Total 196 software test engineer job vacancies in Education / Training category in Singapore

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28AI-Driven-Autonomous-&-Smart-Manufacturing%29%2C-Division-of-Industrial-Design/32423-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of Research Engineer in AI-Driven Autonomous and Smart Manufacturing, with a focus on Additive Manufacturing (AM). 

•    Develop AI-driven frameworks that integrate LLMs, agentic AI, and multimodal foundation models for autonomous and smart manufacturing applications, with emphasis on additive manufacturing.
•    Fuse multimodal sensor data, reinforcement learning, and vision–language models to enable real-time defect detection, process monitoring, and intelligent decision-making.
•    Support internal capability development and execute collaborative projects with academic researchers and industry partners.
•    Assist in preparing technical reports, documentation, and contribute to publications and grant proposals where applicable.
•    Assist laboratory safety and procurement whenever necessary.

AM.NUS leverages the National University of Singapore world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. 
AM.NUS explores a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalised patient treatments.

AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) centre in an Institute of Higher Learning in Singapore which comprises five Faculties (Medicine, Science, Engineering, Dentistry and Design & Environment). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC) and Singapore Economic Development Board.

Qualifications

●    Bachelor degree in Mechanical Engineering, Manufacturing Engineering, Computer Science, Artificial Intelligence, Industrial Design or a closely related field.
●    Strong background in additive manufacturing and smart manufacturing systems.
●    Proven expertise in machine learning and AI, including experience with LLMs, multimodal models, or reinforcement learning.
●    Experience with engineering design and simulation tools (e.g., AutoCAD, SolidWorks, FEA) is an advantage.
●    Experience with digital twins, knowledge graphs, or cyber–physical systems is an advantage.
●    Proficiency in written and spoken English. 

We have a few openings for Research Fellow or Research Engineer. The selected applicant is expected to lead and pursue high-quality research in applied applied artificial intelligence for industry applications as well as publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please apply with your resume including a cover letter, CV and a brief statement of your work undertaken in previous work.

The Singapore Institute of Technology (SIT) is a public autonomous university and the third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home to the best talent and have the world’s highest per capital investment in science and technology.

Key Responsibilities:

• Collaborate with partners from both the academia and the industry to lead and/or conduct innovative research on applied artificial intelligence computing.
• Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers.
• Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met.
• Coordinate procurement and liaison with vendors/suppliers.
• Participate in computer science related laboratories and tutorials for undergraduate students.
• Interview and supervise student assistants in the project.

Job Requirements:

• (Research Fellow) PhD in Computer Science or a related field
• (Research Engineer) Bachelor/Master degree in Computer Science or a related field
• Proven ability to conduct independent research with a relevant publication record.
• Outstanding data analytics, mathematical, and computer modelling skills.
• Excellent interpersonal communication and oral presentation skills in English
• Self-driven and strong team spirit
• Open to fixed-term contract (renewable upon review of satisfactory performance)

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

We are looking for a Research Engineer to design and develop an advanced multi-source knowledge fusion framework that leverages Large Language Models (LLMs) and other AI techniques. The role will focus on constructing, merging, and maintaining domain-specific knowledge graphs to harmonize heterogeneous data, specifically applying these technologies to support research and decision-making on critical environmental issues.

Key Responsibilities:

• Knowledge graph construction and maintenance: Build, merge, and maintain scalable, domain-specific knowledge graphs, ensuring they adapt to dynamic data evolution and continuous updates.

• Data integration and harmonization: Develop robust pipelines to ingest, clean, and integrate heterogeneous data from diverse and inconsistent sources into a unified graph structure.

• Collaborative research: Work closely with a multidisciplinary team of researchers to define data requirements, align technical deliverables with project goals, and apply the knowledge graph framework to solve complex environmental challenges.

Job Requirements:

• Bachelor / Master degree in computer science or related field

• Familiarity with ESG (Environmental, Social and Governance) regulations and standards

• Good written and oral communication skills

• Proficiency in Python and cloud computing

• Team player and able to develop solutions under strict timelines with other researchers  

• Entry level candidates are welcome to apply

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

Job Responsibilities

Tool Maintenance & Troubleshooting

• Perform root cause analysis and troubleshooting of equipment malfunctions and process deviations.
• Implement preventive and predictive maintenance plans to minimize downtime.
• Maintain spare parts inventory, tool history, and maintenance logs.

Performance Monitoring & Optimization

• Monitor tool performance and optimize tool uptime and throughput while ensuring process stability and product quality.
• Support productivity improvement initiatives such as cycle time reduction and automation upgrades.

Cross-Functional Support

• Collaborate with process engineers, production teams, and quality engineers to resolve equipment-related yield or reliability issues.
• Support new product introduction (NPI) by ensuring timely equipment readiness and process qualification.

Compliance & Documentation

• Maintain equipment-related documentation including manuals, procedures, maintenance checklists, and safety protocols.
• Ensure compliance with EHS regulations, cleanroom standards, and company safety policies.
• Participate in audits and drive corrective actions for equipment-related findings.

Perform any other ad-hoc duties as assigned by the Manager, as required to support the team and organizational goals.

Job Requirements

Professional Qualifications:

• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Mechatronics, or a related field.
• 5–10+ years of experience as an equipment or maintenance engineer in semiconductor, substrate, or PCB manufacturing.
• Hands-on experience with substrate process equipment such as coaters/developers, wet benches, plating tools, lamination presses, laser drills, or vacuum ovens.

Specialized Knowledge & Skills:

• Familiarity with substrate technologies such as SAP/Damascene, ABF-based build-up layers, or glass core substrates.
• Proficiency with troubleshooting tools (e.g., multimeters, oscilloscopes) and root cause analysis methodologies (e.g., 5 Whys, Fishbone).
• Experience with TPM (Total Productive Maintenance), FMEA, and reliability engineering practices.
• Strong teamwork, communication, and documentation skills.

As a University of Applied Learning, SIT collaborates closely with industry partners in our research pursuits. Our research staff can gain practical research skills that are directly relevant to industry needs while working on projects at SIT.

Key Responsibilities

• Design and develop a prototype of an Artificial Intelligence (AI) model with deep learning algorithm to detect, distinguish and identify complex sensing signals in 
  maritime space.
• Conduct literature review on deep learning algorithm for complex signals.
• Design and develop a prototype for maritime sensing
• Conduct trials and experiments to determine the success of the prototype, 
• Propose and develop trials and experiments acceptance test steps/procedures, 
• Process and analyse the data gathered from the trial and experiments.
• Prepare the final report on the trial and experiments conducted with details covering findings and analysis, as well as the recommended way ahead.
• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Have relevant competence in the areas of sensing, system modeling, simulation testing for both hardware and software, experimental prototyping and testing.
• Have a degree in engineering / applied physics, electrical, mechanical, marine, computer engineering or equivalent.

Key Competencies

• Good knowledge in system modeling, programming, simulations, data analytics, experimental prototype.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

About Us
LITEON is a world‑leadingprovider of optoelectronic semiconductor components and power management solutions. At LITEON, people are at the heart of our success. We foster a supportive, inclusive, and empowering culture where engineers are encouraged to learn, experiment, and grow alongside experienced industry professionals.

About the Role
We are seeking a Junior Power Electronics Research Engineer to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. This role is ideal for early‑career engineers with up to 3 years of experience who are eager to build strong fundamentals in power electronics research and development.

You will work closely with senior researchers and engineers on early‑stage research and proof‑of‑concept projects that support the future of data centre, cloud, and AI infrastructure technology. This role offers structured mentorship, hands‑on lab exposure, andthe opportunity to develop into a specialist or technical leader over time.

Key Responsibilities

• Research & Learning
  - Conduct literature reviews and technical studies on power electronics topologies, components, and control concepts.
  - Learn and explore emerging technologies related to data centre and cloud power systems.
  
• Concept Development
  - Assist in identifying technical challenges, future needs, and market opportunities.
  - Support the generation and evaluation of multiple design concepts under guidance from senior engineers.
• Design & Simulation
  - Create circuit designs an system block diagramsPerform simulations using tools such as MATLAB, Simulink, LTspice, or Python to validate concepts.
• Prototyping & Testing
  - Support the construction of proof‑of‑concept hardware prototypes.
  - Perform lab testing using oscilloscopes, electronic loads, and power analysers.
  - Assist in debugging and performance evaluation.
• Documentation & Communication
  - Contribute to technical reports, design documentation, and performance summaries.
  - Support patent disclosures and internal knowledge sharing activities.

Requirements

• Bachelor’s, Master’s, or PhD degree (or near completion) in Electrical / Electronics Engineering or a related discipline.
• 0–3 years of experience in power electronics, hardware design, or related engineering roles.
• Basic understanding of power electronic architectures such as AC/DC and DC/DC converters.
• Exposure to schematic design, datasheets, and PCB layouts (academic or industry projects welcome).
• Familiarity with simulation tools (MATLAB, Simulink, LTspice, or similar).
• Interest in wide‑bandgap devices (SiC / GaN), magnetics, EMI, or thermal design is an advantage but not mandatory.
• Willingness to learn, strong problem‑solving skills, and good communication abilities.
• Hands‑on mindset with enthusiasm for laboratory work and experimentation.
• Fresh graduates with strong project or research experience are encouraged to apply.

Why Join LITEON

• Attractive Remuneration Package
  - Competitive salary package benchmarked to market standards
  - Performance bonuses and comprehensive benefits
  
• Overseas Training Opportunity
  - 2‑month overseas training attachment at one of LITEON’s global R&D sites
  - Exposure to international teams, advanced facilities, and real‑world product development
  
• Structured Development & Mentorship
  - Close guidance from experienced researchers and senior engineers
  - Clear technical growth pathway from junior to advanced engineering roles
  
• World‑Class R&D Environment
  - Well‑equipped laboratories and modern development tools
  - Opportunities to contribute to publications, patents, and future technology platforms
  
• Meaningful Impact
  - Be part of innovations shaping energy‑efficient data centres, cloud computing, and AI infrastructure

SHARE@NTU Lab is developing key technologies for humanoid robot research, designed for intelligent service, industrial assistance, and human-centric environments. The key technologies include multimodal sensing, artificial intelligence, environment perception and situation awareness, as well as real-time motion planning and decision-making capabilities, enabling humanoid robots to operate safely and efficiently in complex and dynamic environments.

Through the development of advanced humanoid robotic platforms, SHARE@NTU Lab aims to support the world’s growing demand for automation amid labour shortages, while also training the next generation of local talent in robotics, artificial intelligence, and intelligent sensing technologies.

We are seeking a highly motivated and skilled Mechatronic Engineer to join SHARE@NTU Lab. The ideal candidate will work on developing and optimizing embedded software solutions for assistive robots. The role requires proficiency in embedded systems design, Robot Operating System (ROS), Linux-based development, CAD design, and microcontroller programming. The candidate should have good problem-solving skills, and a deep understanding of hardware and software integration.

Key Responsibilities:

• Lead the design and development of mechatronic systems, including mechanical structures, sensors, actuators, and embedded control units.

• Review system design and firmware/software for reliable system implementation.

• Design and implement software of embedded control devices for assistive robots.

• System integration (incl. motors, sensors, actuators and control software), troubleshooting, and hardware-in-the-loop testing for optimal system performance.

• Implement real-time control, communication, and data acquisition on microcontrollers and embedded Linux platforms.

• Document system designs, test results, and integration procedures to support traceability and future scalability.

• Mentor junior engineers and support project reviews, technical reporting, and presentations.

Job Requirements:

• Master's degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.

• Experience in embedded system engineering – working with embedded boards and using standard embedded development tools such as oscilloscopes, logic analyzers, JTAG, etc.

• 4+ years of hands-on experience developing, deploying, testing, and validating ROS2 (or ROS 1) based robotics systems — including AMRs/AGVs and exoskeletons.

• Proficiency in C, C++, and Python, with experience writing robust, task-specific algorithms for perception, localization, mapping, navigation, and control.

• Solid experience with Linux development environments, Docker, and Git for version control and collaborative development workflows.

• Strong familiarity with CAD, Gazebo, RViz, URDF/SRDF, and simulation toolchains for robot model integration and testing.

• Demonstrated experience integrating sensors, actuators, and hardware components into robotic systems, ensuring seamless communication between hardware and software layers.

• Hands-on experience with real-time systems, embedded platforms (RTOS, embedded Linux), and edge computing environments.

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

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

Key Responsibilities:

• Review the literature related to UAV communications and networking

• Develop new AI algorithms for UAV networking and management

• Implement and test the algorithms under realistic scenarios

• Evaluate performance of the proposed algorithms and compare the algorithms with benchmarks

• Publish the results in top-tier journals and conferences

Job Requirements:

• Bachelor’s degree in electrical or computer engineering or computer science

• Good publication record with papers accepted/published in top-tier journals and conferences

• Good research experience in AI and machine learning as well as wireless networking

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

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

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

We are looking for a motivated Research Scientist to conduct innovative research and develop intelligent algorithms and system frameworks that optimize cost, performance, and scalability. The role focuses on leveraging machine learning and reinforcement learning to enhance storage and service efficiency under dynamic workloads, while bridging theoretical research with practical implementation through close collaboration with cross-functional teams.

Job Description:

• Conduct cutting-edge research in cloud computing, edge computing, service computing, and distributed storage systems.

• Design and develop novel algorithms and system frameworks for cost optimization, latency reduction, auto-tiering, caching, and cloud-edge collaborative data management.

• Apply advanced machine learning and reinforcement learning methods to optimize storage and service systems under dynamic workloads.

• Collaborate with researchers and project teams to translate theoretical advances into practical, scalable computing systems.

Job Requirements:

• PhD in Computer Science, Software Engineering, Distributed Systems, Cloud Computing, or a related field.

• Strong research background in service computing, cloud computing, edge computing, and distributed storage systems.

• Solid knowledge of optimization algorithms, system design, and intelligent resource management methods.

• Ability to work independently and effectively in collaborative research environments.

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

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

We are looking for a motivated Research Scientist to conduct innovative and impactful research in advanced machine learning, with a focus on recommendation systems, graph neural networks, and multimodal AI, by designing novel models and methodologies, and leveraging large-scale structured and unstructured data to enhance intelligent decision-making and real-world application performance.

Job Description:

• Conduct high-quality research in recommendation systems, graph neural networks, and multimodal machine learning.

• Design and develop novel AI models for sequential recommendation, cross-domain learning, self-supervised learning, and knowledge distillation.

• Analyze large-scale structured and unstructured data, including user behavior, graph data, and multimodal content such as text and images.

Job Requirements:

• PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related field.

• Strong research background in recommendation systems, graph neural networks, and multimodal representation learning.

• Solid programming and model development skills in machine learning and deep learning frameworks.

• Ability to work independently and collaboratively in academic and interdisciplinary research environments.

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

Key Responsibilities:

• Design, develop and improve products, systems, or processes in line with company objectives
• Conduct research, testing, and validation of new ideas and prototypes
• Prepare technical documentation, reports, and specifications
• Collaborate with cross-functional teams including operations, production, and sales
• Troubleshoot technical issues and provide engineering support when required
• Ensure compliance with industry standards and regulatory requirements

Requirements:

• Bachelor’s degree in Engineering (e.g. Electrical / Mechanical / Software Engineering) or related field
• Minimum [X] years of relevant working experience
• Strong problem-solving and analytical skills
• Proficiency in relevant tools/software (e.g. AutoCAD, SolidWorks, programming languages, etc.)
• Good communication and teamwork skills
• Ability to work independently and manage multiple tasks

Job Title: Research Engineer (Chemical-related)

JobType: Full-time (5-day work week, no OT, no shift)    

Location: 5-7 mins walk from Jurong East MRT station

Salary: SGD$3200-SGD$3700/month, subject to CPF.

Job Summary:

As a Research Engineer, you will be an integral part of our research and development team, responsible for performing experiments and optimizing processes related to the manufacturing of magnetic nanoparticles used in IVD testing kits. You will collaborate with a multidisciplinary team of scientists, engineers, and researchers to drive technological advancements in the IVD field.

Responsibilities:

1.    Conduct experiments in the wet lab to synthesize, characterize, and modify magnetic nanoparticles according to the project pipeline or the customer requirements.

2.    Design and execute protocols to produce magnetic nanoparticles, ensuring adherence to quality standards.

3.    Collaborate with cross-functional teams to develop innovative processes and techniques to enhance the efficiency and reliability of nanoparticle manufacturing.

4.    Analyze experimental data and present findings to the research team, contributing to the decision-making process.

5.    Troubleshoot and optimize experimental procedures to improve product performance and quality.

6.    Maintain accurate and detailed records of experimental procedures, protocols, and results.

7.    Stay up to date with the latest advancements in nanoparticle studies and characterization techniques in the IVD field.

Qualifications:

1.    Bachelor’s degree in Chemical Engineering, Chemistry, Materials Science, Chemical and Biomolecular Engineering, or a related field. Fresh graduates are welcome to apply.

2.    Strong knowledge of wet lab techniques and internship experience in synthesizing nanoparticles or related materials.

3.    Proficiency in nanoparticle characterization techniques, such as TEM, and SEM will be an advantage.

4.    Welling and able to work in the wet lab environment.

5.    Familiarity with formulation and optimization of chemical reactions.

6.    Experience in working with magnetic nanoparticles or similar nanomaterials is highly desirable.

7.    Knowledge of IVD testing methodologies and regulations is a plus.

8.    Excellent analytical and problem-solving skills.

9.    Strong attention to detail and ability to accurately document experimental procedures and results.

10. Effective communication and teamwork skills.

11. Professional with Microsoft Office.

Please state your availability and current salary on your resume for fast processing. We regret that only shortlisted candidates will be notified. Thank you.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting design and development of sensor networks and Internet-of-Things (IOT) systems for in-home sensing and machine learning models for analyzing digital biomarkers and human activity data for the purpose of cognitive health monitoring and wellbeing analysis. Successful candidate will join an active research team led by Prof TAN Ah Hwee from School of Computing and Information Systems, Singapore ManagementUniversity.

Candidate's core responsibilities are:

• Project administration, user management
• Design, deployment and maintenance of sensor networks and Internet of Things (IOT) system for in-home sensing of human behaviour and activities
• Integration of in-home sensors, home gateway, and backend cloud servers for data collection
• Development of software for digital biomarker feature extraction and data analytics
• Building of machine learning and predictive models based on digital biomarkers and spatial temporal data
• Documentation and preparation of technical reports
• Other duties as assigned

• Diploma or Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from an nstitution of higher learning
• Minimum 1-2 years of relevant research experience with sensors, Internet-of Things, data analytics, artificial intelligence, or related fields
• Good analytical, technical and problem solving skills
• Knowledge/Proficiency in hardware sensors, cloud computing, networking and programming languages, such as Python, Java and C/C++• Competency in application prototype design and development
• Good writing, communication and interpersonal skills

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for Centre on Security, Mobile Applications and Cryptography (SMC).
• Develop and enhance software supply chain security products.
• Write high quality core code based on product and technical requirements, conduct in depth technical research, and resolve complex engineering issues.
• Independently design, develop, and deliver system modules, while producing technical documentation in accordance with engineering standards.
• Other duties as assigned.

• Minimum Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning.
• At least 1 year of hands on experience in Go (Golang) development.
• Solid understanding of network protocols such as HTTP, HTTPS, and TCP, with knowledge of network proxy principles, packet capture and analysis, and troubleshooting methodologies.
• Proficiency in Linux development environments.
• Familiarity with container and orchestration technologies, including Docker, Podman, Docker Compose, and Kubernetes.
• Strong communication skills, with the ability to collaborate effectively within a team and independently solve technical problems. Preferred Qualifications.
• Experience with Java development in addition to Go.
• Prior experience developing cybersecurity or network security related products.

#LI-JN2