5 S3 Buckets Jobs

In this vital role, you will play a key part in successfully leading the engagement model between Amgen's Technology organization and Global Commercial Operations. You will collaborate with Business SMEs, Data Engineers, and Product Managers to lead business analysis activities, ensuring alignment with engineering and product goals on the Conversational AI product team. You'll become a domain authority in Conversational AI technology capabilities by researching, deploying, and sustaining features built according to Amgen's Quality System. This role demands a passion for innovation and a collaborative working style that partners effectively with business and technology leaders. What You Will Do Lead the voice of the customer assessment to define business processes and product needs. Work with Product Managers and customers to define scope and value for new developments. Collaborate with Engineering and Product Management to prioritize release scopes and refine the Product backlog. Ensure non-functional requirements are included and prioritized in the Product and Release Backlogs. Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team. Clearly express features in User Stories/requirements so all team members and partners understand how they fit into the product backlog. Ensure Acceptance Criteria and Definition of Done are well-defined. Work closely with UX to align technical requirements, scenarios, and business process maps with User Experience designs. Develop and implement effective product demonstrations for internal and external partners. Maintain accurate documentation of configurations, processes, and changes. Understand end-to-end data pipeline design and dataflow. Apply knowledge of data structures to diagnose data issues for resolution by the data engineering team. Implement and supervise the performance of Extract, Transform, and Load (ETL) jobs. Basic Qualifications Master's degree with 4 - 6 years of experience in Information Systems; OR Bachelor's degree with 6 - 8 years of experience in Information Systems; OR Diploma with 10 - 12 years of experience in Information Systems. Experience with writing user requirements and acceptance criteria. Affinity to work in a DevOps environment and Agile mindset. Ability to work in a team environment, effectively interacting with others. Ability to meet deadlines and schedules and be accountable. Must-Have Skills Excellent problem-solving skills and a passion for solving complex challenges for AI-driven technologies. Experience with Agile software development methodologies (Scrum). Superb communication skills and the ability to work with senior leadership with confidence and clarity. Experience with writing user requirements and acceptance criteria in agile project management systems such as Jira. Experience in managing product features for PI planning and developing product roadmaps and user journeys. Good-to-Have Skills Demonstrated expertise in data and analytics and related technology concepts. Understanding of data and analytics software systems strategy, governance, and infrastructure. Familiarity with low-code, no-code test automation software. Technical thought leadership. Able to communicate technical or complex subject matters in business terms. Jira Align experience. Experience of DevOps, Continuous Integration, and Continuous Delivery methodology. Soft Skills Able to work under minimal supervision. Excellent analytical and gap/fit assessment skills. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. Technical Skills Experience with cloud-based data technologies (e.g., Databricks, Redshift, S3 buckets). AWS (similar cloud-based platforms). Experience with design patterns, data structures, test-driven development. Knowledge of NLP techniques for text analysis and sentiment analysis.

What you will do In this vital role you will play a key role in successfully leading the engagement model between Amgen's Technology organization and Global Commercial Operations. Collaborate with Business SMEs, Data Engineers and Product Managers to lead business analysis activities, ensuring alignment with engineering and product goals on the Conversational AI product team Become a domain authority in Conversational AI technology capabilities by researching, deploying, and sustaining features built according to Amgens Quality System Lead the voice of the customer assessment to define business processes and product needs Work with Product Managers and customers to define scope and value for new developments Collaborate with Engineering and Product Management to prioritize release scopes and refine the Product backlog Ensure non-functional requirements are included and prioritized in the Product and Release Backlogs Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team Clearly express features in User Stories/requirements so all team members and partners understand how they fit into the product backlog Ensure Acceptance Criteria and Definition of Done are well-defined Work closely with UX to align technical requirements, scenarios, and business process maps with User Experience designs Develop and implement effective product demonstrations for internal and external partners Maintain accurate documentation of configurations, processes, and changes Understand end-to-end data pipeline design and dataflow Apply knowledge of data structures to diagnose data issues for resolution by data engineering team Implement and supervise performance of Extract, Transform, and Load (ETL) jobs What we expect of you We are all different, yet we all use our unique contributions to serve patients. We are seeking a highly skilled and experienced Specialist IS Business Analyst with a passion for innovation and a collaborative working style that partners effectively with business and technology leaders with these qualifications. Basic Qualifications: Masters degree with 4 - 6 years of experience in Information Systems Bachelors degree with 6 - 8 years of experience in Information Systems Diploma with 10 - 12 years of experience in Information Systems Experience with writing user requirements and acceptance criteria Affinity to work in a DevOps environment and Agile mind set Ability to work in a team environment, effectively interacting with others Ability to meet deadlines and schedules and be accountable Preferred Qualifications: Must-Have Skills Excellent problem-solving skills and a passion for solving complex challenges in for AI-driven technologies Experience with Agile software development methodologies (Scrum) Superb communication skills and the ability to work with senior leadership with confidence and clarity Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in managing product features for PI planning and developing product roadmaps and user journeys Good-to-Have Skills: Demonstrated expertise in data and analytics and related technology concepts Understanding of data and analytics software systems strategy, governance, and infrastructure Familiarity with low-code, no-code test automation software Technical thought leadership Able to communicate technical or complex subject matters in business terms Jira Align experience Experience of DevOps, Continuous Integration, and Continuous Delivery methodology Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills Technical Skills: Experience with cloud-based data technologies (e.g., Databricks, Redshift, S3 buckets) AWS (similar cloud-based platforms) Experience with design patterns, data structures, test-driven development Knowledge of NLP techniques for text analysis and sentiment analysis

Position Overview The role of the QA & Testing Lead Analyst will provide critical support in system development across broader Pharmacy Quality Engineering organization, influencing Operations and Technology Product Management. This role will provide expertise in the engineering, design, installation and start-up of automated systems. As a member of our team, you will work in a high performance, high frequency, enterprise technology environment. This role works closely with client, IT management and staff to identify automated solutions, new or modified systems, reuse of existing machinery/equipment, or integration of purchased solutions or a combination of the available alternatives. The Automation Engineer Lead Analyst supports the organization in conceiving, planning, and delivering initiatives and uses deep professional knowledge and acumen to advise functional leaders. Responsibilities: Write test strategy and test case documents derived from user stories for one or more features. Test cases should include positive and negative scenarios, test data setup/configuration and expected results. Create test data files containing valid and invalid records to thoroughly test system logic and verify system flow. Collaborate with users to plan and execute end-to-end testing and user acceptance testing (UAT). Ensure successful completion and documentation of system tests, resolving any issues encountered. Contribute to other testing activities such as stress, load, and performance testing where required. Utilize Enterprise Zephyr to document and implement comprehensive test cases covering various application capabilities. Work on Test Automation design and test automation framework and scripts development using Java, Selenium, Test NG, Cucumber, Playwright with TypeScript, JavaScript. Utilize SQL skills to validate changes in backend database systems, including Oracle, MongoDB, and PostgreSQL. Provide estimates for testing effort-based user stories as part of sprint planning. Contribute and participate in other Agile scrum activities such as daily standups, backlog grooming, demos, and retrospectives. Ensure the best possible performance, quality, and responsiveness of the applications Help maintain code quality, organization, and automation Able to work on projects individually and directly with clients. Qualifications Required Skills: Testing types System Integration Testing Functional Testing Regression Testing E2E Testing Performance Testing experience (preferred) Technical Experience in testing UI, API and batch testing Test Automation design and hands on test automation framework and scripts development using Java, Selenium, Test NG, Cucumber, Playwright with TypeScript, JavaScript Strong SQL queries experience Integrating test automation in CI/CD pipeline Oracle, MongoDB, and PostgreSQL Enterprise Zephyr, Jira experience Technology Stack: Web and API applications QA Tester, Zephyr testing experience, excellent documentation skills, strong analytical skills, strong SQL experience. Test Automation design and hands on test automation framework and scripts development using Java, Selenium, Test NG, Cucumber, Playwright with TypeScript, JavaScript. Proven experience as a QA Tester or similar role, preferably in web and API application testing. Expertise in using Zephyr for test management and JIRA in Agile team environments. Strong analytical skills with the ability to quickly grasp complex system requirements. Proficiency in SQL with solid RDBMS querying capabilities, particularly Oracle, MongoDB, and PostgreSQL. Testing and triaging of defects and issues. Knowledge of defect tracking / task tools such as Jira and Confluence. Knowledge of build automation and deployment tools such as Jenkins as well as source code repository tools such as Git. Strong written and verbal communication skills with the ability to interact with all levels of the organization. Strong influencing/negotiation skills. Strong interpersonal/relationship skills. Familiarity with agile methodology. Experience within Agile development environment (Sprint planning, demos and retrospectives, and other sprint ceremonies). Familiarity with modern delivery practices such as continuous integration, behavior/test driven development, and specification by example. Required Experience & Education: College or University degree in Computer Science or a related discipline Minimum 5-8 years of work experience in software automation testing and quality engineering Preferred Experience / Qualifications: Healthcare domain knowledge Mobile Automation experience Knowledge in JavaScript and TypeScript programming languages Exposure to AWS services (DynamoDB, S3 Buckets, Lambdas, etc.) Excellent written and verbal communication skills Solid analytical skills, highly organized, self-motivated and a quick learner Flexible and willing to accept change in priorities as necessary

What you will do Lets do this. Lets change the world. In this vital role We are seeking a strategic and hands-on Specialist Software Engineer / AI Engineer Search to lead the design, development, and deployment of AI-powered search and knowledge discovery solutions across our pharmaceutical enterprise. In this role, you'll manage a team of engineers and work closely with data scientists, oncologists, and domain experts to build intelligent systems that help users across R&D, medical, and commercial functions find relevant, actionable information quickly and accurately. Architect and lead the development of scalable, intelligent search systems leveraging NLP, embeddings, LLMs, and vector search Own the end-to-end lifecycle of search solutions, from ingestion and indexing to ranking, relevancy tuning, and UI integration Build systems that surface scientific literature, clinical trial data, regulatory content, and real-world evidence using semantic and contextual search Integrate AI models that improve search precision, query understanding, and result summarization (e.g., generative answers via LLMs). Partner with platform teams to deploy search solutions on scalable infrastructure (e.g., Kubernetes, cloud-native services, Databricks, Snowflake). Experience in Generative AI on Search Engines Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. Building and owning the next generation of content knowledge platforms and other algorithms/systems that create high quality and unique experiences. Designing and implementing advanced AI Models for entity matching, data duplication. Experience Generative AI tasks such as content summarization. deduping and metadata quality. Researching and developing advanced AI algorithms, including Vision Models for visual content analysis. Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI. Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging. Continually researching current and emerging technologies and proposing changes where needed. Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements. Manage and mentor a cross-functional engineering team focused on AI, ML, and search infrastructure. Foster a collaborative, high-performance engineering culture with a focus on innovation and delivery. Work with domain experts, data stewards, oncologists, and product managers to align search capabilities with business and scientific need Basic Qualifications: Degree in computer science & engineering preferred with 9-12 years of software development experience Proficient in Spark, Kafka, Snowflake, Delta Lake, Hadoop, databricks, Mongo DB, S3 Buckets, ELT& ETL, API Integrations, Java Proven experience building search systems with technologies like Elasticsearch, Solr, OpenSearch, or vector DBs (e.g., Pinecone, FAISS). Hands-on experience with various AI models, GCP Search Engines, GCP Cloud services Strong understanding of NLP, embeddings, transformers, and LLM-based search applications Proficient in programming language AI/ML, Python, GraphQL, Java Crawlers, Java Script, SQL/NoSQL, Databricks/RDS, Data engineering, S3 Buckets, dynamo DB Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience deploying ML services and search infrastructure in cloud environments (AWS, Azure, or GCP) Preferred Qualifications: Experience in AI/ML, Java, Rest API, Python React, GraphQL, NLMS, Full stack applications, Solr Search Experienced with Fast Pythons API Experience with design patterns, data structures, data modelling, data algorithms Knowledge of ontologies and taxonomies such as MeSH, SNOMED CT, UMLS, or MedDRA. Familiarity with MLOps, CI/CD for ML, and monitoring of AI models in production. Experienced with AWS /Azure Platform, building and deploying the code Experience in PostgreSQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets Experience in Google cloud Search and Google cloud Storage Experience with popular large language models Experience with LangChain or LlamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Experience with generative AI or retrieval-augmented generation (RAG) frameworks in pharma/biotech setting Experience in Agile software development methodologies Experience in End-to-End testing as part of Test-Driven Development Good to Have Skills Willingness to work on Full stack Applications Experience working with biomedical or scientific data (e.g., PubMed, clinical trial registries, internal regulatory databases) Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, remote teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills.

Position Overview: The role of the Automation Engineer Senior Advisor will play a pivotal role in system development across broader Pharmacy Quality Engineering organization, influencing Operations and Technology Product Management. This role will provide expertise in the engineering, design, installation and start-up of automated systems. As a member of our team, you will work in a high performance, high frequency, enterprise technology environment. This role worksclosely with client and IT management and staff to identify automated solutions, new or modified systems, reuse of existing machinery/equipment, or integration of purchased solutions or a combination of the available alternatives. The Automation Engineer Senior Advisor exercise considerable creativity, foresight, and judgment in conceiving, planning, and delivering initiatives and uses deep professional knowledge and acumen to advise functional leaders. Responsibilities: Designs, develops, and unit tests applications in accordance with established standards Drive process improvements across broader Pharmacy Quality Engineering organization, influencing Operations and Technology Product Management. Focus on techniques for defect prevention, as opposed to identifying defects. Influence Operations and Technology Product Management with a user story maturity completeness model. Enhance personnel scale with heat matrices, to drive Quality and Development Engineering personnel with the highest priority interfaces, and also where not to focus their time. Consulting with both inter-organizational and outside client contact to ensure the use of best practices and industry standards. Independently estimating and re-estimating testing effort on projects while recognizing and communicating dependencies in cross functional testing as well as data to complete estimates. Mentoring and training new & existing team members Accountable for the growth and efficiencies with quality automation suites and harnesses. Complete the feedback process using empirical data to influence user story definitions, acceptance criteria and engineering designs. Qualifications Required Skills: Proven knowledge of Automation Using Selenium, Cucumber, java, Robot framework(Python) Solid understanding of object-oriented programming concepts Solid understanding of relational database design and querying concepts Detail-oriented and goal-oriented Proficient in Microsoft Office Able to adapt to a fast-paced work environment Able to work independently and as part of a team Familiarity with version control concepts Ideally, exposure to Pega & Cloud technologies Required Experience & Education: College or University degree in Computer Science or a related discipline Minimum 13 years of work experience in software automation testing and quality engineering Preferred Experience / Qualifications: Healthcare domain knowledge Mobile Automation experience Knowledge in JavaScript and TypeScript programming languages Exposure to AWS services (DynamoDB, S3 Buckets, Lambdas, etc.) Excellent written and verbal communication skills Solid analytical skills, highly organized, self-motivated and a quick learner Flexible and willing to accept change in priorities as necessary Location & Hours of Work: Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required.