java to process OLR logs from SAP (Oracle) systems and ingest data into Teradata.

- Design configurable and reusable CDC ingestion frameworks to support enterprise-wide data integration requirements.

- Develop and support Master Data Management (MDM) solutions for user data uploads, including data validation, enrichment, and approval workflows.

- Work with Hadoop ecosystem technologies including Hive, Impala, Spark, Kafka, Iceberg, NiFi, Ranger, Atlas, and Flink for data ingestion, processing, and governance.

- Implement data pipeline orchestration and scheduling mechanisms to ensure reliable and timely data delivery.

- Collaborate with business, analytics, and application teams to translate requirements into scalable data engineering solutions.

- Ensure data quality, consistency, and governance across enterprise data platforms.

- Support troubleshooting, root cause analysis, and production issue resolution for data pipelines and ETL processes.

- Continuously improve data engineering standards, frameworks, and automation capabilities.

Please send your application highlighting:

- Your relevant experience

- Current/expected salary

- Availability information

- A latest MS-WORD Resume

**We regret that only short-listed applicants will be contacted.**

GECO Asia values the data privacy rights of our customers, associates, partners and prospective applicants. We have a privacy policy that governs our collection and use of personal data in place. In conjunction with the PDPA act in Singapore, we have updated our Privacy Policy and Terms of Use to better clarify our collection and use of your personal information. The same can be found here (https://www.geco.asia/about/privacy-policy)

Note: GECO Asia is an Information Technology Consulting Services provider. We provide specialist IT and Digital Transformation specialist resources on a project (SOW) and/or permanent basis. We operate under a Comprehensive License offered by Ministry of Manpower, Singapore.

[GECO Asia Pte Ltd, License No. 07C4453]

[2 Venture Drive, #10-18 Vision Exchange, Singapore 608526]

Summary / Purpose of Position:

Collaborate with traders and researchers to design, develop, test, and support proprietary trading platform to capture opportunities in electronic capital markets.

Essential Duties & Responsibilities for this Position:

- Build and maintain robust, scalable, and low latency trading software

- Participate in collaborative discussions and problem solving with multiple stakeholders

- Help improve and evolve software design and maintenance workflows and practices

- Mentor team members and improve knowledge acquisition and sharing

Qualifications, Skills and Knowledge Required:

- Bachelor’s degree or equivalent in a STEP/STEM field such as computer science, engineering, mathematics, or physics.

- Expert knowledge of modern C++

- Working knowledge of Python

- Experience with test driven development and continuous integration

- Experience developing software for Linux

- Understanding of software design principles and algorithmic complexity

- Desire to solve complex and novel problems in a collaborative environment

- Strong sense of ownership and urgency

- Ability to communicate clearly with stakeholders

- Logical problem solver with the ability to quickly understand new and complex concepts

- Pragmatic self-starter with a flexible can-do mentality

To apply, please submit your CV to careers@fenix-one.com. Please note that only shortlisted candidates will be contacted.

Employment type - 1-year contract (Renewable)

Eligibility: Singaporean only

Role Overview

As a Data Engineer, you will design, build, and operate scalable, secure, and high-performance enterprise data platforms and ETL pipelines that enable analytics, reporting, and data-driven decision making. You will play a key technical role in delivering end-to-end data pipelines, analytics platforms, and integration solutions across hybrid and cloud environments, including Government Commercial Cloud (GCC) and MINDEF Commercial Cloud (MCC).

You will work closely with data and solution architects, business stakeholders, and infrastructure teams to translate requirements into robust, production-grade data solutions.

Job Responsibilities

1.     Data Engineering &Platform Design

·      Design and develop scalable and reliable data pipelines.

·      Build enterprise data platforms, including data warehouses, data lakes, and lake houses.

·      Implement cloud, hybrid, and on-premises data architectures aligned with enterprise standards.

2.     Data Integration &ETL/ELT

·      Lead ETL/ELT pipeline development with Talend as a core and highly preferred platform. Experience with other ETL/ELT tools will be considered.

·      Integrate structured, semi-structured, and unstructured data sources.

·      Implement and maintain data quality, validation, and error-handling frameworks.

3.     Storage & Data Management

·      Design and manage data storage solutions with a strong emphasis on object storage, data quality, and data governance.

·      Implement and maintain data lifecycle management and cost-optimization strategies.

·      Ensure data lineage, traceability, and auditability.

4.     Analytics Enablement& BI Integration

·      Engineer analytics-ready data models for reporting and self-service analytics.

·      Enable BI Dashboards, Reports, and analytics through performant and governed data pipelines.

5.     Security, Governance& Compliance

·      Ensure compliance with government security and privacy requirements.

·      Implement and maintain encryption, access controls, and secure data handling practices.

·      Implement and maintain security policies and procedures for the system

Job Requirements

Education - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

Core Technical Skills

• Strong hands-on data engineering experience
• Expertise in ETL/ELT with Talend (highly preferred)
• Experience with data warehouses, data lakehouses, data lakes, and object storage systems
• Qlik Sense Enterprise integration experience (highly preferred)
• Strong SQL and Python skills

Experience & Security Requirements

• Minimum 3+ years of experience in enterprise data engineering roles
• Prior CAT 1 / G50 security clearance(mandatory)
• Previous experience delivering MINDEF projects (mandatory)

We are seeking a motivated and detail-oriented Software Engineer to join our team. This is an exciting opportunity to work across the full development cycle, tackle complex challenges, and contribute to innovative projects that drive continuous improvement.

Responsibilities include but are not limited to:

1.    Participate in full project life cycle from requirements gathering to project implementation, maintenance and support.

2.    Responsible for program design, coding, testing and documentation.

3.    Develop secure, scalable and good quality application programs and API within allocated man days.

4.    Have a passion for delivering zero defect codes and be responsible for ensuring the support level meets the expected SLA.

5.    Participate in continuous integration activities and automation frameworks for testing and deployment.

6.    Any other duties or tasks assigned and required.

Requirements:

·       Diploma or Degree in Computer Science, IT or a related field.

·       At least 4 years of hands-on project experience in application maintenance and support.

·       Strong time management skills and able to collaborate effectively with stakeholders.

·       Excellent problem-solving abilities, strong communication skills and a fast learner.

·       Proficiency in C#, ASP.NET, Web services, SQL and IIS (.NET framework).

·       Proven experience in translating functional specifications into technical design.

·       Positive attitude and professional demeanour.

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

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail, and supply chain.

Job Overview

The Senior Cloud Engineer is responsible for designing, implementing, managing, and optimizing enterprise cloud infrastructure across public, private, and hybrid cloud environments. The role provides technical leadership in cloud architecture, virtualization, infrastructure automation, security, and operational excellence. The incumbent will lead cloud transformation initiatives, ensure the availability and performance of enterprise platforms, and provide expert-level support for complex infrastructure environments. The role also involves mentoring engineers, driving best practices, and collaborating with stakeholders to deliver scalable, secure, and resilient cloud solutions aligned with business objectives.

Key Responsibilities:

• Design, implement, and manage enterprise-grade cloud solutions across public, private, and hybrid environments

• Optimize cloud resource utilization, performance, scalability, and cost efficiency - Implement cloud security best practices and ensure compliance with industry standards

• Develop and maintain Infrastructure as Code and automation frameworks - Provide Level 3 and escalation support for complex cloud infrastructure issues

• Architect and manage VMware vSphere environments including ESXi, vCenter, and distributed switches - Administer and troubleshoot VMware and Nutanix hypervisor platforms - Manage virtual machine provisioning, migration, upgrades, and decommissioning

• Perform advanced troubleshooting of virtualization and cloud infrastructure issues - Optimize virtual machine performance and resource allocation

• Implement and maintain disaster recovery and business continuity solutions

• Lead capacity planning and infrastructure scaling initiatives - Provide expert-level support for Windows Server environments

• Install, configure, and manage Windows Server services including IIS and SQL Server - Administer Active Directory, Group Policy, DNS, DHCP, and identity management solutions

• Implement security hardening, vulnerability remediation, and patch management strategies - Troubleshoot complex issues across cloud and on-premises environments - Monitor system health, availability, and performance across enterprise platforms

• Implement proactive measures to improve system reliability and operational efficiency

• Conduct root cause analysis and implement preventive solutions - Manage incidents, problems, and changes in accordance with ITSM processes

• Ensure adherence to service-level agreements and operational standards - Participate in on-call support rotation for critical cloud services

• Plan and implement backup, restore, and disaster recovery strategies - Ensure high availability and continuous business operations

• Gather business and application requirements and perform cloud infrastructure design and analysis - Lead the design, testing, and implementation of cloud solutions aligned with technical specifications - Participate in cloud architecture reviews and technical design discussions

• Evaluate emerging cloud technologies and recommend adoption strategies - Lead cloud transformation and infrastructure modernization initiatives

• Collaborate with cross-functional teams to deliver integrated enterprise solutions - Provide technical consultation and advisory services to stakeholders and project teams - Develop and maintain technical documentation, SOPs, architecture diagrams, and cloud configurations

• Establish and enforce cloud governance, security standards, and best practices - Provide regular reporting on cloud health, performance, utilization, risks, and project status - Lead cloud migration, optimization, and platform enhancement projects

• Mentor junior engineers and provide technical leadership across cloud initiatives - Drive continuous improvement and operational excellence across cloud platforms - Deliver secure, scalable, and resilient cloud solutions aligned with organizational objectives

Qualifications

• Degree in Information Technology, Computer Science, Engineering, or related discipline

• Minimum 5–8 years of experience in cloud and infrastructure engineering

• Experience designing and managing enterprise cloud environments

• Strong knowledge of public, private, and hybrid cloud architectures - Hands-on experience with Microsoft Azure and Amazon Web Services

• Experience with VMware vSphere, ESXi, vCenter, and distributed switches

• Experience administering Nutanix hypervisor platforms

• Strong Windows Server administration experience

• Experience managing IIS and Microsoft SQL Server environments

• Proficiency in Active Directory, Group Policy, DNS, DHCP, and identity management solutions - Experience with Infrastructure as Code and automation technologies

• Knowledge of cloud security, governance, and compliance frameworks

• Experience implementing disaster recovery and business continuity solutions - Strong troubleshooting, analytical, and problem-solving skills

• Experience supporting enterprise-scale production environments

• Experience working with ITSM and change management processes - Experience leading cloud migration and modernization initiatives

• Knowledge of cloud-native architecture and platform services

• Experience supporting large-scale hybrid cloud environments - Familiarity with cloud monitoring and observability platforms - Experience in cloud cost optimization and governance

• Ability to evaluate emerging technologies and recommend adoption strategies - Strong stakeholder management and communication skills

• Proven ability to mentor and coach junior engineers

• Experience participating in enterprise architecture reviews - Ability to lead technical discussions and infrastructure planning activities

• Strong documentation and technical writing skills

• Experience working within multi-vendor enterprise environments - Experience with cloud automation and orchestration technologies

• Knowledge of enterprise backup and recovery solutions - Familiarity with infrastructure security and compliance requirements

• Experience implementing high-availability and resilient cloud architectures -

Certified:

• Azure Administrator Associate - AWS Certified Solutions Architect – Associate

• Understanding of enterprise infrastructure governance frameworks - VMware Certified Professional (VCP) - Microsoft

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to Aatiqashaikh@aven-sys.com Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name: Aatiqa Shaikh
Reg No: R1765546
Avensys Consulting Pte Ltd
EA Licence 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

We are seeking a highly skilled and experienced Software Developer to join our development team. In this role, you will be responsible for designing, developing, and maintaining high-quality software solutions, mentoring junior team members, and contributing to architectural decisions that drive innovation and scalability.

Key Responsibilities:

• Design, develop, test, and deploy scalable and robust applications.
• Lead complex software development projects from requirements to deployment.
• Collaborate with cross-functional teams including product managers, QA, and DevOps.
• Review code, mentor junior developers, and enforce best practices.
• Contribute to system architecture and technical design discussions.
• Identify performance bottlenecks and optimize application performance.
• Stay updated on emerging technologies and propose innovative solutions.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of professional software development experience.

• Proficiency in primary programming languages, e.g., Java, Python, C#, JavaScript].
• Solid understanding of software architecture, design patterns, and data structures.
• Experience with RESTful APIs, microservices, and cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with CI/CD pipelines and Agile development practices.
• Strong problem-solving skills and attention to detail.
• Excellent communication and interpersonal skills.

Preferred Qualifications:

• Experience in [insert industry-specific tools or frameworks, e.g., Spring Boot, .NET Core, React, Angular].
• Knowledge of containerization tools like Docker and orchestration platforms like Kubernetes.
• Experience working with databases (SQL and NoSQL).
• Prior experience leading small teams or projects is a plus.

Job Title: Systems Engineer (Computer)

Company: G-COOL M&E PTE LTD

Location: 8 Kaki Bukit Avenue 4, #04-02, Premier @ Kaki Bukit, Singapore 415875

Job Description

G-COOL M&E PTE LTD is seeking a motivated and technically competent Systems Engineer (Computer) to support the company's IT infrastructure and digital operations. The successful candidate will be responsible for maintaining computer systems, network infrastructure, software applications, and providing technical support to internal users.

Key Responsibilities

• Manage and maintain company computer systems, servers, and network infrastructure.
• Install, configure, and troubleshoot hardware, software, printers, and peripheral devices.
• Monitor system performance and ensure network security and data integrity.
• Provide technical support and training to staff on IT-related issues.
• Maintain backup and recovery procedures for business-critical data.
• Support cloud-based services, email systems, and collaboration platforms.
• Coordinate with vendors for procurement, maintenance, and system upgrades.
• Implement and maintain cybersecurity measures and IT policies.
• Prepare technical documentation, reports, and system inventories.
• Support digital transformation initiatives and business process automation.

Requirements

• Bachelor's Degree in Information Technology, Computer Science, Information Systems, or related field.
• Fresh graduates are welcome to apply.
• Knowledge of Windows operating systems, networking, and computer hardware.
• Familiarity with Microsoft 365, cloud services, and cybersecurity practices.
• Strong troubleshooting and problem-solving skills.
• Good communication and interpersonal skills.
• Ability to work independently and as part of a team.

Preferred Skills

• Knowledge of network administration and server management.
• Experience with database management and system integration.
• Familiarity with scripting or programming languages is an advantage.
• Understanding of IT support within engineering or construction environments will be beneficial.

Roles & Responsibilities

• Experience in handling support & installation for Finacle 10.x environments including troubleshooting and configuring new services
• Ability to take ownership of deliverables and engaging all stakeholders
• Proficient in N-tier architecture for Finacle, high availability concepts
• Proficient in writing SQL queries in Oracle/PostgreSQL for troubleshooting issues and preparing data for issue analysis and reporting
• Hands on with Unix/Linux commands
• Basic proficiency in Middleware technologies like WebSphere Application Server and JBOSS
• Hands on experience in automating some of the routine tasks in environment management
• Experienced in handling patching of Finacle, OS, MW and database components. Should be able to perform impact assessment and co-ordinate the tasks with various supporting units like OS support, DB support, Middleware support, etc.
• Familiar with environment maintenance tasks like source refresh across environments, data refresh across environments and familiar with CICD concepts

Requirements

• Finacle 11.x experience. Should have 6+ Years of Experience
• Knowledge of Kafka, Redis and PostgreSQL
• End to end setup experience in Finacle in versions 10.x or 11.x
• Production environment support and familiarity with change management process

About the Role

We are looking for a Streaming Data Engineer to design and build scalable real-time data pipelines and streaming data platforms. This role focuses on building high-throughput, low-latency data systems capable of processing large-scale event streams and enabling real-time analytics.

Key Responsibilities

1. Design and develop real-time streaming data pipelines

2. Build event ingestion systems using Kafka or similar messaging systems

3. Implement stream processing jobs using Flink / Spark Streaming

4. Develop scalable stream processing jobs

5. Build and optimize real-time analytical databases

6. Build and maintain data pipelines supporting both batch and streaming workloads

7. Support real-time dashboards and data APIs

8. Implement monitoring and alerting for streaming pipelines

9. Work closely with Data Scientists, Data Analysts, Backend Engineers, and Platform Engineers

What We’re Looking For

1. 3–6 years of experience in Data Engineering / Backend Engineering

2. Experience with real-time analytical databases (Starrocks / Clickhouse / Doris)

3. Experience with streaming data technologies (building distributed data systems)

4. Proficiency in Python / Java / Scala / SQL

5. Apache Kafka / Apache Flink / Spark Streaming

What We Offer

1. A collaborative and inclusive work environment.

2. Opportunities for professional growth and development.

3. The chance to play a pivotal role in shaping the future of our organization.

Employment type: 1-year contract (Renewable)
Location: Ang Mo Kio
Working Days/ Hours: Mon-Fri 8:30am to 6pm
Eligibility: Singaporean ONLY

Job Overview:

We are looking for a Technical Specialist with AI competencies to support the development and implementation of digital learning applications, including Learning Management Systems (LMS) and other learning technology platforms.

This role involves designing, integrating, and maintaining intelligent learning solutions that enhance user experience, personalize learning pathways, and improve platform capabilities through AI technologies. The ideal candidate will combine strong software engineering skills with knowledge of AI tools and technologies applied to learning environments.

Key Responsibilities:

Learning Application Development

• Develop, customize, and maintain learning applications such as Learning Management Systems (LMS) and other digital learning platforms.

• Support system implementation, configuration, and deployment of learning technologies.

• Ensure applications are scalable, secure, and aligned with system architecture standards.

AI Integration & Development

• Design and integrate AI-powered features into learning platforms, such as recommendation engines, chatbots, or adaptive learning tools.

• Work with AI frameworks and APIs to enhance learning analytics, learner engagement, and personalization.

• Explore and implement AI-driven solutions to improve content discovery, learner support, and performance tracking.

System Integration

• Integrate LMS platforms with other enterprise systems (e.g., HR systems, authentication systems, analytics platforms) using APIs and middleware.

• Ensure compatibility with e-learning standards such as SCORM, xAPI, or LTI.

Testing & Optimization

• Conduct system testing, debugging, and performance optimization for both application and AI components.

• Monitor platform performance and identify opportunities for improvement.

Collaboration

• Work closely with instructional designers, project managers, and product teams to translate learning requirements into technical solutions.

• Collaborate with data engineers and AI specialists to implement machine learning models and intelligent features.

Documentation & Support

• Maintain technical documentation for system architecture, integrations, and AI components.

• Provide technical troubleshooting and support during system implementation and deployment.

Skills & Experience Required

• Technical Skills: Experience in software development using Python, JavaScript, C#, or Java. Knowledge of HTML5, CSS, REST APIs, microservices architecture, and Learning Management Systems (LMS) or learning technology platforms. Hands-on experience with relational databases such as Microsoft SQL Server, MySQL, or PostgreSQL.
• AI & Data Competencies: Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience integrating AI APIs/services including NLP, recommendation engines, or chatbot frameworks. Understanding of learning analytics, data processing, and AI-driven personalization.
• Systems & Integration: Experience integrating enterprise systems through APIs or middleware. Understanding of cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with SCORM, xAPI, LTI, or other digital learning standards is advantageous.
• Soft Skills: Strong analytical, problem-solving, and communication skills, with the ability to translate technical concepts into practical solutions and work effectively in cross-functional teams.
• Systems Administration: Knowledge of user access management, data backup processes, and security protocols in cloud-based environments.
• Project Collaboration: Experience working with both technical and non-technical stakeholders in collaborative project environments.
• Attention to Detail: Ability to ensure configurations, customizations, and integrations meet required specifications and standards.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field
• Certifications: Relevant certifications in AI, cloud platforms, or software engineering are an advantage. (e.g., Machine Learning, AWS, Microsoft, LMS-specific certifications).
• Experience with Cloud-Based Systems: Experience with cloud platforms like AWS, Azure, or Google Cloud, particularly in the context of learning platforms
• Experience with SCORM/ xAPI: Familiarity with e-learning standards like SCORM, xAPI, and Tin Can API for tracking and reporting learning activities.
• Familiarity with Data Security: Knowledge of data security practices, especially as they apply to sensitive learning and employee data.