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Our client, a global tech organization, is hiring experienced hands-on ServiceNow HAM and SAM implementation specialists to join the Frankfurt team on part-time contracts. The successful candidates will support both Software Asset Management (SAM) and Hardware Asset Management (HAM) initiatives within a ServiceNow environment, delivering end-to-end configuration, integration and operational implementation across both workstreams.
Responsibilities
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End-to-end hands-on implementation of Software Asset Management (SAM) and Hardware Asset Management (HAM) within a ServiceNow environment.
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Strong understanding of asset management structures, CMDB alignment and foundation data relationships.
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Configuration, scripting and development of custom applications to support platform capabilities.
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Deployment preparation, release management and version control using source control practices.
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Management of Content Library, including opt-in models and lifecycle data.
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Design and configuration of software models, entitlements and licence metric frameworks.
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Discovery and CMDB integration, including alignment of installed software and hardware data.
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Configuration and support of Software Asset Workspace and Hardware Asset Workspace.
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Implementation of reconciliation processes and compliance reporting across multiple software publishers.
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Integration delivery using Excel imports, REST APIs, Advanced Shipment Notification (ASN) and Robust Transform Engine (RTE) processing.
Skillset
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Proven experience delivering end-to-end Software Asset Management (SAM) and/or Hardware Asset Management (HAM) implementations within enterprise environments.
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Strong understanding of CMDB structures, configuration item relationships and IT asset lifecycle management processes.
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Hands-on experience with platform configuration, scripting, workflow automation and custom application development.
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Integration experience across multiple methods, including Excel-based imports, REST APIs and data transformation tools (e.g. ETL processes).
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Familiarity with deployment pipelines, release management and source control practices.
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Strong understanding of data quality, governance, and reconciliation principles within asset management environments.
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Experience working with ITIL-aligned processes, particularly in asset, configuration and service management domains.
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Ability to troubleshoot, optimize and enhance existing SAM/HAM implementations for performance and compliance outcomes.
Our client, a leading manufacturing organization, is hiring an experienced German-speaking ServiceNow CMDB Architect to join the team in Frankfurt on a contract basis. The successful candidate will join a large-scale ITSM and ServiceNow transformation programme, taking a leading role in the design, implementation and enhancement of CMDB capabilities while collaborating with both technical teams and business stakeholders across German and English-speaking environments.
Responsibilities
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Lead CMDB strategy, implementation, optimization and governance initiatives.
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Configure, administer and enhance the ServiceNow CMDB platform.
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Ensure CMDB data quality, accuracy, compliance and governance standards are maintained.
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Design and implement CI class structures, relationships, identification, and reconciliation rules.
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Support and optimize ServiceNow Discovery and Service Mapping capabilities.
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Develop and maintain integrations between ServiceNow and external systems.
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Collaborate with infrastructure, application and service management teams to improve asset and configuration visibility.
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Troubleshoot and resolve CMDB-related technical issues.
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Define, document, and continuously improve CMDB operational processes and procedures.
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Facilitate workshops and engage directly with German-speaking stakeholders.
Skillset
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Fluent in both German and English, written and spoken.
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Proven experience in roles such as CMDB Specialist, CMDB Architect or ServiceNow CMDB Consultant.
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Strong hands-on expertise in configuring and administering ServiceNow CMDB.
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Solid experience with Discovery, Service Mapping and Configuration Management best practices.
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Strong knowledge of CI modelling, relationship mapping, identification and reconciliation processes.
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Experience implementing CMDB governance frameworks and data quality controls.
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Good understanding of ITIL and broader IT Service Management processes.
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Experience delivering large-scale enterprise transformation programmes.
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Strong problem-solving skills with excellent stakeholder management capabilities.
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ServiceNow certifications such as CSA, CIS-CMDB, CIS-Discovery are an advantage.
Our client, an AI-driven startup in the pharmaceuticals industry, is hiring a Software Engineer to join their team in New York. The successful candidate will help build the next generation of AI-powered clinical review tools, by contributing to the design, development, testing and deployment of features used by pharmaceutical customers in live clinical trials.
Responsibilities
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Develop and deliver new platform features using Python and TypeScript.
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Enhance system reliability, scalability, performance and automated test coverage.
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Support the development of data pipelines used to ingest, standardize and process clinical trial data.
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Assist in integrating and evaluating LLM-powered workflows within a hybrid AI and heuristics-based architecture.
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Partner closely with customers to understand how medical reviewers and data managers interact with the platform.
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Collaborate with the CTO and founding team on architecture decisions and engineering best practices.
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Take ownership of clearly defined projects from implementation through to deployment.
Skillset
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At least 4 years of experience building and deploying production-grade software.
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Strong backend engineering skills in Python or a similar programming language.
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Ability to work across the full stack, including frontend development with React and TypeScript.
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Solid understanding of relational databases, SQL and data modelling concepts.
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Strong attention to clean, maintainable code, testing and software quality best practices.
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Experience working with AWS or other major cloud infrastructure platforms.
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Familiarity with AI tools, LLM-based applications or intelligent workflow systems.
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Experience building or supporting ETL pipelines, large-scale data systems, or validation frameworks.
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Previous experience working in fast-paced startup or early-stage environments is a plus.
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Exposure to healthcare, life sciences, biotech or clinical trial technology environments is an advantage.
Benefits
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Salary: $150k - $170k.
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Equity.
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Health, vision and dental insurance.
Our client, an AI-driven startup within the manufacturing industry, is hiring a hands-on Director of AI to join their team in San Jose, CA. The successful candidate will play a key role in shaping the company's AI vision, developing the knowledge graph, agentic systems and machine learning infrastructure that drive intelligent decision-making across global manufacturing operations.
Responsibilities
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Lead the design, development and evolution of the company's AI and machine learning architecture.
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Build, deploy and scale production-grade knowledge graph systems that power intelligent decision-making.
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Develop advanced AI agents capable of reasoning across complex manufacturing, supply chain and operational datasets.
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Create intelligent planning, forecasting and decision-support solutions using real-time data.
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Collaborate closely with founders, engineers and customers to transform industry challenges into practical AI-powered products.
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Establish and maintain best practices for model development, deployment, evaluation, monitoring and governance.
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Support the growth of the AI function by helping to recruit, mentor and develop future AI and machine learning team members.
Skillset
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At least 6 years of experience in artificial intelligence, machine learning or applied research, with a strong record of delivering real-world impact.
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Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning or similar.
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Demonstrate a proven ability to build, deploy and scale AI and machine learning systems in production environments.
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Have hands-on experience designing, implementing and managing knowledge graph solutions at scale.
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Possess deep expertise in agentic AI, reasoning frameworks, retrieval systems or multi-agent architectures.
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Show a strong understanding of modern machine learning infrastructure, MLOps practices and model lifecycle management.
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Communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders.
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Track record of building and scaling enterprise SaaS products and platforms is a plus.
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Exposure to manufacturing, supply chain or industrial technology environments is a bonus.
Benefits
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Salary: $160,000-$180,000
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Meaningful Equity.
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Flexible hybrid working.
Our client, a global AI and data-driven company, are hiring a Head of Architecture and Engineering Operations to join their growing team in Dublin, Ireland. The successful candidate will shape how architecture and engineering operate across the organisation by defining the architecture operating model, setting engineering standards and leading the systems that enable teams to build and deliver at scale across cloud and AI-driven platforms.
Responsibilities
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Lead a globally distributed architecture team across multiple regions, setting clear governance structures, decision rights and architecture forums.
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Define architecture principles, standards, reference architectures, and decision frameworks, and mature the Architecture Review Board into a trusted, pragmatic governance function.
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Own and maintain the Technology Radar, guiding technology adoption, standardisation, experimentation and retirement across the organisation.
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Shape developer experience by improving tooling, golden paths, reusable patterns, AI-assisted engineering, documentation and delivery processes that increase speed and quality.
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Drive FinOps practices to improve cost transparency and optimisation across cloud and tooling spend, working closely with Finance and engineering teams to embed accountability and efficiency into delivery.
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Publish and drive adoption of engineering standards and reference architectures across the organisation.
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Establish and evolve cloud architecture patterns across AWS, Azure and Google Cloud.
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Align technical strategy with product and business roadmaps to ensure consistent delivery of outcomes.
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Support client-facing solution architecture, including strategic pursuits, solution design and technical leadership.
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Remain hands-on with key architectural decisions and complex design reviews to maintain technical credibility.
Skillset
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At least 10 years of experience in engineering, cloud, platform, or architecture leadership roles.
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A minimum of 5 years in senior or principal architecture positions.
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Proven experience leading globally distributed teams.
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Strong expertise in cloud architecture across AWS, Azure, or Google Cloud.
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Experience designing and operating enterprise-scale platforms, APIs, data systems, and AI-enabled solutions.
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Demonstrated experience in architecture governance or technical design authority roles.
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Track record of improving developer experience at scale through tools, processes, and platforms.
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Familiarity with AI-assisted engineering tools and modern development practices.
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Experience with FinOps, cloud cost optimisation, or financial management of technology spend.
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Strong client-facing experience, including pre-sales solution architecture and stakeholder engagement.
Benefits
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Salary: €130k - €149k
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15% Bonus.
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Private healthcare, life assurance and income protection.
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Strong pension scheme.
** Please Note** Candidates must already be eligible to work in the Republic of Ireland.
Our client, a global AI and data-driven organization, are hiring a Developer Experience and Engineering Operations Lead to join their growing team in Dublin, Ireland. The successful candidate will help improve how engineering teams work by making software delivery faster, more consistent and less complex across global function by removing friction across the delivery lifecycle and enabling secure, high-quality and scalable software delivery at pace.
Responsibilities
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Own and deliver the Developer Experience and Engineering Operations roadmap, improving how engineers build, test, release and operate software.
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Identify and address friction points across the software development life-cycle using data, feedback and engineering insight.
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Design and implement pragmatic engineering standards, golden paths, reusable templates and delivery playbooks.
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Drive responsible adoption of AI-assisted development, including coding assistants and workflow automation.
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Define clear guardrails for AI usage, including prompt patterns, quality expectations and security boundaries.
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Promote adoption of internal AI platform capabilities, enabling governed reuse of AI-enabled solutions.
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Improve engineering operations across onboarding, documentation, knowledge sharing and operating cadences.
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Enhance CI/CD pipelines, observability, environment management, release processes and delivery transparency.
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Partner with Architecture, Platform, Cloud, Security and Product Engineering teams to improve end-to-end delivery capability.
Skillset
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Strong background in software engineering, DevOps, SRE, platform engineering or engineering operations.
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Proven track record of improving developer productivity across multiple teams or large organisations.
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Deep understanding of modern SDLC practices, including cloud-native development, CI/CD, APIs, observability and automation.
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Experience defining engineering standards, golden paths or reusable playbooks.
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Familiarity with modern engineering toolchains such as GitHub/GitLab, CI/CD platforms, IaC, containers, developer portals and AI tools.
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Strong stakeholder management and influence across engineering, architecture, security and product teams.
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Experience working with globally distributed engineering teams.
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Hands-on experience with AI-assisted development, including LLMs, prompt engineering and agentic workflows is a plus.
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Cloud platform experience with AWS, Azure or GCP is an advantage.
Benefits
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Salary: €112k - €128k.
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Bonus structure.
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Private healthcare, life assurance and income protection.
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Strong pension scheme.
** Please Note** Candidates must already be eligible to work in the Republic of Ireland.