Senior Systems Analyst – DotNet Developer Full stack

Docusign Developer

Manager, Site Logistics & Project Integration

IBM Infosphere DataStage Developer

Trade Finance Officer

Lead AI Engineer

Business Intelligence Developer

Staff Engineer - AI/ML

Principal Applied Data Scientist

Software Development Engineer in Test

Responsibilities: <ul><li>Primary responsibility is to develop applications which will be used by the operators/technicians in the manufacturing area globally by using .net platform.</li><li>Developing, testing, and maintaining software applications using .NET framework and related technologies.</li><li>Collaborating with cross-functional teams to gather and analyze requirements, and design and implement software solutions.</li><li>Maintain the existing applications and fix issues and explain the user about the timelines in resolving the issues.</li><li>Troubleshooting and debugging software issues, and providing timely resolutions.</li><li>Collaborating with peers to support/design the best solution possible.</li><li>Ensure error-free coding that adheres to best coding practices.</li><li>Implement best practices and methodologies for security, quality, and development approach.</li></ul> Requirements: <ul><li>Client is looking for a Full Stack Developers with 5 - 10years of experience in .net technology.</li><li>Strong written and verbal communication skills, with the ability to work effectively with US- based teams.</li><li>5+ years of recent hands-on experience developing ASP.NET Core and ASP.NET MVC applications.</li><li>Strong understanding of object-oriented programming (OOPs) concepts and software design principles.</li><li>Familiarity with the entire software development lifecycle (SDLC) and development methodologies.</li><li>Hands-on experience in database design, architecture, and integration.</li><li>Proficient with: WebAPI, Entity Framework, ADO.NET, SQL Server, HTML, CSS, JavaScript,jQuery, Ajax</li></ul> Preferred Qualifications: <ul><li>Knowledge in OSI Soft PI tools. - PIMS good to have</li><li>Basic SAP knowledge.</li><li>VB.net windows applications.</li><li>Blazor (server-side and/or WebAssembly) — experience building component-based UIs with Blazor</li><li>AngularJS — experience maintaining or migrating AngularJS single-page applications,VB.NET</li><li>Experience working with modern web technologies and frameworks; ability to evaluate and adopt appropriate tools for project needs.</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain integrations with DocuSign CLM+ and eSignature APIs.</li><li>Implement and customize contract lifecycle management workflows.</li><li>Develop robust backend components using Java and C# to support business logic and integrations.</li><li>Work with XML and XSLT for document transformations and data interchange.</li><li>Build and manage stored procedures, packages, and triggers using Oracle PL/SQL.</li><li>Utilize Eclipse for Java development and Visual Studio for C# development.</li><li>Configure and support CI/CD pipelines using Azure DevOps.</li><li>Collaborate closely with business analysts, architects, QA, and infrastructure teams.</li><li>Troubleshoot and resolve integration and application issues across environments.</li><li>Create and maintain technical documentation and contribute to best practices.</li></ul> Requirements: <ul><li>8+ years of experience in enterprise application development.</li><li>Proficiency with DocuSign CLM+ (contract templates, workflow design, API integration).</li><li>Strong experience with DocuSign eSignature API and embedded signing flows.</li><li>Solid programming skills in Java and C#.</li><li>Expertise in XML and XSLT for document parsing and transformation.</li><li>Strong knowledge of Oracle Database and PL/SQL development.</li><li>Experience using Eclipse IDE and Visual Studio for software development.</li><li>Hands-on experience with Azure DevOps for version control, CI/CD pipelines, and environment management.</li><li>Strong analytical, communication, and problem-solving skills.</li></ul>

Responsibilities: Warehouse &amp; Materials Management <ul><li>Oversee all warehouse activities including receiving, storage, handling, and internal material movement to ensure compliance with cGMP, DEA, and safety regulations.</li><li>Develop and maintain systems for inventory management, accuracy, and traceability, including raw materials, components, packaging, and finished goods.</li><li>Ensure timely and compliant movement of materials to support production schedules and product release timelines.</li><li>Collaborate with Quality and Compliance teams to maintain cGMP storage practices, support inspections, and ensure readiness.</li></ul> Planning &amp; Supply Coordination <ul><li>Lead the site’s production and materials planning processes to ensure timely availability of materials and resources to meet manufacturing demands.</li><li>Manage and optimize the site’s Master Production Schedule (MPS), material requirement planning (MRP), and capacity planning tools.</li><li>Coordinate with corporate Supply Chain and Procurement functions to align site planning with supplier performance and external manufacturing dependencies.</li></ul> Project Management &amp; Integration <ul><li>Serve as a site-level project manager for cross-functional initiatives including new product introductions (NPIs), facility readiness, equipment onboarding, and continuous improvement projects.</li><li>Develop project timelines, resource allocations, risk assessments, and stakeholder communication plans to ensure successful project execution.</li><li>Support greenfield and expansion activities by coordinating logistics, materials, and equipment staging activities.</li></ul> Systems &amp; Process Development <ul><li>Lead implementation and optimization of ERP and warehouse management systems to enable efficient and compliant operations.</li><li>Develop and implement SOPs, training programs, and KPIs across warehouse and planning functions.</li><li>Identify opportunities for process automation, waste reduction, and continuous improvement in site logistics operations.</li></ul> Requirements: Qualifications / Experience: <ul><li>Bachelor’s degree in Supply Chain, Engineering, Business, Operations Management, or related field.</li><li>7+ years of progressive experience in warehouse, planning, or project management roles within pharmaceutical or highly regulated industries.</li><li>Strong understanding of cGMPs, DEA requirements for controlled substances, and sterile manufacturing logistics.</li><li>Proven experience implementing ERP systems (SAP, Oracle, etc.) and managing warehouse or supply chain digital tools.</li><li>PMP certification or formal project management training strongly preferred.</li></ul> Skills/Competencies: <ul><li>Strong organizational, analytical, and problem-solving skills.</li><li>Effective leadership and team-building abilities across cross-functional stakeholders.</li><li>Proficiency in project management tools and planning systems.</li><li>Excellent verbal and written communication with the ability to influence at all levels.</li><li>High sense of ownership, attention to detail, and adaptability in a fast-paced, startup environment.</li><li>Commitment to compliance, quality, and patient-centered operations.</li></ul>

Responsibilities: <ul><li>Design, develop, and implement ETL processes using IBM InfoSphere DataStage to extract data from various source systems, transform it according to business rules, and load it into target data warehouses and data marts.&nbsp;&nbsp;</li><li>Develop and maintain DataStage jobs, sequences, and workflows, ensuring optimal performance and scalability.</li><li>Troubleshoot and resolve data integration issues, working closely with data analysts and other stakeholders.</li><li>Write and execute complex SQL queries to analyze data, profile data sources, and validate ETL processes.</li><li>Collaborate with business analysts and data architects to understand data requirements and translate them into technical specifications.&nbsp;&nbsp;</li><li>Participate in the full software development lifecycle, including requirements gathering, design, development, testing, deployment, and documentation.&nbsp;&nbsp;</li><li>Ensure adherence to data governance policies and standards.</li><li>Monitor ETL processes and proactively identify and address potential performance bottlenecks.</li><li>Contribute to the development and maintenance of technical documentation, including design specifications, mapping documents, and operational procedures.</li></ul> Requirements: <ul><li>Minimum of 3 to 5 years of hands-on experience in designing, developing, and implementing ETL solutions using IBM InfoSphere DataStage.</li><li>Strong understanding of ETL concepts, methodologies, and best practices.</li><li>Proficiency in writing complex SQL queries and working with relational databases, preferably Oracle.</li><li>Experience with data modeling concepts (e.g., dimensional modeling, star schema, snowflake schema).</li><li>Familiarity with Linux operating systems and basic Linux commands is a plus.</li><li>Exposure to OBIEE (Oracle Business Intelligence Enterprise Edition) or other business intelligence tools is a plus.</li><li>Excellent written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Excellent analytical skills and technical skills, with a strong attention to detail and problem-solving abilities.</li><li>Bachelors degree in Computer Science or equivalent in education and work experience.</li></ul>

Role Description: <ul><li>The Trade Finance Officer will be responsible for supporting the company’s trade finance operations to ensure timely and accurate execution of import and export transactions.</li><li>The role involves preparing and processing trade finance instruments, coordinating with banks and suppliers, and ensuring compliance with established policies and international trade regulations.</li><li>The role requires strong expertise in letters of credit (LCs), bank guarantees, documentary collections, and other trade finance instruments.</li></ul> Responsibilities Trade Finance Operations: <ul><li>Support the end-to-end processing of trade finance transactions, including Letters of Credit (LCs), guarantees, collections, and other trade products.</li><li>Prepare and review trade documentation to ensure accuracy, completeness, and compliance with UCP 600, Incoterms, and international trade regulations.</li><li>Liaise with banks, suppliers, and internal departments to facilitate the issuance, amendment, and settlement of LCs and guarantees.</li><li>Track and monitor trade finance transactions and facility utilization to ensure timely execution and effective liquidity management.</li></ul> Import Letter of Credit: <ul><li>Preparation &amp; submission of LC Application as per shared PFI, agreed trade terms, and LC draft</li><li>Carrying out Trade Finance Compliance and Due Diligence checks before issuance of LC</li><li>Liaise with banks and suppliers to process LC documentation, amendments, and confirmations as required.</li></ul> Export Letter of Credit: <ul><li>Issue Proforma Invoices (PFIs) to Oil Marketing Companies (OMCs) allocated under the PBPA bid or carrying vessel.</li><li>Share LC drafts and a list of confirming banks with OMCs to ensure the LC is workable and aligned with the applicable UCP version.</li><li>Verify the availability of confirming banks within approved limits before proceeding.</li></ul> Cash Flow &amp; Working Capital Management: <ul><li>Support the optimization of cash flow by accurately processing and tracking trade finance transactions in line with working capital objectives.</li><li>Monitor collections, supplier payments, and financing requirements related to trade operations to ensure timely execution.</li><li>Coordinate with the Treasury team to provide trade-related inputs for liquidity planning and forex management.</li></ul> Requirements: Qualifications &amp; Experience:Education Qualification <ul><li>Bachelor’s degree in Finance, Accounting, Business, or a related field.</li></ul> Professional Qualification <ul><li>Strong knowledge of trade finance instruments, UCP 600, Incoterms, and cross-border&nbsp;payments.</li><li>3–5 years of experience in trade finance, corporate banking, or treasury.</li><li>Experience in liaising with banks, financial institutions, and regulatory.</li><li>Hands-on experience with ERP systems (SAP, Oracle, or similar) and trade finance platforms.</li></ul>

Responsibilities: <ul><li>Oversee the design, development, and deployment of AI models and intelligent agents.</li><li>Ensure engineering best practices in model development, testing, and deployment.</li><li>Collaborate with IT and data teams to ensure scalable and secure integration of AI solutions.</li><li>Work closely with business and technical stakeholders to understand requirements and deliver impactful AI solutions.</li><li>Communicate effectively with global teams, bridging technical and business perspectives.</li><li>Support change management and adoption of AI tools across business units.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools.</li><li>Lead the design and development of solutions using Agentic AI&nbsp;</li></ul> Requirements: Basic Qualifications:<ul><li>10+ years of experience in software engineering, data science, AI, or a related field.</li><li>2+ years of experience in leadership role managing technical teams.</li><li>Proficiency in software development and statistical analysis.</li><li>Experience with Large Language Models and their applications.</li><li>Strong communication skills and the ability to present technical results to business stakeholders.</li><li>Experience with solution architecting and design.</li><li>Hands-on experience with cloud platforms such as Azure and/or AWS. </li><li>Proficiency in programming languages such as Python, R, or similar.</li><li>Bachelor’s or master’s in computer science, Mathematics, Statistics, or a related field.</li></ul> Preferred Qualifications:<ul><li>Experience working in a global enterprise or matrixed organization.</li><li>Familiarity with cloud platforms (Azure, AWS, GCP) and MLOps tools.</li><li>Experience with large language models and supporting workflows.</li><li>History of project leadership and development.</li><li>Experience in applications to sales, marketing, and market research&nbsp;</li></ul>

Responsibilities: <ul><li>Client is seeking a skilled Business Intelligence Developer to design, build, and maintain enterprise-scale data products and data sources using platforms like Tableau and Streamlit.</li><li>The ideal candidate will be a detail-oriented developer with strong technical skills who can translate business requirements into robust analytical solutions.</li><li>This role requires a mixture of business acumen and technical expertise, along with an ability to build strong partnerships and collaborate to solve problems.</li><li>Design, develop, and maintain interactive data products and reports in Tableau, Streamlit, and other BI tools.</li><li>Build and optimize data sources, ensuring data integrity and performance at enterprise scale</li><li>Collaborate with business stakeholders to gather requirements and translate them into technical specifications.</li><li>Develop scalable data product solutions that can accommodate growing user bases and data volumes.</li><li>Implement best practices for data product design, data modeling, and visualization techniques.</li><li>Monitor data product performance and user adoption, making improvements as needed.</li><li>Maintain documentation for data products, data sources, and development processes.</li><li>Troubleshoot and resolve technical issues with existing data products and data connections.</li><li>Support data governance initiatives by ensuring consistent data definitions and calculations across reports.</li><li>Participate in code reviews and maintain version control for BI development projects.</li><li>Stay current with BI tool updates and emerging visualization technologies.</li><li>Provide technical support to end users and assist with data product-related questions.</li><li>Contribute to the development of reusable components and templates for efficiency gains.</li></ul> Requirements: Qualifications <ul><li>3+ years in the data space as an analyst, engineer, or equivalent.</li><li>3+ years experience designing, implementing, operating, and extending enterprise dimensional models.</li><li>3+ years working with a large-scale data warehouse, preferably in a cloud environment.</li><li>3+ years of hands-on experience developing data products and reports in Tableau, including advanced calculations, parameters, and complex visualizations.</li><li>Experience with Streamlit or similar Python-based data product frameworks.</li><li>Experience with modern data stack technologies including cloud data warehouses (AWS/Snowflake) and ELT tools.</li><li>1+ years maintaining a project workstream to identify tasks, milestones, and deliverables.</li><li>Bachelors degree in Computer Science, Information Systems, Mathematics,</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>

Role Description: <ul><li>Develop and own the data science roadmap that aligns with our client business goals.</li><li>Define success metrics and oversee the entire lifecycle of data initiatives from concept to production deployment.</li><li>Architect, develop, and deploy state-of-the-art machine learning models.</li><li>Champion best practices in model development, validation, and monitoring in production environments.</li><li>Partner with product, engineering, and business teams to translate business requirements into data-driven solutions.</li></ul> Responsibilities: <ul><li>Provide technical leadership and mentor the data science team.</li><li>Provide technical leadership and mentor the data science team.</li><li>Architect and provide production monitoring and support for our client ML services.</li><li>Stay ahead of industry trends by continuously evaluating emerging technologies and methodologies in data science and machine learning.</li><li>Represent our client technical excellence through publications, presentations, and participation in industry events.</li></ul> Requirements: <ul><li>10+ years of professional experience in data science with a proven track record in building and supporting production grade ML systems.</li><li>Must be highly proficient in Python with hands-on experience in machine learning frameworks (e.g., TensorFlow, PyTorch).</li><li>Experience working with large-scale datasets and distributed computing platforms like GCP.</li><li>Strong understanding of ML lifecycle and MLOps practices.</li><li>Experience with monitoring tools like Prometheus, Grafana and logging systems e.g. ELK stack.</li></ul>

Responsibilities: <ul><li>Contribute to planning, estimation, and refinement of stories, epics, and design changes as part of an Agile Scrum team.</li><li>Build out test strategies and plans to cover new areas of functionality, ensuring all necessary testing is performed.</li><li>Refine acceptance criteria into testable units and convert those into automated tests that execute efficiently and reliably.</li><li>Integrate automated tests with CI/CD pipelines and ensure successful automation as part of our standard build process.</li><li>Occasional manual testing when automation is not an option.</li><li>Report, reproduce, and help development resolve defects, emphasis on troubleshooting, root cause analysis, and prevention of similar issues in the future.</li><li>Freely debate ideas and rally behind decisions.</li><li>Pushing for continual improvement in everything we do.</li><li>Apply technology trends and industry innovations to our products and take initiatives.</li><li>Utilizing and embracing AI tools to assist in Quality Engineering activities.</li></ul> Requirements: <ul><li>Domain experience in Quality Engineering, especially automated testing.</li><li>Experience test planning and breaking down stories/requirements into testable units.</li><li>Full-stack experience in automated testing, validating both front-end and back-end interfaces, including RESTful API endpoints and web-based user interfaces.</li><li>Solid object-oriented programming skills and string experience automating in Java, JavaScript, typescript or similar.</li><li>Experience on building and scaling tests using frameworks like Junit/TestNg and/or Cypress/Playwright.</li><li>Experience/familiarity working with public cloud, especially AWS and utilising its SDK to interact with Cloud Services for testing.</li><li>Familiarity working with databases and an ability to incorporate database-side validation into automated tests.</li><li>Experience with CI/CD pipelines, especially using Jenkins and working with pipelines.</li><li>Some working knowledge of Microsoft Exchange, Microsoft 365, Azure Active Directory, and Windows Server.</li><li>Experience/knowledge in leveraging AI tools in building agents, using for reviews and generating skeleton code.</li><li>Some experience/familiarity with performance/scalability testing.</li><li>Bias for action and problem solving – eagerness to take initiative and make things happen.</li></ul>

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19 oracle Jobs found

Senior Systems Analyst – DotNet Developer Full stack

Docusign Developer

Manager, Site Logistics & Project Integration

IBM Infosphere DataStage Developer

Trade Finance Officer

Lead AI Engineer

Business Intelligence Developer

Staff Engineer - AI/ML

Principal Applied Data Scientist

Software Development Engineer in Test

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19 oracle Jobs found

Senior Systems Analyst – DotNet Developer Full stack

Docusign Developer

Manager, Site Logistics & Project Integration

IBM Infosphere DataStage Developer

Trade Finance Officer

Lead AI Engineer

Business Intelligence Developer

Staff Engineer - AI/ML

Principal Applied Data Scientist

Software Development Engineer in Test

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.