Total 1,420 software architect job vacancies in Information Technology category

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.

The impact you'll have:

Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. For instance, you might work on challenges such as:

• Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way

• Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers

• Build tools to allow Databricks engineers to operate their services across different clouds and environments

• Build services, products and infrastructure at the intersection of machine learning and distributed systems.

What we look for:

• BS (or higher) in Computer Science, or a related field

• 5+ years of production level experience in one of: Java, Scala, C++, or similar language

• Experience developing large-scale distributed systems

• Experience working on a SaaS platform or with Service-Oriented Architectures

• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes

• Experience with security and systems that handle sensitive data

• Good knowledge of SQL

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.

We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark™, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform).

Below are some example teams you can join:

Data Science and Machine Learning Infrastructure: Build services and infrastructure at the intersection of machine learning and distributed systems. Our technology empowers the flagship collaborative workspace, notebooks, IDE integrations, and project management products. We also enable machine learning at scale with tools for environment management, distributed training, and managing the Machine Learning lifecycle through MLflow.

Compute Fabric: Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way. The software manages millions of virtual machines.

Data Plane Storage: Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.

Enterprise Platform: Offer a simple and powerful experience for onboarding and managing all of their data teams across 10ks of users on the Databricks platform. We do this by building reliable, scalable services and infrastructure with intuitive UIs and by delivering high-impact, cross-cutting projects that drive the "land and expand" strategy for enterprise customers.

Observability: Provide a world class platform for Databricks engineers to comprehensively observe and introspect their applications and services. We build scalable data-intensive infrastructure that processes huge amounts of logs and telemetry. By doing so, we enable teams to become more data-driven and build robust services.

Service Platform: Build high-quality services and manage the services in all environments in a unified way. We provide engineers libraries, tools, services and guidance to develop reliable, scalable, and secure services. We build a unified platform for engineers to deploy and update their services across different clouds and environments.

Core Infra: Build the core infrastructure that powers Databricks, making it available across all geographic regions and Cloud providers. We build highly available distributed systems, heavily utilizing cloud native projects, contributing back whenever possible. We run thousands of Kubernetes clusters across all regions and orchestrate millions of VMs on a daily basis.

Competencies:

• BS/MS/PhD in Computer Science, or a related field

• 10+ years of production level experience in one of: Java, Scala, C++, or similar language

• Comfortable working towards a multi-year vision with incremental deliverables

• Experience in architecting, developing, deploying, and operating large scale distributed systems

• Experience working on a SaaS platform or with Service-Oriented Architectures

• Good knowledge of SQL

• Experience with software security and systems that handle sensitive data

• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes

Job Description

We are looking for an experienced Test Engineer to ensure the delivery of high-quality, reliable, and secure software solutions. In this role, you will design and execute test strategies across the development lifecycle, working closely with developers and stakeholders in an Agile environment.

Responsibilities

• Design, develop, and execute test strategies, plans, and test cases across the Agile lifecycle
• Create test cases based on acceptance criteria to ensure features meet quality standards
• Perform both manual and automated testing across functional, integration, system, and UAT stages
• Contribute to test automation and continuous testing initiatives using relevant tools and frameworks
• Identify, document, and track defects through to resolution
• Collaborate with developers to troubleshoot issues and verify fixes
• Work closely with product owners and teams to ensure quality in every sprint
• Support UAT activities including preparation of test evidence and validation
• Maintain proper documentation of test results, logs, and reports
• Produce clear and structured test plans, test cases, and defect reports

Requirements

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience)
• At least 5 years of experience in software testing or quality assurance within Agile environments
• Strong experience in both manual and automated testing
• Familiarity with testing types including unit, integration, system, and UAT
• Experience with automation tools such as Selenium, Cypress, JUnit, TestNG, or similar
• Understanding of Agile methodologies and CI/CD-based testing practices
• Strong collaboration skills with developers, analysts, and business stakeholders
• Excellent attention to detail in writing test plans, test cases, and defect reports

(EA Reg No: 20C0312)
Please email a copy of your detailed resume to chally@talentsis.com.sg
for immediate processing.
Only shortlisted candidates will be notified.

Your Mission

This position will be responsible for driving strategic direction and operational excellence for our Software Defined Factory (SDF). This is a great opportunity to apply your talent in software QA, testing the CI/CD pipeline and DevOps. The ideal candidate will have strong programming skills in with expertise with modern testing frameworks like Selenium, Playwright, & deep experience with CI/CD pipeline integration.

What To Expect

[Technical DevOps]

• Establish and enforce robust testing frameworks, combining manual and automated testing to ensure product quality, compliance, and reliability.
• Design and develop automated test scripts that validate functionality without manual intervention
• Build and maintain automated test suites using  modern frameworks (Selenium, Playwright etc)
• Execute comprehensive QA tests across databases, networks, applications, systems, & software
• Perform regular automated testing cycles and regression tests as part of CI/CD pipeline processes
• Create test data setup and cleanup scripts for testing environments
• Champion risk-based testing methodologies to proactively identify vulnerabilities, mitigate risks, and prevent defects early in the development cycle.
• Work closely with development, DevOps, and operations teams to integrate testing seamlessly into CI/CD pipelines and across the software development lifecycle (SDLC).

[Process Improvement & Analysis]

• Locate bugs and quality issues across business, development, and service-level IT processes
• Review test results and document any defects found during testing
• Present quality metrics and testing reports to stakeholder teams

[Technical Implementation]

• Drive innovation in QA by implementing AI-driven test automation, predictive analytics, and modern verification strategies to boost testing efficiency and accuracy.
• Define and configure automation tools and frameworks to enhance testing capabilities, maintain and optimize existing tools
• Develop performance and load tests to validate system scalability

[Documentation & Standards]

• Create comprehensive test plans and automation guidelines
• Establish testing best practices across development teams
• Update test documentation to reflect current processes and procedures
• Ensure compliance and security testing requirements are met through automation

[General]

• Work and collaborate with development teams, DevOps team members during agile sprint planning to manage and identify testing QA requirements. 
• Participate in agile ceremonies including stand-ups, retrospectives, and sprint planning
• Coordinate with product owners/end users to validate requirements and acceptance criteria
• Partner with infrastructure teams to optimize test environment management
• Mentor development teams on automation best practices and conduct training sessions

What You'll Bring

• 4+ years of hands-on experience in quality assurance, testing methodologies, and system validation.
• 3+ years experience with CI/CD pipelines and automated testing integration, and testing tools (Jira, and other SaaS products)
• Strong understanding of Agile, DevOps, and CI/CD practices, including test automation frameworks and tools.
• Strong programming skills in Python, Java, JavaScript, or C#
• Experience testing across multiple technology stacks (databases, networks, applications, etc.)
• Familiarity with public cloud platforms (AWS) for development & testing environments
• Experience with modern front end and back end development (React, Angular, Node.js) and/or PTC Thingworx or similar platforms
• Experience designing and architecting cloud-based data pipelines and micro services
• Experience with databases & relational databases (PostgreSQL, MySQL)
• Experience with containerization (Docker) and serverless architecture
• Knowledge of Infrastructure-as-Code (IaC) & Ansible
• Strong knowledge of automation frameworks to enhance development workflows
• Strong understanding of security best practices and testing principles

Company’s Profile:

Our client is an international technology and engineering company that specialises in providing innovative digital and security solutions to their esteemed clients. They are looking out for Software Engineers to join their team and contribute to their ongoing success.

Job Responsibilities:

• Design and develop end-to-end solutions that meet functional requirements, including specifications, testing, and implementation.
• Perform impact analysis on issues and contribute to continuous improvement of development practices, tools, and processes.
• Participate in UX activities such as user research, storyboarding, wireframing, prototyping, and creating visual assets and style guides.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Proficient in languages like Java, JavaScript, C#, Python, or C/C++
• Solid understanding of OOP and design patterns
• Experience with web frameworks (e.g., React, Angular, Spring, Django)
• Familiar with relational (MySQL, PostgreSQL) and NoSQL (MongoDB) databases
• Knowledge of Git and version control practices
• Exposure to cloud platforms (e.g., AWS, Azure) is a plus

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to chally@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

Job Summary

Reporting to senior leadership, we are seeking an experienced Software Development Manager (AI-focused) to lead our AI and software engineering teams in building, deploying, and scaling production-grade, machine learning-driven multimodal AI solutions. This role oversees the end-to-end acquisition, development, and delivery of AI-centric software systems across all organizational units, ensuring solutions are high-quality, scalable, secure, and aligned with our business innovation and AI product roadmap. You will lead technical strategy, drive engineering excellence, and manage cross-functional initiatives to deliver industry-leading AI products.

Key Responsibilities

1. Lead and manage the AI software development team on a daily basis, setting clear goals, priorities, and performance expectations.
2. Plan project timelines, allocate resources effectively, and ensure on-time, on-budget delivery of AI software solutions and product initiatives.
3. Participate in system architecture design and key technical decisions for AI/ML systems, multimodal model deployment, and distributed AI platforms.
4. Drive continuous process improvements, including scaling Agile/Scrum, DevOps, MLOps, and CI/CD practices across the engineering organization.
5. Collaborate closely with product, design, QA, data science, and research teams to align technical delivery with product and business objectives.
6. Monitor project progress, quality, and risks proactively, implementing corrective actions to mitigate issues and ensure delivery excellence.
7. Recruit, mentor, and develop high-performing team members, fostering career growth and technical excellence within the engineering organization.
8. Cultivate a high-performing, inclusive, and positive team culture that prioritizes innovation, quality, and continuous learning.
9. Oversee the acquisition and development of AI software systems across all organizational units, ensuring consistency with technical standards and security best practices.
10. Monitor the results, performance, and quality of all AI software solutions and projects implemented within the organization, driving data-driven improvements.
11. Oversee the end-to-end development of Proof-of-Concept (PoC) initiatives and AI solutions, validating technical feasibility and business value for production scaling.
12. Provide deep technical expertise on software and platform feature development for AI systems, ensuring that appropriate security, compliance, and risk factors are fully addressed in all development work.

Qualifications

1. Master’s degree or higher in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies), or a related engineering/technology faculty.
2. Experience Requirement: Minimum 5+ years of hands-on software development experience, with at least 2+ years of formal team management experience leading software engineering teams.
3. Technical Proficiency: Strong proficiency in mainstream programming languages (e.g., Python, Java, Go, C++) and modern software development tools, cloud platforms (AWS/GCP/Azure), and distributed systems.
4. AI/ML Expertise: Demonstrated experience building, deploying, and scaling AI/ML systems, large language models (LLMs), or multimodal AI solutions in a production environment.
5. System Architecture Expertise: Strong system design and architecture capabilities, with a proven track record of designing scalable, secure, and resilient AI software platforms.
6. Agile & DevOps Mastery: Deep familiarity with Agile methodologies (Scrum/Kanban), DevOps, MLOps, and CI/CD practices for enterprise software development.
7. Cross-Functional Leadership: Excellent communication, stakeholder management, and cross-functional collaboration skills to align technical and business teams.
8. Analytical & Problem-Solving Skills: Strong analytical, problem-solving, and decision-making abilities to resolve complex technical and operational challenges.
9. Preferred Qualifications: Experience with large-scale distributed systems, AI model deployment, cloud-native architectures, or enterprise AI product development is highly preferred.

Key Competencies

• Leadership and high-performing team management
• Deep technical breadth and depth in AI software development
• Results-driven, delivery-focused mindset
• Exceptional communication, coordination, and stakeholder management skills
• Strategic thinking and ability to align technical work with business goals

Job Responsibilities:

1. Strategic Engineering Leadership & Architectural Vision

● Orchestrate Technical Strategy: Define and champion the long-term technical roadmap for the Mobility Backend and Customer Interface departments, ensuring scalability, security, and resilience.

● Web & Full-Stack Excellence: Drive the strategy for our web ecosystem, overseeing modern, scalable frontend architectures built on React.js and robust, typed service layers using Nest.js.

● Mobile Ecosystem Excellence: Lead the strategy for native mobile development, overseeing high-performance applications built on Kotlin (Android) and Swift (iOS).

● Data Architecture & Management: Oversee a robust data strategy utilizing PostgreSQL for relational integrity and Redis for high-performance caching.

● Data Insights & Analytics: Drive the integration of BigQuery for large-scale data warehousing, enabling the business to derive actionable insights.

● Technical Mentorship: Lead and develop a high-performing team of Engineering Heads, conducting deep-dives into code quality and system design across Java, EKS, Kafka, and Microservices.

2. Delivery Excellence & Observability Culture

● Tactical Execution: Direct the operational "engine room" of the division. You own the mission-critical milestones, ensuring sprints and releases are executed with surgical precision.

● Drive Full-Stack Observability: Establish and enforce a comprehensive Observability Stack (e.g., Prometheus, Grafana, ELK, or Datadog) to ensure system visibility across backend, web, and mobile.

● Digital Experience Monitoring: Champion the use of Fullstory to bridge the gap

between technical performance and user experience.

● Agile Transformation: Drive the Scrum-of-Scrums cadence, fostering a culture of accountability and continuous improvement.

3. Stakeholder Engagement & Strategic Communication

● Executive Presentation & Storytelling: Develop and deliver high-impact presentations to the Board, C-suite, and Management committees. You must be able to translate complex technical roadmaps and "tech debt" into clear business value and ROI.

● Strategic Partner Influence: Act as the technical face of the organization when engaging with external partners, integration vendors, and industry stakeholders. Use persuasive presentation skills to align interests and secure high-value collaborations.

● Global Delivery Models: Manage Offshore Development Center (ODC) partners with a focus on rigorous resource planning and performance KPIs.

● Business Translation: Maintain strong communication channels with key business stakeholders (CSO, Marketing, B2B, etc.), translating business needs into technical deliverables.

4. Strategic PMO & Financial Governance

● Executive Oversight: Provide leadership to the PMO function, ensuring tactical delivery aligns with long-term financial cycles and budget constraints.

●Governance Bridge: Ensure a seamless handoff between the Delivery Management team (focused on "the build") and the PMO (focused on "the audit/reporting") to maintain 100% compliance.

5. Any ad hoc duties as assigned

Job Requirements:

● Preferably minimum 12 years and above of experience in software engineering, with at least more than 5 years in a senior leadership role (Director or Head of level).

● Exceptional presentation and public speaking skills through data-driven presentation.

● Proven track record in building and scaling distributed systems using Java, Kubernetes (EKS), and Kafka.

●Deep understanding of React.js/Nest.js for web and Kotlin/Swift for mobile, alongside data stacks like PostgreSQL, Redis, and BigQuery.

● Experience with Fullstory and modern monitoring frameworks to drive product quality.

● Mastery of the Atlassian suite (Jira/Confluence) and Agile/Scrum methodologies will be a plus

Key Responsibilities

Software Systems Oversight
• Oversee the design, development, and evaluation of software systems usedacross Liquid’s core payment and AI-first platforms.
• Guide the selection or adoption of new software solutions, ensuring they meet organisational requirements in performance, security, compliance, andscalability.

Quality, Performance & Delivery Governance
• Monitor the results and quality of software solutions generated both manuallyand through AI-assisted development tools.
• Establish quality gates across the SDLC to ensure all software projects andsystem enhancements meet architectural, security, and regulatory standards.
• Review completed features and system updates to verify functional accuracy,performance benchmarks, and alignment with product objectives.

Technical Leadership & Proof-of-Concept Development
• Oversee the development of Proof-of-Concepts (POCs) for new features,architectures, and platform capabilities.
• Provide technical expertise and advice to the Product Owner and engineeringteams on feasibility, risks, solution options, and architectural trade-offs.
• Validate that all POCs and proposed solutions appropriately address security,resilience, and risk considerations.

AI-First Development Enablement
• Translate enriched BRDs/PRDs into structured, reusable prompts for theAI-first IDE, ensuring they accurately represent requirements and constraints.
• Maintain and evolve prompt templates, architectural blueprints, and coding standards to ensure consistency across AI-generated output.

Architecture, Standards & System Integrity
• Maintain Liquids technical rulebook, architectural patterns, approvedframeworks, and system design guidelines.
• Ensure software systems—whether AI-generated or manually engineered—adhere to established principles, NFRs, and platform strategy.

Cross-Functional Collaboration
• Partner closely with the Product Owner, Product Committee, DevOps, andengineering teams to ensure seamless transition from business requirements totechnical execution.
• Coach engineers on interpreting AI-generated artefacts and applyingarchitectural standards throughout development.

Requirements
• Experience as a Software Developer, System Analyst, Solution Architect,Technical BA, or similar role.
• Strong understanding of software design patterns, microservices, and cloudarchitectures (AWS preferred).
• Familiarity with AI-assisted development tools (Cursor, Windsurf, GitHubCopilot) or willingness to learn.
• Knowledge of secure coding, performance tuning, and non-functionalrequirements.
• Excellent ability to interpret business requirements and translate them intotechnical specifications and prompts.
• Strong communication skills and attention to detail.

Nice to Have
• Experience configuring enterprise IDEs or coding guidelines for teams.
• Exposure to automated testing, CI/CD, and DevSecOps.
• Familiarity with compliance regimes (PCI DSS, GDPR, ISO27001).

Job Description

• Industry/ Organization Type: Manufacturing & Production
• Position Title: Senior Software Engineer
• Working Location: Redhill (Near to the MRT)
• Working Hours: 5 days a week (Flexi Hours)
• Salary Package: Basic Salary + Bonus
• Duration: Permanent

Key Responsibilities

• Design, implement, and maintain middleware components to connect hardware, drivers, and applications using C++ and Qt.
• Use Qt libraries (e.g., QtCore, QtNetwork, QtSerialBus, QtConcurrent) for system and communication services.
• Collaborate with hardware and system teams for smooth integration.
• Debug and resolve software-hardware communication issues.
• Support integration testing, validation, and deployment of middleware components.
• Other tasks as assigned by Management.

APPLY NOW!!!

• 5+ years of software development experience in Electrical/Electronic Engineering.
• Bachelor’s degree in Software Engineering, Computer Science, Electrical Engineering, or a related field.
• Proficient in C, C++, and object-oriented programming.
• Hands-on experience with Qt (QtCore, QtNetwork, QtWidgets, QML).
• Experience in middleware development or system-level programming.
• Strong understanding of Linux systems, shell tools, and debugging.
• Knowledge of hardware-software communication protocols (I2C, SPI, UART, USB, Ethernet).
• Experience with version control and issue tracking tools.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83870 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Overview

We are looking for an experienced Embedded Software Engineer to design, develop, and integrate software solutions for advanced UX products. This role focuses on persistent memory systems, working closely with cross-functional teams to ensure performance, reliability, and scalability.

Key Responsibilities

• Design and develop embedded software solutions for persistent memory management

• Define and implement software architecture and concepts for:

  • Data storage formats

  • Wear leveling and bad block management

  • Data consistency, security, and rollback strategies

• Develop and maintain low-level drivers for eMMC/NAND flash memory

• Optimize memory performance and bandwidth benchmarking strategies

• Collaborate with system architects to analyze requirements and define solutions

• Support root cause analysis for field issues and memory-related failures

• Work closely with hardware, testing, and software teams to validate system reliability

• Contribute to design documentation, code reviews, and quality processes

• Partner with hardware teams on memory portfolio and system integration

Requirements

• Bachelor’s or Master’s Degree in Computer Science, Engineering, or related field

• Strong experience in embedded systems architecture and memory technologies

• Proficiency in C/C++ for embedded development

• Hands-on experience with:

  • eMMC / NAND flash memory

  • File systems and low-level drivers

• Good understanding of:

  • Microcontrollers, SoCs, boot processes, memory controllers

• Experience with embedded development tools (emulators, analyzers, oscilloscopes)

• Strong problem-solving and debugging skills
  

Ankita

EA License Number: 23C2060 Registration ID is R22109715

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to Quesscorp Singapore’s PDPA and e2i’s PDPA

Key Responsibilities

• Design, develop, implement, and configure SAP Ariba solutions across Procure-to-Pay (P2P) and Source-to-Contract (S2C) processes.
• Develop and customize SAP Ariba modules, including:Ariba SourcingAriba ContractsAriba Supplier ManagementAriba Procurement / P2P
• Analyze business and technical requirements from procurement, finance, and IT stakeholders, and translate them into system design and development specifications.
• Build, enhance, and optimize workflows, approval rules, catalog configurations, and supplier onboarding functionalities within SAP Ariba.
• Develop and support integrations between SAP Ariba and SAP ECC / S/4HANA or other ERP platforms using APIs, cXML, and IDOC interfaces.
• Perform end-to-end software development lifecycle activities including solution design, configuration, testing, deployment, debugging, and post-go-live support.
• Troubleshoot system defects, investigate technical issues, and implement fixes to ensure stable and efficient application performance.
• Collaborate with cross-functional teams including IT developers, finance users, procurement stakeholders, and system architects to deliver scalable software solutions.
• Create technical documentation, functional specifications, and system support manuals.
• Conduct user training and provide technical guidance during implementation and enhancement phases.

Key Skills / Must-Have

• Strong experience in SAP Ariba solution development and configuration across:SourcingContractsSupplier ManagementProcurement modules
• Strong understanding of Procure-to-Pay (P2P) and Source-to-Contract (S2C) business processes.
• Hands-on experience in software solution design, system development, configuration, and testing.
• Experience integrating SAP Ariba with SAP ECC / S/4HANA and other ERP systems.
• Ability to analyze technical requirements and translate them into software enhancements and application solutions.
• Strong problem-solving, debugging, and troubleshooting skills.
• Excellent stakeholder communication and collaboration abilities.
• Ability to work independently and within development teams.

Our Client:

• Automotive Industry
• Mon – Fri, 8.30am – 6pm
• West
• UP $7,000 Basic + VB

Responsibilities:

• Lead analysis, design, development, testing, and implementation of complex systems and applications.
• Collaborate with cross-functional teams to gather requirements and understand user needs for system modifications.
• Develop detailed system modification plans, including requirements, process flows, and technical specifications.
• Design and implement system modifications following best practices and ensuring smooth integration.
• Support a team of application developers maintaining in-house applications.
• Apply deep knowledge of the software development lifecycle, process mapping, implementation, and post-live support.
• Provide technical support and guidance to end-users during system transitions.

Requirements:

• Min. Diploma in Computer Science or equivalent.
• Min. 4 years of experience in software development working experiences.
• Proficient with Microsoft.Net platform, MVC / C# / VB.NET and SQL.

For interested applicants, please click “QUICK APPLY”.

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

KINGFISHER RECRUITMENT(SINGAPORE) PTE. LTD.

EA Reg No: R23116361 | EA Lic No:17C8713

Role responsibilities

• Be part of the team to architect and bring up the new service infrastructure for autonomous prime mover (APM) business.

• Architect and develop large scale IoT system to track live operation data for fleet management to support live fleet operations and monitoring.

• Provide best data model and services for global route optimization, live monitoring, live map update, vehicle configuration, vehicle maintenance.

• Architect and develop other internal serivces to facilating R& D process.

• Bring up universal auth integration and best security practice.

• Provide common client SDK for backend services.

Required experience

• Bachelor’s or master's degree in computer science or related relevant field.

• 5+ years' experience in backend implementation.

• Experience with RESTful API framework in Python, Java, or Golang.

• Experience with high performance backend implementation, profiling, and monitoring.

• Experience with data modeling with relational database and NoSQL database.

• Experience with docker, K8s or other containerization techniques.

• Experienced with cloud services.

• Experience with proper CI/CD setup.

• Excellent communication skills.

• Strong technical knowledge and development experience in supporting enterprise-level Java applications.

• Proficiency in troubleshooting application issues, performing log analysis, and using monitoring tools.

• Minimum 3 years relevant experience to code in Java.

• Minimum 3 years relevant experience with Crystal report is preferred.

• Experience in Gitlab, IBM WebSphere, batch job development framework such as Quartz, Spring Batch is a plus.

• Development experience with Message Queues is good to have.

• Experience with databases and SQL query language, preferably on Oracle database.

• Familiarity with software development life cycle (SDLC) and ITIL principles.

Preferred Skillset:

• Java

• Crystal Report

• Oracle Databases

• Gitlab

• IBM WebSphere

• Experience in batch job development frameworks like Quartz, Spring Batch etc.

• Development experience with Message Queues

Job Summary

We are seeking a detail-oriented and experienced QA/Test Engineer to support end-to-end testing activities for applications within a dynamic and fast-paced environment. The role involves designing test strategies, executing test plans, and ensuring high-quality delivery through effective collaboration with cross-functional teams.

The ideal candidate will bring strong expertise in testing methodologies, automation frameworks, and agile practices, with the ability to identify risks, drive quality improvements, and contribute to continuous testing excellence across the project lifecycle.

• Prepare and execute testing i.e. analyses requirements, develop test strategies, test plan, test scenarios/cases
• Responsible for end to end testing delivery for the applications in collaboration with other stakeholders/interfacing systems.
• Responsible for the timely delivery of different testing milestones.
• Actively participate in inception, daily stand-ups and retrospective meeting & represent testing
• Accurately evaluate and report test results, test progress, and product quality
• Work effectively to define testable user stories, acceptance criteria, with all stakeholders
• Stays abreast of QA & Testing best practice and latest available tool, frameworks and standards.
• Risk and Issue Management - Identify, mitigate and escalate testing risks and issues

Requirements-

• Experience in the field of financial/banking applications testing (i.e. Internet banking, Mobile banking)
• Advanced knowledge of test methodologies and approaches
• Experience of using and implementing a variety of test tools, including tools for test management / planning, defect tracking, test automation, test data management
• Experience with Agile & Testing Tools like JIRA, Confluence would be an advantage
• Extensive experience in designing and implementing test automation based on BDD
• Experience of working on agile projects and deliveries
• Possess excellent verbal and written communication skills.

Next Step: If interested, you can click on “Apply here” or write an e-mail todimple.jain@adecco.com with your updated resume.

Dimple Jain

EA LIcence No.91C2918

Personnel Registration No.  R22107270