Job description TGT Computer TGT Music TGT English Role: Computers Teacher Industry Type: Education / Training Department: Teaching & Training Employment Type: Full Time, Permanent Role Category: Subject / Specialization Teacher Education UG: B.Tech/B.E. in Any Specialization, B.A in Arts&Humanities, English Key Skills Skills highlighted with ‘‘ are preferred keyskills Communication Skills ScratchAi TechniquesC++ JavaPythonTeaching

Job description Azure devops, AWS EKS , Terraform, Python, Kubernetes, SRE Job Summary We are seeking an experienced Infra Ops Specialist with 10 to 14 years of experience to join our team. The ideal candidate will have expertise in Kubernetes Azure DevOps AWS EKS Elastic Beanstalk Automation Python AWS GCP SRE Ansible and Terraform. This role requires a strong background in Consumer Lending. The work model is hybrid and the shift is day. No travel is required. Responsibilities read more Key Skills kubernetescdcontinuous integrationpythonsremicrosoft azurecloud platformseksazure devopsansibledockerelastic searchinfrastructure operationsautomationjavagcpdevopselastic beanstalkazure kuberneteslinuxterraformawsconsumer lendinggcp cloud

Job description Career Family:Tech Ops Role Type:Windows Automation Engineer Role Rank:Senior Position Summary: The Windows Automation Engineering role will provide automation development support in the form of developing automation capabilities to ensure functionality and usability is aligned to the strategic roadmap defined in the Digital Workplace Services area. This multifaceted team drives automation with the engagement of several management platforms focusing heavily on improving the end user experience. The team is constantly challenged to meet dynamic business needs with efficiency and transformation leveraging automation. Specific Responsibilities This position will support the team and provide automation development support in the form of developing automation capabilities to ensure functionality and usability is aligned with the organizations priorities, enabling delivery teams to do their work effectively. The engineer should have a deep familiarity with Windows Workstation OS and possess automation capabilities associated with these platforms. Lead efforts to advance operational efficiencies through identifying and automating repeatable tasks, enhancing monitoring and remediation, and driving automation to support self-service and self-healing capabilities. Leadership Competencies for this level include Accountability: Demonstrates reliability by taking necessary actions to continuously meet required deadlines and goals. Global Collaboration: Applies global perspective when working within a team by being aware of own style and ensuring all relevant parties are involved in key team tasks and decisions. Communication: Articulates information clearly and presents information effectively and confidently when working with others. Influencing: Convinces others by making a strong case, bringing others along to their viewpoint; maintains strong, trusting relationships while at the same time is comfortable challenging ideas. Innovation and Creativity: Thinks boldly and out of the box, generates new ideas and processes, and confidently pursues challenges as new avenues of opportunity. Qualifications At least 4 years of hands-on experience in PowerShell automation/scripting Strong experience with automation methodologies, strategies, best practice, and process improvement Experience with Metrics, Events Logging, and Tracing solutions using & connecting to various management platforms (Splunk, API, Databases, & etc.) You have knowledge and some experience with any of the following Python, Ansible, Bash, and/or Shell Scripting Role: IT Infrastructure Services - Other Industry Type: IT Services & Consulting Department: IT & Information Security Employment Type: Full Time, Permanent Role Category: IT Infrastructure Services Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Powershell AutomationDatabasesSplunk scriptingAPI

Job description Job Description: GCP Cloud Architect Opportunity: We are seeking a highly skilled and experienced GCP Cloud Architect to join our dynamic technology team. You will play a crucial role in designing, implementing, and managing our Google Cloud Platform (GCP) infrastructure, with a primary focus on building a robust and scalable Data Lake in BigQuery. You will be instrumental in ensuring the reliability, security, and performance of our cloud environment, supporting critical healthcare data initiatives. This role requires strong technical expertise in GCP, excellent problem-solving abilities, and a passion for leveraging cloud technologies to drive impactful solutions within the healthcare domain. Responsibilities: Cloud Architecture & Design: Design and architect scalable, secure, and cost-effective GCP solutions, with a strong emphasis on BigQuery for our Data Lake. Define and implement best GCP infrastructure management, security, networking, and data governance practices. Develop and maintain comprehensive architectural diagrams, documentation, and standards. Collaborate with data engineers, data scientists, and application development teams to understand their requirements and translate them into robust cloud solutions. Evaluate and recommend new GCP services and technologies to optimize our cloud environment. Understand and implement the fundamentals of GCP, including resource hierarchy, projects, organizations, and billing. GCP Infrastructure Management: Manage and maintain our existing GCP infrastructure, ensuring high availability, performance, and security. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or Cloud Deployment Manager. Monitor and troubleshoot infrastructure issues, proactively identifying and resolving potential problems. Implement and manage backup and disaster recovery strategies for our GCP environment. Optimize cloud costs and resource utilization, including BigQuery slot management. Collaboration & Communication: Work closely with cross-functional teams, including data engineering, data science, application development, security, and compliance. Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders. Provide guidance and mentorship to junior team members. Participate in on-call rotation as needed. Develop and maintain thorough and reliable documentation of all cloud infrastructure processes, configurations, and security protocols. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. Minimum of 5-8 years of experience in designing, implementing, and managing cloud infrastructure, with a strong focus on Google Cloud Platform (GCP). Proven experience in architecting and implementing Data Lakes on GCP, specifically using BigQuery. Hands-on experience with ETL/ELT processes and tools, with strong proficiency in Google Cloud Composer (Apache Airflow). Solid understanding of GCP services such as Compute Engine, Cloud Storage, Networking (VPC, Firewall Rules, Cloud DNS), IAM, Cloud Monitoring, and Cloud Logging. Experience with infrastructure-as-code (IaC) tools like Terraform or Cloud Deployment Manager. Strong understanding of security best practices for cloud environments, including identity and access management, data encryption, and network security. Excellent problem-solving, analytical, and troubleshooting skills. Strong communication, collaboration, and interpersonal skills. Bonus Points: Experience with Apigee for API management. Experience with containerization technologies like Docker and orchestration platforms like Cloud Run. Experience with Vertex AI for machine learning workflows on GCP. Familiarity with GCP Healthcare products and solutions (e.g., Cloud Healthcare API). Knowledge of healthcare data standards and regulations (e.g., HIPAA, HL7, FHIR). GCP Professional Architect certification. Experience with scripting languages (e.g., Python, Bash). Experience with Looker. Role: Technical Architect Industry Type: IT Services & Consulting Department: Engineer

Job description Responsibilities Write scalable, reusable code Mentor juniors Setup base project architecture for any new project Should ensure and support Project manager in full capacity during production release Should implement new tools, technologies, workflows as and when required for the project Should develop backend micro services as per project requirement Requirements Should have at least 5 yrs of professional experience before Should be good in communication and writing Should have worked with Git releases + ReadMe + ChangeLogs before Experience of mentoring juniors is added advantage Should have worked on product releases real time before Should be well versed with at least 2 programming languages in this list ( Python, Javascript, GoLang) knowledge on message brokers like Kafka, SQS, RMQ for Microservices communication Should have actively used cloud services like ECS, Lambda, SQS, S3, EC2, Firebase, CloudFunctions etc Role: Back End Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills BackendUsageGITECSArchitectureCloud ServicesJavascriptProgrammingPythonmicroservices

Job description Role & responsibilities Lead the development of generative AI applications using OpenAI models, LLMs, and RAG methods to enhance the accuracy and relevance of AI responses. Develop and optimize prompt engineering strategies for specific use cases to improve AI output quality. Build and integrate AI models into scalable applications using serverless architecture and cloud infrastructure (Azure preferred). Implement RAG techniques, combining retrieval of relevant data with LLM responses for accurate and context-aware outputs. Collaborate with product teams to integrate AI capabilities into the broader product ecosystem. Design and implement APIs that leverage AI models for real-time data processing and user interaction. Enhance performance and fine-tune LLMs for high accuracy and relevancy in diverse applications. Manage AI model deployment, monitoring, and improvement processes to ensure long-term scalability. Work on natural language processing (NLP) solutions to improve customer experience through AI-driven features. Ensure adherence to security, privacy, and ethical considerations of AI models. Lead a team of developers and collaborate with data scientists to integrate and optimize AI functionalities. Provide technical guidance and mentorship to junior developers in AI, LLM, and RAG projects. Preferred candidate profile 3-5 years of experience in AI and machine learning development, with a focus on generative AI and LLMs. Extensive experience with OpenAI, GPT models, and RAG methodologies. Expertise in prompt engineering for AI-driven applications. Strong experience in full-stack development with technologies like Python, Azure, and serverless architectures. Proven experience with Azure services such as Azure Container Apps, Azure Data Lake, Azure Cosmos DB, Azure SQL DB, and Azure Data Factory. Knowledge of API design, real-time data processing, and AI model optimization. Hands-on experience with NLP technologies and frameworks. Familiarity with CI/CD pipelines and best practices for continuous deployment and integration. Strong understanding of AI ethics, data privacy, and security considerations in AI-powered applications. Nice to Have: Experience with mobile development frameworks (e.g., CapacitorJS, Ionic). Familiarity with front-end frameworks and design principles (e.g., Material UI). Experience in advanced AI platforms (e.g., Bedrock, Anthropic). Experience in AI-powered chatbots and conversational AI solutions. Benefits: Competitive salary with performance bonuses. Fully remote and flexible working environment. Opportunities to work with cutting-edge AI technologies and innovative product teams. Career growth in a rapidly evolving industry focused on Generative AI and machine learning Role: Full Stack Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization, BCA in Any Specialization PG: MS/M.Sc(Science) in Any Specialization, M.Tech in Any Specialization, MCA in Computers Key Skills Skills highlighted with ‘‘ are preferred keyskills openaiPrompt EngineeringGenerative AiFullstack Developmentrag Azure Cloud ServicesPython

Job description Key Responsibilities: Design and architect highly available, scalable, and secure solutions on AWS. Lead cloud migration initiatives including lift-and-shift, re-platforming, and re-architecting. Define and implement AWS best practices for security, governance, and compliance. Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools such as Terraform or AWS CloudFormation. Set up and manage VPCs, IAM policies, EC2, S3, RDS, Lambda, API Gateway, CloudWatch, etc. Collaborate with DevOps, Application, and Security teams to implement CI/CD pipelines and secure cloud infrastructure. Monitor and troubleshoot AWS environments to ensure performance and reliability. Stay up to date with AWS service updates, features, and cloud trends. Must-Have Skills: Strong hands-on experience with core AWS services (EC2, S3, VPC, RDS, IAM, Lambda, CloudFormation, CloudWatch, etc.) Proficient in cloud architecture and design patterns Experience with Terraform or CloudFormation for IaC Deep understanding of AWS networking, security configurations, and identity & access management Experience in CI/CD tools and processes (e.g., AWS CodePipeline, Jenkins, GitHub Actions) Scripting knowledge in Python, Shell, or PowerShell Role: Security Architect / Consultant Industry Type: IT Services & Consulting Department: IT & Information Security Employment Type: Full Time, Permanent Role Category: IT Security Education UG: B.Tech/B.E. in Any Specialization PG: MCA in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills AWS Aws CloudformationTerraformAws InfrastructureAws CertifiedInfrastructure As CodeVpcAmazon CloudwatchIac

Job description Role: Data Engineer (Azure, Snowflake) - Mid-Level Duration: 6+ Months Location: Remote Working Hours: 12:30pm IST - 9:30pm IST (3am - 12pm EST) Job Summary: We are looking for a Data Engineer with solid hands-on experience in Azure-based data pipelines and Snowflake to help build and scale data ingestion, transformation, and integration processes in a cloud-native environment. Key Responsibilities: Develop and maintain data pipelines using ADF, Snowflake, and Azure Storage Perform data integration from various sources including APIs, flat files, and databases Write clean, optimized SQL and support data modeling efforts in Snowflake Monitor and troubleshoot pipeline issues and data quality concerns Contribute to documentation and promote best practices across the team Qualifications: 3-5 years of experience in data engineering or related role Strong hands-on knowledge of Snowflake, Azure Data Factory, SQL, and Azure Data Lake Proficient in scripting (Python preferred) for data manipulation and automation Understanding of data warehousing concepts and ETL/ELT patterns Experience with Git, JIRA, and agile delivery environments is a plus Strong attention to detail and eagerness to learn in a collaborative team setting Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Temporary/Contractual Role Category: Software Development Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills AzureData EngineeringAzure Data FactorySnowflakePython JiraSQLData Warehousing ConceptsGitAgileAzure Data LakeETLAzure Storage

Job description Role: Senior Data Engineer Azure/Snowflake Duration: 6+ Months Location: Remote Working Hours: 12:30pm IST - 9:30pm IST (3am - 12pm EST) Job Summary: We are seeking a Senior Data Engineer with advanced hands-on experience in Snowflake and Azure to support the development and optimization of enterprise-grade data pipelines. This role is ideal for someone who enjoys deep technical work and solving complex data engineering challenges in a modern cloud environment. Key Responsibilities: Build and enhance scalable data pipelines using Azure Data Factory, Snowflake, and Azure Data Lake Develop and maintain ELT processes to ingest and transform data from various structured and semi-structured sources Write optimized and reusable SQL for complex data transformations in Snowflake Collaborate closely with analytics teams to ensure clean, reliable data delivery Monitor and troubleshoot pipeline performance, data quality, and reliability Participate in code reviews and contribute to best practices around data engineering standards and governance Qualifications: 5+ years of data engineering experience in enterprise environments Deep hands-on experience with Snowflake, Azure Data Factory, Azure Blob/Data Lake, and SQL Proficient in scripting for data workflows (Python or similar) Strong grasp of data warehousing concepts and ELT development best practices Experience with version control tools (e.g., Git) and CI/CD processes for data pipelines Detail-oriented with strong problem-solving skills and the ability to work independently Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Temporary/Contractual Role Category: Software Development Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Azure Data FactoryData EngineeringSnowflakeAzure Data LakeEtl Development Etl ProcessScriptingPythonSQL

Job description Job Summary: We are seeking an experienced Informatica IDMC Developer/Consultant to join our dynamic team. In this role, you will work closely with business stakeholders to design, implement, and optimize data management solutions using Informatica Intelligent Data Management Cloud (IDMC). You will be responsible for deploying, configuring, and maintaining data integration processes and cloud-based services. Key Roles and Responsibilities: Informatica IDMC Implementation: Design, develop, and maintain data integration and data management solutions using Informatica IDMC. Configure and manage cloud-based data pipelines for data extraction, transformation, and loading (ETL). Implement best practices for data governance, data quality, and metadata management using Informatica tools. Cloud Data Integration: Integrate data from various cloud platforms (AWS, Azure, Google Cloud) into Informatica IDMC for seamless management. Ensure the smooth migration of on-premises data to the cloud environment. Troubleshooting and Optimization: Troubleshoot and resolve data integration and transformation issues. Optimize data integration workflows for improved performance and reliability. Collaboration & Communication: Work with cross-functional teams to define data requirements and ensure alignment with business objectives. Communicate with stakeholders to ensure that the solutions meet business needs. Documentation and Reporting: Create detailed documentation of integration workflows, data models, and technical specifications. Provide regular status updates and reports to stakeholders on project progress. Required Skills and Qualifications: Informatica IDMC Knowledge: Hands-on experience with Informatica Intelligent Data Management Cloud suite (e.g., Data Integration, Data Quality, Cloud Data Integration, and Metadata Management). Data Integration Expertise: Proficiency in ETL processes and tools, with experience in data transformation and orchestration. Cloud Platforms: Familiarity with cloud technologies and platforms such as AWS, Azure, or Google Cloud. SQL & Database Skills: Strong SQL skills and experience with relational databases such as Oracle, SQL Server, or PostgreSQL. Programming & Scripting: Knowledge of programming languages such as Python, Java, or Scala is a plus. Data Governance and Quality: Understanding of data governance, data quality frameworks, and metadata management. Role: Data Centre Ops and Server Management Industry Type: IT Services & Consulting Department: IT & Information Security Employment Type: Full Time, Permanent Role Category: IT Infrastructure Services Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills CDQIDMCCAICGDC