581 Elastic Search Jobs - Page 12

As a Front End Developer Implement security measures to protect data and applications. Work closely with data scientists, AI researchers, and other engineers to deliver high-quality AI-driven solutions. Deploy applications to cloud platforms, monitor their performance, and make necessary improvements. End-to-End designing, developing, and maintaining full-stack applications, ensuring seamless integration between frontend and back-end components. Design and develop web applications using React.js and Node.js Enhance the user experience of web applications by integrating React components Debug and troubleshoot React and Node.js applications Implement best practices for front-end development Collaborate with other developers to ensure application performance Ensure the quality of code and maintain code standards Manage source control and version control for applications Develop and maintain RESTful APIs to connect applications to backend services Monitor application performance and take corrective measures Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proficiency in JavaScript, ES6 + – Strong understanding of modern JavaScript concepts and best practices. React.js Expertise – Hands-on experience with React.js, including state management (Redux, Context API), component lifecycle, hooks, and performance optimization. Node.js & Express.js – Strong knowledge of server-side development using Node.js and Express.js to build scalable backend applications. RESTful APIs & GraphQL – Experience in designing, developing, and consuming APIs to enable seamless communication between front-end and back-end services. Database Management – Working knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Firebase) databases. Version Control – Proficiency in Git and GitHub/GitLab for source code management and collaboration. Frontend Development – Strong understanding of HTML5, CSS3, SCSS, Tailwind CSS, and responsive design principles. Authentication & Security – Experience with JWT, OAuth, session-based authentication, and implementing security best practices to protect applications. Cloud & Deployment – Familiarity with AWS, Azure, or Google Cloud for hosting, CI/CD pipelines, Docker, and Kubernetes. Testing & Debugging – Experience with unit testing (Jest, Mocha), integration testing, and debugging tools to ensure code quality. Preferred technical and professional experience Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. Experience working in EdTech or similar industries. Familiarity with cloud platforms (AWS, Azure, or GCP) is a bonus.

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 Total Exp-6-7 Yrs (Relevant-4-5 Yrs) Mandatory Skills: Azure Databricks, Python/PySpark, SQL, Github, - Azure Devops - Azure Blob Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java 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 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 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 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 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 behaviour’s. 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 Expertise in designing and implementing scalable data warehouse solutions on Snowflake, including schema design, performance tuning, and query optimization. Strong experience in building data ingestion and transformation pipelines using Talend to process structured and unstructured data from various sources. Proficiency in integrating data from cloud platforms into Snowflake using Talend and native Snowflake capabilities. Hands-on experience with dimensional and relational data modelling techniques to support analytics and reporting requirements. Understanding of optimizing Snowflake workloads, including clustering keys, caching strategies, and query profiling. Ability to implement robust data validation, cleansing, and governance frameworks within ETL processes. Proficiency in SQL and/or Shell scripting for custom transformations and automation tasks Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Tableau Desktop Specialist, SQL -Strong understanding of SQL for Querying database Good to have - Python ; Snowflake, Statistics, ETL experience. Extensive knowledge on using creating impactful visualization using Tableau. Must have thorough understanding of SQL & advance SQL (Joining & Relationships) Preferred technical and professional experience Must have experience in working with different databases and how to blend & create relationships in Tableau. Must have extensive knowledge to creating Custom SQL to pull desired data from databases. Troubleshooting capabilities to debug Data controls. Capable of converting business requirements into workable model. Good communication skills, willingness to learn new technologies, Team Player, Self-Motivated, Positive Attitude.

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 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 behaviour’s. 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

3+ years of hands-on experience on Collibra tool. Knowledge of Collibra DGC version 5.7 and onward Experience on Spring boot development Experience on Groovy and Flow able for BPMN workflow Development. Experience in both Business And Technical Metadata Experience on platform activity like job server setup and upgrade " Working as SME in data governance, metadata management and data catalog solutions, specifically on Collibra Data Governance. Client interface and consulting skills required Experience in Data Governance of wide variety of data types (structured, semi-structured and unstructured data) and wide variety of data sources (HDFS, S3, Kafka, Cassandra, Hive, HBase, Elastic Search) Partner with Data Stewards for requirements, integrations and processes, participate in meetings and working sessions Partner with Data Management and integration leads to improve Data Management technologies and processes. Working experience of Collibra operating model, workflow BPMN development, and how to integrate various applications or systems with Collibra Experience in setting up peoples roles, responsibilities and controls, data ownership, workflows and common processes Integrate Collibra with other enterprise toolsData Quality Tool, Data Catalog Tool, Master Data Management Solutions Develop and configure all Collibra customized workflows 10. Develop API (REST, SOAP) to expose the metadata functionalities to the end-users Location :Pan India

About the company: Our esteemed client is a leading global systems integrator and business transformation consulting organisation. Our client helps companies innovate and transform by leveraging its unique insights, differentiated services, and flexible partnering models. The company is among the Top mobile application development companies in India, and also a pioneer in web application development and Automation Testing. They have gained the trust of more than 300 offshore clients from 30+ countries worldwide and has become a trustworthy software partner. Job Overview: We are seeking a skilled Senior Python Developer with extensive experience in Python development and hands-on expertise in AWS cloud services. The ideal candidate will play a crucial role in developing, maintaining, and deploying backend services and cloud infrastructure. This position is primarily focused on Python development, complemented by AWS tasks. What you will do: Python Development : Design, develop, test, and deploy scalable and efficient backend solutions using Python. Write clean, maintainable, and well-documented code following best practices. Implement APIs, data processing workflows, and integrations with various services. Troubleshoot, debug, and optimize existing Python applications for performance and scalability. Collaborate with cross-functional teams, including frontend developers, QA engineers, and product managers, to deliver high-quality software. Conduct code reviews and mentor junior developers on best practices. AWS Cloud Management : Design, configure, and maintain AWS infrastructure components such as EC2, S3, Lambda, RDS, and CloudFormation. Implement and manage CI/CD pipelines using AWS services like CodePipeline, CodeBuild, and CodeDeploy. Monitor and optimize cloud resource usage, ensuring cost-effective and reliable cloud operations. Set up security best practices on AWS, including IAM roles, VPC configurations, and data encryption. Troubleshoot cloud-related issues, perform regular updates, and apply patches as needed. What you will bring to the table: Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in Python development. 3+ years of experience working with AWS services including EC2, S3, Lambda, RDS, CloudFormation, and Secrets Manager. Experience with modern AWS tools and services including API Gateway, DynamoDB, ECS, Amplify, CloudFront, Shield, OpenSearch (ElasticSearch). Strong knowledge of serverless architecture and deployment using the Serverless Framework. Proficiency in web frameworks such as Django, Flask, or FastAPI. Strong understanding of RESTful API design and integration via API Gateways. Solid experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., DynamoDB, MongoDB). Familiarity with DevOps practices and CI/CD tools. Experience with version control systems, particularly Git. Strong problem-solving skills and attention to detail. Excellent communication skills and ability to work in a team environment. Perks and benefits As per industry standard

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether its medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity . As a Staff Software Engineer, you will get an opportunity to work on features end to end (backend & frontend) using the latest technologies such as RoR, Java, GoLang, Angular, React, Redis, PostgreSQL. You will develop products that can change the logistics landscape and will be used by some of the biggest corporations in the world. You will develop integrations with our strategic partners to help expand our ecosystem. You will work closely with our US team and customers to develop features that help shape the logistics and supply chain industry. Who you are: Bachelor’s degree in Computer Science & Engineering or related field from a reputed institution. Minimum of 8 years of experience in Software Engineering and Web application development. Good understanding of software design, Microservices architecture, object-oriented principles, and design patterns. Experience with Design and development of highest quality software/services using RoR/Golang/Java. Good knowledge of RESTful APIs and microservices architecture Strong understanding of Java, Spring Framework, and object-oriented programming principles Experience in one of Azure, Amazon Web Services or other cloud services. Experience with databases such as MySQL, PostgreSQL, or MongoDB Familiarity with front-end technologies such as HTML, CSS, and JavaScript is a plus Strong knowledge of Git (branches, submodules, rebasing) and other Agile tools such as JIRA & Confluence. Agile SDLC experience Excellent oral and written communication skills What you’ll be doing: Design, architect, implement, test, profile, release, and optimize highest quality software/services using RoR/Golang/Java. Partner with product manages to analyse product requirements and plan engineering execution Document HLD/LLD for easy knowledge sharing and future scaling Perform design and code reviews Implement code with very high coverage of unit tests and component tests Cross-training peers and mentoring teammates Possess expert knowledge in performance, security, scalability, architecture, and best practices Functionally decompose complex problems into simple, straight-forward solutions Collaborate with UX designers to develop responsive user interface components Working knowledge of SQL based (any RDBMS) and NOSQL data stores (any one) with the ability to write intermediate level SQL Experience in building Web application backends using Java Spring Boot or similar Experience with frontend libraries/frameworks such as React/Angular is a plus. Education Qualification: Graduate from B.E/ B.Tech / MCA / M.Tech Background. Who we are: FourKites®, the leader in AI-driven supply chain transformation for global enterprises and pioneer of real-time visibility, turns supply chain data into automated action. FourKites’ Intelligent Control Tower™ breaks down enterprise silos by creating a real-time digital twin of orders, shipments, inventory and assets. This comprehensive view, combined with AI-powered digital workers, enables companies to prevent disruptions, automate routine tasks, and optimize performance across As the leader in AI-driven supply chain transformation, FourKites pioneered the Intelligent Control Tower™ powered by the world’s largest real-time visibility network. Our platform creates comprehensive digital twins of your supply chain with AI-powered digital workers to automate resolution, improve collaboration and drive outcomes across all stakeholders. Unlike traditional control towers, we enable true real-time execution and intelligent fulfillment, transforming both your supply and customer Benefits Medical benefits start on first day of employment 36 PTO days( Sick, Casual and Earned) , 5 recharge days, 2 volunteer days Home Office setups and Technology reimbursement Lifestyle & Family benefits Annual Swags/ Festive Swags Ongoing learning & development opportunities ( Professional development program, Toast Master club etc.)

Happiest Minds Technologies Pvt.Ltd is looking for Node Developer to join our dynamic team and embark on a rewarding career journey Design and develop server-side applications using Nodejs and related technologies Build reusable and testable code for future use and optimization Implement data storage solutions using databases such as MongoDB or MySQL Participate in code reviews and contribute to team-wide knowledge sharing and continuous improvement efforts Identify and troubleshoot performance issues and bugs and work to improve the performance and stability of server-side applications NodeJs,React JS,HTML,CSS,Javascript,Next JS,Nest JS

Java Architect with 15+ years of experience with ability to architect design distributed enterprise systems, create the required architecturediagrams, detailed design, deployment topoligies and communication mechanisms Hands on experience on microservices, CQS/CQRS, EDA DDD Hands onexperience in design, development of Microservices using Spring framework Good communication skills, help/lead a development scrum team of 5-6 members interms of providing the design,code reviews Good to have experience on Azureand related native services Architect with ability to design distributedenterprise systems and come up with detailed design for the Platform, work withthe team on the implementation 16+ years of professional experience in software development, with a strong focus on Java, NodeJs, Typescript and IOT. Experience in implementing solutions in AWS and IoT. Must have executed at least 2 large engagements as a Lead. Proven experience in architecting and building complex, scalable Node.js applications. Experience implementing AWS cloud solutions. Good to have Experience with DynamoDB and Elastic Search. Expertise in Node.js, JavaScript, and related frameworks (e.g., Express.js, Nest.js). Deep understanding of microservices architecture, API design, and integration patterns. Experience with databases (e.g., MongoDB, PostgreSQL) and caching systems. Experience in implementing micro-frontend architecture. Strong knowledge of front-end technologies (e.g., React, Angular, Vue.js) is a plus. Strong communication and interpersonal skills. Experience working in an Agile/Scrum development environment. Key Responsibilities: Provide technical leadership and expertise in designing, implementing

Strong exposure in Tutor openedx distribution installation, configuration anddeployment Exposure to Openedx platform features. Develop Tutor plugins for API, configuration and component extensioncustomization. Extensive experience in Python and Django. Good experience in MySQL, MongoDB, Redis and Elasticsearch Good experience in Docker, K8s and Azure 2 or more years of experience with Go Programming Language 4+ years of experience as a Software Developer Strong experience with Azure cloud technologies, including Azure Arm Templates and Bicep and various Azure Resources. 3 years of experience working with Github Actions and Github Workflows 2 or more years of experience working with Kubernetes and AKS.

BS or higher degree in Computer Science (or equivalent field) 3-6+ years of programming experience with Java and Python Strong in writing SQL queries and understanding of Kafka, Scala, Spark/Flink Exposure to AWS Lambda, AWS Cloud Watch, Step Functions, EC2, Cloud Formation, Jenkins

Solid experience in designing and developing enterprise grade B2B B2Capplication - Expertise in micro-frontend, React, Jest, Bootstrap, tailwind, HTML,CSS, NodeJS - Able to design a unified application through micro-frontend application - Good experience in SSO integration of various application - Closely coordinate with UX designers, enterprise solution architects,DevOps teams - Able to guide and work with group of 15-20 UI leads and engineers

8+ years experience combined between backend and data platform engineering roles Worked on large scale distributed systems. 5+ years of experience building data platform with (one of) Apache Spark, Flink or with similar frameworks. 7+ years of experience programming with Java Experience building large scale data/event pipelines Experience with relational SQL and NoSQL databases, including Postgres/MySQL, Cassandra, MongoDB Demonstrated experience with EKS, EMR, S3, IAM, KDA, Athena, Lambda, Networking, elastic cache and other AWS services.

Zestra Technologies is looking for React Native Developer to join our dynamic team and embark on a rewarding career journey Design and implement user interface components for JavaScript-based web and mobile applications using React ecosystem Build app and UI components from prototypes and wireframesImprove front-end performance by eliminating performance bottlenecks Create front-end modules with maximum code reusability and efficiency Implement clean, smooth animations to provide an excellent user interface

We are looking for an experienced Senior Big Data Developer to join our team and help build and optimize high-performance, scalable, and resilient data processing systems. You will work in a fast-paced startup environment, handling highly loaded systems and developing data pipelines that process billions of records in real time. As a key member of the Big Data team, you will be responsible for architecting and optimizing distributed systems, leveraging modern cloud-native technologies, and ensuring high availability and fault tolerance in our data infrastructure. Primary Responsibilities: Design, develop, and maintain real-time and batch processing pipelines using Apache Spark, Kafka, and Kubernetes. Architect high-throughput distributed systems that handle large-scale data ingestion and processing. Work extensively with AWS services, including Kinesis, DynamoDB, ECS, S3, and Lambda. Manage and optimize containerized workloads using Kubernetes (EKS) and ECS. Implement Kafka-based event-driven architectures to support scalable, low-latency applications. Ensure high availability, fault tolerance, and resilience of data pipelines. Work with MySQL, Elasticsearch, Aerospike, Redis, and DynamoDB to store and retrieve massive datasets efficiently. Automate infrastructure provisioning and deployment using Terraform, Helm, or CloudFormation. Optimize system performance, monitor production issues, and ensure efficient resource utilization. Collaborate with data scientists, backend engineers, and DevOps teams to support advanced analytics and machine learning initiatives. Continuously improve and modernize the data architecture to support growing business needs. Required Skills: 7-10+ years of experience in big data engineering or distributed systems development. Expert-level proficiency in Scala, Java, or Python. Deep understanding of Kafka, Spark, and Kubernetes in large-scale environments. Strong hands-on experience with AWS (Kinesis, DynamoDB, ECS, S3, etc.). Proven experience working with highly loaded, low-latency distributed systems. Experience with Kafka, Kinesis, Flink, or other streaming technologies for event-driven architectures. Expertise in SQL and database optimizations for MySQL, Elasticsearch, and NoSQL stores. Strong experience in automating infrastructure using Terraform, Helm, or CloudFormation. Experience managing production-grade Kubernetes clusters (EKS). Deep knowledge of performance tuning, caching strategies, and data consistency models. Experience working in a startup environment, adapting to rapid changes and building scalable solutions from scratch. Nice to Have Experience with machine learning pipelines and AI-driven analytics. Knowledge of workflow orchestration tools such as Apache Airflow.

Impact: Help build the foundation of our engineering practices, team, and culture. Excellence: Practice your craft in a well-structured, fast-paced environment. Ownership: Influence product and strategy direction your input matters. Collaboration: Work in a tight-knit, cross-functional team where your contributions have visible impact. What You'll Do Develop and maintain user-facing interfaces using modern frontend frameworks. Build reusable components and frontend libraries for use across the platform. Optimize components for performance across various browsers and devices. Collaborate with UX/UI designers to bring concepts to life with technical accuracy. Think from the user's perspective to resolve ambiguity and wear the product hat. Contribute to architecture and design decisions. What We're Looking For You're a senior individual contributor who has built scalable, modern web applications before. We value learners over resumes were looking for self-starters who feel accountable to their users and team. Highly productive with quality output: You know when to ship and when to refactor. Curious and quick learner: You're not afraid to jump into unknown codebases or tools. Startup mindset: You thrive in fast-moving environments and embrace ambiguity. Prior startup experience is a plus. Technical Skills React (Web): Deep understanding of modern React development. Tailwind CSS: Experienced in utility-first styling and responsive design. TypeScript: Proficient in type-safe JavaScript development. State Management: Familiarity with Zustand, Redux, or Context API. Build Tools: Comfortable with npm, webpack, and modern frontend build pipelines. Browser APIs: Experience with web performance techniques and browser-native features. What Youll Love About Us Equity + Compensation: Competitive salary and meaningful equity (best-in-class vesting schedule). Transparent Culture: No bureaucracy, just good people building ambitious products. Autonomy & Ownership: Take charge of your work and see the impact directly. Experimentation-Friendly: Try bold ideas we value creativity and initiative.

As a Software Engineer at RevX, you will take part in the implementation and delivery of robust features/products. You will work closely with software engineers, data engineers, engineering managers and product managers to build and ship new features that optimize customer engagement, and operational efficiency, and drive growth. Required Experience/Skills: Relevant work experience of 4+ years of software development role Strong in Data Structures, Algorithms, and Problem-Solving Skills Experience working on Java, J2EE, and Spring Boot applications. Experience in programming with Messaging (Kafka, RabbitMQ), Caching (Ehcache, Radis) Experience in programming with Mysql, Elastic search and Bigquery Experience working knowledge of Angular8+ (TypeScript) Experience with HTML5, CSS3, JavaScript ECMA5/6, and UI Frameworks. Working Knowledge of Unix environment (shell, scripting) Strong experience in Agile and Test-Driven Methodologies "Self-starter" attitude and the ability to make decisions independently Proficient understanding of deployment process of client-side application Proficient understanding of code versioning tools, such as Git or SVN Hands-on experience in responsive design Major Responsibilities: Design and build complex systems that can scale rapidly with little maintenance. Design and implement effective service/product interfaces. Able to lead and successfully complete software projects without major guidance from a manager/lead. Provide technical support for many applications within the technology portfolio. Respond to and troubleshoot complex problems quickly, efficiently, and effectively. Handle multiple competing priorities in an agile, fast-paced environment. Create and maintain documentation for your projects. Education: Bachelor of Engineering or similar degree from any reputed University.

General experience building, launching and maintaining online stores, as well as general knowledge of the admin system Demonstrable expertise with HTML5, CSS3, and JavaScript, with an in-depth understanding of DOM Extensive knowledge of JavaScript, web stacks, libraries, and frameworks. Experience with Shopify's theming system and Liquid templating Experience with implementing/debugging 3rd party Shopify apps as well as creating custom solutions if necessary Thorough understanding and experience with vanilla JavaScript, jQuery, ES2015/ES6, and modern JavaScript frameworks Experience with Shopify's object/properties, AJAX API, and Meta fields Experience developing for responsive layouts for a desktop, tablet, and mobile Experience working with 3rd party services and APIs, specifical plugins for Shopify Good organizational communication skills

Opportunity: We are seeking a highly skilled and experienced AI Infrastructure Engineer (or MLOps Engineer) to design, build, and maintain the robust and scalable AI/ML platforms that power our cutting-edge asset allocation strategies. In this critical role, you will be instrumental in enabling our AI Researchers and Quantitative Developers to efficiently develop, deploy, and monitor machine learning models in a high-performance, secure, and regulated financial environment. You will bridge the gap between research and production, ensuring our AI initiatives run smoothly and effectively. Responsibilities: Platform Design & Development: Architect, implement, and maintain the end-to-end AI/ML infrastructure, including data pipelines, feature stores, model training environments, inference serving platforms, and monitoring systems. Environment Setup & Management: Configure and optimize AI/ML development and production environments, ensuring access to necessary compute resources (CPUs, GPUs), software libraries, and data. MLOps Best Practices: Implement and advocate for MLOps best practices, including version control for models and data, automated testing, continuous integration/continuous deployment (CI/CD) pipelines for ML models, and robust model monitoring. Resource Optimization: Manage and optimize cloud computing resources (AWS, Azure, GCP, or on-premise) for cost-efficiency and performance, specifically for AI/ML workloads. Data Management: Collaborate with data engineers to ensure seamless ingestion, storage, and accessibility of high-quality financial and alternative datasets for AI/ML research and production. Tooling & Automation: Select, implement, and integrate various MLOps tools and platforms (e.g., Kubeflow, MLflow, Sagemaker, DataRobot, Vertex AI, Airflow, Jenkins, GitLab CI/CD) to streamline the ML lifecycle. Security & Compliance: Ensure that all AI/ML infrastructure and processes adhere to strict financial industry security standards, regulatory compliance, and data governance policies. Troubleshooting & Support: Provide expert support and troubleshooting for AI/ML infrastructure issues, resolving bottlenecks and ensuring system stability. Collaboration: Work closely with AI Researchers, Data Scientists, Software Engineers, and DevOps teams to translate research prototypes into scalable production systems. Documentation: Create and maintain comprehensive documentation for all AI/ML infrastructure components, processes, and best practices. Qualifications: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related quantitative field. Experience: 3+ years of experience in a dedicated MLOps, AI Infrastructure, DevOps, or Site Reliability Engineering role, preferably in the financial services industry. Proven experience in designing, building, and maintaining scalable data and AI/ML pipelines and platforms. Strong proficiency in cloud platforms (AWS, Azure, GCP) including services relevant to AI/ML (e.g., EC2, S3, Sagemaker, Lambda, Azure ML, Google AI Platform). Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes). Solid understanding of CI/CD principles and tools (Jenkins, GitLab CI/CD, CircleCI, Azure DevOps). Proficiency in scripting languages like Python (preferred), Bash, or similar. Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation, Ansible). Familiarity with distributed computing frameworks (e.g., Spark, Dask) is a plus. Understanding of machine learning concepts and lifecycle, even if not directly developing models. Technical Skills: Deep knowledge of Linux/Unix operating systems. Strong understanding of networking, security, and database concepts. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Familiarity with data warehousing and data lake concepts. Preferred candidate profile Exceptional problem-solving and debugging skills. Proactive and self-driven with a strong sense of ownership. Excellent communication and interpersonal skills, able to collaborate effectively with diverse teams. Ability to prioritize and manage multiple tasks in a fast-paced environment. A keen interest in applying technology to solve complex financial problems.

We are looking for a Kibana Subject Matter Expert (SME) to support our Network Operations Center (NOC) by designing, developing, and maintaining real-time dashboards and alerting mechanisms. The ideal candidate will have strong experience in working with Elasticsearch and Kibana to visualize key performance indicators (KPIs), system health, and alerts related to NOC-managed infrastructure. Key Responsibilities: Design and develop dynamic and interactive Kibana dashboards tailored for NOC monitoring. Integrate various NOC elements such as network devices, servers, applications, and services into Elasticsearch/Kibana. Create real-time visualizations and trend reports for system health, uptime, traffic, errors, and performance metrics. Configure alerts and anomaly detection mechanisms for critical infrastructure issues using Kibana or related tools (e.g., ElastAlert, Watcher). Collaborate with NOC engineers, infrastructure teams, and DevOps to understand monitoring requirements and deliver customized dashboards. Optimize Elasticsearch queries and index mappings for performance and data integrity. Provide expert guidance on best practices for log ingestion, parsing, and data retention strategies. Support troubleshooting and incident response efforts by providing actionable insights through Kibana visualizations. Primary Skills Proven experience as a Kibana SME or similar role with a focus on dashboards and alerting. Strong hands-on experience with Elasticsearch and Kibana (7.x or higher). Experience in working with log ingestion tools (e.g., Logstash, Beats, Fluentd). Solid understanding of NOC operations and common infrastructure elements (routers, switches, firewalls, servers, etc.). Proficiency in JSON, Elasticsearch Query DSL, and Kibana scripting for advanced visualizations. Familiarity with alerting frameworks such as ElastAlert, Kibana Alerting, or Watcher. Good understanding of Linux-based systems and networking fundamentals. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Preferred Qualifications: Experience in working within telecom, ISP, or large-scale IT operations environments. Exposure to Grafana, Prometheus, or other monitoring and visualization tools. Knowledge of scripting languages such as Python or Shell for automation. Familiarity with SIEM or security monitoring solutions.

Job Skills: Must have skills : Experience in designing and developing Web Apps using Java Spring Boot development, Core Java concepts around dependent technologies Expertise in building microservices Good understanding of EMS/NMS OOPs Concepts Design Patterns Clean understanding of Classes and Interfaces Generics, JVM and Memory Management, Caching Data into memory, Service Oriented Architecture, Concurrency (multithreading) Messaging Techniques, Complex Event Processing, Storage and Database Technologies (MongoDB, MySQL, ElasticSearch) Exposure to compiler like IDE OR ECLIPSE Value Add: Working experience with Dockers K8s Working knowledge on OSGI Knowledge on kafka, python, and ELK Good communication skills Scrum Master Problem solving skills You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers. 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.

Responsibilities: Lead and mentor a cross-functional team of senior backend, frontend, DevOps, and QA engineers Drive the development, maintenance, and optimization of a large-scale, modern fullstack search platform Ensure timely resolution of production issues and incidents across the stack Collaborate with engineers to deliver high-quality, end-to-end software solutions Work closely with a global team to evolve the platforms architecture and capabilities Oversee and participate in the release process, ensuring smooth and efficient deployments Optimize both backend and frontend codebases and infrastructure for performance, scalability, and availability Foster a collaborative, inclusive, and high-performing team culture Requirements: 6+ years of experience in fullstack development with a strong backend foundation 2+ years of experience in a technical leadership or team lead role Proficiency in Java, Spring Boot, object databases, ElasticSearch/Solr Solid experience with frontend technologies: TypeScript, JavaScript, Stencil.js, Svelte, CSS, HTML Experience with AWS, Docker, Kubernetes, REST APIs, and CI/CD pipelines Strong understanding of scalable, high-performance system design Excellent communication skills in English (B2+) Nice-to-have: Python, ETL pipelines, big data solutions, Node.js, test automation tools Soft Skills: Strong leadership and mentoring capabilities Excellent problem-solving and decision-making skills Ability to work collaboratively in a fast-paced, agile environment Effective interpersonal and communication skills Adaptability and a proactive mindset Team Information: Agile environment using SAFe, Scrum/Kanban methodologies Friendly, collaborative team culture Microservice architecture with extensive CI/CD automation Tools: Git, IntelliJ, Jira, Confluence, i3 by Tieto (search backend)

Job Summary : Primary keywords: Python, Mustache, GCP Full Stack Developer (Skills Required: Python, React.JS, GCP, Infrastructure, Terraform, Elasticsearch MUST HAVE: Should have 3+ years of hands-on experience with Python in backend development . Should have strong experience with Google Cloud Platform (GCP) services including Cloud Functions, Pub/Sub, Cloud Run, Batch, Workflows, Cloud Scheduler, Secret Manager, and IAM. Should have hands-on experience with Infrastructure as Code using Terraform . Should have experience with Elasticsearch , including writing and optimising Mustache scripts. Should have solid understanding and practical experience with event-driven architecture and asynchronous workflows. Should have experience in developing and maintaining unit tests for backend services. Familiarity with HTML, CSS, JavaScript, React.js , and Node.js for frontend development. Should be familiar with version control systems (preferably Git) and collaborative development workflows. Should be able to review complex code and follow best practices such as DRY and SOLID principles. Should have experience troubleshooting, debugging, and optimising applications for performance and scalability. GOOD TO HAVE Strong communication skills (both written and verbal). Familiarity with containerization (Docker). Ability to collaborate with multiple teams Skills Required: Python, React.JS, GCP, Infrastructure, Terraform, Elasticsearch