1171 Cloud Platform Jobs - Page 30

At STAEDEAN , we are motivated by a simple yet impactful mission: to empower our customers by solving complex business challenges with seamless digital solutions. Trusted by over 2,000 customers worldwide, we are an enthusiastic and tech-savvy team dedicated to driving innovation at every step. As an AI/ML Engineer, you will be a core contributor to the implementation of intelligent, production-ready solutions that integrate seamlessly with Microsoft platforms. Working closely with our AI Architect, Data Scientist, and Product Owners, you will bring AI concepts to lifebuilding robust pipelines, interfaces, and integrations for ERP and business applications powered by large language models (LLMs), Azure AI, and Copilot. Your responsibilities will include: What You Need to Succeed: Proven experience in AI/ML applications, ideally in enterprise or ERP settings Hands-on experience with Azure AI services, Copilot, and ERP systems, preferably Microsoft Dynamics 365 or similar platforms Familiarity with Power Platform, Power BI, and Dataverse Strong Python skills for backend logic, data processing, and model orchestration Experience building modular pipelines, APIs, and workflows in cloud environments Understanding of prompt engineering, RAG (Retrieval-Augmented Generation) and fine-tuning, and LLM evaluation best practices Ability to work independently and take ownership of projects while meeting deadlines Strong collaboration and communication skillsyou can align with architects, developers, and business stakeholders Bonus: Experience with MLOps, DevOps, CI/CD, and monitoring tools

Group Company: MINDSPRINT DIGITAL (INDIA) PRIVATE LIMITED Designation: Data SolutionArchitect JobDescription: Design,architect, and implement scalable data solutions on Google Cloud Platform (GCP)to meet the strategic data needs of the organization. Leadthe integration of diverse data sources into a unified data platform, ensuringseamless data flow and accessibility across the organization. Developand enforce robust data governance, security, and compliance frameworkstailored to GCP's architecture. Collaboratewith cross-functional teams, including data engineers, data scientists, andbusiness stakeholders, to translate business requirements into technical datasolutions. Optimizedata storage, processing, and analytics solutions using GCP services such asBigQuery, Dataflow, and Cloud Storage. Drivethe adoption of best practices in data architecture and cloud computing toenhance the performance, reliability, and scalability of data solutions. Conductregular reviews and audits of the data architecture to ensure alignment withevolving business goals and technology advancements. Stayinformed about emerging GCP technologies and industry trends to continuouslyimprove data solutions and drive innovation. ProfileDescription: Experience:12-15 years of experience in data architecture, with extensive expertise inGoogle Cloud Platform (GCP). Skills:Deep understanding of GCP services including BigQuery, Dataflow, Pub/Sub, CloudStorage, and IAM. Proficiency in data modeling, ETL processes, and datawarehousing. Qualifications:Masters degree in Computer Science, Data Engineering, or a related field. Competencies:Strong leadership abilities, with a proven track record of managing large-scaledata projects. Ability to balance technical and business needs in designingdata solutions. Certifications:Google Cloud Professional Data Engineer or Professional Cloud Architectcertification preferred. Knowledge:Extensive knowledge of data governance, security best practices, and compliancein cloud environments. Familiarity with big data technologies like ApacheHadoop and Spark. SoftSkills: Excellent communication skills to work effectively with both technicalteams and business stakeholders. Ability to lead and mentor a team of dataengineers and architects. Tools:Experience with version control (Git), CI/CD pipelines, and automation tools.Proficient in SQL, Python, and data visualization tools like Looker or Power BI. Required abilities Physical: Other: Work Environment Details: Specific requirements Travel: Vehicle: Work Permit: Other details Pay Rate: Contract Types: Time Constraints: Compliance Related: Union Affiliation:

Project Role : Sales Origination Practitioner Project Role Description : Orchestrate and lead the entire origination process for a cross-client, cross service-group deal working with the CAL, the client team and relevant subject matter experts. Must have skills : Sales Pursuit Management Good to have skills : Google Cloud Platform Architecture, Google Cloud Compute ServicesMinimum 15 year(s) of experience is required Educational Qualification : BE Summary :As a Sales Origination Practitioner, you will orchestrate and lead the entire origination process, cross service-group deal working with the CAL, the client team and relevant subject matter experts. You will be responsible for driving the sales pursuit management and ensuring successful deal closures. Your typical day will involve collaborating with the client team, coordinating with subject matter experts, and leveraging your expertise in sales pursuit management to drive the origination process and achieve sales targets. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the origination process cross service-group deals.- Collaborate with the client team and relevant subject matter experts.- Drive the sales pursuit management and ensure successful deal closures. Professional & Technical Skills: - Must To Have Skills: Proficiency in Sales Pursuit Management.- Good To Have Skills: Experience with Google Cloud Platform Architecture, Google Cloud Compute Services.- Strong understanding of sales strategies and techniques.- Experience in managing complex sales pursuits.- Proven track record of achieving sales targets.- Excellent communication and negotiation skills. Additional Information:- The candidate should have a minimum of 15 years of experience in Sales Pursuit Management.- This position is based at our Gurugram office.- A BE degree is required. Qualification BE

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationAs an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities:- Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist.- Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques.- Experience with chatbot , generative AI models, prompt Engineering- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 7 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15 years full time education is required Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationAs an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities:- Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist.- Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques.- Experience with chatbot, generative AI models, prompt Engineering- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 7 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15-year full time education is required Qualification 15 years full time education

Project Role : Sales Origination Practitioner Project Role Description : Orchestrate and lead the entire origination process for a cross-client, cross service-group deal working with the CAL, the client team and relevant subject matter experts. Must have skills : Sales Pursuit Management Good to have skills : Google Cloud Platform Architecture, Google Cloud Compute ServicesMinimum 15 year(s) of experience is required Educational Qualification : BE Summary :As a Sales Origination Practitioner, you will orchestrate and lead the entire origination process for cross service-group deal working with the CAL, the client team and relevant subject matter experts. You will be responsible for driving the sales pursuit management and ensuring successful deal closures. This role requires strong leadership skills and the ability to collaborate with multiple teams to achieve sales targets and deliver exceptional customer experiences. Roles and Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead and manage the entire origination process for cross-client, cross service-group deals.- Collaborate with the CAL, client team, and subject matter experts to drive successful deal closures.- Develop and maintain strong relationships with clients and stakeholders.- Provide guidance and support to junior professionals in the sales pursuit management process. Professional and Technical Skills: - Must To Have Skills: Proficiency in Sales Pursuit Management.- Good To Have Skills: Experience with Google Cloud Platform Architecture, Google Cloud Compute Services.- Strong understanding of sales strategies and techniques.- Excellent communication and negotiation skills.- Ability to analyze market trends and identify business opportunities.- Proven track record of achieving sales targets.- Experience in managing complex sales processes.- Ability to build and maintain strong client relationships. Additional Information:- The candidate should have a minimum of 15 years of experience in Sales Pursuit Management.- This position is based at our Chennai office.- A BE degree is required. Qualification BE

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for a seasoned Senior Manager CCAI Architect with deep expertise in designing and delivering enterprise-grade Conversational AI solutions using Google Cloud's Contact Center AI (CCAI) suite. This role demands a visionary leader who can bridge the gap between business objectives and AI-driven customer experience innovations. As a senior leader, you will drive architectural decisions, guide cross-functional teams, and define the roadmap for scalable and intelligent virtual agent platforms. Roles & Responsibilities:- Own the end-to-end architecture and solution design for large-scale CCAI implementations across industries.- Define best practices, reusable frameworks, and architectural patterns using Google Dialogflow CX, Agent Assist, Knowledge Bases, and Gen AI capabilities.- Act as a strategic advisor to stakeholders on how to modernize and transform customer experience through Conversational AI.- Lead technical teams and partner with product, operations, and engineering leaders to deliver high-impact AI-first customer service platforms.- Oversee delivery governance, performance optimization, and scalability of deployed CCAI solutions.- Evaluate and integrate cutting-edge Gen AI models (LLMs, PaLM, Gemini) to enhance virtual agent performance and personalization.- Enable and mentor architects, developers, and consultants on Google Cloud AI/ML tools and CCAI strategies.- 10+ years of experience in enterprise solution architecture, with 4+ years in Google Cloud AI/ML and Conversational AI platforms.- Deep expertise in Dialogflow CX, CCAI Insights, Agent Assist, Gen AI APIs, and GCP architecture.Strong leadership in managing large transformation programs involving AI chatbots, voice bots, and omnichannel virtual agents.- Proven ability to engage with senior stakeholders, define AI strategies, and align technical delivery with business goals.- Experience integrating AI solutions with CRMs, contact center platforms (e.g., Genesys, Five9), and backend systems.- Certifications in Google Cloud (e.g., Professional Cloud Architect, Cloud AI Engineer) are a strong plus.- Exceptional communication, thought leadership, and stakeholder management skills. Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques.- Experience with chatbot, generative AI models, prompt Engineering.V- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 18+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15-year full time education is required Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities:- Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.- Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques.- Experience with chatbot , generative AI models, prompt Engineering.- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15 years full time education is required Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities:- Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist.- Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques.- Experience with chatbot , generative AI models, prompt Engineering- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 7 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15 years full time education is required Qualification 15 years full time education

We are looking for an experienced DevOps Architect with 10-15 years of expertise to work on a full-time . The ideal candidate should possess strong proficiency in Google Cloud Platform and Python scripting. You will be responsible for developing Infrastructure as Code modules, creating CI/CD pipelines, and implementing scalable and secure cloud-based solutions. The role involves working closely with product owners and engineering teams to set up monitoring, logging, and alerting frameworks, while ensuring timely delivery of infrastructure improvements. A hands-on approach, strong problem-solving skills, and independent troubleshooting ability are essential. Immediate joiners only. Locations : Mumbai, Delhi NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

We at EMIDS, are hiring for Sr. Data Architect Role Please find the details below and share your interest at aarati.pardhi@emids.com Job Description : We are looking for a highly experienced Senior Data Architect with a strong background in big data technologies, cloud platforms, advanced analytics, and AI. The ideal candidate will lead the end-to-end design and architecture of scalable, high-performance data platforms using PySpark, Databricks, and major cloud platforms (Azure/AWS/GCP). A strong understanding of AI/ML pipeline integration and enterprise data strategy is essential. Key Responsibilities: Should have experience on Building Data and AI Products Lead the data architecture design across modern data platforms using PySpark, Databricks, and cloud-native technologies. Define data models, data flow, and architecture blueprints aligned with business and analytical requirements. Architect and optimize big data pipelines and AI/ML workflows, ensuring performance, scalability, and reliability. Collaborate with business stakeholders, data scientists, and engineers to enable advanced analytics and predictive modeling capabilities. Design and implement data lakehouses, ingestion frameworks, and transformation layers. Provide technical leadership and mentoring to data engineers and developers. Drive adoption of data governance, security, and metadata management practices. Evaluate emerging technologies and recommend tools to support enterprise data strategies.

We are looking for an experienced Data Architect with BI skills to join our team and work with a leading media client in the USA. The ideal candidate will be proficient in designing and implementing data warehouse solutions (as our project is Data Driven), developing complex SQL queries, building ETL and ELT pipelines, and working with various cloud technologies. You will collaborate with developers, analysts, and stakeholders to build robust data solutions and ensure high-quality data delivery across different platforms. Key Responsibilities Design, architect, and implement scalable data warehouse solutions using cloud technologies like Snowflake or Google BigQuery. Develop ETL and ELT pipelines for data integration and transformation. Build storage solutions for structured and unstructured data to support data science pipelines. Work with cloud platforms such as GCP, AWS, or Azure to build and maintain scalable data solutions. Develop reporting solutions using tools like ThoughtSpot, Tableau, or Google Data Studio. (as BI) Collaborate with teams to refine processes, improve performance, and integrate new technologies as required. Qualifications Bachelor's degree in computer science, Information Systems, Engineering, or related field (or equivalent). 10+ years of experience in designing data warehouse solutions, writing complex SQL queries, developing ETL/ELT pipelines, and reporting development. 4+ years of experience in programming languages like Python. 3+ years of experience in designing solutions for structured and unstructured data, using cloud data warehouses (e.g., Snowflake, Google BigQuery), and cloud platforms (e.g., GCP, AWS, Azure). 2+ years of experience in reporting development with tools like ThoughtSpot, Tableau, or Google Data Studio. 2+ years of experience in digital advertising technologies, including ad serving, analytics, DSP, DMP, SSP, QA, targeting, and related tools (e.g., Freewheel, MadHive, Simplifi). Strong Business Intelligence (BI) skills, including designing dashboards, data visualizations, and reports to support business decision-making. Experience with customer-driven design, lean startup methodologies, and understanding customer needs on both a business and technical level. Familiarity with data pipelines, cloud technologies, and media content management systems

Have knowledge on Microsoft cloud platform Azure AD and Azure IAM. Should understand Identity Lifecycle management, Access Management, Multi-factor Authentication and Privilege Identity and Access implementation knowledge. Should be having IDAM project experience. Knowledge of Active Directory Identities and the Life cycle user creation/modification, security group - creation/modification, password management. Knowledge of Azure Cloud and Azure AD. Azure SSO Configurations, Azure MFA Configurations and Troubleshooting Understanding of Conditional Access Policies Knowledge of Azure AD RBAC concepts, Custom Roles and PAM configurations Knowledge of monitoring the Azure AD logs Knowledge of creating NSGs and modifications of it. Knowledge of Azure Identity Provisioning Service Knowledge of Azure Identity Governance. PowerShell Training and should be able to write scripting for Azure AD and PowerShell Command lets. Do Ensuring customer centricity by providing apt cybersecurity Monitoring and safeguarding the log sources and security access Planning for disaster recovery in the event of any security breaches Monitor for attacks, intrusions and unusual, unauthorized or illegal activity Performs moderately complex log reviews and forensic analysis to identify unauthorized or unacceptable access to data or systems Conduct security assessments, risk analysis and root cause analysis of security incidents Handling incidents escalated by the L1 team in 24x7 rotational shifts Use advanced analytics tools to determine emerging threat patterns and vulnerabilities Completing all tactical security operations tasks associated with this engagement. Analyses all the attacks and come up with remedial attack analysis Conduct detailed analysis of incidents and create reports and dashboards Stakeholder coordination & audit assistance Liaise with stakeholders in relation to cyber security issues and provide future recommendations Maintain an information security risk register and assist with internal and external audits relating to information security Assist with the creation, maintenance and delivery of cyber security awareness training for colleagues Advice and guidance to employees on issues such as spam and unwanted or malicious emails Deliver No. Performance Parameter Measure 1. Customer centricity Timely security breach solutioning to end users, Internal stakeholders & external customers experience 2. Process Adherence Adherence to SLAs (90-95%), response time and resolution time TAT

Job Purpose: Responsible for Technical Project Management of identified projects taken up by Enterprise Factory Bangalore team. Role & responsibilities : Responsible for project management of the Infrastructure Deliverables for Payments and Retail development Projects. Drive the project in an agile way following all the Scrum and Kanban Responsible for providing all required project management artifacts for the project, compliance and regulatory. Prepare detailed project plan, test plans among others Co-ordinate with all project stakeholders to ensure successful delivery of the project Skills: Good know-how of GCP/AWS/Azure Cloud Infrastructure, Microservices Architecture, SQL/NoSQL databases, OpenShift, DevSecOps Exposure to Front end technology like React/Flutter builds will be added value Experience with containerization technologies and deployment patterns. Agile and Digital product delivery experience is a must Strong technical background and Project Management experience Operate effectively in a matrix structure Ability to prepare detailed project plans anticipating all the activities in the project Allocate tasks to team members, monitor and track progress Strong knowledge of JIRA and Confluence Be proactive, open and honest in communicating with management as well as client Ability to identify and mitigate risks and issues Ability to prepare comprehensive status reports, perform management reviews

Location: Remote / Pan India,Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Notice Period: Immediate iSource Services is hiring for one of their client for the position of Java kafka developer. We are seeking a highly skilled and motivated Confluent Certified Developer for Apache Kafka to join our growing team. The ideal candidate will possess a deep understanding of Kafka architecture, development best practices, and the Confluent platform. You will be responsible for designing, developing, and maintaining scalable and reliable Kafka-based data pipelines and applications. Your expertise will be crucial in ensuring the efficient and robust flow of data across our organization. Develop Kafka producers, consumers, and stream processing applications. Implement Kafka Connect connectors and configure Kafka clusters. Optimize Kafka performance and troubleshoot related issues. Utilize Confluent tools like Schema Registry, Control Center, and ksqlDB. Collaborate with cross-functional teams and ensure compliance with data policies. Qualifications: Bachelors degree in Computer Science or related field. Confluent Certified Developer for Apache Kafka certification. Strong programming skills in Java/Python. In-depth Kafka architecture and Confluent platform experience. Experience with cloud platforms and containerization (Docker, Kubernetes) is a plus. Experience with data warehousing and data lake technologies. Experience with CI/CD pipelines and DevOps practices. Experience with Infrastructure as Code tools such as Terraform, or CloudFormation.

Role Expectations: As a Senior MLOps Engineer, you will be responsible for a wide range of engagements, listed below: Can guide the team to build a scalable MLOps platform and work with business architects to implement and expand the MLOps setup. Has worked on deploying ML models to production and has experience with model monitoring, inferencing, drift concepts, feature stores, etc. Has a good understanding of how ML algorithms work and how to debug issues in the code. Has deployed applications using containers and container orchestration Manages conversations with client stakeholders to understand requirements and translate them into technical outcomes. Responsible for bridging the gap between machine learning and software engineering, focusing on deployment, scaling, and management of ML models in production environments. A developer focused on streamlining the process of developing, deploying, and maintaining ML systems to ensure they are efficient, scalable, and reliable. Has a strong conceptual understanding of the ML lifecycle and various ML algorithms. Has worked on at least one cloud platform and its ML-as-a-Service offerings. Qualifications: Technical: Strong understanding of DevOps practices and skilled in developing end-to-end CI/CD pipelines • Execution knowledge of data modeling, databases (SQL and NoSQL), software development lifecycle practices, unit testing, functional programming, etc. Experience with one or more ML-as-a-Service platforms, such as Azure DevOps, Dataiku, or equivalent open-source tools Proficient in at least one programming language used in data engineering, such as Python Strong knowledge of Snowflake Experience working on at least one cloud platform Non-Technical: Good business Logical thinking and problem-solving Ability to collaborate effectively Capable of analysing problems and developing actionable, tactical plans quickly Good managerial skills and team leadership capabilities Strong verbal and written communication skills Good stakeholder management skills Exercises independent judgment within defined practices and procedures Demonstrated ability to mentor juniors

About Aeris:. The Internet of Things (IoT) will unlock trillions of dollars in value over the next 10 years as 50 billion devices are brought online. Aeris is at the forefront of this industry, building networks and applications to enable Fortune 500 clients like Chrysler, Honda and Bosch fundamentally improve their businesses. Headquartered in Silicon Valley with offices in Bucharest, Chicago, London, Delhi, Bangalore, Helsinki, and Tokyo as well as other markets. We rank among the top ten cellular providers for the IoT globally, powering critical projects across energy, transportation, retail, healthcare and more.. Built from the ground up for IoT and road-tested at scale, Aeris IoT Services are based on the broadest technology stack in the industry, spanning connectivity up to vertical solutions. As veterans of the industry, we know that implementing an IoT solution can be complex, and we pride ourselves on making it simpler. Our company is in an enviable spot. We’re profitable, and both our bottom line and our global reach are growing rapidly. We’re playing in an exploding market where technology evolves daily and new IoT solutions and platforms are being created at a fast-pace.. A few things to know about us:. We put our customers first. When making decisions, we always seek to do what is right for our customer first, our company second, our teams third, and individual selves last.. We do things differently. As a pioneer in a highly-competitive industry that is poised to reshape every sector of the global economy, we cannot fall back on old models. Rather, we must chart our own path and strive to out-innovate, out-learn, out-maneuver and out-pace the competition on the way.. We walk the walk on diversity. We’re a brilliant and eclectic mix of ethnicities, religions, industry experiences, sexual orientations, generations and more – and that’s by design. We see diverse perspectives as a core competitive advantage.. Integrity is essential. We believe in doing things well – and doing them right. Integrity is a core value here: you’ll see it embodied in our staff, our management approach and growing social impact work (we have a VP devoted to it). You’ll also see it embodied in the way we manage people and our HR issues: we expect employees and managers to deal with issues directly, immediately and with the utmost respect for each other and for the Company.. We are owners. Strong managers enable and empower their teams to figure out how to solve problems. You will be no exception, and will have the ownership, accountability and autonomy needed to be truly creative.. Aeris is looking for experienced and highly motivated CloudOps Engineer to join our team. The ideal candidate will have extensive knowledge and hands-on experience with Cloud Platform (GCP/AWS/Azure) and cloud operations. As a CloudOps Engineer, you will be responsible for managing, optimizing, and ensuring the reliability of our cloud infrastructure. You will work closely with development, operations, and DevOps teams to implement best practices and improve system performance and availability.. Key Responsibilities. Cloud Infrastructure Management. Access Control: Implementing Cloud IAM, service accounts, and roles with the principle of least privilege.. Resource Management: Effectively managing projects, quotas, and policies.. Cloud Costs Management: Setting budget alerts and conducting cost analysis and reporting.. Periodic Audit: Performing regular audits to ensure compliance and optimize performance.. Security and Compliance. Security Strategy: Implementing and monitoring a comprehensive security strategy.. Alert and Threat Management: Overseeing Cloud Security Tools and managing the Threat Detection Dashboard.. Risk Assessment: Conducting threat models and risk assessments for cloud environments.. Security Testing: Supporting security testing, including penetration testing and code analysis, and implementing corrective measures.. Impact Analysis: Evaluating business impacts from security threats and vulnerabilities, communicating risks, and collaborating on security initiatives.. Cloud Operations. Automation and Scripting: Developing and maintaining automation scripts using tools like Terraform, Ansible, and custom scripts for provisioning and managing Cloud resources; implementing Infrastructure as Code (IaC) to automate deployment and configuration processes.. Monitoring and Logging: Setting up and configuring tools such as Cloud Native Monitoring Tools, Prometheus, and Grafana for monitoring, logging, and alerting; creating dashboards and reports to analyze system performance and resource utilization.. Incident Management and Troubleshooting: Responding to and resolving cloud infrastructure incidents; conducting root cause analysis and implementing corrective measures to prevent future incidents.. Collaboration and Support: Working closely with development, operations, and DevOps/SRE teams to provide cloud support and guidance; participating in on-call rotations for 24/7 critical infrastructure support.. Documentation and Training: Creating and maintaining comprehensive documentation for cloud infrastructure, processes, and procedures; providing training to team members on Cloud best practices and service usage.. Additionally, it emphasizes understanding:. Networking Principles and Protocols: Including IP subnetting, routing, firewall rules, and various cloud services such as virtual private cloud, load balancers, cloud DNS, and cloud CDN.. Knowledge Expansion: Continuously updating knowledge on cloud PaaS components.. Proof of Concepts: Delivering demonstrations for new cloud solutions.. Hybrid Cloud: Managing integration across multiple platforms like GCP, on-premises systems, AWS, and Azure.. Required Skills and Qualifications. Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.. Experience:. Minimum of 10+ years of experience in IT infrastructure, with at least 5+ years in a CloudOps role.. Proven experience with Cloud (GCP/AWS/Azure) in a production environment.. Strong background in cloud operations, infrastructure management, and automation.. Technical Skills:. Proficiency in GCP/AWS/Azure services such as Compute Engine, Cloud Storage, VPC, Cloud Functions, Cloud Pub/Sub, and BigQuery.. Experience with automation and configuration management tools such as Terraform, Ansible, and Jenkins.. Strong scripting skills in languages such as Python, Bash, or Go.. Experience with monitoring and logging tools such as Stackdriver, Prometheus, Grafana, and ELK stack.. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).. Soft Skills:. Strong problem-solving and troubleshooting abilities.. Excellent communication and collaboration skills.. Ability to work independently and in a team-oriented environment.. Preferred Qualifications. Google Cloud Professional certifications (e.g., Google Cloud Professional Cloud Architect, Google Cloud Professional DevOps Engineer).. Experience with DevOps practices and CI/CD pipelines.. Knowledge of security best practices and compliance standards.. Familiarity with other cloud platforms such as AWS or Azure.. What is in it for you?. You get to build the next leading edge connected vehicle platform and internet of things platform. The ability to collaborate with our highly skilled groups who work with cutting edge technologies. High visibility as you support the systems that drive our public facing services. Career growth opportunities. Aeris walks the walk on diversity. We’re a brilliant mix of varying ethnicities, religions, cultures, sexual orientations, gender identities, ages and professional/personal/military experiences – and that’s by design. Diverse perspectives are essential to our culture, innovative process and competitive edge. Aeris is proud to be an equal opportunity employer.. Show more Show less

Master'sRole & responsibilities Lead full-stack development for business-critical applications from design to deployment. Architect scalable and secure microservices-based backend solutions using Spring Boot and Hibernate. Develop responsive and interactive Angular applications, integrating with RESTful APIs. Implement event-driven architecture using Kafka and RabbitMQ for asynchronous communication. Model and optimize relational and NoSQL database schemas for performance and scalability. Drive agile processes including sprint planning, code reviews, and release cycles. Mentor junior developers and foster strong engineering practices across the team. Collaborate with DevOps, QA, and product teams to ensure seamless integration and deployment. Preferred candidate profile Bachelor's or Masters degree in Computer Science, Information Technology, or a related field. Strong proficiency in Core Java, Spring Boot, Hibernate, and REST API development. Solid experience in Angular (v8+), TypeScript, HTML5/CSS3, and modern frontend design. Experience working with Kafka, RabbitMQ, or similar messaging systems. Hands-on expertise in data modeling, SQL, and exposure to NoSQL databases. Exposure to CI/CD pipelines, Git, Docker, and unit testing frameworks. Familiarity with cloud platforms such as AWS, Azure, or GCP is an added advantage. Knowledge of Micro Frontends, API Gateway, and OAuth2 security. Familiarity with container orchestration (Kubernetes).

Seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. Requires strong skills in SQL, Python, ETL, and cloud platforms (AWS/GCP/Azure). Experience with big data tools like Spark and Kafka preferred.

Dear Candidate, We are hiring a Cloud Data Scientist to build and scale data science solutions in cloud-native environments. Ideal for candidates who specialize in analytics and machine learning using cloud ecosystems. Key Responsibilities: Design predictive and prescriptive models using cloud ML tools Use BigQuery, SageMaker, or Azure ML Studio for scalable experimentation Collaborate on data sourcing, transformation, and governance in the cloud Visualize insights and present findings to stakeholders Required Skills & Qualifications: Strong Python/R skills and experience with cloud ML stacks (AWS, GCP, or Azure) Familiarity with cloud-native data warehousing and storage (Redshift, BigQuery, Data Lake) Hands-on with model deployment, CI/CD, and A/B testing in the cloud Bonus: Background in NLP, time series, or geospatial analysis Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Preferred candidate profile Strong knowledge of JavaScript/TypeScript , React.js/Angular Proficiency in Node.js / .NET / Python for backend development. Experience with SQL databases like PostgreSQL, MSSQL, MySQL . Experience with NoSQL databases like MongoDB will be an added advantage. Understanding of Git , Docker , and cloud platforms (AWS/Azure). Knowledge of Agile/Scrum methodologies. Perks Referral bonus. Performance Bonus (on top of CTC) Gratuity (on top of CTC) 5 Days working. No sandwich leave policy / No Bond Leave Encashment /Paid Parental leave. Employee-oriented HR policy. Equal Employment Opportunity Policy.

We are seeking a skilled Cloud Infrastructure Architect with a strong focus on cloud operations and security In this role, you will design, implement, and optimize cloud infrastructure solutions while ensuring operational excellence and robust security practices The ideal candidate will have deep expertise in cloud operations, security best practices, and cloud-native architectures (e-g , OCI, AWS, Azure, Google Cloud) You will lead the development of secure, scalable, and efficient cloud infrastructure, enabling business continuity, data protection, and optimized cloud performance, Job description displayed in the job posting Key Responsibilities :Develop and implement domain-specific services strategies and technology roadmaps that align with organizational goals and drive services growth Being recognized as a subject matter expert for your domai nPlan, design and help customers migrate their on premises workloads to the Oracle Cloud Infrastructure (OCI) Experience architecting, building, and maintaining applications on cloud platforms preferably in Oracle clou dLead and manage domain-related projects from inception to completion, ensuring timely delivery, adherence to quality standards, and alignment with architectural principles and service offerings Conduct workshops to facilitate knowledge sharing, gather requirements, and drive collaboration among cross-functional teams and stakeholders Collaborate with IT and business stakeholders to identify needs, opportunities, and market trends that enhance business development efforts to grow the services business Design and maintain scalable architecture solutions that support both current and future business objectives across our services portfolio Mentor and guide team members, fostering a culture of growth and development while ensuring knowledge transfer in architectural practices Stay abreast of industry trends, emerging technologies, and architectural best practices to drive innovation and competitive advantage within the domain Specific Skills :Cloud Infrastructure Design & Optimization :Architect secure, scalable, and highly available cloud infrastructures across public cloud platforms (e-g , OCI, AWS, Azure, Google Cloud), focusing on ensuring operational efficiency, performance, and security at every level Cloud Security Architecture :Design and implement cloud security frameworks, ensuring compliance with industry standards and best practices This includes identity and access management (IAM), encryption, key management, and network security configurations for cloud resources Cloud Operations Management :Oversee the day-to-day operations of cloud environments, ensuring smooth deployment, monitoring, and optimization of cloud services Implement and maintain cloud monitoring, alerting, and incident response protocols to detect and address issues proactively Infrastructure as Code (IaC) & Automation :Lead the automation of cloud infrastructure provisioning, configuration, and management using Infrastructure as Code (IaC) tools like Terraform, AWS CloudFormation, or Ansible Promote repeatable, scalable, and secure cloud deployments Cloud Security & Compliance :Develop and enforce security policies and guidelines across cloud infrastructure Ensure cloud environments are compliant with relevant regulatory frameworks (e-g , GDPR, HIPAA, SOC 2) and conduct regular audits to ensure data protection and privacy Access Control & Identity Management :Implement and manage cloud-based identity and access management systems (e-g , AWS IAM, Azure Active Directory) to control user access to cloud resources, following least-privilege principles and zero-trust security models Cloud Cost Optimization & Efficiency :Drive cost-effective cloud operations by recommending resource allocation strategies, implementing autoscaling, and monitoring cloud usage Propose cloud-native solutions that balance performance with cost-efficiency Incident Response & Disaster Recovery :Design and implement disaster recovery strategies and ensure business continuity across cloud environments Lead incident response efforts and post-mortem analyses, ensuring security incidents are quickly mitigated Collaboration & Stakeholder Engagement :Work closely with DevOps, security teams, and business stakeholders to ensure the cloud infrastructure aligns with business needs and security standards Advise on best practices and strategies for cloud operations and security Cloud Monitoring & Logging :Architect and implement monitoring, logging, and alerting systems (e-g , AWS CloudWatch, Azure Monitor, Stackdriver) to ensure the health and security of cloud systems, enabling rapid response to operational issues and security threats Security Audits & Penetration Testing :Lead regular security audits, vulnerability assessments, and penetration testing efforts to identify and mitigate risks in the cloud infrastructure Collaborate with security teams to implement corrective measures Qualification s:Bachelors degree in Information Technology, Computer Science or a related fiel Minimum 10 years of enterprise and solution architecture experience (Implementation /Consulting/Operation) required Certification in cloud technologies will be an advantag Proven experience in architecting cloud infrastructure with a focus on security, cost optimization, and performance (e Strong experience in cloud security best practices, including identity and access management, encryption, and complianc Expertise in automating cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansibl Hands-on experience with cloud operations, including monitoring, alerting, incident response, and optimizatio Proven experience in a leadership role within the technology domain with a focus on business development, architecture, services and consumption growt Excellent communication and interpersonal skills, with a track record of successful stakeholder engagemen Ability to analyze complex problems, develop effective solutions, and architect scalable system Technical ski llsDeep knowledge of cloud platform security features, such as AWS IAM, Azure Active Directory, security groups, and encryption servic Proficiency in implementing cloud security frameworks and managing compliance requirements (e Expertise with cloud monitoring and logging tools (e Strong experience with cloud cost management and optimization strategi Familiarity with containerization and orchestration tools (e Knowledge of cloud security services (e Desira bleAbility to multi-task and work with virtual teams across different engagemen Tenacious with a passion for learning new and unfamiliar concep Flexible to travel when requir Relevant local language skil

Hiring for Java Full Stack +Angular: Location : Bangalore Required Skills: Java, Spring Boot, Microservices, Angular, RESTful APIs, SQL,Git, problem-solving,analytical skills, agile methodologies, cloud platforms, NoSQL,debugging HR Nikita 8879637539

About the role: Wells Fargo is seeking a Senior Software Engineer. We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow. In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Job Expectations: Hands on experience in architecture and best practices. Able to articulate underlying business problems and propose technical solutions. Solid working experience in Java and J2EE development Skills Hands on experience in Micro-services Architecture Solid understanding of collections framework Good working experience in developing REST API with JSON communication Object oriented and service oriented design concepts including knowledge of data transfer objects and association patterns Good amount of working experience in Angular /React and CSS\SCSS Hands on experience in unit testing and continuous integration environment Excellent communication skills with the ability to solicit & formalize requirements and work with the business partners\users Experience with the agile development and DevOps tools Should have experience in application monitoring tool like JMeter, JProfiler or any equivalent Should have experience in Cloud Platform (OCP or equivalent)

Dear Candidate, We are hiring a Cloud Migration Consultant to guide enterprises through complex cloud adoption and migration projects. Ideal for professionals with both technical expertise and consulting experience. Key Responsibilities: Assess legacy systems and define cloud migration strategies Design migration architectures for infrastructure, applications, and data Manage cutover plans, performance testing, and validation Support post-migration optimization and training Required Skills & Qualifications: In-depth knowledge of cloud platforms (AWS, Azure, or GCP) Experience with migration tools (CloudEndure, Azure Migrate, Velostrata) Familiarity with hybrid environments, VMs, and database migrations Bonus: Cloud certification and consulting experience with enterprise clients Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies