571 Elastic Search Jobs - Page 8

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise seach applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Your primary responsibilities include: Develop & maintain data pipelines for batch & stream processing using informatica power centre or cloud ETL/ELT tools. Liaise with business team and technical leads, gather requirements, identify data sources, identify data quality issues, design target data structures, develop pipelines and data processing routines, perform unit testing and support UAT. Work with data scientist and business analytics team to assist in data ingestion and data-related technical issues. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Expertise in Data warehousing/ information Management/ Data Integration/Business Intelligence using ETL tool Informatica PowerCenter Knowledge of Cloud, Power BI, Data migration on cloud skills. Experience in Unix shell scripting and python Experience with relational SQL, Big Data etc Preferred technical and professional experience Knowledge of MS-Azure Cloud Experience in Informatica PowerCenter Experience in Unix shell scripting and python

As an Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Very good experience on Continuous Flow Graph tool used for point based development Design, develop, and maintain ETL processes using Ab Initio tools. Write, test, and deploy Ab Initio graphs, scripts, and other necessary components. Troubleshoot and resolve data processing issues and improve performance Data Integration: Extract, transform, and load data from various sources into data warehouses, operational data stores, or other target systems. Work with different data formats, including structured, semi-structured, and unstructured data. Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. Youll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, youll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, youll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience in the integration efforts between Alation and Manta, ensuring seamless data flow and compatibility. Collaborate with cross-functional teams to gather requirements and design solutions that leverage both Alation and Manta platforms effectively.. Develop and maintain data governance processes and standards within Alation, leveraging Manta's data lineage capabilities.. Analyze data lineage and metadata to provide insights into data quality, compliance, and usage patterns Preferred technical and professional experience Lead the evaluation and implementation of new features and updates for both Alation and Manta platforms Ensuring alignment with organizational goals and objectives. Drive continuous improvement initiatives to enhance the efficiency and effectiveness of data management processes, leveraging Alati

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise seach applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop/Convert the database (Hadoop to GCP) of the specific objects (tables, views, procedures, functions, triggers, etc.) from one database to another database platform Implementation of a specific Data Replication mechanism (CDC, file data transfer, bulk data transfer, etc.). Expose data as API Participation in modernization roadmap journey Analyze discovery and analysis outcomes Lead discovery and analysis workshops/playbacks Identification of the applications dependencies, source, and target database incompatibilities. Analyze the non-functional requirements (security, HA, RTO/RPO, storage, compute, network, performance bench, etc.). Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Leads the team to adopt right tools for various migration and modernization method Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. Your primary responsibilities include Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Front-end Web Developer includes5-8 years of experience in software development using modern languages Implemented Clean Code principles, Junits Thorough understanding of React native and NodeJS and its core principles Experience developing and consuming REST APIs / GraphQL, manage data on the client with Redux and GraphQL, and test everything with Jest Preferred technical and professional experience Good to haveMeasure and resolve performance bottlenecks, using tools like Chrome DevTools Good to know - Lighthouse, Web Page test, or custom tooling

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Angular Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are optimized for performance and user experience. You will also participate in testing and debugging processes to ensure the applications function as intended, while continuously seeking ways to enhance application functionality and efficiency. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application specifications and user guides.- Engage in code reviews to ensure adherence to best practices and standards.- Support the migration of AngularJS applications to Angular 19 within a large Nx monorepo- Convert AngularJS components, services, directives, and modules into modern Angular equivalents- Refactor SCSS and HTML templates to align with Tailwind CSS and current design systems- Ensure high fidelity with existing functionality and UX during migration- Collaborate with internal engineers to follow existing patterns and architecture decisions- Write clean, testable, and maintainable code with proper documentation- Validate functionality across browsers and screen sizes during the migration Professional & Technical Skills: - Must To Have Skills: Proficiency in Angular.- Strong understanding of web development principles and frameworks.- Experience with RESTful APIs and integration techniques.- Familiarity with version control systems such as Git.- Knowledge of responsive design and cross-browser compatibility.- You have 3+ years of front-end engineering experience, including solid experience with Angular- Youve worked on large-scale SPAs and know how to balance performance, reusability, and maintainability- You have strong hands-on experience with Angular (v16 or later), and solid understanding of AngularJS- You have hands-on experience migrating mid-to-large AngularJS applications into Angular systematically- You have the ability to work independently, communicate clearly, and deliver migration milestones reliably- You test your work across resolutions, browsers, and interaction types Experience with monorepos using Nx- Experience working on internationalized (i18n) frontends- Frameworks:Angular 19, AngularJS, PrimeNG- Styling:SCSS, Tailwind CSS, HTML5- Libraries:RxJS- Tooling:GitHub Actions, Nx, ESLint, Prettier etc., Additional Information:- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Angular Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are optimized for performance and user experience. You will also participate in testing and debugging processes to ensure the applications function as intended, while continuously seeking ways to enhance application functionality and efficiency. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application specifications and user guides.- Engage in code reviews to ensure adherence to best practices and standards.- Support the migration of AngularJS applications to Angular 19 within a large Nx monorepo- Convert AngularJS components, services, directives, and modules into modern Angular equivalents- Refactor SCSS and HTML templates to align with Tailwind CSS and current design systems- Ensure high fidelity with existing functionality and UX during migration- Collaborate with internal engineers to follow existing patterns and architecture decisions- Write clean, testable, and maintainable code with proper documentation- Validate functionality across browsers and screen sizes during the migration Professional & Technical Skills: - Must To Have Skills: Proficiency in Angular.- Strong understanding of web development principles and frameworks.- Experience with RESTful APIs and integration techniques.- Familiarity with version control systems such as Git.- Knowledge of responsive design and cross-browser compatibility.- You have 3+ years of front-end engineering experience, including solid experience with Angular- Youve worked on large-scale SPAs and know how to balance performance, reusability, and maintainability- You have strong hands-on experience with Angular (v16 or later), and solid understanding of AngularJS- You have hands-on experience migrating mid-to-large AngularJS applications into Angular systematically- You have the ability to work independently, communicate clearly, and deliver migration milestones reliably- You test your work across resolutions, browsers, and interaction types Experience with monorepos using Nx- Experience working on internationalized (i18n) frontends- Frameworks:Angular 19, AngularJS, PrimeNG- Styling:SCSS, Tailwind CSS, HTML5- Libraries:RxJS- Tooling:GitHub Actions, Nx, ESLint, Prettier etc., Additional Information:- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Responsible for Develop processes to proactively monitor and alert for critical metrics. DSL Query writing experience & Development of Trend analysis graphs (Kibana dashboards) for critical events based on event correlation. Responsible for Implement and manage Logstash Pipelines. Responsible for Index management for better optimum efficiency. Index management for better optimum efficiency Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education Qualification - BE/Btech/MCA/M.Tech, 4-5 yrs Experience in providing solutions using Elastic Stack Experience in Administering Production systems where Elastic stack runs. Experience in end-to-end low-level design, development and delivery of ELK based reporting solutions Preferred technical and professional experience Understand business requirements and create appropriate indexes documents. Index management for better optimum efficiency. Must be Proficient in elastic query for data analysis

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in data modelling, data architecture. Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems Familiarity with different data models like relational, dimensional and NoSQl databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principles, data warehousing concepts, and data governance practices Preferred technical and professional experience Excellent analytical and problem-solving skills with a keen attention to detail. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Knowledge of programming languages such as SQL

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in data modelling, data architecture. Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems Familiarity with different data models like relational, dimensional and NoSQl databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principles, data warehousing concepts, and data governance practices Preferred technical and professional experience Excellent analytical and problem-solving skills with a keen attention to detail. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Knowledge of programming languages such as SQL

The ability to be a team player The ability and skill to train other people in procedural and technical topics Strong communication and collaboration skills Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Front-end Web Developer includes5-8 years of experience in software development using modern languages Implemented Clean Code principles, Junits Thorough understanding of React native and NodeJS and its core principles Experience developing and consuming REST APIs / GraphQL, manage data on the client with Redux and GraphQL, and test everything with Jest Preferred technical and professional experience Good to haveMeasure and resolve performance bottlenecks, using tools like Chrome DevTools Good to know - Lighthouse, Web Page test, or custom tooling

The ability to be a team player The ability and skill to train other people in procedural and technical topics Strong communication and collaboration skills Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Front-end Web Developer includes5-8 years of experience in software development using modern languages Implemented Clean Code principles, Junits Thorough understanding of React native and NodeJS and its core principles Experience developing and consuming REST APIs / GraphQL, manage data on the client with Redux and GraphQL, and test everything with Jest Preferred technical and professional experience Good to haveMeasure and resolve performance bottlenecks, using tools like Chrome DevTools Good to know - Lighthouse, Web Page test, or custom tooling

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise We are seeking a skilled Azure Data Engineer with 5+ years of experience Including 3+ years of hands-on experience with ADF/Databricks The ideal candidate Data bricks,Data Lake, Phyton programming skills. The candidate will also have experience for deploying to data bricks. Familiarity with Azure Data Factory Preferred technical and professional experience Good communication skills. 3+ years of experience with ADF/DB/DataLake. Ability to communicate results to technical and non-technical audiences

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise We are seeking a skilled Azure Data Engineer with 5+ years of experience Including 3+ years of hands-on experience with ADF/Databricks The ideal candidate Data bricks,Data Lake, Phyton programming skills. The candidate will also have experience for deploying to data bricks. Familiarity with Azure Data Factory Preferred technical and professional experience Good communication skills. 3+ years of experience with ADF/DB/DataLake. Ability to communicate results to technical and non-technical audiences

We are hiring for java developer for cognizant for hyderabad location . if interested please share your updated resume to Balaji.V254c1a@cognizant.com Core: (only Hands on) Java/ Springboot Spring data API Postman/ Microservices Debugging Stack trace Additional: Database (Elastic Search) / SQL Powershell scripting, Angular Location : Hyderabad Qualification : BTech Experience : Min 6yrs

Role & responsibilities Job Title: Data Engineer Years of experience: 6 to 10 years (Minimum 5 years of relevant experience) Work Mode: Work From Office Hyderabad Notice Period-Immediate to 30 Days only Key Skills: Python, SQL, AWS, Spark, Databricks - ( Mandate) Airflow- Good to have

Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Knowledge of more than one technology Basics of Architecture and Design fundamentals Knowledge of Testing tools Knowledge of agile methodologies Understanding of Project life cycle activities on development and maintenance projects Understanding of one or more Estimation methodologies, Knowledge of Quality processes Basics of business domain to understand the business requirements Analytical abilities, Strong Technical Skills, Good communication skills Good understanding of the technology and domain Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods Awareness of latest technologies and trends Excellent problem solving, analytical and debugging skills Technical and Professional Requirements: Technology->DevOps->Continuous delivery - Continuous deployment and release->Elastic Logstash and Kibana (ELK) Preferred Skills: Technology->DevOps->Continuous delivery - Continuous deployment and release->Elastic Logstash and Kibana (ELK) Educational Requirements Bachelor of Engineering Service Line Digital Experience

So, what’s the role all about? We are seeking a highly skilled and motivated Engineering Manager to lead our Communication Surveillance team, focused on building scalable compliance solutions for financial markets. You’ll drive R&D delivery, technical excellence, quality & manage a high-performing team, and ensure delivery of robust surveillance systems aligned with regulatory requirements How will you make an impact? Lead and mentor a team of software engineers in building scalable surveillance systems. Drive the design, development, and maintenance of applications using .NET Core and C# . Collaborate with cross-functional teams including App OPS, DevOps, Professional Services and product Own project delivery timelines, code quality, and system architecture. Ensure best practices in software engineering, including CI/CD, code reviews, and testing. Have you got what it takes? Strong expertise in .NET Core and C# – architecture, development, and optimization. Familiarity with AWS services and cloud-native development. Good knowledge in RDBMS – MS SQL, Postgresql Technical experience with indexing/search technologies (preferably Elasticsearch). Experience in containerization. Good to Have: Experience in Python based development Good to have technical experience with indexing/search technologies (preferably Elasticsearch). Experience in a financial markets compliance domain. Qualifications: Bachelor’s or Master’s degree in Computer Science or a related field. 13-15 years of total experience with at least 2–3 years in a leadership or managerial role. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7076 Reporting into: Director Role Type: Tech Manager

What’s the role all about? Serve as one of the top-performing and most proficient engineers in designing, producing, and testing high-quality software that meets specified functional and non-functional requirements within the time and resource constraints given. How will you make an impact? Develop software feature(s) according to requirements specifications. Develop Innovative ideas to address complex issues or future functionality. Provide optimum solutions to complex problems by implementing best industry practices. Ensure the intended design and quality levels are met through regular code reviews and testing of the software in-development. Lead the end-to-end implementation and support of the software through leading by example to ensure complete quality coverage and high degrees of responsiveness to any issues that come up throughout the complete lifecycle of the software. Planning and performing unit testing to ensure fit to design/requirements and perform automation. Possess good communication and presentation skills. Provide L3 support for issues raised in Prod and lower environments. Have you got what it takes? Bachelor/Master of Engineering Degree in Computer Science, Electronic Engineering or equivalent from reputed institute. 2+ years of application programming experience. Extensive experience in PHP v 8.x, MySQL and willing to learn new technologies. Good to have knowledge in AWS services and tools (Elastic Search, Redis, RabbitMQ, Jenkins, S3, Doctrine, Slim). Experience in development using PHP frameworks like Symfony, Slim, CodeIgniter, Laravel. Development experience in JavaScript, TypeScript, Angular/ReactJS, will be added plus. Experience with public cloud infrastructure and technologies such as AWS/Azure/GCP. Experience in building applications using tools like PHP Unit, Docker, Composer. In-depth experience in GIT commands and skillful usage of GIT source control. Well versed with CI/CD pipelines (Jenkins, Ansible, GitHub Actions) Good understanding of design patterns and experience in implementing the same (Factory, Adapter). Experience in developing with REST API, API Authorization & Micro services. Worked in high performance, highly available and scalable Enterprise applications. Strong knowledge of OOAD and Design patterns. Development experience building solutions that leverage SQL and NoSQL databases. Experience designing and developing scalable multi-tenant SaaS-based solutions. You will have an advantage if you also have: Bring a culture of Innovation to the job. Exposure to designing serverless applications in Cloud (AWS) Experience in building applications in Contact Center Domain. Experience in leveraging Gen AI services while providing solutions. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 6966 Reporting into: Tech Manager Role Type: Individual Contributor

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role As an ELK (Elastic, Logstash & Kibana) Data Engineer, you would be responsible for developing, implementing, and maintaining the ELK stack-based solutions for Kyndryl’s clients. This role would be responsible to develop efficient and effective, data & log ingestion, processing, indexing, and visualization for monitoring, troubleshooting, and analysis purposes. Responsibilities: Design, implement, and maintain scalable data pipelines using ELK Stack (Elasticsearch, Logstash, Kibana) and Beats for monitoring and analytics. Develop data processing workflows to handle real-time and batch data ingestion, transformation and visualization. Implement techniques like grok patterns, regular expressions, and plugins to handle complex log formats and structures. Configure and optimize Elasticsearch clusters for efficient indexing, searching, and performance tuning. Collaborate with business users to understand their data integration & visualization needs and translate them into technical solutions Create dynamic and interactive dashboards in Kibana for data visualization and insights that can enable to detect the root cause of the issue. Leverage open-source tools such as Beats and Python to integrate and process data from multiple sources. Collaborate with cross-functional teams to implement ITSM solutions integrating ELK with tools like ServiceNow and other ITSM platforms. Anomaly detection using Elastic ML and create alerts using Watcher functionality Extract data by Python programming using API Build and deploy solutions in containerized environments using Kubernetes. Monitor Elasticsearch clusters for health, performance, and resource utilization Automate routine tasks and data workflows using scripting languages such as Python or shell scripting. Provide technical expertise in troubleshooting, debugging, and resolving complex data and system issues. Create and maintain technical documentation, including system diagrams, deployment procedures, and troubleshooting guides If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experience: Minimum of 5 years of experience in ELK Stack and Python programming Graduate/Postgraduate in computer science, computer engineering, or equivalent with minimum of 10 years of experience in the IT industry. ELK Stack : Deep expertise in Elasticsearch, Logstash, Kibana, and Beats. Programming : Proficiency in Python for scripting and automation. ITSM Platforms : Hands-on experience with ServiceNow or similar ITSM tools. Containerization : Experience with Kubernetes and containerized applications. Operating Systems : Strong working knowledge of Windows, Linux, and AIX environments. Open-Source Tools : Familiarity with various open-source data integration and monitoring tools. Knowledge of network protocols, log management, and system performance optimization. Experience in integrating ELK solutions with enterprise IT environments. Strong analytical and problem-solving skills with attention to detail. Knowledge in MySQL or NoSQL Databases will be added advantage Fluent in English (written and spoken). Preferred Technical and Professional Experience “Elastic Certified Analyst” or “Elastic Certified Engineer” certification is preferrable Familiarity with additional monitoring tools like Prometheus, Grafana, or Splunk. Knowledge of cloud platforms (AWS, Azure, or GCP). Experience with DevOps methodologies and tools. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Meet the Team Cisco IT drives transformation, enabling people to do their best work while aspiring to be the world's most admired IT organization. Guided by user experience, agile practices, engineering excellence, and cloud-first, AI-powered technologies, the Commerce Quote to Order team supports Cisco's go-to-market strategy with an industry-leading commercial platform for hardware, software subscriptions, and services. Handling $50 billion in revenue, the team builds next-generation CPQ (Configure Price and Quote) solutions, leading complex data flows with continuous innovation. Comprising motivated and collaborative individuals, the team delivers IT architecture, platforms, and engineering services to power Cisco's core commerce transactions. Your Impact As a Software Engineer within the Commerce Engineering team at Cisco IT, you will be at the forefront of developing scalable, forward-thinking solutions to solve new business models and challenges, driving digital transformation. Your role will involve collaborating on multi-functional projects to identify areas for improvement, analyzing internal processes, data, and problems, and demonstrating new and emerging digital and cloud technologies to enable new capabilities. Collaborate with business partners, product owners, engineering, and multi-functional teams to shape Cisco's customer and partner lifecycle, prioritize backlogs, and drive the development of end-to-end commerce features for Cisco Commerce. Design and Develop Tailored Solutions Build high-quality software architectures and customized solutions that align with business objectives, meet client requirements, and support critical functions, while documenting designs through charts, code comments, and comprehensive documentation. Lead and Mentor Team Members Support and guide software engineers by providing mentorship, conducting peer reviews, and fostering technical growth within the team. Collaborate and Communicate Effectively Work closely with project managers, clients, and developers to define cohesive strategies across all phases of development, testing, and deployment, ensuring alignment with mission goals. Deliver Clean and Efficient Code Develop tools and applications using clean, efficient coding practices, participating in design and code reviews to ensure quality and scalability. Adapt and Solve Problems Creatively Maintain flexibility to address evolving project requirements, engage directly with customers to analyze objectives, and apply innovative problem-solving to deliver effective solutions. Minimum Qualifications : BS or MS degree in Computer Science or related fields. 7+ years of experience in software development. 2+ years of experience in leading team of software engineers. Excellent knowledge and hands-on experience in Java/J2EE stack, front-end technologies like Angular, Stencil JS, microservices architecture, Object Oriented Programming, data structures and algorithms, databases like Oracle, MongoDB and multithreading frameworks like Spring Boot, JPA, JUnit, and mocking frameworks. Experience with real-time messaging systems like Kafka Experience working on Elastic (ELK) stack, Cloud application environments (Kubernetes) Expertise in developing secure, highly scalable distributed platforms and microservices. Extensive knowledge of secure RESTful API design, JSON, and a good understanding of authentication and authorization concepts. Strong debugging and performance tuning skills. Experience with Git, CI, and deployment tools. Consistent track record of demonstrating industry best practices and standards, agile methodologies, and DevOps. Preferred Qualifications : Ability to evaluate open-source components for potential use in the platform. Knowledge on AI, LLM, Chatbots is a plus.

Project description In Securities Operations IT, we are looking for individuals who are passionate about what they do, who value excellence, learning and integrity. Our culture places emphasis on team work, collaboration and delivering business value while working at a sustainable pace. Most importantly we are looking for someone who is technically excellent and can aspire, and inspire others, to our values and culture. Responsibilities passionate about modern development techniques; you will believe strongly in the benefits of test-driven development, automated testing and continuous integration appreciate industry best practices and always look for applications of these within your daily work. You will understand the importance of ensuring good code quality and will participate in code refactoring, pair programming and code reviews. understand and apply good software engineering principles and be able to work collaboratively with others to implement the best solutions. co-ordinate and participate in major releases, and has supported critical production defects. feel comfortable picking up any tasks required to deliver a feature as you have developed a well-rounded skill set through your involvement in all aspects of software delivery. (2-3 years) collaborate with other team members, institute technical excellence and deliver benefits to the business within budget write functional/automated tests using open source frameworks like FitNesse, Selenium, Spock, Cucumber. Skills Must have Minimum of 6 years' experience in software development (development, testing, documentation) Strong Java Development skills in J2SE/J2EE applications Knowledge and experience with Azure Knowledge on messaging middleware like IBM Websphere MQ, TIBCO EMS and Kafka Knowledge and experience with Docker/k8s, Elastic Strong DB skills with moderate to complex database knowledge (preferably Oracle DB skills) Scripting knowledge is desirable (Perl, Python, Unix Shell scripting) Nice to have Good knowledge of open source test frameworks Experience (min 2 years) in Agile methodology and working with a SCRUM team Basic understanding of clearing and settlement functions Expertise in Test-Driven development Hands-on experience in best practices in testing and developing of good/clean code Proven track record of delivering high volume, transaction-based systems Good working knowledge of Unix/Linux Clear communication skills, written and verbal Team player who works well in a diverse environment Software life cycle with a focus on maintainability Adaptable to a business environment with fast-changing requirements and priorities. Other Languages EnglishB2 Upper Intermediate Seniority Senior

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips. As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation. In this role, you'll be engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll be the mastermind of data transformation. Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset—a true data alchemist. Armed with a keen eye for detail, you'll scrutinize data solutions, ensuring they align with business and technical requirements. Your work isn't just a means to an end; it's the foundation upon which data-driven decisions are made – and your lifecycle management expertise will ensure our data remains fresh and impactful. So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering at Kyndryl. Let's transform data into a compelling story of innovation and growth. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills and Experience •Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes •Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc •Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB •Excellent problem-solving, analytical, and critical thinking skills •Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail •Communication Skills: Must be able to communicate with both technical and non-technical colleagues, to derive technical requirements from business needs and problems Preferred Skills and Experience •Experience working as a Data Engineer and/or in cloud modernization •Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes •Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization •Cloud platform certification, e.g., AWS Certified Data Analytics– Specialty, Elastic Certified Engineer, Google CloudProfessional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate •Experience working with Kafka , ElasticSearch, Kibana & maintaining data lake •Managing interfaces, monitoring for production deployment including log shipping tool. •Experience in updates, upgrade, patches, VA closure, support with industry best tools •Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.