Software Engineer

Senior Software Engineer

Sr. Manager – R&D/Product Development Engineering – PCB Design & Simulation

Field Service Engineer - Power Quality

Intermediate / Senior Data Engineer

Principal Data Scientist

Business Process Manager – Supply Chain Management

Senior AI Engineer

Data Engineer

Role Description: <ul><li>SOFTWARE DEVELOPMENT: Partners to design and develop high quality software solutions by writing clean, maintainable and efficient codes.</li><li>AUTOMATION: Applies internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.</li><li>COLLABORATION: Partners with cross functional team of product managers, designers and other engineers to gather moderately complex requirements and deliver solutions that meet business needs.</li></ul> Responsibilities: <ul><li>SOFTWARE DEVELOPMENT: Partners to design and develop high quality software solutions by writing clean, maintainable and efficient codes.</li><li>AUTOMATION: Applies internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.</li><li>COLLABORATION: Partners with cross functional team of product managers, designers and other engineers to gather moderately complex requirements and deliver solutions that meet business needs.</li><li>TESTING &amp; DEBUGGING: Writes and maintains moderately complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.</li><li>CONTINUOUS IMPROVEMENT: Makes suggestions for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.</li><li>DOCUMENTATION: Drafts and maintains comprehensive documentation for moderately complex software applications, deployment processes and system configurations.</li><li>TECHNICAL SUPPORT: Provides technical support and troubleshooting for moderately complex issues with deployed applications to ensure minimal downtime and fast resolution.</li></ul> Requirements: <ul><li>Software Engineer: Minimum requirement of 3 years of relevant work experience.&nbsp;</li><li>React/Typescript/UI</li><li>Java/Spring Boot/Python/APIs</li><li>PostgreSQL</li><li>CI/CD pipelines</li><li>AWS/Azure Cloud Services</li></ul>

Responsibilities: <ul><li>Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.</li><li>Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.</li><li>Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs.</li><li>Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.</li><li>Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.</li><li>Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.</li><li>Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.</li><li>Typically reflects 5 years or more of relevant experience.</li><li>Experience with one or more of the following technologies:</li><li>React/Typescript/UI’s.</li><li>Java Spring Boot/ Python / API’s.</li><li>PostgreSQL.</li><li>CI/CD pipelines.</li><li>AWS Cloud Services.</li></ul>

Role Description: <ul><li>Sr. Manager is a senior engineering leader for high-speed PCB Design and Simulations.</li><li>They lead teams in designing, simulating, and validating high-performance high speed printed circuit boards for AI and Datacentre applications ensuring quality, performance, and manufacturability through strategic planning, technical guidance, and collaboration across cross-functional teams.</li><li>Responsibilities include team development, design and simulation strategy, project management, and continuous process improvement to meet deadlines, budget targets, and project performance goals.</li></ul> Responsibilities:&nbsp; <ul><li>Team Leadership &amp; Development: Lead, mentor, and develop teams of high-speed PCB design and simulation managers and engineers, focusing on their career growth and skill development.</li><li>Strategic Design and Simulation: Define and implement high speed design and simulation roadmaps, methodologies and best practices for signal integrity, power integrity, electromagnetic compatibility (EMC), radio frequency interference (RFI) and thermal analysis.</li><li>Cross-Functional Collaboration: Work closely with hardware, firmware, mechanical, and manufacturing teams to translate requirements into viable designs and resolve issues.</li><li>Project &amp; Resource Management: Oversee the management of multiple complex PCB design and simulation projects, ensuring they meet deadlines, budget requirements, and performance targets.</li><li>Technical Oversight: Provide technical guidance on PCB layout, schematic creation, and component selection, staying current with new technologies and design standards.</li><li>Design review and verifications: Conduct design and simulation reviews, providing strategic recommendations to optimize PCB performance and reliability.</li><li>Continuous improvement: Drive innovation and improvement in high-speed PCB design and simulation process. Stay current with emerging technologies, design standards (e.g. IPC), and simulation tools to enhance efficiency and maintain a competitive edge.</li><li>Quality and Validation: lead and drive accuracy in design and simulations, conduct design of experiments (DoE), plausibility check and sensitivity study of simulations, validate simulation results with experimental data, and design optimizations for first time right manufacturability (prototypes and mass production).</li></ul> Requirements: Candidate Desired Profile: <ul><li>Education: A bachelor’s degree in electrical or electronics engineering from a premier institute/university.</li><li>A master’s degree in a must</li><li>Experience: 17+ yrs extensive hands-on experience in high-speed PCB design and simulation with a proven track record of delivering complex projects.&nbsp;</li><li>Leadership: 8-10 years progressive leadership or management experience in leading and developing high-performing engineering teams. Experience in customer engagement and stakeholder management is essential.</li></ul> Technical Skills: <ul><li>Deep understanding of engineering principles for high-speed PCB design, signal integrity (SI), power integrity (PI), electromagnetic compatibility (EMC), radio frequency interference (RFI) and thermal incidents.</li><li>Deep understanding of PCB layout, schematic creation, routing, and manufacturability.&nbsp;</li><li>Expertise in high-speed PCB design tools such as Altium Designer, Allegro or PADS.&nbsp;</li><li>Expertise in high-speed PCB simulation tools for electrical and thermal analysis - Ansys SIwave/HFSS, Keysight Pathwave ADS, Keysight SIPro, Siemens HyperLyx, Cadence Sigrity, Dassault CST Studio Suite, Ansys EMC Plus, Cadence Microwave Office, and Ansys ICEPAK/Siemens FLOTHERM/Cadence CELSIUS.</li><li>Strong knowledge of industry standards (IPC, JEDEC, PCIe, USB, Ethernet) and PCB manufacturing processes, including design for manufacturability (DFM).&nbsp;</li></ul> Soft Skills: <ul><li>Proven abilities on inspiring leadership, team management, prioritisation, strategy and execution.</li><li>Experience in organizational development, and talent attraction/management/retention.</li><li>Promote and manage employee wellbeing and work-life balance.</li><li>Passion for Technology and scientific/engineering excellence.</li><li>Excellent problem-solving and analytical skills to resolve complex technical issues.</li><li>Strong in Technical Documentations, Report preparation and presentation</li><li>Strong verbal and written communication skills to articulate complex technical concepts to both technical and non-technical stakeholders.</li><li>Ability to work effectively in a fast-paced, collaborative global environment and global time zones.</li><li>Proficient using MS office software (Word, Excel, PPT, Outlook, MS Teams, etc.).</li></ul> What Your Background Should Look Like <ul><li>Generally requires Bachelors degree in appropriate field with 12 or more years of experience; or Masters with 10 or more years of experience; or PhD level with 6 or more years of experience; or local equivalent</li></ul>

Responsibilities: <ul><li>Perform site acceptance testing (SAT) and functional verification</li><li>Configure protection settings, communication protocols, and monitoring software.</li><li>Ensure compliance with project specs and safety standards.</li><li>Conduct preventive and corrective maintenance on LV/MV equipment.</li><li>Analyze power quality data using analyzers and software tools.</li><li>Provide on-site and remote technical support.</li><li>Maintain proper documentation and service records.</li></ul> Requirements: Qualifications:&nbsp; <ul><li>Minimum MBO Electrical Engineering or an education in another technical field&nbsp;</li><li>Work experience with UPS in a data center environment is an advantage&nbsp;</li><li>Has electrical engineering knowledge&nbsp;</li><li>Knowledge of procedures, regulations, safety, quality and environmental aspects&nbsp;</li><li>Safety VCA basic, NEN3140, or VCA full (is a plus)&nbsp;</li></ul> Skills:&nbsp; <ul><li>Has good communication skills and is proficient in spoken and written Dutch and English&nbsp;</li><li>You have no problem traveling within and outside the Netherlands (Benelux).&nbsp;</li><li>Can convince and bind people through enthusiasm and knowledge as well as&nbsp;</li><li>good communication&nbsp;</li><li>Willing to perform on-call duties and work irregular hours.&nbsp;</li></ul>

Responsibilities: <ul><li>Designing, implementing, and optimising scalable data pipelines using Python, PySpark, and Databricks.</li><li>Driving the delivery of customer-facing data products through APIs, Databricks-based sharing, and event-driven mechanisms (e.g., Kafka or similar).</li><li>Taking ownership of end-to-end features — from scoping and development to deployment and monitoring.</li><li>Leading and participating in technical design discussions, contributing to architectural improvements and long-term data strategy.</li><li>Mentoring and coaching junior engineers actively while supporting their technical and professional development.</li><li>Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.</li><li>Conducting peer code reviews, upholding code quality standards, and championing continuous improvement practices.</li><li>Contributing to the team’s agile delivery process and provide input during planning and retrospectives.</li></ul> Requirements: <ul><li>Have extensive experience in data engineering or backend software engineering with a data focus.</li><li>Be proficient in Python, PySpark, and working within Databricks environments.</li><li>Have hands-on experience designing and delivering data products via REST APIs, event-driven systems, or data sharing platforms like Databricks Delta Sharing.</li><li>Have a solid understanding of distributed data processing, ETL/ELT workflows, and data lake/lakehouse architectures.</li><li>Have experience with cloud platforms (e.g., AWS, Azure, GCP) and modern data tooling.</li><li>Have a proven track record of mentoring or coaching other engineers.</li><li>Have effective communication and collaboration skills, including the ability to explain complex concepts to non-technical stakeholders.</li><li>Be familiar with agile development practices</li></ul>

Responsibilities: <ul><li>Design, build, and optimise agentic systems capable of breaking down complex tasks into executable steps.&nbsp;</li><li>Innovate in context engineering strategies (retrieval-augmented generation, dynamic context construction, memory management) to maximise LLM effectiveness.&nbsp;</li><li>Select, fine-tune, and adapt large language models (LLMs) to align with agent objectives.&nbsp;</li><li>Enhance and extend evaluation frameworks for online and offline performance, efficiency, and success rates.&nbsp;</li><li>Select, benchmark, and host LLMs on Amazon SageMaker or EKS, comparing and optimising models to ensure agentic systems are fast, accurate, and cost-effective.&nbsp;</li><li>Own and prioritise a backlog of improvements to core intelligence, applying methods such as RLHF and self-learning agents.&nbsp;</li><li>Collaborate with AI engineering and product teams to deliver production-ready solutions.&nbsp;</li><li>Mentor and supervise junior data scientists and foster a culture of innovation, collaboration, and continuous improvement.&nbsp;</li></ul> Requirements: <ul><li>PhD in AI, Computer Science, Mathematics or a related field; or Master’s with equivalent experience.&nbsp;</li><li>Hands-on experience in LLMs or applied AI research in a commercial environment.&nbsp;</li><li>Proven expertise in context engineering, LLM fine-tuning, and evaluation of non-deterministic systems.&nbsp;&nbsp;</li><li>Strong programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch)&nbsp;</li><li>Strong problem-solving, analytical, and communication skills.&nbsp;</li><li>Demonstrated ability to work collaboratively with engineering and product stakeholders in an agile environment.&nbsp;</li></ul>

Responsibilities: Process Analysis and Evaluation: <ul><li>Conduct comprehensive analysis of existing business processes to identify bottlenecks, inefficiencies, and areas for improvement.</li><li>Summarize from massive &amp; unstructured data/information into presentable format for stakeholders’ review</li><li>Collaborate with stakeholders to understand business requirements and align process changes with strategic goals.</li><li>Utilize data-driven insights to identify key performance indicators (KPIs) and measure process performance and outcomes.</li></ul> Process Design and Implementation: <ul><li>Develop and design streamlined processes and procedures that enhance productivity, reduce costs, and improve overall operational efficiency.</li><li>Ensure that new processes are clearly documented, communicated to relevant teams, and effectively implemented.</li><li>Work with cross-functional teams to gain buy-in and ensure smooth integration of process changes.</li></ul> Process Monitoring and Optimization: <ul><li>Establish mechanisms for ongoing monitoring and evaluation of implemented processes to identify potential issues or deviations.</li><li>Regularly analyze performance data, gather feedback, and adjust as needed to continuously improve processes.</li><li>Implement best practices and industry standards to further optimize business processes.</li></ul> Change Management and Leadership: <ul><li>Lead change management initiatives to foster a culture of continuous improvement and process excellence.</li><li>Engage and educate employees at all levels on process changes, addressing concerns, and promoting adoption.</li><li>Provide guidance and support to teams during the transition phase and ensure adherence to new processes.</li><li>Strong stakeholder management which able to convince stakeholders on proposed improvements for better process across functions</li></ul> Continuous Improvement: <ul><li>Ensure improvements are standardized, documented, and scalable across the organization.</li><li>Identify opportunities to automate processes and integrate technology solutions to streamline workflows and improve operational efficiency.</li><li>Monitor industry trends and best practices related to BPMN and process documentation to drive ongoing improvements.</li><li>Key Performance Indicator (KPIs)</li></ul> End-to-end process maturity: <ul><li>Achievement of process KPI targets</li><li>Consistent service level provided to key stakeholders</li></ul> Requirements: <ul><li>Bachelors degree in Business Administration, Management, Engineering, Supply Chain or a related field. Masters degree is a plus.</li><li>Min 8 years of Industry experience.</li><li>Proven experience (typically 5+ years) in business process management, process improvement, Supply Chain , Manufacturing or related roles.</li><li>Fluent English</li><li>Experience in driving for process improvements in the area of Supply Chain or Manufacturing</li><li>Strong analytical and problem-solving skills with a data-driven approach to decision-making.</li><li>Excellent project management skills with the ability to lead cross-functional teams effectively.</li><li>Strong communication and interpersonal skills to collaborate with diverse stakeholders.</li><li>Knowledge of process improvement methodologies such as Lean, Six Sigma, or BPMN (Business Process Model and Notation).</li><li>Familiarity with process modeling and workflow software tools.</li><li>Ability to adapt to a dynamic and fast-paced work environment</li><li>Need to have experience in program/project management</li><li>Solid experience facilitating and moderating process mapping &amp; improvement workshop</li><li>Consulting experience on any ERP solutions would be ideal</li></ul>

Responsibilities: <ul><li>Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.&nbsp;</li><li>Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.&nbsp;</li><li>Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs.&nbsp;</li><li>Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.&nbsp;</li><li>Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.&nbsp;</li><li>Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.&nbsp;</li><li>Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.&nbsp;</li><li>Typically reflects 5 years or more of relevant experience.&nbsp;</li><li>Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.&nbsp;</li></ul>

Role Description: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Transition legacy data systems to Databricks.</li><li>Build and maintain robust, scalable data pipelines.</li><li>Work closely with subject matter experts, product teams, and stakeholders to understand business logic.</li><li>Apply best practices in data engineering and programming.</li><li>Mentor junior engineers and contribute to knowledge sharing.</li><li>Participate in code reviews and technical discussions.</li></ul> Requirements: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul> Why Join Us <ul><li>Opportunity to work on a strategic, high-impact data platform transformation.</li><li>Exposure to cutting-edge technologies including Databricks and cloud platforms.</li><li>Collaborative, inclusive team culture with strong mentorship.</li><li>Clear opportunities for career growth and skill development.</li></ul>

Role Overview: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.&nbsp;</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Lead the transition of legacy data systems to Databricks, ensuring reliability and performance.</li><li>Design, build, and maintain robust, scalable data pipelines to support analytical and operational use cases.</li><li>Collaborate closely with subject matter experts, product teams, and business stakeholders to understand and implement business logic accurately.</li><li>Apply data engineering and programming best practices to ensure high-quality, maintainable, and secure solutions.</li><li>Mentor junior engineers, fostering technical growth and promoting knowledge sharing across the team.</li><li>Participate in code reviews, architectural discussions, and technical decision-making to uphold engineering standards.</li></ul> Requirements:&nbsp; Required Skills &amp; Experience: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience: <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul>

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66 software ag Jobs found

Software Engineer

Senior Software Engineer

Sr. Manager – R&D/Product Development Engineering – PCB Design & Simulation

Field Service Engineer - Power Quality

Intermediate / Senior Data Engineer

Principal Data Scientist

Business Process Manager – Supply Chain Management

Senior Software Engineer

Senior AI Engineer

Data Engineer

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66 software ag Jobs found

Software Engineer

Senior Software Engineer

Sr. Manager – R&D/Product Development Engineering – PCB Design & Simulation

Field Service Engineer - Power Quality

Intermediate / Senior Data Engineer

Principal Data Scientist

Business Process Manager – Supply Chain Management

Senior Software Engineer

Senior AI Engineer

Data Engineer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.