Sr. R&D Product DVL Engineer

Software Engineer

Senior Software Engineer

Asst Area Sales Manager

Buyer/Planner

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Data Engineer

Senior Officer / Manager– Trade Specialist, Import and Export

Responsibilities: <ul><li>Understand Mechanical, Electrical, Environmental, and other requirements to design and develop next-generation electrical interconnect products to support the team’s focus within Outdoor LED Lighting and harsh environment connectivity.&nbsp;</li><li>Handle all aspects involved in New Product Development process from initial requirements gathering to production phase.&nbsp;</li><li>Generate concepts and detailed designs using development methods such as DFMEA, Tolerance Analysis, DFSS, etc.&nbsp;</li><li>Coordinate the execution of design validation product testing and certification according to international standards.&nbsp;</li><li>Design and documentation of precision stamped and molded electromechanical component assemblies.&nbsp;</li><li>De-risk product design by initiating and/or performing FEM and support analysis for critical items.&nbsp;</li><li>Engage directly with customers to clearly present designs for technical review and comment.&nbsp;</li><li>Optimize product designs for cost-efficient and high-quality manufacturing (DFM).&nbsp;</li><li>Utilize Design to Value (DTV) methodology to optimize product cost to increase product competitiveness.&nbsp;</li><li>Review and comment on First Article Approvals, Process Capability Studies, 8D reports, and other quality product analyses.&nbsp;</li><li>Work with Product Lifecycle Management, engineering documentation, and change management systems.&nbsp;</li><li>Engage with multi-functional global project teams consisting of Sales, Product Management, Project Management, Operations/Manufacturing, Quality, Global Product Approvals, and Outside Vendors.&nbsp;</li><li>Troubleshoot design issues during testing and production startup.&nbsp;</li></ul> Requirements: What Your Background Should Look Like&nbsp; <ul><li>Proven experience using 3D CAD design tools (Creo experience is a plus).&nbsp;</li><li>Experienced in Microsoft Office applications.&nbsp;</li><li>Knowledge of LEAN Product Development Cycle and Processes.&nbsp;</li><li>Experience in design of small plastic or metal components.&nbsp;</li><li>Basic knowledge in the selection of plastic or metal base materials and evaluation of material properties.&nbsp;</li><li>Demonstrated knowledge and use of finite element modeling/analysis to enable design refinement (Ansys experience preferred).&nbsp;</li><li>Ability to interact with customers to gather needs, transfer into technical requirements, and deliver conceptual solutions.&nbsp;</li><li>Ability to communicate effectively and accurately across multi-cultural groups.&nbsp;</li><li>Self-motivated, adaptive, passionate about results, and a good team player.&nbsp;</li><li>Strong technical aptitude with willingness to learn new technologies quickly.&nbsp;</li><li>Demonstrated experience of working in a fast-paced/changing environment&nbsp;</li><li>with the ability to work to tight deadlines, changing priorities, and multiple projects.&nbsp;</li><li>Knowledge of Global Certifications and Regulatory Standards (UL, IEC, etc.) is an added advantage.&nbsp;</li><li>Fluent communication and presentation skills in English.&nbsp;</li><li>Knowledge in basic quality techniques and engineering change management.&nbsp;</li><li>Experience in design of experiments/test plan development to support design validation activities.&nbsp;</li><li>7+ years minimum experience working in an engineering capacity.&nbsp;</li><li>Bachelor’s or Master’s Degree in an engineering field (Mechanical Engineering preferred).</li><li>Domestic travel may be required.</li></ul>

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>The Area Sales &amp; Business Development Manager Congo will be responsible for managing sales operations within a specific geographical region, focusing on building relationships with distributors, retailers, and users to achieve sales targets and grow business within the Congolese market.</li></ul> Responsibilities: <ul><li>Delivering sales targets within assigned territory by driving the core business and identifying new business opportunities.</li><li>Responsible for demand generation of key products through relevant user marketing to achieve desired results.&nbsp;</li><li>Managing relationships with importers, important wholesale &amp; retail outlets &amp; potential influencers.&nbsp;</li><li>Ensure timely Primary Order collection and maintaining commercial hygiene, pricing for country.</li><li>Support leadership to drive the BTL objectives aligned for the said cluster/ region. In addition, conduct monthly business reviews with local team against the said BTL target and prepare way forward plans with distributors, local teams with proper maintenance of data base for sales &amp; demand generation for focused products as applicable.</li><li>Working regularly in the market and providing insights basis product usage, competitor information and charting a proper plan to address the same.&nbsp;</li><li>Ensuring timely submission of claims with proper documentation as applicable to the categories in the country.</li></ul> Requirements: <ul><li>Candidates with Min 3 Years experience in Managerial Sales or User Marketing roles.</li><li>Should be well versed with the local language (Lingala), French and English.</li><li>Candidates from Paints &amp; Hardware, Adhesives, Construction Chemical and Building Materials will be preferred.</li><li>Graduate from a recognized university.</li></ul> Location: <ul><li>Kinshasa:Should be well versed with local language- Lingala besides French &amp; English</li><li class="ql-align-justify">Lubumbashi: Should be well versed with local language- Swahili besides French &amp; English</li></ul>

Responsibilities: <ul><li>Develop and execute purchase orders for raw materials, packaging components, consumables, and services in accordance with approved supplier lists and site requirements.</li><li>Maintain optimal inventory levels by balancing material availability with cost-effective order quantities.</li><li>Collaborate with Production Planning and Supply Chain to align material purchases with manufacturing schedules.</li><li>Participate and represent the site in the routine S&amp;OP meeting.</li><li>Monitor supplier performance, including on-time delivery, quality, and responsiveness, and drive corrective actions as needed.</li><li>Negotiate pricing, terms, and contracts with suppliers to achieve cost savings and value-added agreements.</li><li>Maintain accurate purchasing and planning data in the ERP system, ensuring alignment with master data and inventory control requirements.</li><li>Identify and qualify alternative suppliers to mitigate supply risks and ensure business continuity.</li><li>Coordinate with Quality Assurance and Quality Control to ensure incoming materials meet specifications and quality standards.</li><li>Support new product introduction by sourcing and securing materials in alignment with project timelines.</li><li>Generate and track Production Orders through release to ensure on time, in full deliveries to customers.</li><li>Track and report key procurement and planning metrics, such as supplier on-time delivery, inventory turns, and purchase price variance.</li><li>Ensure compliance with all cGMP, DEA, and regulatory requirements for the procurement and handling of controlled substances and high potent materials.</li><li>Participate in cross-functional process improvement initiatives to enhance supply chain efficiency and reliability</li></ul> Requirements: Qualifications / Experience: <ul><li>Bachelor’s degree in Supply Chain Management, Business Administration, or related field preferred; equivalent work experience considered.</li><li>Minimum of 3 years of procurement, planning, or supply chain experience in a cGMP-regulated pharmaceutical, biotechnology, or related manufacturing environment.</li><li>Experience with controlled substances, high potent APIs, and regulated material handling preferred.</li><li>Strong knowledge of ERP/MRP systems, purchasing processes, and inventory control principles.</li><li>Familiarity with cGMP, DEA, and FDA requirements related to materials management.</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>

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>

Responsibilities: <ul><li>Accurately process trade finance transactions, including Letters of Credit (LC), Standby Letters of Credit (SBLC), Documentary Collections, and Trade Loans.</li><li>Ensure timely and accurate execution of trade finance transactions, adhering to internal policies and regulatory requirements.</li><li>Verify trade documents for completeness and compliance with UCP 600, ISBP, and other relevant trade finance govering rules and regulations.</li><li>Liaise with counterparties and internal stakeholders to address inquiries and resolve issues related to trade finance transactions.</li><li>Maintain accurate records of all trade finance transactions and activities, daily reconcilaition.</li><li>Assist in resolving operational issues and ensuring seamless trade finance operations.</li></ul> Requirements: <ul><li>Minimum 3 years of Trade Finance Operations experience.</li><li>Sound knowledge in International Trade Governing Rules of UCP, ISBP, URC, URR, Incoterms.</li><li>Familitarity with AML/CFT Guidelines for Trade Finance.</li><li>Meticulous and possess a keen eye for details.</li><li>Strong analytical, problem-solving, follow-up and communications skills.</li><li>Able to work independently and a strong team player.</li><li>Proficient in Microsoft Office applications.</li></ul>

Skills

Industry

Location

Jobtitle

90 the cloud cost officer Jobs found

Sr. R&D Product DVL Engineer

Software Engineer

Senior Software Engineer

Asst Area Sales Manager

Buyer/Planner

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Data Engineer

Senior Officer / Manager– Trade Specialist, Import and Export

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

Skills

Industry

Location

Jobtitle

90 the cloud cost officer Jobs found

Sr. R&D Product DVL Engineer

Software Engineer

Senior Software Engineer

Asst Area Sales Manager

Buyer/Planner

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Data Engineer

Senior Officer / Manager– Trade Specialist, Import and Export

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

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