Total 3,328 technical engineer job vacancies in Information Technology category

Product area

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Additional Job Description

The Platforms and Devices Engineering, Infrastructure & Operations (PDEIO) Security team reviews and verifies critical components of Android, Chrome, and ChromeOS production infrastructure and its security controls. Our focus is on building solutions using AI Agents to help with the ambitious goal of securing the Supply Chain, including build environments, engineering productivity tools, source code, and third-party components for Android, Chrome and ChromeOS. Our goal is to ensure these components are trustworthy against the AI "Vulnpocalypse".

We build Agentic solutions to help us achieve these goals.

Qualifications

Job responsibilities

• Research, design and develop AI-driven software, tooling, processes and configuration to protect all parts of our supply chain (infra, build pipelines, third-party dependencies) against compromised insider accounts and upstream dependencies.
• Participate in team planning and strategy with ideas, proposals, and initiatives to strengthen supply chain security i.e. to protect source code, builds, and tools from malicious changes, to audit critical infrastructure access, and harden systems so that no person can act alone in making production changes.
• Perform security reviews and design engagements with a broad set of stakeholders from across Android, Chrome, and ChromeOS.

Minimum qualifications

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., C, C++, Java, Python or Go).

Preferred qualifications

• Experience leveraging AI-assisted tools (e.g., Gemini Cli, Jetski Web) to develop systems, particularly using distinct agents for specialized tasks.
• Experience in security, including malware analysis and defending against open-source project attacks.
• Experience developing and deploying multi-agent solutions in production using frameworks like Agent Development Kit (ADK) or Antigravity/Jetski SDK.
• Experience with non-Google3 development environments and working directly on build infrastructure.
• Experience working within complex codebases like Android and Chrome.
• Experience with Git and associated ecosystems (Gerrit, Gitiles), and working in Google Cloud.

Data Management &Transformation

• Designing and developing new data pipelines and managing existing data pipelines that extract data from various business applications, databases, and external systems.
• Implementing data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
• Transforming data into the desired format by applying data cleansing, aggregation, filtering, and enrichment techniques.
• Establishing the governance of data and algorithms used for analysis, analytical applications, and automated decision-making.
• Manage the logical and physical data models to capture the structure, relationships, and constraints of relevant datasets.
• Ensuring compliance with security and governance best practices

Optimization & Automation

• Implementing and maintaining continuous integrations and continuous delivery pipelines for deployments and cloud resource provisioning.
• Optimising data pipelines and data processing workflows for performance, scalability, and efficiency.
• Optimising models and algorithms for data quality, security, governance, performance and scalability needs.
• Routinely assessing processor and storage capacity across the data warehouse and extract transform & load platforms, including capacity planning and forecasting.
• Monitoring and tuning data system, identifying and resolving performance bottlenecks, issues, and implementing caching and indexing strategies to enhance query performance.
• Monitoring the platform for credit consumption and housekeeping.
• Supporting the deployment and maintenance of AI solutions in the data platform.

Collaboration

• Working with data lead and business users to manage data as a business asset.
• Guiding the business users to create and maintain reports and dashboards.

Job Requirements:

• Bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field
• Work experience in data management disciplines, including data integration, modelling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
• Work experience in designing and implementing data architectures in Azure cloud services and Databricks.
• Strong proficiency in Python (PySpark) and SQL programming; experience with Java or Scala is an advantage.
• Experience with relational and non-relational databases including SQL and NoSQL is a must while familiarity with legacy databases such as Oracle is preferred.
• Experience using Azure DevOps, Databricks LakeFlow Jobs for DevOps practices including version control, CI/CD and pipeline deployment.
• Experience with data catalogue tools including Unity Catalog and Microsoft Purview.
• Familiarity with BI & visualisation tools such as Power BI and Python visual packages for data analytics is preferred.
• Experience supporting AI/ML model deployment, feature engineering and production inference is preferred.

Interested applicants, please Email, fabianling@recruitexpress.com.sg

Fabian Ling Tuong Liing

R25129353

Recruit Express Pte Ltd

EA Licence No: 99C4599

We regret that only shortlisted candidates will be contacted.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

About the Role

In this role, you will be instrumental in building a comprehensive Agentic Framework. You will focus on the complex orchestration of LLMs, integrating third-party tools, establishing agent observability, and designing the intelligent backend services that power the AI applications. If you are a builder who thrives on solving complex orchestration problems and loves using AI-assisted tools ("vibe coding") to accelerate delivery, this is the role for you.

Key Responsibilities

• Agentic Orchestration & Development: Design and build advanced orchestration layers using Python based frameworks (e.g., LangGraph, n8n) and cloud-native AI services (e.g., AWS Bedrock Agents). Develop and onboard new "skills" and third-party API tool calls for autonomous agents.
• Advanced RAG & Cloud Integration: Architect and optimize Retrieval-Augmented Generation (RAG) pipelines. Integrate with LLMs heavily utilizing the AWS ecosystem (Bedrock) and internal government API gateways, managing context windows and embedding strategies.
• Platform & Marketplace Architecture: Design and develop the backend architecture for the AI capabilities marketplace, allowing users to securely publish, share, version, and manage datasets, custom document chatbots, newly developed AI agents and agentic "skills".
• Backend & API Engineering: Architect and develop robust backend services and APIs. Design and manage relational databases (PostgreSQL) to support application state and complex AI workflows.
• Vector Search & Data Handling: Manage and optimize search/retrieval mechanisms using vector databases and search engines (e.g., OpenSearch) to improve data retrieval accuracy and latency.
• Agent Observability & Evaluation: Implement telemetry and observability for AI agents (e.g., tracking token usage, latency, and tool-call success). Build mechanisms to evaluate LLM outputs and mitigate hallucinations.
• AI Guardrails & Enterprise Security: Implement robust security measures around LLM usage, including prompt injection defenses, data masking, and output filtering, ensuring all AI interactions comply with strict government data privacy policies.
• Data Pipelines & Platform Support: Build robust data ingestion and processing pipelines (ETL) to feed the vector databases.
• Full-Stack Collaboration: Work closely with frontend engineers and UI/UX designers to seamlessly connect complex AI backend processes with React and Next.js frontends.

Qualifications

• Experience: 5+ years of software engineering experience, with mandatory and proven proficiency in backend development, API design, and system architecture.
• GenAI/LLM Experience: Hands-on experience building applications using AI middleware/frameworks (LangChain, LlamaIndex, LangGraph) and managed LLM services.
• Cloud Ecosystem: Strong familiarity with cloud service providers. Deep knowledge of the AWS ecosystem (specifically AWS Bedrock, Bedrock Agents, OpenSearch) is highly preferred, though equivalent experience in Azure or GCP is acceptable.
• Database Mastery: Strong experience with Relational Database Management Systems (RDBMS), specifically PostgreSQL, alongside Vector DB concepts.
• Modern Development: A working understanding of modern frontend frameworks (React/Next.js) and ability to leverage AI-assisted coding tools (vibe coding) while maintaining strict code quality, security, and the ability to debug complex integrations manually.

Bonus Points:

• Workflow Automation: Experience with visual node-based workflow builders (n8n, Flowise).
• GenAI Observability: Experience with LLM observability and evaluation tools.
• Government Standards: Experience building applications that comply with strict data privacy and security standards (e.g., IM8 policies).

Let's talk about what's in it for you!

Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from.

As "Architects of Positive Futures", Capgemini actively supports the community in 3 ways:

Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups Women@Capgemini and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.

Digital inclusion - at Capgemini we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.

Environmental Sustainability - Capgemini joined the CDP's (Carbon Disclosure Project) prestigious "A list" for its commitment to the Net-Zero economy. We are focusing on helping our clients transform towards more sustainable business models and committing to reduce our own carbon emissions (GHG) by 20% per employee by 2020.

Recognised by Ethisphere as one of the World's Most Ethical Companies for the last 8 years in a row, ethics and values are at the heart of Capgemini's corporate culture and business. Embedded in our DNA, our seven values - Honesty, Boldness, Trust, Team Spirit, Freedom, Fun and Modesty - have remained the same since company inception in 1967. To see how we bring these values to life, click here to listen to some of our employee’s stories.

Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.

Role Overview

We are looking for an experienced Senior Systems & Network Engineer to support security-centric infrastructure projects. The role involves system and network infrastructure engineering, implementation, operations support, technical escalation, security hardening, compliance activities and stakeholder coordination.

This position is suitable for candidates with strong hands-on experience in systems, networking, security infrastructure and project implementation across physical and virtualised environments.

Key Responsibilities

• Provide system and network infrastructure engineering support for small to large-scale security-focused infrastructure projects.

• Work closely with solution architects to define the best approach for system and network design and implementation across physical and virtualised environments.

• Act as the technical escalation point and subject matter expert for system security, network architecture, implementation and operations.

• Lead technical implementation of new network and system solutions, working alongside project managers, customers, telcos and product partners.

• Perform and validate system and network hardening activities and maintain baseline configuration documentation.

• Lead ad-hoc technical activities such as major maintenance, migrations and disaster recovery exercises.

• Support compliance and audit activities to ensure policies, standards and procedures are properly enforced.

• Mentor and guide junior engineers where required.

• Provide standby support after office hours when needed.

Requirements

• Diploma or Degree in Engineering, Information Systems, Information Security or a related discipline.

• Minimum 5 years of relevant experience in systems, network infrastructure or security infrastructure roles.

• Strong knowledge of networking fundamentals and industry-standard IT protocols.

• Hands-on experience with Windows, Linux, VMware and/or Hyper-V environments.

• Strong experience with Next-Generation Firewalls, VPN, switching/routing, load balancers and proxies.

• Experience in Windows Server domain environments, including Active Directory, Group Policy, DNS/DHCP and SCCM.

• Good understanding of system and network security, including hardening, patching, capacity planning and design.

• Experience in scripting, resource capacity planning and system design will be an added advantage.

• Good communication skills with a proactive, driven and team-oriented working attitude.

Preferred Skills and Certifications

• Professional IT or security certifications such as ITIL, CCNA, CCNP, MCSE or VMware certification will be preferred.

• Certifications or hands-on experience in Microsoft, VMware, Cisco, Check Point, Palo Alto, Fortinet or F5 technologies will be an advantage.

• Advanced certifications such as CCIE or CISSP will be advantageous.

Key Skills

Systems Engineering, Network Engineering, Infrastructure Security, Windows Server, Linux, VMware, Hyper-V, Firewall, VPN, Routing, Switching, Load Balancer, Active Directory, DNS, DHCP, SCCM, Security Hardening, Disaster Recovery, IT Infrastructure Implementation

Laurence Andaya - R26159876
Recruitment Consultant

EA 05C3053
BGC Group Pte Ltd (Outsourcing)

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Tyco Electronics Singapore Pte Ltd (TE Connectivity) is looking for an R&D Scientist/Engineer to join our Corporate R&D Center. The Scientist/Engineer will be part of a newly formed Artificial Intelligence team to create an AI Hub for TE in Singapore. Team members will collaborate with R&D peers, business unit partners as well as local university and government research centers to undertake projects that will embed AI in TE’s design and process development work flows to deliver a competitive advantage to TE’s technologies. This position is based at our Singapore HQ.

The Singapore Corporate R&D Center is chartered to work with the CTO’s and Advanced Development Groups of TE Business Units to identify technical areas of interest for R&D and develop forward looking technologies that will deliver broad value to the business. In order to improve the New Product Development process, TE is expanding our Artificial Intelligence capabilities as a part of our Digitalization strategy to improve efficiency, decrease cost, and decrease time to market.

Duties & Responsibilities:

• Run multiple projects in developing data science solutions to support new product development in TE
• Adopt cutting-edge data science techniques (using in-house coding tools or commercial software) to solve engineering problems (such as product design, manufacturing process development, material formulation, etc.)
• Develop multiple algorithms powered by machine learning and generative AI to work on experimental and simulation data sets
• Work in a multi-disciplinary environment with specialists in data science, mechanical engineering, material science, mechanics, additive manufacturing and other fields
• Collaborate with multiple business units to define deliverable, requirements, and functionalities.
• Create awareness across TE of the AI modelling capabilities of the Singapore center
• Work with local and global TE sites, and external customers and partners, to address urgent or strategic needs
• Partner with Singapore research institutes to develop advanced AI techniques, and assist with validation and knowledge transfer of outsourced projects

Qualifications:

Required:

• Master degree in Mechanical Engineering (or related) with 3-4 years (or Bachelor degree with 4-6 years) plus relevant working/research experience
• Keen interest in R&D involving coding and data
• Deep understanding of data science and artificial intelligence (having a second degree on data science is a plus)
• Broad understanding of multiphysics simulation (such as finite element analysis) along with experience in CAD (such as generative design)
• Strong programming skill in Python or similar languages
• Broad knowledge of manufacturing processes, material and product design
• Experience in effective project management strategies and tactics

Preferred:

• Familiarity with TE products (connectors, cables, sensors etc.) and manufacturing process, (molding, extrusion, plating, stamping, assembly)
• Familiarity with project management tools

EindecSingapore Pte. Ltd. is hiring an Automation Programmer / Control SystemsEngineer to support cleanroom equipment automation and regional projectexecution, while also providing essential IT infrastructure support forinternal operations.

This role isprimarily focused on industrial automation (approximately 80%), including PLCprogramming, SCADA/HMI development, and EMS/BMS integration, with a secondaryresponsibility (approximately 20%) covering IT and OT support for Eindec’sSingapore office and Malaysia factory.

KeyResponsibilities

A.Automation & Control Systems (≈80%)

• Design, program, test, and maintain PLC control systems using Omron, Siemens, and Allen-Bradley (Rockwell Automation) platforms
• Develop, configure, and maintain HMI / SCADA systems for equipment monitoring, alarm management, and data logging
• Implement control logic for cleanroom equipment, including Air Showers, Fan Filter Units (FFU), and related control panels
• Perform software commissioning, troubleshooting, FAT, SAT, and on-site commissioning
• Interface equipment control systems with Building EMS / BMS / iBMS platforms
• Configure and troubleshoot industrial communication protocols such as Modbus, BACnet, TCP/IP, Ethernet/IP, and RS485
• Provide technical support for new installations, upgrades, and refurbishment projects
• Prepare and maintain technical documentation, including:

• Control architecture diagrams
• I/O lists
• Functional descriptions
• Operation and maintenance manuals

• Support product improvement, standardization, and value engineering initiatives

B. IT &OT Infrastructure Support (≈20%)

• Provide IT support for Eindec Singapore office and Malaysia factory, including:
• Server upgrade, configuration, monitoring, and backup management
• Data backup, recovery, and basic cybersecurity best practices
• Support network infrastructure, including:
• Network upgrade, configuration, and basic troubleshooting (LAN, switches, connectivity)
• Perform workstation and laptop setup, including:
• New workstation deployment
• Software installation and configuration
• Troubleshooting operating system, hardware, and performance issues
• Provide day-to-day IT troubleshooting support to ensure smooth office and factory operations

JobRequirements

Education

• Diploma or Bachelor’s Degree in Electrical Engineering, Automation, Mechatronics, Control Engineering, Computer Engineering, or related disciplines

• Proven experience in PLC programming using:
• Omron
• Siemens
• Allen-Bradley (Rockwell Automation)
• Hands-on experience with HMI / SCADA systems
• Strong understanding of industrial automation systems, control panels, sensors, actuators, and VFDs
• Experience in EMS / BMS integration is an advantage
• Basic to intermediate experience in IT infrastructure support, including:
• Servers and data backup
• Network troubleshooting
• PC and laptop setup and support

• Cleanroom, semiconductor, electronics, pharmaceutical, or high-tech manufacturing environments
• HVAC-related control or environmental monitoring systems

Soft Skills

• Strong problem-solving and analytical skills
• Ability to work independently and manage multiple priorities
• Good communication skills with internal and external stakeholders
• Willingness to travel within Asia for project and service support

OtherRequirements

• Willingness to travel overseas for project and service support when required
• Able to work independently and as part of a multidisciplinary team
• Strong problem-solving, communication, and documentation skills

WorkingHours

• Monday to Friday, normal office hours

Additionalhours may be required during commissioning or project critical phases

Job Responsibilities

• Serve as the software technical liaison for overseas automotive OEM customer projects, responsible for technical communication, reviews, delivery, and issue troubleshooting:
• Responsible for requirements decomposition and modular design compliant with Automotive SPICE framework;
• Responsible for writing embedded code, debugging, performance optimization according to Automotive standards;
• Produce design documents, reports, and other deliverables required by A-SPICE processes;
• Analyze and resolve technical issues during the software development process, and collaborate with relevant departments for product debugging;
• Responsible for supporting customer reviews of software-related designs.

Job Requirements

• Bachelor’s degree or above in Computer Science, Electronics, Automation, or related fields;
• At least 3 to 4 years of experience in automotive electronic software development, proficient in driver development and debugging, familiar with TCP/IP protocol, proficient in software analysis and design based on SOC or FPGA
• Proficient in C or C++ programming

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format or please click on “Apply Now”.

We regret only shortlisted candidates will be notified.

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Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Tan Sin Yong (Stella)

EA Personnel Reg No: R24124127

SWiZ Technologies is looking for an experienced and hands-on Technical Services Manager to lead the technical direction of our Managed Services business.

This is not a typical IT Manager role.

We are looking for someone who can become the technical back bone of our Managed Services division — a leader who understands technology, service delivery, solution architecture, cybersecurity, automation, AI, and business growth.

You will work closely with our Singapore management team to strengthen existing services, develop new offerings, support pre-sales activities, and guide technical teams across multiple locations.

Key Responsibilities

✔ Lead the technical direction of our Managed Services business

✔ Serve as the primary technical expert for infrastructure, cloud, cybersecurity, and managed services solutions

✔ Support sales and business development through solution design, technical proposals, and client engagements

✔ Evaluate new technologies, platforms, and service opportunities

✔ Drive automation, AI adoption, and operational improvements

✔ Mentor and develop technical team members across Singapore and Indonesia

✔ Support compliance requirements including ISO/IEC 27001, PDPA, Cybersecurity Act, and customer security requirements

✔ Work with management to ensure our services remain competitive, scalable, secure, and commercially viable

What We're Looking For

✅ Strong experience in IT Managed Services

✅ Technical leadership experience

✅ Infrastructure, Cloud, Networking, and Cybersecurity expertise

✅ Experience preparing technical proposals and solution designs

✅ Familiarity with ISO/IEC 27001 and information security best practices

✅ Strong communication and stakeholder management skills

✅ Business-minded individual who can balance technical excellence with commercial realities

Why Join Us?

At SWiZ Technologies, you will have the opportunity to influence the future direction of our Managed Services business, drive innovation, and help shape the technologies and services we deliver to our clients.

If you are passionate about technology, leadership, continuous improvement, and building scalable services, we'd like to hear from you.

Job Description

In the Memory Design Automation team, we work seamlessly with worldwide memory design teams to deliver high performance, low power and small area in-house memories design kits and design flows under advanced technology nodes. We are looking for candidate to join us as memory design automation engineer for the delivery of robust memory and development of Memory Compiler automation flow.

• Delivering robust memory solutions.
• Developing Memory Compiler automation flows.
• Creating behavioral, FPGA, timing, and DFT simulation models.
• Debugging andoptimizing SRAM models for ASIC design flows.
  

Job Requirements

• Knowledge of high performance, low power SRAM/ROM and VLSIdesign is an added advantage. Experience with EDA tools will be helpful.
• With min. 8 years of relevant experience in similar industry.
• Proficient with Perl, Shell, Python, C/C++ languages, knowledgewith AI machine learning algorithm and infrastructure is an added advantage.
• Good understanding of verilog syntax and its various aspects,such as behavioral, RTL and synthesizable verilog is a must.
• Good understanding of liberty timing syntax.
• Knowledge and experience with EDA simulation tools such as VCS,NC is required.
• Experience with EDA tools will be helpful:
• DFT: Logicvision, Tessent, Fastscan
• Synthesis: Design compiler, Genus
• Simulation tools:VCS, QuestaSim, NC
• STA tools such as PrimeTime

Interested candidates may apply through the application system. We regret to inform only Shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • EA Registration No. R1877971 (Derrick Tiew Yong Han)

JOB DESCRIPTION

• Own SOC validation tasks on both emulation and post-silicon platforms, ensuring design quality and conformance with the standards and specifications
• Responsible for the development of the functional validation plan and test programs for complex high-performance SOC
• Understand the standards and specifications, hardware and software operations and end to end features of the automotive connectivity and display solutions
• Participate in the architectural discussions and provide innovative solutions during the development of the SOC

JOB REQUIREMENTS

• Bachelor’s or master’s degree in electrical engineering or computer science
• 8+ years of experience in validating complex silicon, using emulation platforms, chip functional bring up, familiarity with lab equipment is required
• Proven ability to thrive in a small, agile engineering team, taking initiative and handling evolving technical challenges, with a strong sense of ownership and accountability
• Deep understanding of SOC architecture, embedded systems, digital IC design, hardware/software partition
• Prior working experience of display technologies such as MIPI DSI, Display port or HDMI would be a major plus
• Background in computer networking, ethernet, packet processing or understanding of networking protocols will be major plus
• Knowledge of embedded processor and firmware operation, processor sub-system, such as ARM cortex-A/M/R or RISC-V would be a plus
• Familiarity with industry standard hardware interfaces, such as Ethernet/PCIe/USB/SPI/I2C would be a plus
• Proficiency in C/C++, Python, or other relevant hardware programming and scripting languages
• Strong analytical and debugging skills across hardware/software boundaries.

Role Overview

We are looking for an experienced Senior Software Engineer (Backend) to design and enhance scalable backend systems that support Weather Information Dissemination. This role involves working on complex enterprise systems, building reliable backend solutions using Node.js and TypeScript, supporting batch jobs and streaming data, and applying modern engineering practices such as CI/CD and SRE to improve system resiliency and delivery efficiency.

Job Responsibilities

• Partner with software engineers and cross-functional teams to understand development delivery and system resiliency objectives.
• Assess existing technical landscapes, workflows, and processes to identify inefficiencies, pain points, and improvement areas.
• Recommend suitable engineering practices such as CI/CD and Site Reliability Engineering (SRE) to improve system performance and delivery efficiency.
• Develop transition roadmaps from current-state systems to future-state solutions, including recommended tools, processes, and best practices.
• Explain complex technical concepts clearly to stakeholders and provide actionable recommendations.
• Prepare supporting diagrams and documentation where required.
• Support proof-of-concept initiatives to validate solutions and assist during early implementation stages.
• Collaborate with fellow Software Engineers to share insights, tools, scripts, and best practices.
• Support continuous improvement and knowledge sharing across engineering teams.

Job Requirements

• At least 6 years of experience in an individual contributor software engineering role.
• Hands-on experience with Node.js and TypeScript.
• Experience with cloud service providers such as AWS, Azure, or Google Cloud Platform.
• Experience building cron jobs and scripts to run batch jobs.
• Experience with streaming data.
• Strong track record in large-scale partner solution implementation, preferably in complex enterprise environments.
• Strong communication skills with the ability to bridge technical discussions between internal teams and external partners.
• Experience working in highly secured or air-gapped environments such as government, banking, or similar systems will be an advantage.

Key Responsibilities

• Design, develop, and maintain robust, scalable, and high-performance applications using Java
• Build and enhance backend services, APIs, and microservices architectures
• Collaborate with frontend developers, QA engineers, and DevOps teams to deliver end-to-end solutions
• Participate in system design discussions, code reviews, and technical decision-making
• Troubleshoot, debug, and optimize application performance
• Ensure code quality through best practices, testing, and documentation
• Contribute to Agile ceremonies including sprint planning, stand-ups, and retrospectives

Requirements

• Degree in Computer Science, Engineering, or related field
• Strong experience in Java development (Spring Boot preferred)
• Proven experience in building scalable and distributed systems
• Familiarity with RESTful APIs, microservices, and cloud environments
• Experience with databases (SQL/NoSQL) and performance tuning
• Understanding of CI/CD pipelines and DevOps practices
• Strong problem-solving skills and ability to work independently

Good to Have

• Experience with containerization tools (Docker, Kubernetes)
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Knowledge of messaging systems (Kafka, RabbitMQ)
• Familiarity with frontend technologies (React, Angular)

Work Location: Central

(EA Reg No: 20C0312)

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

Only shortlisted candidates will be notified.

Role: Full stack Software Engineer (GenAI Platforms)

JD:

● Provide technical leadership to an agile, cross-functional development team

● Define and communicate technical vision across multiple workstreams

● Design scalable, secure, and resilient architectures for search and AI-powered systems

● Make architectural trade-offs balancing performance, cost, reliability, and security

● Collaborate with other Tech Leads to plan technical spikes and long-term technical

strategy beyond sprint scope

● Identify technical risks early and lead mitigation strategies

● Architect systems leveraging:

○ LLM integrations (e.g., Azure OpenAI, OpenAI APIs, etc.)

○ Retrieval-Augmented Generation (RAG)

○ Semantic search and vector databases

● Establish guardrails for AI systems including:

○ Evaluation frameworks

○ Observability and monitoring

○ Data governance and security considerations

● Guide the team from experimentation → prototype → production-ready AI systems

● Evaluate emerging AI technologies and assess suitability for public sector use cases

● Champion Agile technical practices (TDD, pair programming, refactoring, CI/CD)

● Lead DevOps adoption including build, release automation, and infrastructure

improvements

● Oversee automated testing strategy (unit, integration, performance)

● Lead resolution of technical blockers and retrospective improvements

● Ensure engineering standards are upheld across the team

● Work closely with Product Owners and Business Analysts to prioritise business stories

and technical investments

● Collaborate with UX Designers for feasibility studies and solution estimation

● Partner with Delivery Managers on long-term planning, system integrations, and

resource forecasting

● Represent the development team in governance and stakeholder meetings

● Mentor and coach engineers to grow both technically and professionally

How to Succeed

● 5–7+ years of experience in web application development

● Proven experience leading agile development teams

● Strong hands-on experience with:

○ Node.js, TypeScript

○ Cloud platforms (Azure, AWS, GCP)

○ SQL & NoSQL databases

○ CI/CD pipelines

○ DevOps practices

● Designed or led systems involving:

○ Search engines (crawl, index, ranking, relevance tuning)

○ Semantic search or vector search

○ RAG architectures

● Production experience integrating LLMs into applications

● Experience managing AI-related trade-offs:

○ Latency vs cost

○ Accuracy vs hallucination risks

○ Prompt engineering strategies

○ Model evaluation methodologies

● Understanding of AI system governance, security, and responsible AI practices

● Strong coaching and mentoring capabilities

● Comfortable leading technical discussions and influencing stakeholders

● Proactive self-starter with strong ownership mindset

● Passionate about continuous improvement

● Curious about emerging technologies and willing to experiment responsibly

● Strong communication and stakeholder management skills

● Meticulous attention to quality and engineering standards

Our client is a Global Service Solution Provider, this client pride themselves with their firm commitment to personal development of their employees. With an established branches in more than 60 countries. Where the regional HQs is in the United States, United Kingdom, and Singapore. And additional outlets in Japan, Germany, India, Australia, South Korea, Indonesia, Dubai, and Vietnam.

With a global customer base, this client seek bright and dynamic individuals to join their growing and expanding team. This team offer their employees opportunities to learn and grow in a dynamic and fast-paced environment.

What our Client is Looking For

• Responsible for critical facility operation of data centers.
• Responsible for managing the changes on critical systems, responding the emergent failure and tracking preventative maintenance.
• Responsible for capacity management of facility systems power and cooling.
• Manage availability risk of facility systems and drive the resolution.
• Drive and implement projects to improve the capacity, efficiency and reliability of current facility system.
• Support IT manager (IT) on their project and operations.
• Support design and project teams on new site/data-hall construction and commissioning.
• Establish performance benchmark, conduct analyses, and prepare reports on all aspects of the critical facility infrastructure operations and maintenance.

Minimum Qualifications:

• Bachelors degree in engineering of electrical, mechanical or related field.
• 3+ years of critical facility management or operation experience in large scale data center or 5+ years large scale production facility management experience in large scale plant.
• Experience and knowledge of MEP equipment such as UPS, generator, Chiller, Pump, cooling tower, etc.
• Good sense of building and maintain a safety and high efficiency working environment in daily work.
• High attention to details to identify the risk and drive to resolve them.

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Responsibilities:

• As an Innovation and Applied-AI Engineer, you will proactively identify opportunities, experiment with new concepts, and drive them end-to-end, from ideation to real-world deployment, with a high degree of autonomy and creativity.
• You will design and build AI-driven software solutions, leveraging GenAI to enhance internal workflows and create new product capabilities, while prototyping and validating ideas through proofs of concept (POCs).
• You will continuously evaluate new AI and GenAI technologies, assessing their relevance and deciding whether to adopt, adapt, or discard them. This includes applying insights from research, experimenting with models, exploring agentic AI, and developing demo applications.
• You bring a strong software engineering foundation, with the ability to build end-to-end applications across front-end and back-end, and collaborate effectively within a distributed, multidisciplinary team in a dynamic and fast-evolving environment.

Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science (or equivalent)
• Software Engineers with electives or majors in AI/ML, deep learning, or agentic AI.
• 3-5 years of working experience is required.
• Proficiency in software development using one or more of JavaScript, Java, Swift, or Python.
• Solid background in AI/ML, with the ability to understand and apply AI theory to real-world problems, including GenAI adoption in daily practice and new product features.
• Strong analytical skills, with an interest in reading academic papers and translating research into practical, innovative solutions.
• Familiarity with full-stack development and rapid prototyping using frameworks such as Flask, FastAPI, or React.
• Familiarity with generative AI frameworks (e.g., Hugging Face, LangChain, OpenAI APIs) and agentic AI systems.
• Familiarity with cloud platforms (AWS, Azure, or GCP), CI/CD pipelines, and containerization tools.