STEM Leads for GenAI Data Role Overview The Team Lead for [Maths/Physics/Chemistry/Biology/Coding/Finance] is a pivotal role that bridges deep academic expertise with the practical application of AI fine-tuning. You will be responsible for leading a team of SMEs, setting the gold standard for quality, and acting as the ultimate authority for your subject. Your primary objective is to guide your team in creating and curating the high-quality data that shapes the "brain" of our AI, ensuring its responses are not just correct, but also insightful, well-structured, and tailored to the learner's level. This is a role for a passionate educator and a meticulous expert who is excited by the prospect of teaching millions at scale through technology. Profile of the Ideal Candidate I. Core Responsibilities Team Leadership & Management: Define project scope and data creation requirements based on inputs from research and engineering teams Efficiently allocate team members and resources to specific data creation and evaluation projects, optimizing for expertise and workload. Lead, mentor, and manage a team of Subject Matter Experts, fostering a collaborative and high-performance culture, based on a thorough understanding of team capabilities Develop and manage team workflows, set clear performance goals, and provide regular, constructive feedback. Conduct final quality assurance and review of the team's work, ensuring consistency and adherence to the highest standards. Establish and report on key performance indicators (KPIs) for team productivity, data quality, and project timelines. Onboard and train new SMEs on our quality guidelines, tools, and fine-tuning methodologies. Subject Matter & Content Strategy: Act as the ultimate arbiter for content accuracy and quality in [Maths/Physics/Chemistry/Biology/Coding/Finance], from foundational concepts to advanced, post-graduate level topics. Develop, refine, and enforce a comprehensive quality rubric and style guide for AI responses. This includes standards for accuracy, clarity, depth, step-by-step explanations, and pedagogical effectiveness. AI Model Fine-Tuning & Evaluation: Collaborate closely with the AI/ML engineering team to translate subject matter nuances into actionable feedback for model improvement. Analyze the AI model's performance on [Maths/Physics/Chemistry/Biology/Coding/Finance] queries, identifying systemic weaknesses, biases, or recurring error patterns. Proactively identify and resolve operational bottlenecks or technical issues within the data creation workflow, collaborating with engineering and product teams as needed Design and oversee the creation of sophisticated evaluation datasets ("exam papers" for the AI) to benchmark model progress and accuracy. Guide the team in advanced prompt engineering and data creation techniques to address complex, multi-step problems and conceptual questions. Cross-Functional Collaboration: Serve as the primary point of contact between your subject team and other departments, including Product Management, Analytics, Engineering, and other Subject Leads. Communicate complex subject-specific challenges and requirements clearly to a non-expert audience (such as tooling and dashboarding needs) Contribute to the overall strategy for improving the AI's STEM capabilities. II. Required Qualifications & Experience Educational Background: A Ph.D. in [Maths/Physics/Chemistry/Biology/Coding/Finance] or a closely related field is strongly preferred. A Master's degree (M.Sc./M.Tech) from a premier institution (e.g., IIT, NIT, IISc) with an exceptional academic record is the minimum requirement. Deep Subject Expertise: Unassailable, demonstrable expertise across the breadth and depth of your subject, covering syllabi for JEE Mains & Advanced, and major undergraduate/postgraduate curricula. Teaching/Academic Experience: A minimum of 7-10 years of combined experience in teaching, research, or content development. Significant experience teaching for competitive exams (JEE Mains/Advanced) is a massive plus. Leadership Experience: Proven experience (2+ years) in a leadership or mentorship role, managing a team of academics, content creators, or researchers. Exceptional Communication Skills: Flawless written and verbal communication skills. Ability to articulate complex concepts simply and effectively. III. Preferred Qualifications (The "Ideal" Candidate) Ed-Tech Experience: Prior experience working in an educational technology company, especially one focused on AI-driven learning. Published Work: A track record of publications in reputable journals or authorship of acclaimed textbooks or study materials. Data-Driven Mindset: Comfortable using data and analytics to evaluate content quality and model performance. IV. Personal Attributes & Soft Skills Meticulous & Detail-Oriented: An obsession with accuracy and a keen eye for detail. You notice the small errors that others miss. Pedagogical Passion: A genuine passion for education and a deep understanding of what makes an explanation effective and engaging for a learner. Analytical Problem-Solver: You can break down complex problemswhether a physics question or a pattern of AI errors—into manageable parts and devise effective solutions. Highly Organized: Ability to manage multiple priorities and projects in a fast-paced, dynamic environment. Collaborative & Adaptable: Thrives in a team environment and is open to feedback and new ideas. You are excited by the challenge of working at the intersection of academia and technology.
Job Description: [1] Responsibilities: Model Quality Assessment: Evaluate the quality of AI model responses that include code, machine learning, AI, identifying errors, inefficiencies, and non-compliance with established standards. Code Annotation and Labeling: Accurately generate, annotate and label code snippets, algorithms, and technical documentation according to project-specific guidelines. Review and Feedback: Provide detailed, constructive feedback on model and other outputs Comparative Analysis: Compare multiple outputs and rank them based on criteria such as correctness, efficiency, readability, and adherence to programming best practices. Data Validation: Validate and correct datasets to ensure high-quality data for model training and evaluation. Collaboration: Work closely with data scientists and engineers to identify new annotation guidelines, resolve ambiguities, and contribute to the overall project strategy. Qualifications: Strong background in software engineering/development, computer science, ML/AI, or related technical field, with a keen eye for detail and a passion for data accuracy Programming Proficiency: Demonstrated expertise in: Python[2] [3] (must-have) and at least one or more common programming languages such as: JavaScript, Rust, Node.js, Typescript, C, C++, Shell (Bonus points) At least 1 or more less common programming languages such as: Rust, Shell, Go, Ruby, Swift, PHP, Kotlin Knowledge of web technologies & frameworks Web Scraping, API integration, HTML/CSS/JavaScript Web application development (e.g. Flask) Frontend (e.g. React) and backend (e.g. Node.js) development Machine Learning & Artificial Intelligence Machine Learning (General concepts, model development, experimentation, training, evaluation) Deep Learning (General, frameworks like TensorFlow, PyTorch, JAX, Keras, neural networks, CNNs, RNNs, transformer architecture, LSTM) Natural Language Processing (NLP) Reinforcement Learning (e.g., PPO, Q-learning, policy gradients, A2C, DQN, AlphaZero) Computer Vision (e.g., image processing, analysis, instance segmentation, OCR, deepfake detection) Game AI (Specific AI for intelligent opponents, understanding game states, actions, rewards) Data Science & Engineering Data Analysis & Manipulation (including Pandas, Matplotlib, Seaborn, NumPy, statistical analysis, general data processing, visualization libraries) Database Management (SQL, NoSQL, SQLite, data storage Algorithms & Mathematics Algorithms (General and specific like Monte Carlo Tree Search (MCTS), A* pathfinding, Sudoku solving, Collatz sequence, optimization, combinatorial problems) Software Engineering Practices & Tools Version Control (Git/GitHub) Coding Best Practices: A solid understanding of clean code principles, software design patterns, and debugging techniques. Attention to Detail: Meticulous attention to detail and the ability to follow complex, multi-step instructions precisely. Problem-Solving: Strong analytical and problem-solving skills to evaluate and troubleshoot complex coding solutions. Communication: Excellent written communication skills to provide clear, concise, and actionable feedback Proactiveness: Willingness to challenge the status quo to conduct a given task and achieve the end goal Preferred Qualifications: Experience with AI/ML concepts, particularly with large language models (LLMs) and code generation. Familiarity with various programming paradigms (e.g., object-oriented, functional). Experience with code review in a professional or academic setting. Experience in data annotation or similar quality assurance roles.
4+ years' hands-on experience designing, implementing, and managing ServiceNow Discovery, including ServiceNow Cloud Discovery ServiceNow Cloud Discovery experience should include Cloud Storage, Cloud Functions, Cloud APIs, Cloud Containers, etc. Experience developing, documenting, implementing, and maintaining ServiceNow Discovery governance processes, procedures, policies and related documentation Strong knowledge of IP Subnets to develop effective ServiceNow Discovery schedules Experience designing and implementing MID-Servers for ServiceNow Discovery Experience creating / updating ServiceNow Discovery IP ranges and schedules Experience must include knowledge of, and the ability to properly interpret and act on, CI IRE rules, discovery logs (e.g.: errors), patterns and probes (e.g.: debugging) ServiceNow CSA or ITOM certifications ServiceNow Discovery Fundamentals
Role & responsibilities Coding Rater- Responsibilities: Model Quality Assessment: Evaluate the quality of AI model responses that include code, machine learning, AI, identifying errors, inefficiencies, and non-compliance with established standards. Code Annotation and Labeling: Accurately generate, annotate and label code snippets, algorithms, and technical documentation according to project-specific guidelines. Review and Feedback: Provide detailed, constructive feedback on model and other outputs Comparative Analysis: Compare multiple outputs and rank them based on criteria such as correctness, efficiency, readability, and adherence to programming best practices. Data Validation: Validate and correct datasets to ensure high-quality data for model training and evaluation. Collaboration: Work closely with data scientists and engineers to identify new annotation guidelines, resolve ambiguities, and contribute to the overall project strategy. Qualifications: Strong background in software engineering/development, computer science, ML/AI, or related technical field, with a keen eye for detail and a passion for data accuracy Programming Proficiency: Demonstrated expertise in: Python[1] [2] (must-have) and at least one or more common programming languages such as: JavaScript, Rust, Node.js, Typescript, C, C++, Shell (Bonus points) At least 1 or more less common programming languages such as: Rust, Shell, Go, Ruby, Swift, PHP, Kotlin Knowledge of web technologies & frameworks Web Scraping, API integration, HTML/CSS/JavaScript Web application development (e.g. Flask) Frontend (e.g. React) and backend (e.g. Node.js) development Machine Learning & Artificial Intelligence Machine Learning (General concepts, model development, experimentation, training, evaluation) Deep Learning (General, frameworks like TensorFlow, PyTorch, JAX, Keras, neural networks, CNNs, RNNs, transformer architecture, LSTM) Natural Language Processing (NLP) Reinforcement Learning (e.g., PPO, Q-learning, policy gradients, A2C, DQN, AlphaZero) Computer Vision (e.g., image processing, analysis, instance segmentation, OCR, deepfake detection) Game AI (Specific AI for intelligent opponents, understanding game states, actions, rewards) Data Science & Engineering Data Analysis & Manipulation (including Pandas, Matplotlib, Seaborn, NumPy, statistical analysis, general data processing, visualization libraries) Database Management (SQL, NoSQL, SQLite, data storage Algorithms & Mathematics Algorithms (General and specific like Monte Carlo Tree Search (MCTS), A* pathfinding, Sudoku solving, Collatz sequence, optimization, combinatorial problems) Software Engineering Practices & Tools Version Control (Git/GitHub) Coding Best Practices: A solid understanding of clean code principles, software design patterns, and debugging techniques. Attention to Detail: Meticulous attention to detail and the ability to follow complex, multi-step instructions precisely. Problem-Solving: Strong analytical and problem-solving skills to evaluate and troubleshoot complex coding solutions. Communication: Excellent written communication skills to provide clear, concise, and actionable feedback Proactiveness: Willingness to challenge the status quo to conduct a given task and achieve the end goal Preferred Qualifications: Experience with AI/ML concepts, particularly with large language models (LLMs) and code generation. Familiarity with various programming paradigms (e.g., object-oriented, functional). Experience with code review in a professional or academic setting. Experience in data annotation or similar quality assurance roles. Minimum requirements for ALL: - proficiency in Python coding, - CS major unless the person seems to have experience that is commensurate with the CS major - Software engineering with good debugging techniques Preferred candidate profile
HLE Lead/Raters for GenAI Data Key Responsibilities: Engage with GEN AI researchers and engineers to understand data collection/evaluation requirements Expand high-level requirements into a detailed workflow and communicate the same to a larger team Execute very quickly on collection & evaluation workflows with minimal supervision Innovate on data collection workflows to determine the most efficient way of achieving the researcher/engineers goal Collaborate with peers & cross-functional stakeholders to achieve maximum data throughput with highest quality Conduct In-depth research using LLM models. Delve deep into specific domains to gather reliable and up-to-date information. Craft high quality and informative content which can involve generating original content or curating existing content to be optimized for the LLM evaluation and training. This includes writing deep researched problems that currently best of models are not able to answer. Fact checking and accuracy verification (precision and recall). Meticulously verify the factual integrity of the content, ensuring accuracy and mitigating the risk of the LLM generating misinformation once trained with this data. Required Qualifications & Experience: Educational Background: Masters with distinction, or preferably PhDs with deep domain expertise in finance, engineering, physics, chemistry and medicine . A graduate degree is also preferred however with extensive experience in the respective field. Graduated from a top-tier US and international university or institute Core Competencies & Skills: Content Development: Expertise in developing high-quality, original problems in the following domains finance engineering science/ physics science/ chemistry science/ medicine Exceptional Writing Proficiency: Mastery of grammar, syntax, style, and the ability to produce clear, concise, and engaging content across various formats (articles, blogs, technical documentation). Strong Research and Fact-Checking: Ability to conduct in-depth research, identify credible sources, and meticulously verify information for accuracy and to mitigate biases. Originality and Creativity: The skill to generate unique ideas, and content that avoids mimicry of AI-generated content and showcases a distinct human voice. Attention to Detail: Precision in language, accuracy in data presentation, and thorough proofreading to deliver polished, error-free work. Communication Skills: Ability to articulate ideas clearly, actively listen, collaborate effectively with teams, and convey complex information to diverse audiences. Understanding of AI and LLMs: A foundational understanding of AI principles, machine learning, deep learning, natural language processing (NLP), and how LLMs work, including their capabilities and limitations. Prompt Engineering: The skill to craft effective and precise prompts to elicit desired and high-quality outputs from LLM models, often described as essential for technical writers in an AI context. Familiarity with AI Tools: Experience using AI writing assistants and platforms to generate, refine, and optimize content. Ethical AI Awareness: Understanding potential biases in AI systems and the ethical implications of AI-generated content, with a focus on mitigating bias and promoting responsible use. Data Literacy: Ability to work with data, including understanding data collection, preparation, cleaning, and transformation for LLM training Bottom-line: We are looking for young individuals who demonstrated consistent academic excellence with strong pedagogical expertise, who can work in a dynamic and fast paced work environment under minimal supervision Role & responsibilities Preferred candidate profile
About the Role We are seeking driven and detail-oriented US and Domestic Recruiters to join our talent acquisition team. The ideal candidate will be responsible for sourcing, screening, and hiring top talent for various client requirements across industries. Freshers with strong communication skills and an interest in recruitment are also encouraged to apply. Key Responsibilities For All Levels (Freshers to Experienced): Source candidates through job portals, social media, networking, and internal databases. Review resumes and evaluate applicants technical and professional skills. Conduct preliminary screening via calls, video meetings, or in-person interviews. Coordinate interview schedules between candidates and hiring managers/clients. Maintain and update candidate records in the ATS/CRM systems. Ensure a positive candidate experience throughout the hiring cycle. Meet daily/weekly/monthly hiring targets. Responsibilities for US Recruiters (Additional): Work with W2, C2C, and 1099 employment types. Source and recruit candidates for requirements from US clients and vendors . Work in US time zones (EST/CST/MST/PST) . Negotiate salaries, rates, and contract terms with candidates. Understand US hiring regulations, employment laws, and compliance (E-Verify, I-9, etc.). Build and maintain strong relationships with US vendors and clients. Responsibilities for Domestic Recruiters (Additional): Handle end-to-end recruitment for clients across India. Coordinate with hiring managers for requirement gathering and updates. Conduct screening based on salary expectations, notice periods, and candidate stability. Manage bulk, lateral, and niche hiring as required. Maintain strong relationships with candidates and clients for smooth hiring processes. Required Skills For Freshers (0–1 Year): Excellent communication and interpersonal skills. Strong willingness to learn recruitment processes. Basic understanding of job portals (Naukri, Indeed, LinkedIn, Dice, Monster, etc.). Ability to multitask and work in a fast-paced environment. Good attitude, self-motivated, and target-driven. For Experienced Recruiters (1–6 Years): Strong experience in sourcing and full-cycle recruitment. Hands-on experience with job boards, Boolean search, and social recruiting. Good understanding of technical and non-technical job roles. Experience negotiating salaries and closing candidates. Ability to handle multiple requirements at once. Experience working with clients/vendors. Preferred Qualifications Bachelor’s degree in any discipline. Experience in staffing, consulting, or recruitment agencies (preferred but not mandatory for freshers). Familiarity with ATS systems like Bullhorn, JobDiva, Ceipal, or similar. Key Competencies Strong communication Time-management Customer/client service Problem-solving Negotiation skills Target orientation Team collaboration Role & responsibilities Preferred candidate profile
4 - 10 years of hands-on Salesforce development experience. Deep knowledge of Apex, Lightning Web Components (LWC), Aura, SOQL, and asynchronous Apex. Good functional understanding on Sales, Service, Experience, Field Service or Marketing cloud. Proven experience in designing scalable architectures, integration patterns, and event-driven frameworks. Expertise in Salesforce DX, Git-based DevOps, and automated deployments (Copado, Gearset, or Jenkins). Strong understanding of security models, sharing rules, and performance tuning. Establish CI/CD and testing (DevOps Center/Git), create test scenarios for dispatch/optimization, and drive UAT and cutover. Design and develop custom Salesforce solutions using Apex, Lightning Components (Aura and LWC), Visualforce, and Flows. Integrate Salesforce with external systems and applications using APIs and web services. Integration: Experience with integrating Salesforce using REST and SOAP APIs.
Location- PAN India Wipro location Notice - 0 to 15 Days JD - OSM Developer (Oracle Order and Service Management) Key Responsibilities Design, configure, and develop OSM cartridges for enterprise services (Fulfillment, Transformation, Decomposition). Implement end-to-end order orchestration for MPLS, ILL, SIPT, PRI, NPLC, IPLC, MSS, and SD-WAN. Integrate OSM with UIM (inventory) and IPSA (service activation). Develop and maintain integration flows using SOAP/REST, JMS, and Oracle SOA Suite. Collaborate with solution architects and business teams to translate enterprise service requirements into technical solutions. Troubleshoot and resolve issues across SIT, UAT, and production environments . Optimize orchestration plans and workflows for scalability and performance . Ensure compliance with telecom standards, coding best practices, and documentation . Required Skills 56 years of hands-on experience in Oracle OSM development. Strong expertise in OSM cartridge development (XQuery, XSLT, Java, Design Studio). Proven experience in Enterprise Telecom service fulfillment (MPLS, ILL, SIPT, PRI, NPLC, IPLC, MSS, SD-WAN). Good understanding of OSM data model, orchestration plans, and order lifecycle management . Experience with UIM integration for inventory and IPSA integration for service activation. Proficiency in Web Services (SOAP/REST), JMS, WebLogic . Strong knowledge of telecom OSS/BSS stack and enterprise order management lifecycle.
Position: AEM Developer Backend Developer (Apple) Locations: Hyderabad, Chennai, Bangalore, Bhubaneswar, Pune, Mumbai Rounds: 2 Technical Rounds Notice Period: Immediate to 30 Days Experience: 7+ Years (Relevant AEM Experience Mandatory) Job Description We are looking for an experienced AEM Backend Developer with strong expertise in Adobe Experience Manager and Java technologies. The ideal candidate should have 7+ years of relevant hands-on experience and the ability to deliver high-quality, scalable AEM solutions. Key Responsibilities Develop and enhance AEM components, workflows, and backend integrations. Work with Sling Models, OSGi services, JCR, and REST APIs. Optimize performance, indexing, caching, and dispatcher configurations. Ensure security best practices including ACLs, SSO, and permission management. Collaborate with cross-functional teams (QA, UX, PM) for end-to-end delivery. Manage CI/CD pipelines and support release deployments. Participate in code reviews and maintain high documentation standards. Work on AEM upgrades, service pack installations, and performance tuning. Required Skills A. Backend / AEM Core Stack Strong Java programming skills OSGi, Sling, JCR, WCM APIs Sightly / HTL, Sling Models Workflow, Workflow Launcher, Scheduler, Event Handler, Event Listener API integrations Multi-Site Manager (MSM) Query Builder, Search, Indexing JUnit Testing B. Frontend (AEM UI) Touch UI Sightly Components, Content & Experience Fragments Editable Templates ClientLibs Coral/Granite UI Customization C. Security Access Control Lists (ACLs) Security Layers Single Sign-On (SSO) D. Performance Optimization Page performance Dispatcher caching Query optimization Debugging and log-level analysis E. Infrastructure Dispatcher & Apache setup Cron Job setup TarMK / MongoMK / S3 Repository Setups F. Build & Deployment Maven / Ant Jenkins CI/CD pipeline setup Production deployment experience G. Java Expertise Exception Handling Collections Framework Design Patterns Multithreading H. AEM Upgrade Experience Service pack upgrade & Hotfix installation Pre-upgrade analysis In-place upgrade / Content migration Post-upgrade validation I. Additional Use Cases Migration from Non-CMS to AEM Headless CMS approach Integrations with external systems Coding best practices Preferred Prior Apple project experience is a strong advantage Experience with other CMS platforms and Digital Experience Platforms (DXPs)
1.Front End Engineer - Odido Front-End profiles, kindly ensure that candidates possess a minimum of 12 years of professional hands-on experience, particularly in Next.js. Please assess their expertise in the following technologies: React.js TypeScript Next.js (Hands on experience in projects) CI/CD or Cloud Deployment experience Key Responsibilities: Develop and maintain responsive, accessible UI components and pages using React, TypeScript, and Next.js Implement designs accurately from Figma, ensuring high visual and functional fidelity Optimize front-end performance and accessibility across browsers and devices Participate in code reviews and technical discussions within Agile Scrum team Required Skills and Technologies Programming Languages and Frameworks TypeScript (required) Next.js React Cloud and Infrastructure Amazon Web Services (AWS) AWS Secrets Manager Kubernetes (K8s) Amazon EKS (Elastic Kubernetes Service) Docker containers Helm charts Infrastructure as Code (IaC) Terraform Cloud-native architecture DevOps and Platform Engineering GitOps workflows ArgoCD CI/CD pipelines Enterprise Integration API integration REST APIs Microservices architecture CRM integration Headless CMS Networking and Security Security best practices Secrets management Required Experience 6+ years professional software engineering experience Frontend development with React, next.js, or React Native Container orchestration with Docker Agile methodologies and Scrum teams Algorithms and data structures Nice to have Experience Infrastructure as code with Terraform AWS cloud services and deployment Enterprise application development Large-scale business-critical applications Third-party system integration (CRM, enterprise platforms, APIs)
Back End Engineer - Odido Back-End profiles, candidates should have at least 12 years of professional hands-on experience, especially in Nest.js. Please evaluate their proficiency in the following areas: Nest.js CRM Integration TypeScript CI/CD or Cloud Deployment experience Key Responsibilities: Develop and maintain enterprise integration services and platform tooling using NestJS Provision and configure cloud environments using GitOps, CI/CD pipelines, Helm, Amazon EKS, and ArgoCD Integrate with enterprise systems including Netcracker, Salesforce CRM, internal APIs, and Storyblok headless CMS Implement infrastructure as code using Terraform for AWS cloud infrastructure Participate in code reviews and technical discussions within Agile Scrum team Deliver secure, scalable solutions in complex enterprise environments Required Skills and Technologies Programming Languages and Frameworks TypeScript Node.js Must have competence in NestJS or one of the following similar frameworks: Fastify Express Adonis React Cloud and Infrastructure Amazon Web Services (AWS) AWS Secrets Manager Kubernetes (K8s) Amazon EKS (Elastic Kubernetes Service) Docker containers Helm charts Infrastructure as Code (IaC) Terraform Cloud-native architecture DevOps and Platform Engineering GitOps workflows ArgoCD CI/CD pipelines Platform engineering Environment provisioning Enterprise Integration API integration REST APIs Microservices architecture CRM integration Headless CMS Enterprise system integration Distributed systems Networking and Security Enterprise networking Network architecture Security best practices Secrets management Required Experience 6+ years professional software engineering experience Backend development with Node.js and NestJS Container orchestration with Kubernetes, Docker, and Helm
Position: AEM Developer Backend Developer (Apple) Job Code: B2/BB:91264,91262 Locations: Hyderabad, Chennai, Bangalore, Bhubaneswar, Pune, Mumbai Let me know if you need any further information. Position: AEM Developer - Backend Rounds 2(Technical) Notice period immediate to 30days Overall Total Experience should be 7+ relevant Strong Java programming foundation Extensive hands on workflows, Sling servlet, REST, JSON, Lucene indexing is must. Exposure to Coral / Granite UI, Adobe UI customization is a must Deep understanding of AEM's security along with its Access Controls Expertise around extending AEM's core functionalities such as Launches Must have worked on AEM 6.4 or newer versions. Working Experience with Sightly / Sling models . Strong understand of core AEM components such as oak, sling and dispatcher Experience with Continuous Integration and Automated test execution and building tools such as Jenkins, Hudson, Selenium or Maven Work with project managers to ensure that all project deliverables are on time and high quality Work collaboratively with other teams; QA, UX, etc Exceptionally good at document and explaining core technical processes. Other CMS experiences and a good understanding of the DXP area Prior Apple experience is a strong plus • Detailed points that will be covered as part of this JD 1. Front-end technologies - Touch UI - Sightly - Component, Content and experience fragment, editable templates, Client. libs 2. AEM Technology stack (Backend ) - OSGI, JCR, Sling, WCM Api's, Sling Model - Workflow, workflow launcher, Event handler, Event listener, Scheduler, Sling Job - API integration - Multi-Site Manager setup - Query builder, Searching, Indexing, Session handling - Junit 3. Security - Access Control Lists (ACL), Single Sign On (SSO), Security layers 4. Performance Tuning - Page performance, Dispatcher caching - Query optimization - Debugging level 5. Infrastructure - Cronjob setup - Dispatcher setup - Apache setup 6. AEM Persistence setup 1. TarMK 2. MongoMK 3. S3 7. Build and deployment - Maven/Ant build, Jenkins, CI/CD pipeline - Production deployment 8. Language – Java - Exception handling - Collection framework - Design pattern - Multi-threading 9. AEM upgrade - Service pack upgrade and Hot fix installation - AEM version upgrade - Pre-upgrade Analysis - Upgrade planning (In place/Content migration) - Post-upgrade process 10. Use case - Migration from Non-CMS - Headless CMS Approach - Integration with Other technology - Coding best practice
Required skills: Java Application Support or Java Production Support Hands on Java support along with Web Services or APIs troubleshooting Java Based application support with SQL Knowledge FTP/SFTP knowledge L2/L3 support experience Postman, RCA's, SLAS Restful APIs, Stakeholder Management, and SOPs
he candidate will be responsible for designing, deploying, and managing ServiceNow Discovery and Service Mapping solutions that meet both current and anticipated requirements. Detailed Responsibilities : Design, deploy, and managed Discovery and Service Mapping solutions for both on-premises and cloud resources Define, create, and manage the Discovery infrastructure, including schedules, credentials, and mid-servers Define, create, and manage Service Mapping infrastructure, including patterns Provide Governance to ensure the integrity of Discovery and Service Mapping Develop, document, implement, and maintain Discovery and Service Mapping governance processes, procedures, and policies Create and maintain Discovery-related and Service Mapping-related documentation Design, develop, and deploy new Discovery or Service Mapping functionality Ensure that Discovery and Service Mapping are performing as expected Ensure Discovery meets it requirements, including schedule scope, schedule completion and CMDB data population Ensure Service Mapping meets is requirements, including CMDB data population Define, create, and monitor Discovery / Service Mapping health reports and dashboards Identify, investigate and resolve Discovery and Service Mapping issues Design and deploy Discovery and Service Mapping Integrations Design, implement, and manage Discovery and Service Mapping integrations with other systems Ensure that Discovery and Service Mapping are aligned with other methods of populating the CMDB Required Qualifications Comprehensive understanding and background in ServiceNow Discovery, including Cloud Discovery, and how each should populate the CMDB 5+ years' hands-on experience designing, implementing, and managing ServiceNow Discovery, including ServiceNow Cloud Discovery ServiceNow Cloud Discovery experience should include Cloud Storage, Cloud Functions, Cloud APIs, Cloud Containers, etc. Experience developing, documenting, implementing, and maintaining ServiceNow Discovery governance processes, procedures, policies and related documentation Strong knowledge of IP Subnets to develop effective ServiceNow Discovery schedules Experience designing and implementing MID-Servers for ServiceNow Discovery Experience creating / updating ServiceNow Discovery IP ranges and schedules Experience must include knowledge of, and the ability to properly interpret and act on, CI IRE rules, discovery logs (e.g.: errors), patterns and probes (e.g.: debugging) Knowledge of protocols such as HTTP, TCP, SNMP, SOAP, and REST System administration experience using SHELL/BASH and / or PowerShell Familiarity with XML and JSON/script language concepts Strong analytical and problem-solving ability Strong interpersonal skills Proven self-starter who is resourceful, takes the initiative, and sees it through Excellent verbal and written communication skills and a proven ability to interact professionally with a diverse group ServiceNow CSA or ITOM certifications ServiceNow Discovery Fundamentals
Note: We need Immediate joiners Responsibilities: Own product architecture and collaborate with product managers, designers, and other engineers to set the technical direction and create software that optimizes for business metrics Communicate technology and product strategy effectively to both internal and external stakeholders and leadership Build industry leading enterprise systems that are highly available, intuitive, scalable, and secure Produce highly reliable and performant code with appropriate monitoring and alerting Conduct design and code reviews to ensure scalability, performance and alignment with standards and best practices Analyze and improve efficiency, scalability, and stability of various system resources Managing requirement expectations with stakeholders to ensure alignment and satisfaction.• Ability to debug and monitor logs to identify and resolve issues efficiently. Utilizing logging tools and techniques to troubleshoot complex problems Participating in project planning and estimation to ensure realistic timelines and deliverables Breaking down large projects into smaller, manageable tasks and milestones Participating in project planning and estimation to ensure realistic timelines and deliverables. Breaking down large projects into smaller, manageable tasks and milestones. Providing L3 support for existing products, including troubleshooting and resolving complex issues. Refactoring code to improve performance, scalability, and maintainability. Implementing new features and functionality as per project requirements Creating and maintaining technical documentation for software applications and systems. Ensuring that documentation is up-to-date, accurate, and easily accessible. Conducting context studies for different products and tools to gain a deeper understanding of their functionality and requirements. Your Expertise: Bachelors Degree preferred, or equivalent combination of education, training, and experience. 5+ years of professional experience of Full Stack development which includes experience in front-end development, backend system architecture design, database design management and integration of service. Required experience in any of the following Frontend Frameworks: ReactJS, React Required experience in any following programming languages: PHP, Hack lang, JavaScript, Python, Java, C# Experience in No SQL/SQL, Object-Relational Mapping (ORM) Experience, Database design. 3+ years of professional experience working with code bases building micro services, REST APIs, Graph QL required. Experience in Asynchronous/Parallel Service Development Preferred Experience with Cloud Services e.g. AWS/Azure Log Monitoring in Distributed system Professional fluency in English required
Role & responsibilities JD: Design and execute test cases to validate ETL processes, data transformations, and data integrity. Perform source-to-target data validation using ETL tools such as Informatica, Ab Initio, or DataStage . Analyze data in databases using SQL to identify defects, mismatches, and data quality issues. Collaborate with ETL developers and business teams to understand requirements and resolve issues. Ensure data accuracy, completeness, and performance across data warehouse and reporting systems
JD Senior Salesforce Marketing Cloud Developer 5+ years is responsible for designing, building, and maintaining marketing automation solutions, creating and managing cross-channel customer journeys, and ensuring platform performance and data integrity. Key responsibilities include leveraging tools like Journey Builder and Automation Studio, coding with AMPscript, SQL, and HTML/CSS, and integrating with other systems like Salesforce CRM via APIs. Strong analytical skills, a deep understanding of digital marketing, and experience with regulatory compliance are also essential. Key responsibilities Design and develop solutions: Create and maintain marketing automation solutions using tools like Journey Builder, Automation Studio, and Content Builder. Build and customize: Develop dynamic and personalized email templates, CloudPages, and other content using AMPscript, HTML, and CSS. Data management: Write and maintain SQL queries for audience segmentation and data management within data extensions. Integrations: Integrate Marketing Cloud with other systems, such as Salesforce Sales/Service Cloud and third-party applications, using REST/SOAP APIs. Performance optimization: Monitor campaign performance metrics (e.g., open rates, click-through rates) and optimize for better engagement and return on investment (ROI). Compliance: Ensure data security, privacy, and compliance with regulations like CAN-SPAM and GDPR. Required skills and qualifications Experience: Typically, 5-8 years of experience with Salesforce Marketing Cloud. Technical skills: Proficiency in AMPscript, SQL, and HTML/CSS. Familiarity with APIs (REST/SOAP) for integrations. Experience with key SFMC tools: Journey Builder, Automation Studio, Content Builder, and Contact Builder. Marketing knowledge: Deep understanding of digital marketing processes, including cross-channel marketing and campaign orchestration. Experience with personalization and data-driven campaigns. Soft skills: Strong problem-solving and analytical skills, with the ability to translate business needs into technical solutions. Certifications: Salesforce Marketing Cloud certifications are a plus.
JD: Senior Salesforce Platform Developer / Expert (68 Years Experience) Position Summary We are seeking an Expert-level Salesforce Platform Developer with deep technical expertise and a passion for building scalable enterprise solutions. The ideal candidate will act as a technical lead, mentor junior developers, and contribute to architecture decisions for complex Salesforce implementations. Key Responsibilities • Lead the design and development of end-to-end Salesforce solutions, ensuring scalability and performance. • Develop complex logic using Apex, LWC, and Platform Events; implement reusable frameworks and patterns. • Architect and optimize data models, integrations, and automation across multiple Salesforce clouds. • Drive integration strategies using REST/SOAP APIs, Named Credentials, External Services, and MuleSoft. • Implement DevOps best practices including version control, CI/CD pipelines, and automated testing. • Conduct code reviews, enforce standards, and mentor junior developers. • Collaborate closely with architects, business analysts, and product owners to shape solution roadmaps. • Troubleshoot performance issues, optimize governor limits, and ensure secure coding practices. • Stay updated on new Salesforce releases and suggest adoption of relevant features. Required Skills & Experience • 6–8 years of hands-on Salesforce development experience. • Deep knowledge of Apex, Lightning Web Components (LWC), Aura, SOQL, and asynchronous Apex. • Good functional understanding on Sales, Service, Experience, Field Service or Marketing cloud. • Proven experience in designing scalable architectures, integration patterns, and event-driven frameworks. • Expertise in Salesforce DX, Git-based DevOps, and automated deployments (Copado, Gearset, or Jenkins). • Strong understanding of security models, sharing rules, and performance tuning. • Certified Platform Developer II (PDII) preferred. • Excellent communication and leadership skills. Nice to Have • Experience with OmniStudio, Einstein AI Soft Skills • Proven ability to lead and coach technical teams. • Strong ownership mindset with focus on delivery and innovation. • Ability to collaborate across business and technical teams in a global environment.
Role Overview We are looking for a Global Payroll Specialist to manage the end-to-end payroll lifecycle for our teams in India and the United States. You will be the bridge between our finance and HR departments, ensuring that employees in both regions are paid accurately while navigating two vastly different regulatory environments. Key Responsibilities 1. USA Payroll Management Tax Withholding: Process federal, state, and local taxes based on Form W-4 and state-specific withholding certificates. Compliance: Manage FICA (Social Security & Medicare), FUTA, and SUTA contributions. Benefits: Administer 401(k) deferrals, health insurance premiums (Section 125 plans), and HSA/FSA contributions. Year-End: Assist in the generation and distribution of Forms W-2 and 1099-NEC. 2. India Payroll Management Salary Structuring: Manage the CTC breakup (Basic, HRA, LTA, Special Allowance) and ensure compliance with the New Labour Codes. Statutory Filings: Oversee monthly EPF (ECR), ESIC, and Professional Tax (PT) deposits across different states. TDS & Income Tax: Manage the investment declaration process (Form 12BB), compute monthly TDS, and issue Form 16 annually. Full & Final: Process F&F settlements, including gratuity and leave encashment calculations. 3. General Operations Software Proficiency: Work across global platforms such as ADP (GlobalView/Run), Workday, Zenefits, or Keka/GreytHR. Reconciliation: Perform monthly audits to ensure payroll registers match bank transfer files and accounting ledgers. Required Skills & Qualifications Experience: 2+ years of hands-on experience in both India and US payroll. Education: B.Com, MBA Finance, or equivalent. (FPC/CPP or Indian Labour Law certification is a major plus).
Role Overview We are looking for a data-driven and creative Digital Marketing Specialist to join our growing team. You will be responsible for executing and optimizing our digital presence across multiple channels, including social media, email, and search engines. The ideal candidate has a foundational understanding of the digital marketing funnel and is eager to experiment, measure results, and scale what works. Key Responsibilities Campaign Management: Execute day-to-day social media posts, email newsletters, and basic PPC campaigns. Content Coordination: Collaborate with designers and copywriters to produce high-quality assets for ads and organic channels. SEO & SEM: Perform keyword research and assist in managing Google Ads and on-page SEO optimizations. Reporting & Analytics: Track KPIs using Google Analytics and platform-specific insights to provide weekly performance reports. A/B Testing: Assist in testing landing pages, ad copy, and subject lines to improve conversion rates. Market Research: Stay up-to-date with the latest digital trends and competitor activities. Required Skills & Qualifications Experience: 1+ years of professional experience in digital marketing (can include high-level internships). Tools: Proficiency with Google Analytics , Meta Ads Manager , and email marketing software (e.g., Mailchimp, HubSpot, or Klaviyo). Copywriting: Strong ability to write engaging headlines and short-form ad copy. Technical Literacy: Basic understanding of SEO principles (keywords, meta tags, backlinking). Mindset: A "test-and-learn" attitude with strong attention to detail and deadlines. Preferred (Bonus) Skills Basic graphic design skills (Canva or Adobe Creative Suite). Experience with CMS platforms like WordPress or Shopify.