16 Enterprise Search Jobs

We are currently seeking a ERP Analyst to join our team in Hyderabad, Andhra Pradesh (IN-AP), India (IN). Sr. OpenText (VIM) ConsultantConsultant needs to work in 6am to 4pm or 12pm to 10pm & 3.30pm to 1.30am shift needs to have a good communication skill. Needs to have 5yrs of experience in implementation & Support of SAP OpenText VIM module. Should be able to work on SLA's, should have experience to handle multiple clients and ability to sync with different clients and different process simultaneously.Opentext VIM Requirement Vendor Invoice Management.SAP Opentext Senior functional specialist with 5 to 10 years experience in SAP Opentext VIMWell versed with functionalities of VIM 7.5Experience and configuration knowledge in VIM bolt on, Invoice Capture Center 7.5, Open Text Archive Server, and SAP AP, AR, GL. Experience leading and assisting clients with designing workflow solutionsAbility to design customized solution, writing functional specifications describing technical details where required.Ability to work independently and capable of planning his work and able to articulate it into definable tasksStrong customization experience of OpenText VIM module for SAPExperience of creating BCC applications, invoice processing, configuring exception handling and approval proceduresExperience with an End-to-End VIM and ICC/BCC UpgradeVIM SAP FIORI AppsGood written and verbal communication.

NOTE:- WHO IS CURRENTLY WORKING WITH PROUCT BASED COMPANY / CLIENT ONLY ELIGIBLE FOR ABOVE POSITION. Senior Engineer Search Alberts mission is to foster a software platform that uses big data and machine learning to accelerate the invention of new formulations and novel materials drastically. We are looking for a Software Engineer I Search with expertise in enterprise-grade search technologies. The ideal candidate has sound knowledge on ElasticSearch (preferred) or Lucene- based search engines, with hands-on experience building enterprise search applications. Exposure to AWS is a must, while Python and DynamoDB are good-to-have skills. Responsibilities: Design and develop enterprise-grade search applications using Elasticsearch or Lucene- based search engines for high-traffic applications. Build scalable, reliable, and maintainable APIs for search features using Node.js and AWS services. Develop, maintain, and monitor serverless components (A WS Lambda, CloudWatch log insights). Implement query tuning, indexing strategies, and search performance improvements. Collaborate with cross-functional engineering teams to integrate search into business workflows. Write clean, maintainable code with unit tests and documentation. Implement cross-cluster search, multi-tenant search solutions, and real-time search capabilities. Ensure efficient log storage, retention policies, and lifecycle management in Elasticsearch . Monitor and troubleshoot performance bottlenecks, ensuring high availability and resilience. Design and implement real-time and batch indexing pipelines for structured and unstructured data. Optimize schema design, field mappings, and tokenization strategies for improved search performance. Manage custom analyzers, synonyms, stopwords, and stemming filters for multilingual search. Ensure search infrastructure adheres to security best practices, including encryption, access control, and audit logging. Optimize search for low latency, high throughput, and cost efficiency. Collaborate cross-functionally with engineering, product, and operations teams to ensure seamless platform delivery. Define and communicate a strategic roadmap for Search initiatives aligned with business goals. Work closely with stakeholders to understand database requirements and provide technical solutions. Requirements: 4+ years of software engineering experience, with 3+ years deep expertise in ElasticSearch / OpenSearch. Sound knowledge of Lucene-based search engines and enterprise search applications. Strong hands-on experience with AWS (Lambda, CloudWatch, etc.). Proven experience building enterprise search applications. Familiarity with Python or DynamoDB is a plus . Strong understanding of distributed systems, indexing, and query optimization. Experience working in an agile, product-focused environment. Excellent problem-solving and communication skills. Culture The Albert team uses an iterative/agile development methodology, and you will be a key contributor in the entire development cycle. At Albert, we put a great deal of emphasis on collaboration and maintaining an open working environment - having great coworkers is one of the biggest determinants for enjoying your work, and we take our enjoyment of work very seriously Your opinions matter. We are driven by technology and innovation, and we look to the smartest, most passionate people on the team as the source of ideas. Albert Invent Private Limited WTC Annex, Block A ,1st Floor, Office No. 3, Brigade Gateway Campus 26/1 Dr. Rajkumar Road, Malleswaram Rajajinagar, Bengaluru -560055 www.albertinvent.com

The ideal candidate for this position will play a crucial role in managing Adobe AEM environments, enterprise search solutions, configuration management, webservers, CDNs, cloud integrations, monitoring, troubleshooting, automation, collaboration, and documentation. You will be responsible for overseeing the deployment, configuration, and maintenance of Adobe AEM environments to ensure optimal performance, security, and scalability. Additionally, you will manage enterprise search solutions such as Solr and Elastic Search, focusing on efficient indexing, search performance, and relevance tuning. Furthermore, you will implement and maintain configuration management processes and tools to ensure consistency and reliability across environments. Administering webservers and CDNs will also be part of your responsibilities to ensure high availability, performance, and security of web applications. In addition, you will design, implement, and manage cloud integrations using platforms like AWS or Azure, ensuring seamless connectivity and data flow between systems. Monitoring system performance, identifying issues, performing root cause analysis, and providing timely resolution to application and infrastructure problems will also be crucial aspects of your role. Moreover, you will develop and maintain automation scripts and tools to streamline deployment, monitoring, and maintenance tasks. Collaborating closely with development, QA, and operations teams to ensure smooth deployment and operation of applications, as well as providing support during development and production phases, will be essential. Creating and maintaining comprehensive documentation for configurations, processes, and procedures will also be a key responsibility in this role. Qualifications: - Bachelor's degree in Computer Science, Information Technology, or a related field. - Proven experience in managing Adobe AEM environments on-premises or on the cloud. - Strong knowledge of enterprise search technologies and best practices. - Experience with configuration management tools like Puppet, Chef. - Proficiency in managing webservers like Apache and CDNs like Akamai/Azure CDN. - Hands-on experience with cloud platforms (AWS or Azure). - Strong scripting skills (e.g., Python, Bash). - Excellent problem-solving and troubleshooting skills. - Strong communication and collaboration abilities. - Ability to work in a fast-paced, dynamic environment. Preferred Qualifications: - Certifications in Adobe AEM, cloud platforms, or relevant technologies. - Familiarity with CI/CD pipelines and tools. Micron Technology, Inc. is a global leader in innovative memory and storage solutions, driving the transformation of information into intelligence. With a focus on technology leadership and operational excellence, Micron delivers high-performance DRAM, NAND, and NOR memory and storage products through its Micron and Crucial brands. The company's innovations fuel the data economy, enabling advances in artificial intelligence and 5G applications across various platforms. Please visit micron.com/careers to learn more about Micron Technology, Inc. For assistance with the application process or reasonable accommodations, please contact hrsupport_india@micron.com. Micron strictly prohibits the use of child labor and complies with all applicable laws, rules, regulations, and international labor standards.,

Role Purpose The purpose of this role is to provide significant technical expertise in architecture planning and design of the concerned tower (platform, database, middleware, backup etc) as well as managing its day-to-day operations Do Provide adequate support in architecture planning, migration & installation for new projects in own tower (platform/dbase/ middleware/ backup) Lead the structural/ architectural design of a platform/ middleware/ database/ back up etc. according to various system requirements to ensure a highly scalable and extensible solution Conduct technology capacity planning by reviewing the current and future requirements Utilize and leverage the new features of all underlying technologies to ensure smooth functioning of the installed databases and applications/ platforms, as applicable Strategize & implement disaster recovery plans and create and implement backup and recovery plans Manage the day-to-day operations of the tower Manage day-to-day operations by troubleshooting any issues, conducting root cause analysis (RCA) and developing fixes to avoid similar issues. Plan for and manage upgradations, migration, maintenance, backup, installation and configuration functions for own tower Review the technical performance of own tower and deploy ways to improve efficiency, fine tune performance and reduce performance challenges Develop shift roster for the team to ensure no disruption in the tower Create and update SOPs, Data Responsibility Matrices, operations manuals, daily test plans, data architecture guidance etc. Provide weekly status reports to the client leadership team, internal stakeholders on database activities w.r.t. progress, updates, status, and next steps Leverage technology to develop Service Improvement Plan (SIP) through automation and other initiatives for higher efficiency and effectiveness Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Train direct reportees to make right recruitment and selection decisions Talent Management Ensure 100% compliance to Wipros standards of adequate onboarding and training for team members to enhance capability & effectiveness Build an internal talent pool of HiPos and ensure their career progression within the organization Promote diversity in leadership positions Performance Management Set goals for direct reportees, conduct timely performance reviews and appraisals, and give constructive feedback to direct reports. Ensure that organizational programs like Performance Nxt are well understood and that the team is taking the opportunities presented by such programs to their and their levels below Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Proactively challenge the team with larger and enriching projects/ initiatives for the organization or team Exercise employee recognition and appreciation Mandatory Skills: Enterprise Search . Experience: 5-8 Years .

As a Senior Data Scientist in the Data & Analytics field, you will be responsible for a variety of tasks that involve advanced analytics, modeling, data strategy, engineering collaboration, business impact, AI strategy, thought leadership, mentorship, and technical expertise. You will design and implement advanced machine learning models, including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions such as GPT, LLaMA, and Claude. Additionally, you will develop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models. Your role will also involve fine-tuning or prompt-engineering foundation models for domain-specific applications and evaluating and optimizing LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use. Collaboration with data and ML engineering teams will be crucial as you work closely to integrate LLM-powered applications into scalable, secure, and reliable pipelines. You will contribute to the development of retrieval-augmented generation architectures using vector databases and support the deployment of models using MLOps principles. Partnering with cross-functional stakeholders, you will identify opportunities for applying LLMs and generative AI to solve complex business challenges. Leading workshops or proofs-of-concept will be part of your responsibilities to demonstrate the value of LLM use cases across business units. You will also translate complex model outputs into clear insights and decision support tools for non-technical audiences. As an internal thought leader on AI and LLM innovation, you will keep the organization at the forefront of industry advancements. Mentoring and upskilling data science team members in advanced AI techniques and contributing to strategic roadmaps for generative AI and model governance within the enterprise will be key aspects of your role. To qualify for this position, you should have education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline, along with 5+ years of hands-on experience in data science. Demonstrated success in deploying machine learning and NLP solutions at scale and proven experience with cloud AI platforms are required. Proficiency in Python and SQL, experience with prompt engineering, fine-tuning, and LLM orchestration tools, familiarity with data storage and retrieval systems, and strong understanding of model evaluation techniques for generative AI are also necessary. Additionally, you should possess leadership skills and be a strategic thinker with the ability to align AI initiatives to business goals. Excellent communication and storytelling skills are crucial for articulating the value of LLMs and advanced analytics. Strong collaboration skills and the ability to influence stakeholders across various teams are also essential. Preferred qualifications for this role include experience with IoT, edge analytics, or smart building systems, familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks, and knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments.,

Role & responsibilities Design, implement, and configuration of Elastic stack, Kibana visualizations and Grafana for the Client. Present and demonstrate ELK / Grafana capabilities to the prospective clients Designs and optimizes ELK platform architecture for large-scale and distributed deployments Establishes best practices and development standards, and ensures that the team adopts them Maintains a close partnership with ELK / grafana on feature requests, upgrade planning, and product roadmap alignment Develops and customizes various dashboards and Builds advanced visualizations Performs assessment of Monitoring estate and derive at recommendations with quantified business benefits Good understanding and experience on: End to end ELK Stack / Grafana Enterprise & Cloud deployment Administering Production Systems, where Elastic Stack runs / where Grafana with data sources as Prometheus, Graphite, M3DB,etc. Data onboarding from multiple data sources and build Transformation framework Migration / upgrade planning & execution for ELK / Grafana platform End to end ELK / Grafana data Ingestion, enrichment, transformation and visualization Deployment & Administration of Elastic Stack version 5.0 and above & Grafana Stack version 7.x and above Docker, Kubernetes, Artifactory and Gitlab & cloud platforms (preferably Azure / AWS) Deeper understanding on VPC, Subnet, NI, LBs and Availability Zones & AWS Services limitations Hands on / Knowledge on ML modules with good insights on Event Aggregation / Event correlation / Anomaly detection areas Watchers for Alerting leveraging Painless scripts / Python Should have hands on experience with: Design Elasticsearch indices to efficiently store metric data by optimizing both performance and its growth into consideration. Design access control using X-Pack. Configuration of X-Pack including Shield, Watcher, Marvel, Graph, and Reporting. Configuration of Logstash, FileBeats, MetricsBeats and other ELK Stack components to collect and the store the data necessary to meet customer requirements efficiently. Inbound / Outbound Integrations IT & business systems and custom plugin creations Implementing Active directory integration, cross-cluster search & replication, Infra UI and Compact UI display. Setting up and configuring Grafana & Integration experience with different multiple data sources like 3rd party monitoring tools Devops / APIs,etc. Configuring dashboards, alerts and alarms Exposure to analyze from dashboard, recommend and problem solving skills to debug issues / integrate using Json, API, CI/CD pipeline using scripts Data visualization using Grafana for creating Grafana dashboards to display time-based data plots AWS Services Cloud Formation ASG, EC2 S3, Route53 CloudWatch Preferred candidate profile

Role & responsibilities Assist in maintaining and optimizing onsite search experiences using Lucidworks and related tools. Support the creation and maintenance of search rules, synonyms, templates, and search analytics dashboards. Collaborate with the development and data teams to troubleshoot indexing, relevance tuning, and collection issues. Help monitor and improve search performance based on user behavior and analytics insights. Support day-to-day updates and search enhancements for websites. Coordinate with product, content, and PIM teams to ensure accurate and structured data feeds into the search platform. Participate in Agile ceremonies (stand-ups, sprint planning, retrospectives) and assist with writing and refining user stories. Contribute to documentation and process improvement to help streamline workflows and ensure consistent search delivery. Preferred candidate profile 4 to 6 years of experience in eCommerce, digital marketing, merchandising, or a related field. Basic understanding of internal site search platforms and search engine optimization (SEO). Exposure to tools like Lucidworks, Solr, or similar platforms is a plus. Comfortable working with data and drawing insights using tools like Adobe Analytics or Google Analytics. Familiarity with JavaScript and/or JSON for working with search pipelines (basic level acceptable). Strong communication skills with an ability to collaborate across teams and explain technical concepts in simple terms. Organized, detail-oriented, and able to manage multiple tasks with changing priorities. Nice to Have Experience with Lucidworks. Exposure to CMS tools such as Adobe Experience Manager (AEM). Experience working in an Agile environment.

Global Technology Solutions (GTS) at ResMed is dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations. The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency. The Global Technology Solutions (GTS) Team is seeking a seasoned and strategic Business Analyst (Marketing) to define and lead the continuous improvement of the marketing environment within the healthcare sector. This critical position entails managing the comprehensive analysis, integration, and scalability of key marketing solutions, including CMS, PIM, CRM, MAP, Enterprise Search, DAM, and CDP. The Business Analyst will ensure these systems work harmoniously to facilitate impactful marketing campaigns, enhance customer engagement, and align with business goals while adhering to strict healthcare regulations. The ideal candidate will possess deep technical expertise in marketing platforms and integration methods, coupled with a thorough understanding of marketing principles and the specific requirements of the healthcare industry. You should be a strategic visionary with exceptional analytical and problem-solving skills, capable of translating business needs into reliable and scalable solutions. Moreover, superior communication and collaboration skills are essential to effectively engage with cross-functional teams and stakeholders. **Responsibilities:** - Design and maintain comprehensive analysis for the marketing environment, ensuring scalability, security, and integration across all applications. - Develop and document analytical blueprints, standards, and best practices for marketing deployments. - Evaluate and recommend new marketing technologies and solutions that align with business requirements and analytical standards. - Ensure compliance with relevant healthcare regulations (e.g., GDPR, HIPAA where applicable) in the analysis and architecture of marketing solutions. - Lead the design and implementation of seamless integrations among primary marketing applications such as CMS, PIM, Enterprise Search, CRM, MAP, DAM, and CDP. - Establish data flows and integration methods to uphold data consistency and accuracy across the marketing stack. - Collaborate with IT and data teams to create robust and scalable integration solutions. - Define and enforce governance policies and standards for the usage and management of marketing platforms. - Monitor the health and performance of the marketing ecosystem, identifying and resolving potential analytical bottlenecks or issues. - Mediate and resolve technical conflicts within and between teams, fostering a positive working environment. - Conduct technical training sessions and workshops for team members and stakeholders on MarTech architecture and integration aspects. - Facilitate effective technical collaboration and communication within highly cross-functional teams, ensuring seamless integration of diverse skills and perspectives. **Qualifications And Experience:** **Required:** - Bachelor's degree in Computer Science, Information Technology, or a related field. A Master's degree is a plus. - Minimum of 4 years of experience in designing and implementing enterprise-level marketing technology solutions. - Deep architectural understanding and hands-on experience with MarTech platforms (CMS, PIM, CRM, MAP, DAM, CDP). - Strong understanding of integration patterns, API architectures, and data integration tools and technologies. - Excellent analytical and problem-solving skills with a focus on designing robust and scalable technical solutions. - Strong communication, presentation, and interpersonal skills to convey complex technical concepts effectively. - Proven ability to provide technical leadership and guidance to development teams and vendors. - Familiarity with cloud platforms (e.g., AWS) and their MarTech service offerings is beneficial. - Experience with data modeling, data warehousing, and data analytics concepts. **Preferred:** - Experience in the healthcare industry with a strong understanding of healthcare data security and compliance requirements. Joining ResMed means more than accepting a job; it's embracing a career that is challenging, supportive, and inspiring. Our culture, driven by excellence, encourages individual expression in the workplace and thrives on innovative ideas. If you are looking for a diverse and inclusive workplace that fosters creativity and personal growth, apply now! We are committed to responding to every applicant.,

About the Company: Highspot is a leading AI-powered sales enablement platform trusted by global enterprises like DocuSign, Siemens, and FedEx. The company unifies content management, sales playbooks, training, coaching, and buyer engagement into a single intelligent system, helping go-to-market teams drive consistent execution and measurable revenue growth. With over $645M in funding from top investors including Tiger Global, ICONIQ, B Capital, and Salesforce Ventures, Highspot is redefining how sales teams perform at scale. About the Role: As a Sr. Software Engineer in Search at Highspot, you will leverage the latest innovation in search/AI technology to improve search relevancy, ranking, and recommendations. Collaborating with key stakeholders, including other product teams and customer-facing teams, you will analyze search-related issues and requirements to architect and develop efficient and scalable solutions. The role involves working with traditional keyword search techniques, hybrid techniques leveraging embeddings, and other uses of AI technology to optimize results for users. You will rigorously measure and drive the quality of the results, requiring individuals who are highly motivated and work well in a team-oriented, iterative, and fast-paced environment. Responsibilities: - Develop highly-available distributed services, including improving existing systems. - Experiment with different techniques to improve search quality, relevance, and experiences. - Help design and develop new search features and functionality. - Partner cross-functionally with UX and Product Management to create an end-to-end experience that customers love. - Write maintainable and testable code. - Contribute to internal and external technical documentation. - Solve problems relating to mission-critical services and build automation to prevent problem recurrence. Required Qualifications: - 6+ years of relevant professional experience, not including internships/co-ops. - Strong understanding of enterprise search and search architecture. - Solid experience with search and related technologies such as Solr, ElasticSearch, Lucene. - Demonstrable experience with schema design, relevancy tuning, boosting, and optimization. - Experience working with cloud services, preferably AWS, Azure. - Experience with search ranking and machine learning is a big plus. Why Join Us At Highspot, you'll work on cutting-edge technology that transforms the way sales and marketing teams operate globally. You'll be part of a high-growth, high-impact culture that values innovation, autonomy, and collaboration. With our strong product-market fit, industry-leading funding, and a passionate team, this is your chance to be part of something big and grow with it.,

You will play a crucial role as a Seller at SearchUnify, responsible for driving sales of our AI-powered cognitive search platform in the SaaS space. Your background in enterprise product sales, particularly in the US markets, and your consultative sales approach will be key to your success in this role. If you are someone who is results-driven, possesses in-depth knowledge of SaaS, and thrives in a fast-paced, high-growth environment, then this opportunity is tailored for you. Your key skills should include: - Demonstrated experience in enterprise sales within SaaS or B2B product domains. - Profound understanding of US sales cycles and purchasing behaviors. - Exceptional communication, negotiation, and consultative selling capabilities. - Ability to align customer requirements with technical solutions. - Proficiency in CRM tools and sales enablement platforms. - Willingness to work during night shifts and across global time zones. - Strategic thinking focused on pipeline development and meeting sales quotas. - Familiarity with AI, enterprise search, or support technologies would be advantageous. As a Seller at SearchUnify, your responsibilities will include: - Identifying and cultivating leads through outbound strategies and networking within the industry. - Engaging potential clients using a consultative sales strategy, identifying their pain points, and positioning SearchUnify as the solution. - Establishing and nurturing relationships with key decision-makers and influencers. - Developing and implementing strategic sales plans to achieve and surpass revenue targets. - Managing negotiations and closing deals efficiently to ensure timely contract agreements. - Collaborating closely with pre-sales and customer success teams to facilitate smooth onboarding processes. - Providing valuable market insights and competitor analysis to influence product positioning. - Maintaining accurate records in the CRM system, monitoring progress, and delivering regular reports. - Staying informed about SearchUnify features, product roadmaps, and industry trends. - Acting as a customer advocate internally to guarantee long-term customer satisfaction.,

Global Technology Solutions (GTS) Team is searching for a seasoned and strategic Business Analyst (Marketing) to define and steer the continuous improvement of our marketing environment within the healthcare sector. This critical position will manage the comprehensive analysis, integration, and scalability of our key marketing solutions, including CMS, PIM, CRM, MAP, Enterprise Search, DAM, and CDP. The Business Analyst will ensure these systems operate harmoniously to facilitate impactful marketing campaigns, boost customer engagement, and support our business goals while complying with strict healthcare regulations. The perfect candidate will have profound technical expertise in marketing platforms and integration methods, along with a thorough understanding of marketing principles and the specific requirements of the healthcare industry. You will be a strategic visionary with exceptional analytical and problem-solving skills, adept at converting business needs into reliable and scalable solutions. Additionally, you will have superior communication and collaboration skills to effectively interact with cross-functional teams and stakeholders. Lets talk about Responsibilities Design and uphold comprehensive analysis for our marketing environment, ensuring scalability, security, and integration across all applications. Create and document analytical blueprints, standards, and best practices for marketing deployments. Assess and propose new marketing technologies and solutions that meet business requirements and analytical standards. Ensure compliance with applicable healthcare regulations (e.g., GDPR, HIPAA where applicable) in the analysis and architecture of marketing solutions. Integration Strategy & Analysis: Lead the design and implementation of seamless integrations among our primary marketing applications: CMS (WordPress/HubSpot), PIM, Enterprise Search, CRM, MAP, DAM and CDP. Outline data flows and integration methods to maintain data consistency and accuracy across the marketing stack. Work with IT and data teams to develop robust and scalable integration solutions. Platform Governance & Standards: Set and uphold governance policies and standards for the usage and management of our marketing platforms. Ensure compliance with analytical guidelines and best practices during marketing deployments and updates. Monitor the health and performance of the marketing ecosystem, identifying and resolving potential analytical bottlenecks or issues. Conflict Resolution: Mediate and resolve technical conflicts within and between teams, fostering a positive and productive working environment. Training and Facilitation: Conduct technical training sessions and workshops for team members and stakeholders as needed on MarTech architecture and integration aspects. Cross Functional and Working Multiple Time Zone: Facilitate effective technical collaboration and communication within highly cross-functional teams, ensuring seamless technical integration of diverse skills and perspectives (e.g., Development, Marketing Technology, Infrastructure, Data Engineering). Additionally, possess the ability to effectively navigate and coordinate with technical team members and stakeholders working across multiple time zones, participating in technical discussions and ensuring alignment on architectural decisions, adapting communication strategies to ensure optimal participation and progress for all involved. This includes understanding the technical challenges of asynchronous communication and proactively implementing strategies to mitigate them. Lets talk about Qualifications and Experience Required: Bachelor's degree in Computer Science, Information Technology, or a related field. A Master's degree is a plus. Minimum of 4 years of experience in designing and implementing enterprise-level marketing technology solutions. Deep architectural understanding and hands-on experience with the specific MarTech platforms (CMS, PIM, CRM, MAP, DAM, CDP) Strong understanding of integration patterns, API architectures, and data integration tools and technologies. Excellent analytical and problem-solving skills with the ability to design robust and scalable technical solutions. Strong communication, presentation, and interpersonal skills with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Proven ability to provide technical leadership and guidance to development teams and vendors. Familiarity with cloud platforms (e.g., AWS) and their MarTech service offerings is a plus. Experience with data modeling, data warehousing, and data analytics concepts. Preferred: Experience working within the healthcare industry is highly preferred, with a strong understanding of healthcare data security and compliance requirements.

Global Technology Solutions (GTS) Team is seeking a highly experienced and dynamic Solution Delivery Lead to spearhead the strategy, implementation, and ongoing management of our key marketing technology (MarTech) Solutions within the healthcare sector. This critical role will be responsible for ensuring the effective integration and optimization of our CMS, PIM, Enterprise Search, and CDP platforms to drive impactful marketing campaigns, enhance customer engagement, and support our overall business objectives in a regulated healthcare environment. The ideal candidate will possess a strong technical background coupled with a deep understanding of marketing principles and the unique challenges and opportunities within the healthcare industry. You will be a strategic thinker with excellent leadership, communication, and problem-solving skills, capable of collaborating effectively with cross-functional teams including Marketing, Product, IT, Sales, Customer Services and Compliance. Lets talk about Responsibilities Strategic Leadership & Vision: Execute the strategic roadmap for our MarTech Solution landscape, aligning with business goals and marketing objectives within the healthcare context. Provide delivery leadership on how our MarTech stack can be leveraged to improve customer journeys, personalize experiences, and drive measurable results. Ensure compliance with relevant healthcare regulations (e.g., GDPR, HIPAA where applicable) in all MarTech initiatives. Solution Management & Optimization: Oversee the day-to-day management and operational efficiency of our core MarTech Solutions: CMS: Lead the development, maintenance, and optimization of our web platforms and content management systems. PIM: Manage the integration of our Product Information Management system with other platforms and oversee vendor relationships. Enterprise Search: Ensure the effectiveness and usability of our enterprise search capabilities for both internal and external stakeholders. CDP (Customer 360): Champion the development and utilization of our Customer Data Platform to create a unified customer view and enable personalized marketing experiences. Monitor Solution performance, identify areas for improvement, and implement optimization strategies. Manage Solution upgrades, patches, and deployments in collaboration with IT. Ensure data integrity, security, and compliance across all MarTech Solutions. Integration & Data Management: Lead the integration efforts between various MarTech Solutions and other enterprise systems (e.g., ERP, analytics platforms). Define and implement data governance policies and procedures for our MarTech ecosystem. Work with data teams to ensure data accuracy, consistency, and accessibility for marketing analytics and reporting. Vendor Management: Manage relationships with MarTech vendors, including contract negotiation, performance monitoring, and issue resolution. Evaluate vendor performance and ensure adherence to service level agreements (SLAs). Team Leadership & Collaboration: Lead and mentor a team of Solution specialists or analysts (if applicable). Foster strong working relationships with cross-functional teams, including Marketing, IT, Sales, Legal, and Compliance. Communicate effectively with stakeholders at all levels regarding MarTech initiatives, progress, and challenges. Provide training and support to end-users on MarTech Solutions. Project Management: Lead and manage MarTech implementation projects from initiation to closure, ensuring on-time and within-budget delivery. Develop project plans, timelines, and resource allocation. Identify and mitigate project risks and issues. Conflict Resolution: Mediate and resolve conflicts within and between teams, fostering a positive and productive working environment. Training and Facilitation: Conduct agile training sessions and workshops for team members and stakeholders as needed. Cross Functional and Working multiple time zone: Facilitate effective collaboration and communication within highly cross-functional teams, ensuring seamless integration of diverse skills and perspectives (e.g., Development, Marketing, Infrastructure, Design, Product Owners). Additionally, possess the ability to effectively navigate and coordinate with team members and stakeholders working across multiple time zones, scheduling meetings and adapting communication strategies to ensure optimal participation and progress for all involved. This includes understanding the challenges of asynchronous communication and proactively implementing strategies to mitigate them. Lets talk about Qualifications and Experience Required: Bachelor's degree in Computer Science, Information Technology, Marketing, or a related field. A Master's degree is a plus. Minimum of 7 years of experience in managing and leading enterprise-level marketing technology Solutions. Significant hands-on experience with the specific MarTech platforms (CMS, PIM, Enterprise Search, CRM, SFMC, CDP) Strong understanding of data integration principles and experience with integration tools and methodologies. Excellent project management skills with a proven track record of successfully delivering complex MarTech projects. Strong analytical and problem-solving skills with the ability to translate data into actionable insights. Excellent communication, presentation, and interpersonal skills with the ability to effectively collaborate with technical and non-technical stakeholders. Proven ability to lead and mentor teams (if applicable). Familiarity with agile methodologies is a plus. Preferred: Experience working within the healthcare industry is highly preferred, with a strong understanding of healthcare regulations and compliance requirements.

Search Specialist with ESP Sinequa, GCP, search-based apps, indexing, optimization, data management & UI/UX. Skilled in Java, Python, Angular, .NET & REST APIs. Enhances user experience, collaborates cross-functionally & drives innovation.

As an AI Engineer - Enterprise Search, you will be responsible for leading the development and optimization of our multi-tenant enterprise search solution. Your primary focus will be on creating scalable systems that seamlessly integrate with customer environments, utilizing advanced AI and ML technologies. You will play a key role in designing and managing the enterprise knowledge graph, implementing personalized search experiences, and driving AI-powered innovations to enhance search relevance and ITSM workflows. Your responsibilities will include: - Building and structuring our enterprise knowledge graph to effectively organize content, people, and activities, thereby improving search relevance. - Developing and refining personalized ranking models that can adapt to user behavior and continuously enhance search results. - Designing strategies to customize AI language models based on each customer's data to ensure accuracy and context. - Exploring innovative approaches to combine Large Language Models (LLMs) with search engines to provide solutions for complex queries. - Writing clean, robust, and maintainable code that seamlessly integrates with multi-tenant systems. - Collaborating with cross-functional teams to align search capabilities with ITSM workflows. - Mentoring junior engineers and leveraging the expertise of experienced members to grow as a technical leader. To be successful in this role, you should possess: - 3-5 years of experience working on enterprise search products with AI/ML integration. - Expertise in multi-tenant systems and secure integration with external customer systems. - Hands-on experience with search platforms such as Elasticsearch, Solr, or similar tools. - Strong coding skills in Python, Java, or equivalent programming languages. - A strong passion for solving complex problems using AI and a commitment to delivering user-friendly experiences.,

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale unleashing the potential of businesses and people The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter By taking advantage of all structured and unstructured data securing and protecting private information more effectively Elastics complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI, What is The Role: You will have the opportunity to work with a tremendous services, engineering, product, and sales team and wear many hats This is a meaningful role, as a Consulting Architect, Search, you have an outstanding chance to create an immediate impact on the success of Elastic and our customers, This role will be based in Mumbai or Bangalore due to our customer growth in the region, What You Will Be Doing: As a member of our professional services team you will deliver Elastic solutions and Elastic stack expertise to drive customer business value from our products Work with clients to facilitate strategy, roadmap, design, and sizing in workshops You will apply your soft skills to advocate for your customers, build relationships and exhibit strong communications skills Comfortability working remotely or on-site in a highly distributed team Your activities will include end-to-end delivery of ground-breaking Elastic projects to our customers, as well as development of proof-of-concepts that highlight the value of the Elastic Stack and its solutions Other topics will include Elastic solutions adaption and acceleration along with data modeling, query development and optimization, cluster tuning and scaling with a focus on fast search and analytics at scale, Daily tasks include driving and handling the objectives, requirements gathering, project tasks, project status, dependencies, and timelines, to ensure engagements are delivered optimally and on time while meeting and exceeding the customer objectives Your goal is to make your customers love Elastic and achieve amazing value from the platform! Work across teams with engineering, product management, and support teams to identify feature improvements, extensions, and product defects Facilitate feedback from the field back to the product Engage with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns Be a mentor to your team members, while also learning from them to accelerate your skills, What You Bring: Minimum 8 years as a consultant, engineer or architect who has deep expertise in Enterprise Search concepts and technology, including generative AI technologies This should include solid experience deploying Elastic Search solutions or similar domains (Solr, Algolia, AWS OpenSearch, Palantir, Unbxd, e-commerce site search engines) You have designed and built custom search experiences for major customers, focused on achieving and delivering value for their business, Experience in solving complex technical search problems in terms of relevancy, scaling, performance fine-tuning, building a platform to handle high query throughputs and indexing throughput, benchmarking clusters to achieve optimal performance, Experience leading Enterprise Search projects at both the architectural and program level, Experience working with monitoring tools that integrate into service management, Bachelors, Masters or PhD in Computer Science or related engineering field preferred, or equivalent combination of education, training, and experience, Experience working to deliver and complete professional services engagements, Experience as a public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions, Excel at working directly with customers to capture, prioritize, plan and implement solutions aligned to customer business requirements as it relates to our technologies, Understanding and passion for open-source technology as well as knowledge and proficiency in at least one programming language, Strong hands-on experience with large distributed systems and application infrastructure from an architecture and development perspective, Knowledge of information retrieval and/or analytics domain, Understanding and/or certification in one or more of the following technology Kubernetes, Linux, Java and databases, Docker, Amazon Web Service (AWS), Azure, Google Cloud (GCP), Kafka, Redis, VMs, Lucene, Occasional travel may be required, Bonus Points: Certifications and specialization in Data Science, Data Analytics, Data Engineering, Machine Learning, NLP, Data Infrastructure, analytics Big 4 Experience Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification Experience working closely with a pre-sales organization in scoping the needs of Customers Comfortable with Ansible, JavaScript, Terraform ECK experience or Kubernetes Knowledge of machine learning and Artificial Intelligence (AI) Proven understanding of Java and Linux/Unix environment, software development, and/or experience with distributed systems Experience and curiosity about delivering and/or developing product training Experience contributing to an open-source project or documentation Additional Information We Take Care of Our People: As a distributed company, diversity drives our identity Whether youre looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life

Remote position ELK developer hands on experience in delivering search solution. Should have excellent skills in Elasticsearch and Java. Experience in On-premises Elasticsearch, Enterprise search & Kibana installation & Configuration