Total 2,859 structural engineer job vacancies in Information Technology category

Details:
- 1 Year Contract (Renewable)
- Up to $5,400 + AWS + VB + Other Benefits
- Central area

Duties:

• Administer and maintain databases across DB2, PostgreSQL, MySQL, and Snowflake platforms.

• Ensure database availability, stability, and performance for both OLTP and OLAP environments.

• Perform monitoring, health checks, performance tuning, query optimization, and capacity planning.

• Manage backup, recovery, disaster recovery (DR), and high availability (HA) processes.

• Troubleshoot database issues including performance degradation, replication failures, and data inconsistencies.

• Support cloud database environments on AWS (RDS, EC2) and Snowflake, ensuring security, scalability, and operational efficiency.

• Maintain monitoring and logging tools such as CloudWatch, Grafana, and Splunk, while developing automation scripts for maintenance tasks.

• Support database releases, schema updates, migrations, and deployment activities in collaboration with application and infrastructure teams.

• Maintain technical documentation, SOPs, incident reports, and support continuous improvement initiatives.

• Participate in after-hours support for maintenance activities and critical incidents when required.

Requirements

• Diploma or Degree in Computer Science, Information Technology, or related field.

• Minimum 3 years of experience in Database Administration or Database Engineering across DB2, PostgreSQL, and MySQL platforms.

• Experience supporting production or mission-critical systems, including AWS database services and Snowflake or similar data warehouse platforms.

• Strong knowledge of SQL scripting, stored procedures, query tuning, and database performance optimization.

Interested Applicants, please click Apply Now

Chow Zi Qing
R2199258
Revup Proservices Pte Ltd
EA.24C2366

Key Responsibilities

• Build and maintain scalable data pipelines using Python
• Write production-grade Python code specifically for data processing, transformation, and ETL workflows
• Perform data cleaning, preprocessing, and feature preparation for analytics and AI use cases
• Use data analysis and manipulation tools to handle large datasets efficiently
• Develop reusable Python modules for data ingestion and pipeline automation
• Perform exploratory data analysis (EDA) to understand data patterns and quality issues
• Optimize data workflows for performance, scalability, and reliability
• Support data requirements for AI/ML and Generative AI systems
• Build data services and APIs to support downstream AI applications
• Ensure data quality, consistency, and observability across pipelines

Must have skills:

Python & Data Libraries (Hands-on Experience Mandatory)

Candidates must have solid practical experience with:

• Pandas — data manipulation, transformation, and analysis
• NumPy — numerical operations and array-based processing
• Matplotlib — data visualization and reporting
• scikit-learn — basic ML workflows and model evaluation
• PyTorch — deep learning and AI model experimentation

AI / Generative AI Enablement

• Prepare and structure datasets for ML and LLM-based systems
• Support integration of AI models into data pipelines and applications
• Enable workflows for Generative AI use cases (RAG systems, agent workflows)
• Work with multiple AI model providers:
• OpenAI
• Anthropic
• LLaMA
• Mistral
• Exposure to AI orchestration frameworks such as LangChain, AutoGen, and CrewAI

Core Requirements

• Solid hands-on Python coding expertise focused on data systems (critical requirement)
• Ability to write clean, efficient, production-grade Python code
• Thorough understanding of data structures, ETL pipelines, and data workflows
• Experience working with large-scale structured and unstructured data
• Solid SQL skills for data extraction and manipulation
• Understanding of data modeling and analytics workflows
• Ability to support end-to-end data-to-AI pipelines

Good to Have

• Experience with big data or distributed processing systems
• Understanding of vector databases and embedding-based retrieval systems
• Experience building APIs or services for data/AI systems
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Exposure to production monitoring and data observability tools

Role Overview

We are looking for an experienced Senior Data Engineer to build scalable, secure, and high-performing data solutions that support digital transformation and data-driven decision-making. In this role, you will design and maintain data pipelines, data models, and data warehouse solutions while working closely with business users, IT teams, and data stakeholders across complex technology environments.

Job Responsibilities

• Translate business data requirements into technical specifications.
• Collaborate with IT teams on technology stack, infrastructure, and security alignment.
• Design and build data ingestion pipelines to collect, clean, merge, and harmonize data from multiple source systems.
• Monitor databases and ETL systems, including capacity planning, maintenance, performance tuning, and issue prevention.
• Construct, test, and maintain reusable data models based on end-user requirements.
• Design and build secure mechanisms for users and systems to access data from the data warehouse.
• Research, propose, and develop new technologies and processes to improve data infrastructure.
• Work with data stewards to establish and enforce data governance policies, best practices, and procedures.
• Maintain data catalogue, metadata, and data lineage documentation.
• Implement data quality checks and validation processes to ensure data accuracy and consistency.
• Implement data security best practices, including access control, encryption, and data masking.

Job Requirements

• Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, or related disciplines.
• Strong understanding of system design, data structures and algorithms, data modelling, data access, and data storage.
• Hands-on experience with cloud technologies such as AWS, Azure, or Google Cloud.
• Experience with Databricks.
• Experience in designing, building, and maintaining batch and real-time data pipelines.
• Experience with orchestration frameworks such as Airflow or Azure Data Factory.
• Proficient in Python, Shell Scripting, and SQL.

Preferred Requirements

• Familiarity with CI/CD pipelines.
• Familiarity with DevOps tools such as Docker, Git, and Terraform.
• Experience implementing technical processes for data security, data quality, and data governance.
• Familiarity with government systems and policies relating to data governance, data management, data infrastructure, and data security will be an advantage.
• Experience in Climate and Weather domains will be an added advantage.

Role Overview

We are looking for an experienced Senior Software Engineer (Web) to build and enhance robust web systems that support Weather Information Dissemination. This role involves working on complex enterprise systems, improving engineering practices such as CI/CD and SRE, and partnering closely with technical teams and stakeholders to deliver scalable, resilient, and high-impact digital solutions.

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 React and TypeScript.
• Experience with Node.js will be an advantage.
• Experience with cloud service providers such as AWS, Azure, or Google Cloud Platform will be an advantage.
• 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.

Location: Changi Business Park

Requirements

• 4–6 years of experience in Java application support.
• Provide Level 2 support for Java-based applications across production and non-production environments.
• Strong knowledge of Java, JavaScript, and SQL.
• Ability to understand, analyze, and troubleshoot existing application code.
• Experience working in a production support environment is preferred.
• Investigate, troubleshoot, and resolve application incidents, service requests, and system issues within agreed SLAs.
• Perform Root Cause Analysis (RCA) and implement corrective and preventive actions.
• Execute SQL queries for data validation, troubleshooting, and reporting purposes.
• Strong analytical and problem-solving skills.
• Collaborate with development, infrastructure, and business teams to resolve complex issues and ensure application stability.
• Willing to learn new technologies - is a must have

Good to have:

• Documentation and reporting skills will be an added benefit
• Familiar with GenAI prompting - good to have

Role Overview
We are seeking a Senior Data Engineer to work directly with agencies, enabling them to reach their desired development delivery efficiency and system resiliency through optimized Continuous Integration/Continuous Deployment (CI/CD) and Site Reliability Engineering (SRE) practices.

As a forward-deployed engineer, you’ll partner with agencies to solve complex challenges, gather insights, and drive continuous improvement in our product offerings. This role combines deep technical expertise with a commitment to customer enablement and feedback, ensuring that our Core Engineering Products evolve to address the real-world needs of our customers.

As a Senior Data Engineer, you will be working on:

•      Translate data requirements from business users into technical specifications.

•       Collaborate with partner agency’s IT teams on technology stack, infrastructure and security alignment.

•      Build out data product as part of a data team:

•      Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.

•       Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;

•       Construct, test, and update useful and reusable data models based on data needs of endusers.

•       Design and build secure mechanisms for end users and systems to access data in data warehouse.

•       Research, propose and develop new technologies and processes to improve agency data infrastructure.

•       Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.

•      Maintain data catalogue to document data assets, metadata and lineage.

•       Implement data quality checks and validation processes to ensure data accuracy and consistency.

•      Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

What we are looking for:

• A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.

• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.

• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.

• Experience with Databricks.

• Experience in designing, building, and maintaining batch and real-time data pipelines.

• Experience with orchestration frameworks such as Airflow, Azure Data Factory.

• Proficiency in working with Python, Shell Scripts, and SQL.

Preferred requirements:

• Familiarity with building and using CI/CD pipelines.

• Familiarity with DevOps tools such as Docker, Git, Terraform.

• Experience with implementing technical processes to enforce data security, data quality, and data governance.

• Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

• Experience in Climate and Weather domains will be an advantage.

Interested candidates, please send your CVs on nabilah.azman@tg-hr.com

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Job Description:

• 1. System and Hardware Management:
• Support and manage various operating systems including Windows Server, Linux (RHEL, SUSE, Ubuntu), Solaris, IBM AIX, and Oracle Linux.
• Manage system software and hardware such as Active Directory, DNS, DHCP, ADFS, Azure AD, clustering solutions, SAN/NAS storage, and virtualization platforms.
• 2. Incident and Problem Management:
• Respond to system incidents according to severity levels and meet service level requirements.
• Handle high-pressure situations, identify problems, and make quick decisions to resolve issues.
• Adhere to incident management workflows and procedures.
• 3. Documentation and Reporting:
• Maintain and update system documentation, standard operating procedures (SOP), guidelines, and daily checklists.
• Provide timely and accurate reports on system performance, capacity planning, and incident analysis.
• 4. Collaboration and Coordination:
• Work closely with third-party vendors, telecommunication operators, ISPs, and other service providers.
• Participate in transition planning and support the onboarding of systems and services.
• 5. Compliance and Training:
• Ensure compliance with company policies, information security guidelines, and health and safety regulations.
• Provide continuous training to enhance knowledge and skills in system administration and management.
  
  Qualifications:
• Education: Diploma in Information Technology or a related field.
• Experience:
• 1-3 years of experience in managing system and hardware infrastructure.
• Certifications:
• ITIL certified, relevant certifications for specific systems (e.g., CCNA, MCSE, RHCSA).
• Skills:
• Strong technical knowledge of system and hardware management.
• Excellent problem-solving and decision-making skills.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.
• Working Conditions:
• Ability to work on standby, including nights, weekends, and holidays.
• On standby and contactable 24/7 for support and escalation.

Interested applicants, please Email , and look for johnwong@recruitexpress.com.sg

John (Joax) Wong

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R23117179

Job Description

• Design and implement ETL/ELT pipelines and data workflows
• Manage and maintain scalable data warehousing solutions
• Ensure data quality, consistency, and integrity across sources

Requirements

• 0 to 1 Year Experience in Data Engineering
• Polytechnic Diploma or Degree in Computer science/Data Science is essential
• Freshers with strong SQL and Python scripting will be considered
• Willing to learn new technologies and undergo rigorous training
• strong communication skills and ability to work in a team is essential

System Engineer

Job Descriptions:

• Plan and design CCTV network infrastructure and effective surveillance coverage

• Install, configure, and commission IP cameras, DVRs/NVRs, video management systems (VMS), and associated hardware/Software
• Configure and maintain routers, switches, VLANs, VPNs, and PoE networks supporting camera infrastructure
• Establish high availability VPN connectivity across multiple CCTV sites
• Monitor CCTV and network performance, diagnose issues, and perform proactive maintenance
• Apply firmware updates, security patches, and resolve vulnerabilities in network devices
• Work alongside CCTV, access control, and IoT teams to integrate solutions into wider security platforms
• Perform site surveya, risk assessments, and recommend enhancements
• Maintain detailed documentation and network topology diagrams
• Train clients and internal Team on CCTV system operation, maintenance, and security best practice
• Ensure adherence to standards such as ONVIF, NSI, MOI SSD and local regulations

Job Requirements:

• Diploma or Bachelor's in Computer Science, Electrical/Electronic Engineering, or related field
• Certifications: Cisco (CCNA/CCNP), COMPTIA security+, HiKvision, Axis, Milestone, or equivalent
• 3-7 years in CCTV system deployment and network engineering
• Proven expertise in configuring IP Camera systems and video surveillance infrastructure

Prefer Technical experience in below skills:

• Networking: TCP/IP, VLAN, PoE, WAN/LAN, QoS, VPN, Multicast routing, HA Protocols (VRRP, HSRP)
• Security technologies: IPSEC, UTM, Firewalls, and Cybersecurity beat practices
• Proficiency with Wireshark/Sniffer tools and Linux environments
• Experience with any CCTV platforms: Dahua, HiKvision, Uniview, HiKcentral, Bosch, Milestone will be added advantage

At Intelligen, we’re building something different. Over the past three years, we’ve evolved from a bold startup into a trusted partner for some of Australia’s most complex data transformations. We’ve helped organisations move from legacy to modern cloud platforms, embed governance into decision-making, and bring AI into the hands of business users - responsibly and at speed.

Now, as we scale into Southeast Asia, we’re looking for a Data Engineer who’s passionate about modern, cloud-agnostic data platforms and building analytics-ready solutions on Snowflake. This is your chance to work on high-impact projects across the region and help shape how data is built, modelled, and used to drive meaningful outcomes.

About the Role

We’re seeking a hands-on Data Engineer with strong experience across cloud-agnostic data platforms, focusing on Snowflake, to design, build, and optimise data pipelines for clients across Southeast Asia and APAC.

You’ll be part of an integrated Intelligen consulting team, working closely with our architects, senior consultants, and client-side technical stakeholders. This role is ideal for engineers who are hands-on, delivery-driven, and comfortable working in fast-moving, iterative project environments.

What You’ll Do

• Design and build data pipelines across cloud environments (AWS, Azure, and/or GCP)
• Build and optimise data solutions in Snowflake
• Develop robust ETL/ELT solutions and data models to support enterprise analytics
• Optimise performance, scalability, and reliability across cloud data architectures
• Work closely with business stakeholders to translate needs into technical outcomes
• Contribute to data governance, quality, and lineage initiatives
• Collaborate with cross-functional teams across Australia and APAC
• Support pre-sales, technical design sessions, and proof-of-concept (POC) work

• 3–5+ years’ experience in data engineering roles
• Solid Snowflake experience is essential, including schema design, performance tuning, and warehousing best practices
• Strong, hands-on ETL expertise
• Ideally experience with SQL, data modelling (dimensional/domain), and modern data stack tooling.
• Ability to operate in “doer mode”, comfortable rolling up sleeves and delivering quickly in line with agreed standards
• Consulting experience is a plus but not required; strong communication and problem-solving skills are essential.
• Ability to deliver independently within a structured consulting engagement.

We’re not just delivering AI and data projects.. we’re humanising them. That means we care deeply about the how, not just the what. We value curiosity, creativity, and a willingness to challenge the status quo. We look for people who are driven to build a business, get curious, and offer opinions and ideas.

You’ll join a team that’s smart, kind, and ambitious. You’ll have real influence - in your projects, your practice, and the broader business. And as we grow, so will you.

Here’s what that looks like:

Grow With Purpose

• Structured development pathways so you always know what you’re working toward.
• Paid certifications across all major cloud and data technologies — because mastery matters
• Weekly training, guilds and knowledge exchanges where practitioners share real project insights.
  

Support That Helps You Thrive

• A dedicated support lead to mentor, guide and help you navigate your career
• Regular 360° feedback loops, giving you clear direction and honest insight into your progress.
  

A Community You’ll Enjoy Being Part Of

• Innovation days where you can experiment, prototype and sharpen new skills.
• Team days, social catchups,  many new community clubs…
• Opportunities to lead, influence and shape our growing practice as we expand across the region.
  

If you want to be part of a team that cares just as much about how we deliver as what we deliver; where curiosity is valued, ideas matter, and your impact is felt - drop us a message and start the conversation today...

• Develop and deploy AI/ML software solutions for engineering applications.
• Build, train, and optimize machine learning and deep learning models.
• Develop software applications using Python.
• Integrate AI solutions into products and systems.
• Troubleshoot, test, and enhance software performance.
• Prepare technical documentation and reports.

Requirements

• Degree in Computer Science, Computer Engineering, AI, or related field.
• Strong Python programming skills.
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
• Good understanding of machine learning concepts and data processing.
• Strong analytical and problem-solving skills.
• Knowledge of Git is preferred.
• Experience with cloud platforms, embedded systems, or Edge AI is an advantage.

By sending your job resume to us, it shall be deemed that you have agreed and hereby give your consent to MANFIELD in collecting, using and/ or disclosing your personal data for the purpose of accessing and processing your job application and/ or for future job opportunities within MANFIELD and/ or with the client(s) of MANFIELD. If you wish to withdraw your consent, please notify us. Kindly visit our company website for more information on the Privacy Policy.

WE REGRET TO INFORM THAT ONLY SHORTLISTED CANDIDATES WILL BE NOTIFIED

Manfield Employment Services Pte Ltd
EA Licence No: 95C2823
Posting Personnel: Quennie Chen

EA Personnel Registration No: R1222837

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Technical Sales Engineer
• Working Location: Joo Koon
• Working Hours: 5 days (8am-5.30pm)
• Salary Package: Basic Salary $4,000 + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Respond to customer inquiries via the portal or email.
• Download, update, and track customer product Bill of Material (BOM), drawings, specifications, and revisions.
• Prepare sales quotes, proposals, and tender documents during the request-for-quotation (RFQ) stage.
• Verify compliance with specifications before submitting proposals to customers.
• Calculate costs for materials, machining, cladding, and other related expenses for quotes.
• Ensure quotes are competitive and maintain a healthy profit margin.
• Follow up on proposals to secure orders from clients.
• Create and distribute a Sales Order Job Launch upon receiving purchase orders.
• Manage active sales orders and delivery schedules.
• Build and maintain good customer relationships to enhance satisfaction.
• Coordinate with other departments to compile and submit necessary documentation (e.g., pre-production, final product, concessions/non-conformances).
• Maintain positive communication with customers regularly.

APPLY NOW!!!

• Diploma or Bachelor's Degree in Mechanical Engineering or related field.
• Highly motivated and driven.
• Excellent interpersonal and communication skills.
• Team player with good analytical and problem-solving abilities.
• Capable of handling ad-hoc projects and multitasking.
• Proficient in MS Office tools.
• Knowledge or interest in oilfield components and equipment is a plus.

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 #73467 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

Industry: Logistics

Conducive Working Environment

Location: East

Responsibilities:

• Drive technical excellence, process stability, and operational readiness by providing engineering leadership, equipment expertise, and continuous improvement initiatives to support business and customer requirements.
• Lead the setup, validation, and optimisation of testing workflows, equipment configurations, and operational processes.
• Develop, implement, and maintain SOPs, work instructions, and engineering standards to ensure process consistency and compliance.
• Manage the full equipment lifecycle, including installation, preventive maintenance, troubleshooting, upgrades, and replacement planning.
• Investigate and resolve complex technical and equipment-related issues, serving as the key escalation point for operational teams.
• Drive continuous improvement initiatives to enhance productivity, quality, reliability, and operational efficiency.
• Support New Product Introduction (NPI), new line setups, process transfers, and engineering change implementations.
• Partner with cross-functional teams to ensure smooth deployment of new equipment, technologies, and operational processes.
• Deliver technical training and coaching to operations teams to strengthen equipment knowledge and troubleshooting capabilities.
• Monitor engineering performance metrics and recommend solutions to improve process capability and equipment uptime.

Requirements:

• Degree in Engineering or a related technical discipline.
• Minimum 8 years of relevant engineering experience in manufacturing, logistics, automation, or a high-volume operational environment.
• Strong hands-on experience in equipment implementation, process setup, commissioning, and optimisation.
• Proven track record in troubleshooting complex technical issues and driving continuous improvement initiatives.
• Experience supporting NPI, process transfers, or new line implementation projects.
• Strong stakeholder management, problem-solving, and project management skills.
• Ability to work independently and lead technical initiatives in a fast-paced environment.

Job ID: JOB-00430

All successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

Kindly email your resume in a detailed Word format to carlo@peopleprofilers.com

We regret that only shortlisted candidates will be notified

People Profilers Pte Ltd

20 Cecil Street, #08-09 PLUS Building Singapore 049705

+65 69509747   

EA License Number: 02C4944

Registration Number: R1100011

EA Personnel: Carlo Antonio Dela Cruz

Company Overview:

Realtek is a leader in the communications network industry with cutting-edge solutions that power next generation experiences. Each year, more than 2 billion Realtek chips are integrated into products from leading global brands in consumer electronics, peripherals, communications networks, automotive and medical technology. At Realtek, we foster an exciting and inclusive environment that empower teams to collaborate, push boundaries and redefine possibilities.

Job Summary:

Join us as an experienced Software Engineer to drive the development of innovative, high-performance automotive products from inception. Play a pivotal role in shaping software architecture, designing embedded software/firmware and tool applications, and enhancing test methodologies. Collaborate with systems design, marketing and customer support teams to ensure our products exceed industry standards in functionality, performance, and reliability.

Key Responsibilities:

· Develop and validate software, firmware, tools applications, and/or specialized utility and test programs.

· Design software architectures that interoperate with standard interfaces and open systems.

· Engage in all phases of software development – design, coding, unit testing, debugging, integration and release – while meeting key specifications and schedules.

· Participate in code/design reviews, triage, issue resolution to improve product reliability.

· Analyse customer needs and system requirements to design and customize software for optimal performance, scalability and interoperability.

· Provide guidance on technical software design, feasibility with effective documentation.

Requirements:

· Bachelor’s / Master’s degree in Engineering, Information Science, Computer Science or related field.

· Strong understanding of embedded systems fundamentals and computer architecture.

· 8+ years of working experience in embedded systems development, software architecture.

· Proficiency in C/C++ and bash scripting, with familiarity in at least one of the following:

o Python, C#, .NET, WPF, WinForms.

· Experience in development for and testing on Linux / embedded Linux platforms.

· Expert proficiency with system debug and analysis tools.

· Possess good working knowledge of network and communication protocols. e.g., I2C, SPI, MDIO, GPIO, UART, TCP/IP, ETH, Wi-Fi, etc.

· Independent, self-starter with strong problem-solving and analytical skills.

· Familiarity with software life cycle development processes and secure coding principles.

Preferred:

· Experience in C# GUI app development, tools development incorporating UI/UX.

· Experience in automation testing and CI/CD tool integration to enhance workflow efficiency.

· Experience in usage and deployment of emulation platforms for development and debug.

· Working knowledge of automotive networking and communication technologies.