QC Laboratory Manager

Partner Solutions Engineer - IOT

 IIAD / SAD / LAD Artificial Intelligence Engineer

Senior Frontend Engineer

Full Stack Engineer

Staff Engineer - AI/ML

Senior Developer (IBM Maximo)

Senior SDET – Human Risk Team

QA Lead

Solution Engineer AI

Responsibilities: <ul><li>Establish and lead the QC laboratory, including analytical and microbiological functions, supporting sterile injectable IV bag production.</li><li>Oversee all testing activities: raw material, in-process, finished product, and stability testing, in compliance with applicable cGMP and regulatory requirements.</li><li>Support and manage startup, qualification, calibration, and maintenance of all QC lab equipment and systems to ensure operational readiness and regulatory compliance.</li><li>Develop and enforce strong data integrity practices, including procedures, training, and routine monitoring of laboratory systems and documentation.</li><li>Build and maintain a scientifically sound, compliant laboratory environment capable of supporting high-potent APIs and controlled substances.</li><li>Hire, train, and mentor laboratory personnel to ensure technical capability and compliance with laboratory and safety procedures.</li><li>Implement and maintain robust systems for documentation (SOPs, protocols, specifications), investigations (OOS, deviations), and CAPA management.</li><li>Lead and support analytical method transfers, validations, and technical investigations in collaboration with cross-functional teams.</li><li>Oversee microbiology operations, including environmental monitoring, utility sampling, sterility testing, and microbiological release activities.</li><li>Ensure inspection readiness and represent QC in audits, PAIs, and regulatory inspections.</li><li>Collaborate cross-functionally with QA, Validation, Engineering, Manufacturing, and Regulatory to ensure alignment and compliance across the site.</li><li>Ensure adherence to safety protocols, especially in handling high-potent materials and controlled substances.</li><li>Establish laboratory KPIs and drive continuous improvement in performance, compliance, and operational efficiency.</li></ul> Requrements: Qualifications / Experience: <ul><li>Bachelor’s or Master’s degree in Chemistry, Microbiology, or related scientific discipline.</li><li>8–12 years of pharmaceutical QC laboratory experience, including 3–5 years in a leadership role.</li><li>Experience with sterile injectable manufacturing, high-potent APIs, and controlled substances is required.</li><li>Deep knowledge of cGMP, FDA, ICH, USP, and applicable global regulatory standards.</li><li>Experience with startup or greenfield sites and laboratory buildouts preferred.</li><li>Demonstrated experience with method transfer, validation, and technical problem-solving.</li><li>Experience establishing equipment lifecycle programs, including qualification and maintenance.</li></ul> Skills / Competencies: <ul><li>Strong leadership with ability to build and develop high-performing lab teams.</li><li>Excellent technical knowledge in analytical and microbiological testing.</li><li>Deep understanding of data integrity principles and enforcement of best practices.</li><li>Proficiency in laboratory systems (LIMS, CDS, ELN) and equipment qualification.</li><li>Ability to manage complex lab operations in a startup environment.</li><li>Strong project management, documentation, and communication skills.</li><li>Commitment to patient safety, quality, and regulatory compliance.</li></ul>

Responsibilities: <ul><li>Involves working closely with industrial partners to evaluate their technical readiness, helping them align with client architectural plays and providing technical direction to develop new solutions and services offerings</li><li>Collaborate with partners to help them build IoT solutions aligned with our client strategy.</li><li>Provide strategic feedback on technology trends and develop business plans for partner enablement.</li><li>Lead partner training initiatives and assist in positioning our client solutions effectively.</li><li>Work cross-functionally with internal teams to adapt or create solutions addressing partner needs.</li><li>Create and deliver compelling solution demonstrations and prototypes</li><li>Provide feedback to product and engineering teams to improve IoT SDKs, APIs, and documentation.</li></ul> Requirements: Industry &amp; Partner Experience: <ul><li>Experience working with partner companies or Gold/Select resellers</li><li>Exposure to automation environments, particularly with Rockwell Automation, Honeywell, or other industrial control vendors</li><li>Familiarity with the integration of OT (Operational Technology) and IT networks</li></ul> Technical Expertise: <ul><li>Strong hands-on knowledge of networking technologies (routing, switching, wireless, security)</li><li>Understanding of security solutions (e.g., ASA/FTD Firewalls, ISE, Umbrella, Duo, etc.)</li><li>Knowledge of network design and architecture in industrial or enterprise environments</li><li>(Optional) Experience with cloud networking (Meraki, SD-WAN, Azure, AWS, etc.)</li></ul> Presales &amp; Commercial Skills: <ul><li>Experience in a presales or customer-facing technical role</li><li>Ability to design and architect solutions based on customer requirements</li><li>Skilled at creating technical proposals, BoMs, solution documentation, and presenting to clients</li><li>Strong communication skills to interface with both technical and business stakeholders</li><li>Familiarity with commercial engagement models (SOWs, pricing, licensing)</li><li>Certifications (Preferred but not mandatory)</li><li>Certifications: CCNP, CCIE (preferred), or other relevant certifications</li><li>Industrial certifications: Rockwell Certified Network Engineer (RCNE), Honeywell Network Specialist, etc.</li><li>Cloud certifications (AWS/Azure/Meraki) – optional</li></ul>

Responsibilities: Agentic AI Development:&nbsp;&nbsp; <ul><li>Design, build, and deploy agentic AI systems using frameworks such as LangChain, Lang Graph, and related libraries.&nbsp;&nbsp;</li><li>Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.&nbsp;</li></ul> RAG Pipelines:&nbsp; <ul><li>Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.&nbsp;</li></ul> LLM Engineering:&nbsp; <ul><li>Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation.&nbsp;</li><li>Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.&nbsp;</li></ul> Enterprise AI Platform:&nbsp; <ul><li>Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.&nbsp;</li><li>Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.&nbsp;</li></ul> MLOps &amp; Observability:&nbsp; <ul><li>Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.&nbsp;</li><li>Applied AI Prototyping:&nbsp;</li></ul> Rapidly prototype, experiment, and iterate to improve AI agent capabilities.&nbsp; Collaboration &amp; Research:&nbsp; <ul><li>Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings.&nbsp;</li><li>Collaborate effectively with other engineers, researchers, and data scientists.&nbsp;</li><li>Contribute to the documentation and standardization of technical code and practices.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s or Ph.D. is a strong plus.&nbsp;</li><li>5+ years overall experience in software development, data science, or machine learning.&nbsp;</li><li>1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures.&nbsp;</li><li>1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools.&nbsp;</li></ul>

Responsibilities: <ul><li>Create and implement interactive, user-friendly, and visually appealing user interfaces (UIs) for web applications.</li><li>Develop robust front-end architectures, write high-quality code, and perform code reviews to maintain standards.&nbsp;</li><li>Ensure applications are fast, responsive, and scalable across various devices and platforms by optimizing loading times and performance.&nbsp;</li><li>Research, evaluate, and adopt new front-end technologies and frameworks (Angular, React) to keep products at the groundbreaking.&nbsp;</li><li>Collaborate with our team to create user-friendly web3 applications.</li><li>Develop responsive and intuitive UIs with React, Next.js, HTML, CSS, and JavaScript/TypeScript.</li><li>Work with WAGMI, Viem to interact with smart contracts.</li><li>Work with Redux and/or MobX for smooth state management.</li><li>Work with REST APIs and GraphQL for backend communication.</li></ul> Requirements: <ul><li>Proven experience as a senior frontend engineer, with a track record of delivering high-quality web applications.</li><li>Strong proficiency in JavaScript/TypeScript languages.</li><li>Expertise in frontend frameworks: Angular and/or React.</li><li>Hands-on experience with RxJS library and state management systems: NGRX, NGXS.</li><li>Experience in writing and support unit tests (Karma, Jasmine, Spectator).</li></ul>

Responsibilities: <ul><li>Design, develop, test, and deploy smart contracts using Solidity (bonus for Rustbased smart contracts).</li><li>Build and maintain frontend applications using Next.js, React, TypeScript, Wagmi, and Viem.</li><li>Develop and manage backend services, including REST APIs, using Node.js, Rust, or other modern frameworks.</li><li>Implement and maintain subgraphs and substreams (The Graph) for on-chain data indexing and querying.</li><li>Write and maintain scripts (JavaScript, Bash, etc.) for automation, tooling, and DevOps tasks.</li><li>Contribute to and maintain infrastructure using Docker, Kubernetes, and CI/CD pipelines.</li><li>Collaborate with cross-functional teams to define, design, and ship new features and systems.</li><li>Participate in code reviews, testing, and documentation to ensure high-quality software.</li><li>Stay current with the latest developments in Web3, blockchain, and infrastructure tooling</li></ul> Requirements: <ul><li>Minimum of 5+ years of experience in software development across the stack.</li><li>Bachelors degree preferred or equivalent experience</li><li>2+ years of experience with Solidity and smart contract development.</li></ul>

Role Description: <ul><li>As a Staff Engineer, you will play a pivotal role in shaping the future of Gen AI at our client by defining technical strategy, overseeing complex machine learning architectures, and ensuring seamless integration of Gen AI solutions into our platform and applications at scale.</li><li>You will mentor and guide a small engineering team while providing expertise in state-of-the-art AI/ML practices, ensuring a robust production pipeline and the professional management of models.&nbsp;</li></ul> Responsibilities: <ul><li>Help lead the technical strategy and execution for AI projects across the organization.</li><li>Designing, deploying, and managing the lifecycle of AI/ML models, including retraining and monitoring for continuous improvement within our solution.</li><li>Designing and driving Gen AI features on peta-byte scale datasets Driving innovation in NLP and other ML solutions, ensuring alignment with our client business goals. Architecting, developing and overseeing scalable, production-ready AI systems.</li><li>Providing technical mentorship to the AI/ML engineering team, fostering growth and collaboration.</li><li>Conducting in-depth research and staying abreast of advancements in Gen AI and deep learning technologies.</li><li>Collaborating with cross-functional teams, including Product, to evaluate business requirements and determine optimal AI solutions.</li><li>Reviewing code, offering best practices, and ensuring the delivery of high-quality solutions.&nbsp;</li><li>Representing our client technical excellence through publications, presentations, and participation in industry events.</li><li>Opportunity to work on cutting-edge AI projects at scale.</li></ul> Requirements: <ul><li>8+ years experience in managing large-scale datasets and distributed computing environments, with a preference for Google Cloud Platform expertise.</li><li>Java programming experience.</li><li>Experience with integration and deployment of AI/ML into production at scale within a SaaS solution.</li><li>Demonstrates independent thinking, capable of analyzing unique challenges, overcoming technical hurdles and delivering impactful AI solutions.</li><li>Hands-on experience with Generative AI techniques, including RAG pipelines, LLM fine-tuning, prompt engineering, and diffusion models.</li><li>Strong knowledge of generative AI frameworks and tools, such as Hugging Face, LangChain, or OpenAI APIs.</li><li>Experience in developing and scaling Generative AI solutions for NLP, vision, or multimodal tasks.</li><li>Advanced knowledge of modern AI frameworks, such as PyTorch, TensorFlow/Keras, Hugging Face Transformers, and JAX/Flax.</li><li>Expertise in Python, Docker, Kubernetes, and Helm.</li><li>Excellent communication skills, particularly in mentoring, knowledge sharing, and cross-team collaboration.</li><li>Willingness to be in office 3 days per week.</li></ul>

Responsibilities: <ul><li>As Sr Developer, responsible for contribution to technical Solution Design, carry out Development independently, Testing of Maximo 7.6 with Utility, ACM or other Maximo Addons or Industry solution.</li><li>Application design, Automation scripts using Python/Java scripts, Complex maximo configurations.</li></ul> Requirements: Major Requirements: <ul><li>Experience with object-oriented programming languages such as Java and C++.</li><li>Deep knowledge of Java programming and related technologies.</li><li>Experience in JSON, XML, XML parsers, and XSL.</li><li>Experience in ETL, Master Data Load and Data Handling (Extraction/Transformation/ Manipulation).</li><li>Experience working with Oracle, DB2 and SQL Server databases: database sizing, troubleshooting, and performance tuning.</li><li>Configuration of Web Server Application like WebLogic/WebSphere.</li></ul> Skills and Requirements: <ul><li>At least 4 years of experience in Configuration &amp; Integration, Support and Maintenance in IBM Maximo v7.x.</li><li>Hand on experience on Following:</li><li>Extensive experience on Rest and Jason based integration.</li><li>Middleware integrations ex – Mulesoft, SAP PI.</li><li>Maximo migration experience with release and deployment management activities.</li><li>Data migration experience informatica and MIF framework.</li><li>Experience in Data modeling for BI reporting and hands on BIRT experience.</li><li>Expertise &amp; working knowledge in Maximo Asset Management (Solution design, development and implementation).</li><li>Working knowledge of capabilities in the IBM Maximo EAM/APM solution and Maximo Integration Framework.</li></ul> Qualifications: <ul><li>Bachelor’s degree or foreign equivalent required from an accredited institution.</li><li>Will also consider three years of progressive experience in the specialty in lieu of every year of education.</li><li>At least 4 years of Relevant Information Technology experience.</li></ul>

Responsibilities: <ul><li>Contributing to the planning, estimation, and refinement of stories, epics, and design changes as part of an Agile Scrum team</li><li>Building out test plans to cover new areas of functionality, ensuring all necessary testing is performed</li><li>Refining acceptance criteria into testable units and converting those into automated tests that execute efficiently and reliably</li><li>Integrating automated tests with CI/CD pipelines and ensuring successful automation as part of our standard build process</li><li>Occasional manual testing when automation is not an option</li><li>Reporting, reproducing, and helping development resolve defects – emphasis on troubleshooting, root cause analysis, and prevention of similar issues in the future</li><li>Monitoring our results and driving continuous improvement through process changes</li><li>Mentoring and coaching junior engineers</li><li>Contributing to design/code reviews for product and test code</li><li>Advocating test automation and coaching the team on best practices</li></ul> Requirements: <ul><li>8+ years of experience as a SDET (or similar role) working across the full tech stack</li><li>Engineering / Computer science degree or equivalent experience</li><li>Extensive experience test planning and breaking down stories/requirements into testable units</li><li>Expertise in significant test automation work, validating both back-end and front-end interfaces in at least one object-oriented language, including:</li><li>Extensive experience automating business logic in the services layer (RESTful API, SDK, or CLI, as appropriate)</li><li>Proficiency in validating contract, functionality, correctness, and performance of REST API endpoints</li><li>Clear understanding of how to manage risk through negative testing, boundary/limits testing, load/soak testing, and other test aspects as appropriate, including system integration, performance/scale, security</li><li>Solid programming skills and experience automating in Java or similar</li><li>Experience in validation of UI-functionality and rendering, End-to-End testing, and UAT scenarios</li><li>Experience with Cypress or knowledge of Protractor/Selenium</li><li>Knowledge of Web Browsers, HTML, CSS, JavaScript, TypeScript, Angular, JSON, XML, integration with APIs, web servers</li><li>Great knowledge of testing design patterns - for example, the Page Object Model</li><li>Experience delivering testing in Agile projects with continuous testing model</li><li>2+ years of experience as a technical leader of test projects and test teams</li><li>Database familiarity (types, schemas, SQL queries, basic operations) and ability to incorporate database-side validation into automated tests</li><li>Experience with multithreading, concurrency, SaaS, and multi-tenant architectures</li><li>Proven ability to integrate with and automate using third party APIs (e.g., Google, Microsoft, Amazon etc)</li></ul>

Responsibilities: Test Strategy &amp; Planning:&nbsp; <ul><li>Within its Product Area, develop and execute comprehensive test strategies that cover end-to-end test execution either for new feature or to rollout complex digital products. This includes Unit Tests, System Integration Testing (SIT), User Acceptance Testing (UAT), and Smoke Tests, with an emphasis on quality, alignment with requirements, and overall test coverage.</li><li>Hands-on Coordination &amp; Test Execution: Lead and coordinate hands-on test execution activities, ensuring tests are performed on time, within scope, and to the highest quality standards. This includes driving functional and non-functional testing activities across the team.&nbsp;</li><li>Unblocking the team whenever needed, taking tactical discussions with multiple stakeholders. </li><li>Drive main testing forums within its Product Area such as defect triage. Perform test execution at least 50% of their time.</li></ul> Resource &amp; Deliverable Accountability: <ul><li>while this is an individual contributor role, QALP will functionally manage Test Engineers to ensure test activities are executed successfully.</li><li>Oversee resource planning, track test execution status, and ensure test deliverables are completed on schedule. </li><li>Ensure that the test plan is followed, and any test issues are identified and resolved in a timely manner.</li></ul> Acceptance Criteria &amp; Sign-off:&nbsp; <ul><li>Ensure all User Stories have acceptance criteria as part of DoR.&nbsp;</li><li>Define clear acceptance criteria for each test phase of Major initiatives and country rollouts for CDI solutions.&nbsp;</li><li>Ensure acceptance criteria are met prior to sign-offs forums, maintaining transparency with stakeholders and ensuring business objectives are met.</li></ul> Timely Delivery:&nbsp; <ul><li>Given the critical nature of delivery timelines, ensure all testing phases and deliverables are completed on time.&nbsp;</li><li>Manage any risks that could delay the testing process, collaborating with stakeholders to mitigate potential impacts to project timelines and company targets.</li></ul> Collaboration &amp; Cross-Functional Engagement:&nbsp; <ul><li>Partner with Product Managers, Product Owners, Delivery Leads, Engineering Leads, and Tech Leads to ensure alignment on quality goals and testing requirements across multiple Agile Release Trains.&nbsp;</li><li>Functionally report to Delivery Leads on Major initiatives.</li></ul> Test Process &amp; Continuous Improvement:&nbsp; <ul><li>Drive best practices in test processes, tools, and methodologies.&nbsp;</li><li>Ensure full adoption of testing tooling for planning, execution and reporting. </li><li>Foster continuous improvement by regularly evaluating and optimizing the testing lifecycle to enhance efficiency and effectiveness.</li></ul> Reporting &amp; Documentation:&nbsp; <ul><li>Prepare and deliver comprehensive test execution status reports and communicate results and risks to key stakeholders. </li><li>Maintain thorough documentation of test plans, results, defects, and other critical test artifacts</li></ul> Test Data &amp; Automation:&nbsp; <ul><li>Together with Product Managers and Product Owners maintain the test data repository for their Product Area.&nbsp;</li><li>In addition to that, continuously identify potential candidates for test automation and collaborate with Tech Lead for QA Automation in order to prioritize tech enablers for upcoming PI-Plannings.</li></ul> Requirements: <ul><li>Solid experience (5+ years) in driving test planning, particularly in a multiple technology domain such as E-commerce/CRM/ERP rollouts.</li><li>Proven hands-on experience with end-to-end test execution, including SIT, UAT, and Smoke Tests.</li><li>Exposure to both manual and automated test execution methods, including experience in driving test automation initiatives.</li><li>Strong understanding of on-prem solutions, API integrations, and cloud-native solutions (AWS, Azure, etc.).</li><li>Experience working in a Scaled Agile Framework (SAFe) environment and with Agile Release Trains is highly preferred.</li><li>Ability to functionally manage Test Engineers, guiding them through testing phases while maintaining accountability for the overall test process.</li><li>Strong knowledge of acceptance criteria and the ability to ensure that they are met at every stage of the testing process.</li><li>Excellent communication and interpersonal skills, with the ability to work cross-functionally and influence stakeholders at all levels.</li><li>Experience with test management tools (e.g., Jira, TestRail) and version control systems.</li><li>Bachelors degree in Computer Science, Engineering, or related field, or equivalent experience.</li><li>Certifications in Software Testing (e.g., ISTQB, SAFe) are a plus.</li><li>Exposure to cloud-based testing and experience with tools like Selenium, JUnit, TestNG is advantageous.</li></ul>

Responsibilities: <ul><li>Lead and manage strategic sales opportunities within the AI Infrastructure and Data Centre space.</li><li>Identify and develop new business opportunities through proactive prospecting and relationship building.</li><li>Collaborate closely with customers and partners to define and align strategic technology visions and business outcomes.</li><li>Understand customer-specific needs and tailor sales strategies to address those priorities effectively.</li><li>Maintain deep knowledge of data centre technologies, with a strong focus on AI-related infrastructure solutions.</li><li>Drive sales growth in a competitive environment by executing a results-oriented business development strategy.</li><li>Build and maintain strong, trusted relationships with key technology leaders and decision-makers across the industry.</li><li>Represent and advocate for as a leader in AI Infrastructure within the market and among strategic accounts.</li></ul> Requirements: Minimum Qualifications&nbsp; <ul><li>7+ years of technology-related sales or account management experience with a focus on business development and new technology incubation.&nbsp;</li><li>Experience growing revenue for new innovative technology-based solutions.&nbsp;</li><li>Experience in understanding business challenges when deploying data centre infrastructure at scale, including AI Infrastructure.&nbsp;&nbsp;</li><li>Proven track record of working cross-functionally with Sales, Presales and Marketing to develop and launch new data centre infrastructure offers.&nbsp;</li></ul> Preferred Qualifications: <ul><li>Bachelor’s degree or equivalent experience in Business, Computer Science, Engineering, or a related field; advanced degree is a plus.&nbsp;</li><li>Excellent verbal and written communication skills.&nbsp;</li><li>Experience working within technology incubate teams to grow market share at an accelerated rate.&nbsp;</li><li>Sales Experience associated with deep learning, data science and AI Infrastructure.&nbsp;</li><li>Sales experience with Data Centre relevant technology, such as storage, network, platform, server, security and cloud.&nbsp;</li></ul>

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26 apis integrations Jobs found

QC Laboratory Manager

Partner Solutions Engineer - IOT

IIAD / SAD / LAD Artificial Intelligence Engineer

Senior Frontend Engineer

Full Stack Engineer

Staff Engineer - AI/ML

Senior Developer (IBM Maximo)

Senior SDET – Human Risk Team

QA Lead

Solution Engineer AI

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26 apis integrations Jobs found

QC Laboratory Manager

Partner Solutions Engineer - IOT

IIAD / SAD / LAD Artificial Intelligence Engineer

Senior Frontend Engineer

Full Stack Engineer

Staff Engineer - AI/ML

Senior Developer (IBM Maximo)

Senior SDET – Human Risk Team

QA Lead

Solution Engineer AI

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.