Portfolio Marketing Manager - Commercial HVAC Solutions

Software Engineer – Ag & Trade

Consultant Infrastructure & Operations (SAM)

Project Manager PMO II

VP, Engineering Manager

Principal Component Validation Engineer (HBM)

Mechanical Maintenance Engineer - Automation Technology

Senior Field Application Engineer (Sr. FAE)

Lead Quality Automation Engineer

Intermediate App Developer – Production Engineering, Java

Responsibilities:&nbsp; <ul><li>Develop and execute go-to-market strategies, including portfolio positioning, target audiences, messaging frameworks, launch plans, and KPIs.&nbsp;</li><li>Translate market, customer, and product insights into clear, differentiated value propositions.&nbsp;</li><li>Lead commercialization activities for new product introductions and portfolio growth initiatives.&nbsp;</li><li>Create and manage marketing campaigns tailored to different customer segments, personas, and buying journeys.&nbsp;</li><li>Conduct persona mapping and customer journey analysis to better understand decision-making processes and engagement needs.&nbsp;</li><li>Develop sales enablement tools, competitive insights, presentations, training materials, and customer-facing content.&nbsp;</li><li>Train and support sales teams on value propositions, market positioning, and customer engagement strategies.&nbsp;</li><li>Support business development activities by equipping sales teams with the tools and insights needed to identify and win opportunities.&nbsp;</li><li>Prioritize and support the development of digital tools such as ROI calculators, product selection tools, and competitive comparison resources.&nbsp;</li><li>Coordinate input from Product Management, Sales, Marketing, Engineering, and Supply Chain teams to deliver cohesive commercialization plans.&nbsp;</li><li>Continuously optimize go-to-market strategies using customer feedback, market insights, and performance data.&nbsp;</li><li>Monitor market trends and customer needs to identify growth opportunities and strengthen portfolio performance.&nbsp;</li></ul>&nbsp;Requirements:&nbsp; <ul><li>University education in&nbsp;&nbsp;Engineering, Marketing, Business, or a related field.&nbsp;</li><li>3 to 8 years of experience within the HVAC industry.&nbsp;</li><li>Background in product marketing, portfolio marketing, technical marketing, application engineering, sales, or a related commercial role.&nbsp;</li><li>Strong understanding of the commercial HVAC sales channel and customer buying process.&nbsp;</li><li>Experience supporting product launches, commercialization activities, and go-to-market initiatives.&nbsp;</li><li>Excellent communication, presentation, and stakeholder management skills.&nbsp;</li><li>Customer-oriented mindset, analytical skills, business acumen and strong execution skills&nbsp;&nbsp;&nbsp;</li><li>Ability to translate technical concepts into compelling customer-focused messages and value propositions.&nbsp;</li><li>Strong commercial awareness and customer-centric mindset.&nbsp;</li><li>A proactive, hands-on approach and a strong sense of ownership.&nbsp;</li><li>Excellent stakeholder management and influencing skills.&nbsp;</li><li>Fluent in English. Other European languages are an asset.&nbsp;&nbsp;</li></ul>

Responsibilities: Software Development: <ul><li>Design, develop, test, and maintain scalable software applications using Java Spring Boot and JavaScript for backend and frontend development, respectively. Build clean, reusable, maintainable, and well-tested code following software engineering best practices.</li></ul> Full Stack Application Development: <ul><li>Develop end-to-end web and mobile applications using Java Spring Boot, React or React Native, backend APIs, database integrations, and modern UI frameworks to deliver intuitive user experiences.</li><li>Design and develop secure RESTful APIs, backend services, authentication mechanisms, and data access layers while ensuring application scalability and performance.</li></ul> AI Enable Engineering: <ul><li>Leverage AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, Claude, Amazon Q, or similar tools to improve engineering productivity.</li><li>Experience integrating LLM APIs or AI-powered capabilities into applications is desirable.</li></ul> Collabration: <ul><li>Collaborate with Product Managers, Business Analysts, UX Designers, QA Engineers, Architects, and cross-functional engineering teams to understand business requirements and deliver scalable software solutions.</li><li>Participate in sprint planning, technical discussions, estimation, backlog refinement, and Agile ceremonies.</li></ul> Testing &amp; Quality: <ul><li>Develop unit tests, integration tests, and participate in peer code reviews to ensure software quality, maintainability, reliability, and performance.</li><li>Follow secure coding standards and engineering best practices.</li></ul> Cloud &amp; Devops: <ul><li>Contribute to CI/CD pipelines and cloud-native application deployments using technologies such as Docker, Kubernetes, Azure, AWS, GitHub Actions, or Azure DevOps.</li></ul> Continous Improvement: <ul><li>Identify opportunities to improve software architecture, engineering standards, automation, developer productivity, and application performance.</li><li>Adopt AI-assisted engineering workflows and modern software development practices.</li></ul> Technical Support: <ul><li>Troubleshoot production issues, perform root cause analysis, and resolve application issues while ensuring minimal business disruption.</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent practical experience).</li><li>3–5 years of professional software development experience.</li><li>Minimum 3+ years of hands-on full-stack development experience.</li><li>Experience developing production-grade web or mobile applications (not academic or personal projects).</li><li>Strong proficiency in Java Spring Boot and JavaScript.</li><li>Experience developing applications using React or React Native.</li><li>Experience developing backend services using Node.js or equivalent backend technologies.</li><li>Strong understanding of REST API development.</li><li>Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or equivalent.</li><li>Strong knowledge of Git and modern software engineering practices.</li><li>Experience working in Agile/Scrum teams.</li><li>Strong understanding of object-oriented programming, software design principles, and data structures.</li></ul>

Responsibilities: <ul><li>Software Asset Lifecycle Management: Own end-to-end software asset lifecycle management from request, deployment, usage, optimization, and retirement. Maintain accurate and audit-ready software inventories and entitlement records. Ensure effective software normalization and reconciliations</li><li>License Compliance &amp; Audit Management: Ensure ongoing compliance with software licensing agreements by identifying and remediating compliance gaps and over deployment risks</li><li>Cost Optimization: Analyse software usage data to identify optimization and cost reduction opportunities, support contract renewals, license negotiations, and true-up planning with data-driven insights</li><li>Tools &amp; Data Management: Administer and operate SAM tools, ensure data accuracy across systems, and report for license compliance, deployment, and spend visibility</li><li>Process &amp; Continuous Improvement: Maintain and continuously improve SAM policies, standards, and operating procedures aligning with ISO/IEC 19770, ITIL and internal governance frameworks</li></ul> Requirements: <ul><li>Bachelor’s degree in IT or Computer Science from Tier 1 Engineering institute</li><li>6+ years of hands-on experience in Software Asset Management</li><li>Deep understanding of software licensing models and metrics (user, device, core, processor, subscription, BYOL, SaaS)&nbsp;</li><li>Proven experience handling complex enterprise software estates and managing publisher audits independently</li><li>Hands-on experience working with SAM tools such as Flexera, ServiceNow SAM Pro.</li><li>Experience working on high-impact global projects, strategic initiatives, and change management initiatives</li><li>Excellent communication and ability to work independently as an individual contributor and collaborate effectively with cross-functional teams</li></ul>

Responsibilities: <ul><li>Drive PMO governance across multiple engineering projects.</li><li>Manage project portfolio tracking and governance activities.</li><li>Prepare and maintain leadership dashboards and executive reports.</li><li>Track project KPIs, milestones, risks, issues, and action items.</li><li>Facilitate Gate Phase/Toll Gate reviews and governance meetings.</li><li>Support New Product Introduction (NPI) projects throughout the product lifecycle.</li><li>Manage APQP and project documentation.</li><li>Standardize PMO processes and governance frameworks.</li><li>Drive Continuous Improvement initiatives using Lean/Kaizen methodologies.</li><li>Coordinate with global cross-functional engineering teams.</li><li>Support leadership reviews and executive decision-making through accurate reporting.</li></ul> Requirements: <ul><li>3–6 years of experience in PMO, Project Management, or Program Management.</li><li>Bachelors Degree in Engineering (BE/B.Tech) only.</li><li>Experience working in manufacturing or industrial organizations.</li></ul> Strong experience in: <ul><li>PMO Governance</li><li>Project Portfolio Management</li><li>Gate Phase / Toll Gate Process</li><li>APQP &amp; Documentation Management</li><li>Training Global Teams</li><li>Leadership / PMI Dashboards</li><li>Advanced Excel</li><li>New Product Introduction (NPI)</li><li>Executive Reporting</li><li>Stakeholder Management</li><li>Continuous Improvement (Lean / Kaizen)</li></ul> Preferred: <ul><li>Experience with Planisware or MS Project.</li><li>Exposure to Power BI or similar reporting tools.</li><li>Knowledge of Agile methodology.</li><li>PMI/PMP certification is an advantage.</li><li>Experience supporting engineering or product development organizations.</li></ul>

Responsibilities: People, Talent and Cross-Functional Collaboration:&nbsp; <ul><li>Ensure optimal staffing levels across front-end, back-end, full-stack, and platform specializations.&nbsp;</li><li>Hire, coach, and develop top-tier engineering talent.</li><li>Manage direct reports and technical leads, address performance issues promptly, and build strong relationships with Product, Design, Platform, Data, and agile train leadership to deliver cohesive, customer-focused solutions.</li><li>Community of Practice, Developer Experience and AI-Driven Engineering: As AI tooling becomes inseparable from modern engineering practice, own the convergence of Community of Practice standards and AI adoption as a single discipline.&nbsp;</li><li>Foster best practice adoption across the engineering community with AI tooling treated as a first-class part of the practice.</li><li>Define standards for responsible AI adoption — including when to use AI coding assistants, agents, skills, and MCP integrations versus traditional approaches.</li><li>Establish clear guidance on the distinction between AI Skills (deterministic capabilities) and Agents (autonomous, multi-step workflows). </li><li>Evaluate, pilot, and roll out AI tools (GitHub Copilot, Claude Code, Cursor, Windsurf, Continue.dev, Aider, Cline, Ollama). </li><li>Define governance for AI use in regulated financial services contexts including data handling, PII protection, IP compliance, and code provenance. </li><li>Track and measure the combined impact of CoP practices and AI adoption on cycle time, PR throughput, defect rates, and developer satisfaction.</li><li>System Architecture and Technical Direction: Own a modern view of system architecture spanning client, server, data, integration, and AI layers.&nbsp;</li><li>Champion patterns such as micro-frontends, BFF, event-driven, API-first, serverless, and composable architectures.&nbsp;</li><li>Partner with Enterprise Architects on platform alignment.&nbsp;</li><li>Guide trade-off decisions (monolith vs. microservices, sync vs. async, build vs. buy). Use AI-powered architecture tools to accelerate design exploration and generate ADRs.</li><li>Ensure teams document decisions so both humans and AI agents can reason about the system. </li><li>Understand how AI tools interact with system architecture — including RAG, vector databases, MCP integrations, and agentic workflows.</li></ul> Strategic Planning, Delivery and Operational Excellence:&nbsp; <ul><li>Ensure plans align with CoP goals, review quarterly commitments to flag risks early, and step in to resolve conflicts between product, design, and engineering.&nbsp;</li><li>Drive CI/CD best practices, ensure high-quality scalable solutions across the stack, and provide on-call support during escalations.&nbsp;</li><li>Support tech leads hands-on when needed, regardless of which layer of the stack the problem lives in.</li></ul> Requirements: <ul><li>Strong hands-on background in modern front-end technologies (ReactJS, TypeScript, NextJS, Cypress) as an anchor foundation, with working knowledge of back-end technologies, APIs, microservices, and data layer concepts.&nbsp;</li><li>Experience with AWS cloud services, CI/CD pipelines, and modern DevOps practices.&nbsp;</li><li>Proven ability to lead engineers working across the full stack.</li><li>Solid grounding in system architecture fundamentals — distributed systems, scalability, CAP trade-offs, caching, messaging, API design — and familiarity with modern patterns (micro-frontends, BFF, event-driven, CQRS, serverless, composable architectures).&nbsp;</li><li>Experience making and documenting architecture decisions (ADRs), with understanding of how AI-native architecture (RAG pipelines, vector databases, agent orchestration) differs from traditional architecture.</li><li>Hands-on experience with AI coding assistants (GitHub Copilot, Claude Code, Cursor, or equivalent) with clear understanding of the difference between AI Skills and Agents, familiarity with MCP (Model Context Protocol), RAG patterns, and experience defining AI usage guidelines and governance frameworks for regulated environments.&nbsp;</li><li>Awareness of the open-source AI tooling ecosystem (Continue.dev, Aider, Cline, Ollama).</li><li>Proven experience leading and growing high-performing engineering teams, running or contributing to a Community of Practice, and strong communication skills with the ability to influence across organizational levels.</li></ul>

Responsibilities: <ul><li>Coordinate with internal and external teams to prepare silicon validation activities.</li><li>Partner with manufacturing teams to ensure required resources are available.</li><li>Identify, evaluate, and validate HBM Component Validation equipment and testing flows.</li><li>Ensure silicon performance meets product expectations.</li><li>Debug failures, identify root causes, and implement design or process fixes.</li><li>Collaborate with Design Validation (DV), Quality Assurance (QA), and Global Quality (GQ) teams on customer returns and reliability improvements.</li><li>Partner with Engineering, Manufacturing, and Marketing organizations.</li><li>Develop, troubleshoot, and validate HBM component validation test programs.</li><li>Review datasheets and provide feedback to Application Engineers.</li><li>Prioritize activities across multiple cross-functional teams.</li><li>Provide technical leadership, mentoring, and On-the-Job Training (OJT) for engineers.</li><li>Support technical presentations, seminars, and product-specific expertise.</li></ul> Requirements: <ul><li>Bachelors or Masters Degree with a minimum of 10 years of experience, preferably within the memory semiconductor industry.</li><li>Strong programming experience with Linux, Python, C/C++, Verilog, UVM, and version control systems (Git, SVN).</li><li>Excellent analytical, debugging, and problem-solving skills.</li><li>Strong communication, presentation, and data analytics capabilities.</li><li>Basic understanding of HBM and/or DRAM operation and computer networking.</li><li>Self-motivated with the ability to work effectively in collaborative team environments.</li></ul>

Responsibilities: This position is responsible for mechanical maintenance and assembling automation systems in the manufacturing. <ul><li>Maintenance work on mechanical, electronic and pneumatic systems, including inspections, cleanings and lubrications.</li><li>Creation of machine safety concepts and machine data concepts.</li><li>Design and optimization of automation solutions for production plants using PLC controllers, robotics, industrial image processing, drive technology, testing technology, safety technology and other automation technologies.</li><li>Programming and commissioning of PLC controllers, safety controllers and HMI systems.</li><li>Mechanical design, assembly and wiring of machines and plants.</li><li>Integration of robotic systems and other automated components into existing production processes.</li><li>Functional tests and performance tests on automation systems, troubleshooting and optimization of control programs.</li><li>Preparation of technical documentation, operating instructions and training material.</li><li>Collaboration in planning and implementing projects for modernization and expansion of our production facilities.</li><li>Support in training of new employees in using new automation technologies.</li><li>Introduction of Industry 4.0 technologies (such as 3D printing, AMR, predictive maintenance, simulation, ).</li></ul> Requirements: <ul><li>Bachelors Degree in preferably mechanical engineering, automation engineering, mechatronics or a similar qualification.</li><li>Min 3 years of experience in industrial automation.</li><li>Knowledge of Cam-controlled machines like: Bihler (prefered), Wafios, Finzer.</li></ul>

Role Description: <ul><li>As a Senior Field Applications Engineer (FAE) at our client, you will be the technical face of ICT new technology connector solutions.</li><li>You will partner closely with account managers, product managers and end customers to drive new business through engineering and design-in support.</li><li>This role bridges our client products and customer designs, guiding requirements discovery, product selection, specification, and validation.</li><li>Core focus areas: e-mobility, high-speed data connectivity, low voltage and electromechanical solutions.</li><li>You will capture Voice of Customer insights to influence roadmaps and identify application opportunities.</li></ul> Responsibilities: <ul><li>Partner with account managers to support customers with engineering and design-in guidance.</li><li>Translate application requirements into connector and interconnect solutions.</li><li>Lead technical discussions in customer engagements.</li><li>Support specification and validation activities.</li><li>Capture Voice of Customer, market trends, and competitive benchmarks.</li><li>Support events like customer Techdays and trade shows.</li><li>Manage multiple stakeholders and collaborate cross-functionally with sales, product management, and engineering.</li></ul> Requirements: Experience Required: <ul><li>5+ years of experience in applications engineering, FAE, or technical sales.</li><li>Engineering degree preferred (Mechanical, Electrical, or similar STEM discipline).</li><li>Experience with connectors/interconnect systems preferred.</li><li>Strong customer-facing communication and influencing skills.</li><li>Ability to work independently and manage multiple priorities.</li></ul> Additional Qualifications <ul><li>Strong technical knowledge of connectors and cable assemblies.</li><li>Experience translating customer requirements into product specifications.</li><li>Exposure to e-mobility, high-speed data, and electromechanical systems.</li><li>Experience with Voice of Customer and competitive benchmarking.</li><li>Strong organizational and stakeholder management skills.</li><li>Willingness to travel.</li></ul>

Role Description: <ul><li>We are seeking an experienced Lead Quality Automation Engineer to join our growing Quality Engineering practice in Leeds.&nbsp;</li><li>This role is suited to a highly technical Quality Engineer who enjoys solving complex engineering challenges while working directly with clients across multiple industries.&nbsp;</li><li>You will play a key role in designing automation solutions, driving engineering best practices, mentoring team members, and helping organisations modernise their quality engineering capabilities.&nbsp;</li><li>As a Lead Quality Automation Engineer, you will remain hands-on with automation development while providing technical leadership across delivery teams.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Design, develop and maintain scalable automated testing frameworks for enterprise applications.&nbsp;&nbsp;</li><li>Deliver high-quality automation solutions using modern testing tools and object-oriented programming languages.&nbsp;&nbsp;</li><li>Work collaboratively with software engineers, architects, product owners, and business stakeholders throughout the software development lifecycle.&nbsp;&nbsp;</li><li>Champion Shift-Left Quality Engineering practices by embedding testing early in the development process.&nbsp;&nbsp;</li><li>Analyse application source code to identify defects, improve test coverage, and support overall software quality.&nbsp;&nbsp;</li><li>Contribute to Continuous Integration and Continuous Delivery (CI/CD) pipelines to enable efficient automated testing.&nbsp;&nbsp;</li><li>Apply AI-assisted engineering tools and Generative AI technologies to improve testing efficiency and engineering productivity.&nbsp;&nbsp;</li><li>Provide technical leadership, mentoring, and guidance to junior engineers and project teams.&nbsp;&nbsp;</li><li>Support clients in adopting modern Quality Engineering practices and continuous improvement initiatives.&nbsp;&nbsp;</li><li>Participate in technical discussions, solution design, and engineering governance activities.&nbsp;&nbsp;</li></ul> Requirements: <ul><li>Proven experience in Quality Engineering and Test Automation within enterprise environments.&nbsp;&nbsp;</li><li>Hands-on experience developing and maintaining automation frameworks.&nbsp;&nbsp;</li><li>Strong programming experience in one or more object-oriented languages such as Java, Python, C#, JavaScript, or TypeScript.&nbsp;&nbsp;</li><li>Experience with modern automation frameworks such as Playwright, Selenium, or equivalent.&nbsp;&nbsp;</li><li>Experience working with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform.&nbsp;&nbsp;</li><li>Good understanding of Continuous Integration and Continuous Delivery (CI/CD) principles.&nbsp;&nbsp;</li><li>Experience working with AI productivity tools such as GitHub Copilot, Claude, or similar technologies.&nbsp;&nbsp;</li><li>Strong understanding of software development lifecycle (SDLC) and Shift-Left Testing methodologies.&nbsp;&nbsp;</li><li>Excellent communication and stakeholder management skills with the ability to work directly with clients.&nbsp;&nbsp;</li><li>Demonstrated ability to work independently while managing multiple priorities.&nbsp;&nbsp;</li></ul> Preferred Qualifications&nbsp; <ul><li>Commercial experience implementing Generative AI solutions within Quality Engineering.&nbsp;&nbsp;</li><li>Experience working within consulting or professional services organisations.&nbsp;&nbsp;</li><li>Knowledge of Agentic AI concepts.&nbsp;&nbsp;</li><li>Familiarity with LangChain and LangGraph.&nbsp;&nbsp;</li><li>Experience mentoring engineers and providing technical leadership.&nbsp;&nbsp;</li><li>Exposure to both public and private sector projects.&nbsp;&nbsp;</li></ul> Personal Attributes&nbsp; The successful candidate will demonstrate:&nbsp; <ul><li>Strong analytical and problem-solving skills.&nbsp;&nbsp;</li><li>Excellent verbal and written communication abilities.&nbsp;&nbsp;</li><li>Adaptability in fast-paced consulting environments.&nbsp;&nbsp;</li><li>A continuous learning mindset with evidence of ongoing professional development.&nbsp;&nbsp;</li><li>A collaborative approach with the ability to influence technical and non-technical stakeholders.&nbsp;&nbsp;</li></ul> Working Arrangement&nbsp; <ul><li>This role follows a hybrid working model with an expectation of approximately two to three days per week onsite, depending on client requirements.&nbsp;</li><li>Some travel to client locations may be required.&nbsp;</li></ul> Security Requirements&nbsp; <ul><li>Candidates must either hold Security Clearance (SC) or be eligible to obtain SC Clearance in accordance with UK Government requirements.&nbsp;</li></ul>

Responsibilities: <ul><li>Monitor production environments and respond to operational alerts.</li><li>Execute operational runbooks and incident response procedures.</li><li>Support deployments and environment management.</li><li>Develop automation scripts and engineering tools.</li><li>Assist with root cause investigations.</li><li>Support database health and maintenance.</li><li>Participate in on-call rotations.</li><li>Collaborate with development teams to improve reliability.</li></ul> Requirements: <ul><li>4–8 years of software development experience.</li><li>Strong Java programming skills.</li><li>Experience with APIs and microservices.</li><li>Basic cloud experience (Azure/GCP).</li><li>Knowledge of monitoring tools.</li><li>Experience with Couchbase and PostgreSQL.</li><li>Strong analytical and debugging skills.</li></ul>

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73 programming languages frameworks Jobs found

Portfolio Marketing Manager - Commercial HVAC Solutions

Software Engineer – Ag & Trade

Consultant Infrastructure & Operations (SAM)

Project Manager PMO II

VP, Engineering Manager

Principal Component Validation Engineer (HBM)

Mechanical Maintenance Engineer - Automation Technology

Senior Field Application Engineer (Sr. FAE)

Lead Quality Automation Engineer

Intermediate App Developer – Production Engineering, Java

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73 programming languages frameworks Jobs found

Portfolio Marketing Manager - Commercial HVAC Solutions

Software Engineer – Ag & Trade

Consultant Infrastructure & Operations (SAM)

Project Manager PMO II

VP, Engineering Manager

Principal Component Validation Engineer (HBM)

Mechanical Maintenance Engineer - Automation Technology

Senior Field Application Engineer (Sr. FAE)

Lead Quality Automation Engineer

Intermediate App Developer – Production Engineering, Java

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

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