Overall Front-end engineering experience of 13+ years Expertise in building Micro-frontend web/ eCommerce applications using ReactJS/ TypeScript , Webpack v5 and Module federation Micro Frontend . Minimum of 5+ years of experience in ReactJS/ Typescript Module Federatted Micro-Frontend: Excellent experience in building component libraries design systems that can be used across numerous eCommerce platforms/ domains. Minimum of 2+ years in building Component design systems. Minimum of 2+ years experience in bundling the builds using webpack v5 Mission is to create a single point of reference for all front-end components. Nice to have: Good integration experience/ usage of AI/ ML products. Should have good eCommerce domain expertise. Should have excellent knowledge working in Agile methodology (Scrum/ Kanban) This is a 100% hands-on delivery role. This is an individual contributor role, with a decent amount of team management capabilities. Excellent flair for the English language, both written and oral. It s important for candidates to be an expert in webpack v5 to bundle their web scripts it s a build tool and be very familiar with Module Federated Micro-Frontend (Component libraries design systems).
Java Full Stack + Test Automation Engineer Java Full Stack + Test Automation Engineer Work Mode: Hybrid (2 days from office and 3 days from home), subjected to change. Duration: Long-Term Relevant Experience: 6 - 8 years Candidate should have experience in Java, Springboot / Mircoservices+Test Automation Technical Troubleshooting Continuous Learning Software Design Strategic Thinking Change and Transformation Digital and Technology Computer Programming Business Acumen Secure Coding Practices
Oracle and Axiom Developer Oracle and Axiom Developer Work Mode: Hybrid (2 days from office and 3 days from home) Duration: Long-Term Relevant Experience: 8 - 10 years Technical Troubleshooting Continuous Learning Software Design Strategic Thinking Change and Transformation Digital and Technology Computer Programming Teamwork Secure Coding Practices Business Acumen Test Automation Communication Problem Solving Tools Risk and Controls Submit Application Position Applying for Upload your Resume Edit Template Scroll to Top
Development of highly secured REST services with static and dynamic code analysis tools, design analysis and development of Banking Financial solution. DevOps GitHub Framework Gitlab CICD/AWS EKS Continuous Integration/Continuous Deployment (CI/CD) Jenkins, GitLab CI/CD, Chef Configuration Management Chef, Terraform. Containerization OpenShift(BCP). Version Control Git, GitHub, GitLab, Bitbucket. Infrastructure as Code (IaC) Terraform, AWS CloudFormation, Chef, Gitlab Languages Groovy, Ruby, Java, Net, Python Experienced in Gitlab and to contribute to Design the Framework in GitLab to support all the applications Chef Configuration management On-premise, AWS, OCE (OpenShift Container Enterprise platform), EKS (Elastic Kubernetes Service)
Divit Technologies is looking for Universe Integration Lead to join our dynamic team and embark on a rewarding career journey A Team Lead is a professional who is responsible for leading, guiding, and supervising a team of employees to achieve specific goals and objectives Some of the key responsibilities of a Team Lead include:1 Providing direction, guidance, and support to team members to help them achieve their individual and team goals Managing team schedules, delegating tasks, and ensuring that deadlines are met Mentoring, coaching, and providing feedback to team members to help them grow and develop their skills Identifying and resolving conflicts and obstacles that may impact team performance Ensuring that team members have the necessary resources and support to perform their job effectively The ideal candidate for this role should have strong leadership, communication, and interpersonal skills Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before
Work Mode: Hybrid (2 days from office and 3 days from home) Duration: Long-Term Relevant Experience: 8 - 10 years Need a Coherence SME to review USCB Coherence cache setup from producer and consumer perspective Identify opportunities to improve and implement a strategic scalable, reliable, high performing solution to ensure stability of USCB customer channels relying on this cache for every day operations.
Work Mode: Hybrid (2 days from office and 3 days from home), subjected to change. Duration: Long-Term Relevant Experience: 6 - 8 years Candidate should have experience in Java, Springboot/Microservices + .NET Teamwork Communication Computer Programming Business Acumen Secure Coding Practices Should have prior .NET development experience as this role is required for .NET to Java migration Technical Troubleshooting Continuous Learning Software Design Strategic Thinking Change and Transformation Digital and Technology.
Work Mode: Hybrid (2 days from office and 3 days from home) Duration: Long-Term Relevant Experience: 8 - 9 years Proficie ncy in Java, Springboot and strong experience with React Native. Familiar ity with React.js and a good understanding of its principles. Experien ce in working with RESTful APIs, GraphQL, and integrating third-party services. Knowledg e of mobile app performance optimization, including debugging tools like Chrome DevTools, React Native Debugger, etc. Familiar ity with Git for version control and collaborative development. Strong understanding of UI/UX design principles for mobile apps and ability to implement responsive layouts. Experien ce with mobile development tools such as Xcode for iOS and Android Studio for Android.
Work Mode: Hybrid (2 days from office and 3 days from home), subjected to change. Duration: Long-Term Relevant Experience: 8 - 9 years AWS Skills EKS, EC2, DynamoDB, S3, Route53, Lambda, ALB, CloudWatch, Basic Networking Concepts, + CI/CD knowledge (with Jenkins)
Work Mode: Hybrid (2 days from office and 3 days from home) Duration: Long-Term Minimum of 8 years development and support experience in Oracle comprehending the existing SQL queries and writing medium to complex SQL queries. Minimum of 8 years in development and managing Unix and shell scripting. Good knowledge/ expertise in investment banking and the financial sector. Good knowledge in performance tuning and maintenance issues. Willingness to learn, implement and support newer technologies in big data space (Impala, Spark, SQL, Scala, etc.) Good experience with any one of these cloud technologies (Azure/ AWS/ Google/ Oracle). Solid experience with Oracle objects (Packages, Procedures, functions). Good understanding of the Oracle architecture and concepts. Strong debugging and production-support skills. Proficient in query tuning. Strong written and Oral communications. Should have and willingness to work in a virtual team and across multiple geographies.
Proficient in designing, developing and testing code to build data infrastructure and pipeline processes for batch and streaming data in the public (or private) cloud environment such as AWS, Azure, GCP. Familiar with leading practices around large scale data processing, data security and access control. Responsible for developing, provisioning, securing, monitoring and maintaining the data pipelines to support multiple enterprise and consumer applications in various environments such as production, staging, testing and development environments in an automated manner. Collaborate with Engineering teams to determine the infrastructure that is required to support the data pipelines. Monitor health, security and costs of the provisioned data pipelines and take corrective actions as required. Define, capture, monitor and share key performance and health metrics for the data infrastructure for different applications and environments. Review and analyze logs related to data pipeline and infrastructure performance for incident management. An engineer in this role, should: Collaborate with engineering teams to assist in their automated deployment on the provisioned infrastructure. Provide guidance on alternative infrastructure architectures as the cloud technologies evolve. Experiment and run proof of concepts on newer infrastructure technologies available in the cloud to suggest improvements. Skills: Strong software development practices with emphasis on delivering high quality code. Good understanding of cloud infrastructure and services on one or more public cloud platforms to be able select suitable services for data processing. Strong skills in database management and querying languages such as SQL, MQL Strong experience in one or more of the following databases PostgresQL, My SQL, SQL Strong experience in Analytical Databases/Platform like RedShift, Azure Synapse, Snowflake, Spark, Databricks. Experience with one or more programming languages Python,Java, Scala, C++, JavaScript Familiarity with AWS data technologies such as AWS Glue, Athena, DynamoDB Experience with design, developing, testing and maintaining data pipelines and infrastructure
Must have minimum of 12 15 years of experience implementing batch and streaming applications using Spark and Scala Experience with Confluent or Apache Kafka and Connectors Experience with Java and building microservices, web applications or other applications Develop data pipelines responsible for ingesting large amounts of data from various sources Help evolve data architecture and work on Next Generation real time pipeline algorithms and architecture in addition to supporting and maintaining current pipelines and legacy systems Write code and develop worker node for business logic, ETL and orchestration processes Develop algorithms for better attribution rules and category classifiers Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive search, discovery, and recommendations. Work closely with architects, engineers, data analysts, data scientists, contractors/consultants and project managers in assessing project requirements, design, develop and support data ingestions and API services Work with Data Scientists in integrating machine learning models during content enrichment process Able to influence on priorities working with various partners including engineers, project management office and leadership Mentor junior team members, define architecture, code review, hands-on development and deliver the work in sprint cycle Participate in design discussions with Architects and other team members for the design of new systems and re-engineering of components of existing systems Wear Architect hat when required to bring new ideas to the table based on past experience, thought leadership and forward thinking Take holistic approach to building solutions by thinking big picture and overall solution Work on moving away from legacy systems into next generation architecture Take complete ownership from requirements, solution design, development, production launch and post launch production support. Participate in code reviews and regular on-call rotations. Desire to learn best practices and data engineering tools and technologies. Experience and Education: BS or MS in Computer Science (or related field) with 12 15 years of hands-on software development experience working in large-scale data processing pipelines Must have skills are Apache Spark 3.x and Scala with 4-5 years of experience building production grade batch pipelines that handle large volumes of data. 8+ years of experience in Java and API / Microservices 8+ years of experience in understanding and writing complex SQL and stored procedures for processing raw data, ETL, data validation, using databases such as SQL Server, Redis and other NoSQL DBs Knowledge of Big data technologies, Hadoop, HDFS Expertise with building spark streaming pipelines with Kafka Expertise with Amazon AWS stack such as EMR, EC2, S3 Experience working with APIs to collect and ingest data as well build the APIs for business logic Experience working with setting up, maintaining, and debugging production systems and infrastructure Experience in building fault-tolerant and resilient system Experience in building worker nodes, knowledge of REST principles and data engineering design patterns In-depth knowledge of Spark, Scala, Java, Orchestration tools, ESB, SQL, Stored procedures, Docker, RESTful web services, Kubernetes, CI/CD, Observability techniques, Kafka, Release processes, caching strategies, versioning, B&D, Bitbucket / Git and AWS Cloud Ecosystem Strong software development, architecture diagramming, problem-solving and debugging skills Phenomenal communication and influencing skills. Nice to have: Knowledge of Elastic APM, ELK stack and search technologies such as Elasticsearch/Solr Exposure to Machine Learning (ML) concepts Nice to have some experience in workflow orchestration tools such as Air Flow or Apache NiFi.
Design and architect search & recommendations platform, work on Next Generation architecture in addition to supporting and maintaining current platforms including legacy systems Focus on improving search relevance, ranking and recommendations, personalization architecture Microservices development to support the many services within search and science teams. Provide technical leadership within the team and build partnerships with cross-discipline team members Write code and develop search & recommendation services, data ingestion indexing pipelines Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive search, discovery, and recommendations. Work closely with other architects, engineers, data analysts, data scientists and project managers in assessing project requirements, design, develop and support data ingestions, API services and Elasticsearch stack solution Work with Data Scientists in integrating ML Ranking models, NLP and applying query understanding techniques in search Proven work on large-scale search, discovery, typeahead (auto-suggest), personalization, and recommendation implementation and its related infrastructure Able to influence on priorities working with various partners including engineers, project management office and leadership Mentor junior team members, define architecture, code review, hands-on development and deliver the work in sprint cycle Participate in design discussions and other team members for the design of new systems and re-engineering of components of existing systems Wear Architect hat when required to bring new ideas to the table based on past experience, thought leadership and forward thinking Take holistic approach to building solutions by thinking big picture and overall solution Perform a/b tests, work with Data Analysts and Data Scientists in evaluating the impact of search / recommendation improvements Work on moving away from legacy systems into next generation architecture Take complete ownership from requirements, solution design, development, production launch and post launch production support. Participate in regular on-call rotations. Experience and Education: BS or MS in Computer Science (or related field) with 12-15 years of hands-on software development (preferably in Java), architecture and technical mentorship experience 10+ years of experience in search technologies such as Elasticsearch / Solr / Lucene. Ideal candidate should have knowledge and experience in search relevancy advance techniques & query understanding. 10+ years of experience in building microservices / Rest APIs and data ingestion workers 10+ years of experience in using databases such as SQL Server, Dynamo, Redis and other NoSQL DBs Nice to have experience in doing Vector Search using embeddings generated by ML models, Generative AI and conversational search Experience in building large scale multi-region, fault-tolerant and resilient system Software engineering skills in system architecture & design, coding, OOP, test driven development Experience with multi-node clustering, ETL, monitoring of systems and APIs. Knowledge of hot/warm/cold data, ILM (Index LifeCycle policies), Data streams, Transforms, CCR and other infrastructure aspect of services and Elasticsearch Strong experience in building microservices, REST principles and design patterns In-depth knowledge of Java, Docker, RESTful web services, Spring, Distributed caching techniques, Kubernetes, Observability techniques, Kafka, Release processes, versioning, Akamai, B&D, CI/CD pipelines, caching strategies Phenomenal communication and influencing skills. Nice to have: Knowledge of Traditional Chinese and Simplified Chinese language would be an added advantage Machine learning background in using ML in search, Learning to Rank, NLP, Generative AI, LLM models Experience in Vector search / semantic search using vector search engines. Experience in building real time indexing pipelines, Scala, Spark and other Big Data technologies.
Should have enough hands-on project experience in Elastic Path Commerce, Java, Spring with REST APIs defined by Open API Swagger Good knowledge on Product and Delivery with extensive expertise with REST/Swagger/Postman, AWS cloud services and Docker/Kubernetes. Exposure on Managed services including ActiveMQ, Dynamo, Elastic Cache, Open Search, Redis, RDS (Oracle), S3 and others. Experience on Source control and CI/CD provided by GitLab. Working knowledge on Jira, Confluence and GitLab wiki for documentation Knowledge of Agile delivery model, process, and Agile/Scrum Methodologies Knowledge of test standards, methods, and procedures Providing feedback to development teams on technical, troubleshooting, or operational issues. Ability to manage timelines, duration, and escalations. Basic knowledge of application flows Take ownership of the Telecom Wireless Application and provide the support as and when needed. Effectively collaborates and communicates with the stakeholders and ensures client satisfaction. Train and coach members of project groups to ensure effective knowledge management activity. Ready to work during US early business hours till 11.00 PM IST
Should have enough hands-on project experience in Elastic Path Commerce, Java, Spring with REST APIs defined by Open API Swagger Good knowledge on Product and Delivery with extensive expertise with REST/Swagger/Postman, AWS cloud services and Docker/Kubernetes. Exposure on Managed services including ActiveMQ, Dynamo, Elastic Cache, Open Search, Redis, RDS (Oracle), S3 and others. Experience on Source control and CI/CD provided by GitLab. Working knowledge on Jira, Confluence and GitLab wiki for documentation Knowledge of Agile delivery model, process, and Agile/Scrum Methodologies Knowledge of test standards, methods, and procedures Providing feedback to development teams on technical, troubleshooting, or operational issues. Ability to manage timelines, duration, and escalations. Basic knowledge of application flows Take ownership of the Telecom Wireless Application and provide the support as and when needed. Effectively collaborates and communicates with the stakeholders and ensures client satisfaction. Train and coach members of project groups to ensure effective knowledge management activity. Ready to work during US early business hours till 11.00 PM IST
Job Role: Lead/Principal Search Engineer (Hands-on) Duration: Long-term Client: Large eCommerce Retailer Work Mode: Remote Experience: 12-15 years Key skills: Java, Microservices, Elasticsearch / Solr Responsibilities: Lead/Principal Search Engineer for a large eCommerce retailer. Own technical strategy and hands-on delivery of scalable, low-latency search services. Champion Agile, relevancy tuning, and TDD to deliver robust, maintainable, high-performance search experiences. What youll do Design and develop search services using Java and microservices Architect, deploy, and optimize Elasticsearch/Solr clusters for scale, relevance, and resilience Build indexing pipelines; define schemas, analyzers, and query parsers Drive relevancy: synonyms, boosting, ranking signals, A/B tests, CTR optimization Deliver high-availability, low-latency APIs with strong security and observability Troubleshoot production issues; lead root-cause analysis and remediation Collaborate with product, data science, and platform teams on features/roadmaps Create designs, estimates, documentation; mentor engineers and enforce best practices Evaluate emerging search technologies to improve quality and productivity Preferred Qualifications: Strong relevancy tuning: analyzers, tokenizers, stemming, synonyms, BM25/DFR, boosting, learning-to-rank Indexing pipelines, near-real-time ingestion, CDC, and data modeling for search Observability and performance tuning (logging, metrics, tracing) Plus: Kafka/Spark/Flink for streaming/data pipelines Security for search platforms (AuthN/Z, TLS, RBAC) CI/CD, Docker, Kubernetes, and infrastructure as code Cloud (AWS/Azure/GCP); managed search services preferred Excellent communication, leadership, mentoring; effective remote collaboration across time zones