1171 Cloud Platform Jobs - Page 43

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Cloud Technology Architecture Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. Your role involves deploying infrastructure and platform environments, creating proof of architecture to test architecture viability, security, and performance. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of cloud-based solutions.- Develop and maintain cloud architecture strategies.- Ensure compliance with security and performance standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Technology Architecture.- Strong understanding of cloud infrastructure.- Experience in deploying cloud solutions at scale.- Knowledge of cloud security best practices.- Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud. Additional Information:- The candidate should have a minimum of 5 years of experience in Cloud Technology Architecture.- This position is based at our Gurugram office.- 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 : Google Cloud Machine Learning ServicesMinimum 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:I.Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.II.Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.III.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, AvayaIV.Integrate with IVR systems and Proficiency in webhook setup and API integration.V.Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.VI.Creation of agents in Agent builder and integrating them into end end to pipeline using python.VII.Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.VIII.Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilitiesIX.Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.X.Document technical designs, processes, and setup for various integrations.XI.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:I.The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.II.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. Qualification 15 years full time education

Job Description: We are seeking a skilled Data Engineer with expertise in Google Cloud Platform (GCP) to join our team. The ideal candidate will have experience with various GCP services and a strong background in data engineering. Key Responsibilities: Ulize GCP Big Query, GCP Cloud Storage, Dataflow, Data Proc, and Data Mesh for data processing and analysis. Develop and opmize data products, enterprise data warehouses (EDW), and data models. Design and implement scalable data architectures and data warehouses. Collaborate with cross-funconal teams to understand business requirements and translate them into technical specificaons. Required Skills: Proficiency in GCP services including Big Query, Cloud Storage, Dataflow, Data Proc, and Data Mesh. Strong experience in data architecture, data modeling, and data warehousing. Ability to develop and manage data products and EDW

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 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 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-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 : Google Cloud Machine Learning ServicesMinimum 12 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:I.Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.II.Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.III.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, AvayaIV.Integrate with IVR systems and Proficiency in webhook setup and API integration.V.Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.VI.Creation of agents in Agent builder and integrating them into end end to pipeline using python.VII.Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.VIII.Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilitiesIX.Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.X.Document technical designs, processes, and setup for various integrations.XI.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:1 The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.2 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. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Oracle Integration Cloud Service (ICS) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements in Kolkata. You will play a crucial role in developing solutions to enhance business operations and meet client needs. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead and mentor junior professionals- Conduct regular knowledge sharing sessions- Stay updated on industry trends and best practices Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Integration Cloud Service (ICS)- Strong understanding of cloud integration technologies- Experience in developing and implementing integration solutions- Knowledge of RESTful APIs and web services- Hands-on experience with Oracle Cloud Platform services Additional Information:- The candidate should have a minimum of 5 years of experience in Oracle Integration Cloud Service (ICS)- This position is based at our Kolkata office- A 15 years full-time education is required Qualification 15 years full time education

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact! IBM’s Cloud Services are focused on supporting clients on their cloud journey across any platform to achieve their business goals. It encompasses Cloud Advisory, Architecture, Cloud Native Development, Application Portfolio Migration, Modernization, and Rationalization as well as Cloud Operations. Cloud Services supports all public/private/hybrid Cloud deployments: IBM Bluemix/IBM Cloud/Red Hat/AWS/ Azure/Google and client private environments. Cloud Services has the best Cloud developer architect Complex SI, Sys Ops and delivery talent delivered through our GEO CIC Factory model. As a member of our Cloud Practice you will be responsible for defining and implementing application cloud migration, modernisation and rationalisation solutions for clients across all sectors. You will support mobilisation and help to lead the quality of our programmes and services, liaise with clients and provide consulting services including: Create cloud migration strategies; defining delivery architecture, creating the migration plans, designing the orchestration plans and more. Assist in creating and executing of migration run books Evaluate source cloud (Physical Virtual and Cloud) and target Workloads Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise GCP using pub sub, big query, dataflow, cloud workflow/cloud scheduler, cloud run, data proc, Cloud Function Cloud data engineers with GCP PDE certification and working experience with GCP. Building end to end data pipelines in GCP using pub sub, big query, dataflow, cloud workflow/cloud scheduler, cloud run, data proc, Cloud Function Experience in logging and monitoring of GCP services and Experience in Terraform and infrastructure automation. Expertise in Python coding language Develops data engineering solutions on Google Cloud ecosystem and supports and maintains data engineering solutions on Google Cloud ecosystem Preferred technical and professional experience Stay updated with the latest trends and advancements in cloud technologies, frameworks, and tools. Conduct code reviews and provide constructive feedback to maintain code quality and ensure adherence to best practices. Troubleshoot and debug issues and deploy applications to the cloud platform

As a Cloud & DevOps Engineer, you will be responsible for implementing and managing AWS infrastructure for applications using AWS CDK and building GitHub Actions pipelines to deploy containerized applications on ECS/EKS. Must-to-Have: Hands-on experience with AWS CDK for provisioning infrastructure Solid understanding of key AWS services: ECS (Fargate), API Gateway, ALB/NLB, IAM, S3, KMS, Security Groups Strong experience with Cloud Platform engineering & DevOps Proficiency in building GitHub Actions workflows for build, containerization, and deployment Strong knowledge of Docker, container lifecycle, and CI/CD practices Understanding of basic networking (VPC, subnets, SGs) Good understanding of OAuth implementation Familiarity with artifact and image management (ECR, GitHub Packages) Comfortable working in Agile or DevOps-centric environments Good-to-Have: Experience with CDK Pipelines and multi-stage deployments Exposure to GitHub Actions secrets, OIDC-based role assumption Scripting skills in Python, Bash, or Shell for automation tasks Familiarity with AWS CodeBuild or CodePipeline as alternatives Knowledge of Container orchestration in AWS, ECS and EKS for future migration planning Understanding of compliance/security frameworks and audit requirements Mandatory Competencies DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Docker Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate Cloud - AWS - AWS S3, S3 glacier, AWS EBS Development Tools and Management - Development Tools and Management - CI/CD DevOps/Configuration Mgmt - Cloud Platforms - AWS DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket

Role : Senior .NET Developer with Angular.JS Experience : 7+ years Location : PAN INDIA 7+ years developing in C# .Net/.Net Core 4+ years of experience with Angular and SQL 3+ years of experience with Object Oriented Programming and SOLID Principles 3+ years of Rest API development 2+ years of experience working with Databases and writing stored procedures 2+ year of unit and service testing with frameworks such as xunit, Nunit, etc. 1+ year of cloud platform experience either in AWS, Azure, or GCP

As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. Your primary responsibilities includeComprehensive Feature Development and Issue ResolutionWorking on the end to end feature development and solving challenges faced in the implementation. Stakeholder Collaboration and Issue ResolutionCollaborate with key stakeholders, internal and external, to understand the problems, issues with the product and features and solve the issues as per SLAs defined. Continuous Learning and Technology IntegrationBeing eager to learn new technologies and implementing the same in feature development. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise GCP using pub sub, big query, dataflow, cloud workflow/cloud scheduler, cloud run, data proc, Cloud Function Cloud data engineers with GCP PDE certification and working experience with GCP. Building end to end data pipelines in GCP using pub sub, big query, dataflow, cloud workflow/cloud scheduler, cloud run, data proc, Cloud Function Experience in logging and monitoring of GCP services and Experience in Terraform and infrastructure automation. Expertise in Python coding language Develops data engineering solutions on Google Cloud ecosystem and supports and maintains data engineering solutions on Google Cloud ecosystem Preferred technical and professional experience Stay updated with the latest trends and advancements in cloud technologies, frameworks, and tools. Conduct code reviews and provide constructive feedback to maintain code quality and ensure adherence to best practices. Troubleshoot and debug issues and deploy applications to the cloud platform

Cloud Platform ExpertiseDevelop and maintain key cloud platform services, ensuring they align with business and technical requirements. Efficient Code DevelopmentImplement modern tools and techniques to create clean, efficient, and reusable code. Performance OptimizationIdentify and address design, development, and delivery performance bottlenecks to enhance overall system efficiency. Unit Testing and AutomationDefine, implement, and execute unit tests, including automation, to ensure the reliability and robustness of the developed software. Progress ReportingRegularly report progress to stakeholders, keeping them informed about development milestones and potential challenges. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Software Development architecture & design 2-4 years in Go or Python development 2-4 years CI/CD Automation tooling, such as Jenkins, Travis, Ansible, Tekton etc. 2-4 years Agile development methods Preferred technical and professional experience IaaS, PaaS and Containerizatione.g. Kubernetes, OpenShift Cloud native development Knowledge of Observability Solutions and tools

Design, development and deployment of hybrid, multi cloud and cloud native architectures and solutions for payments transformation initiatives that support the business requirements of the client. Solution responsibility can include but not limited to, infrastructure strategy and design, systems strategy and design, communications strategy and design, and data center strategy and design. Lead, create Application Architecture, High-Level and Low-Level design deliverables with client architects. Bring expertise in hybrid cloud platform security governance and compliance. Proven understanding of hybrid cloud platform (including OpenShift, IBM Cloud, AWS, Azure) and key cloud services consumption models and be able to construct cost effective solutions for our clients. Best practices in this role use reference architectures and service product assets to develop conceptual and detailed designs. Architects are responsible for performance, availability and scalability of the solution and the impact on the client's infrastructure. Support sales opportunities Collaborate with other teams and team members to develop automation strategies and deployment processes Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Required Technical and Professional Expertise 6+ years of experience in design and delivery of complex and large-scale IT projects Expertise in the Payments Industry and the design, delivery of payments systems (ACH, Wires, Real Time, Interac, Cheques, Card Payments etc.). Candidates with strong experience in Banking and Financial services will also be considered. 3+ years of experience as an application architect or technical lead providing hands on technical leadership for the end to end design, delivery and management of hybrid cloud solutions (AWS, Azure, IBM, GCP) Cloud solution architect certification in one of major cloud providers (IBM Cloud, AWS, Azure, GCP) Experience in design and delivery of cloud native solutions with Microservices, containers & orchestration (Docker, Kubernetes, etc.) Proven experience in design and delivery of cloud native solutions with with Micro services, containers and orchestration (Docker, Kubernetes, OpenShift) Experience in REST API Interface design, API Gateways, Swagger/OpenAPI standard, OAuth Experience leading projects delivered through a globally integrated capability of onsite, nearshore, and offshore teams Experience with Agile methods & DevOps Experience in design and delivery of scalable, fault tolerant and resilient systems Familiar with data center concepts and best practices, high - availability systems, capacity planning, system performance evaluation, and diagnostic techniques and methodologies. Preferred technical and professional experience Understanding of Red Hat ecosystem (OpenShift, Ansible, RH Fuse, RH SSO, etc.) Familiar with infrastructure as code and DevOps automations Familiar with IT Operations and Site Reliability Engineering (SRE) practice

We are currently seeking experienced Architect for our IBM Payments Centre. We wish to add talent to help drive our market growth and shape new solutions which deliver Payments modernization and transformation for our clients. We advise clients on addressing Payments industry regulatory requirements, develop strategy and implementation of innovative technologies and adopting cognitive and cloud-based Payments processing Platform solutions that enable our clients to optimize their costs and enable value added overlay services for their businesses. The IBM Payments Centre team assumes the transformation of all or part of our clients’ Payments operations portfolio and portions of infrastructure to the cloud in support of their digital transformation journey. IBM applies its deep business and technology skills, leading innovation and world-class business processes to help clients maximize benefit from leveraging Cognitive and Cloud capabilities. Scope: Basic responsibilities of the candidate typically leading the architecture, technical delivery of payments modernization and transformation initiatives delivered by the IBM Payments Center. The Architect uses their experience leading the design, sales, and implementation of modern Payments Platform solutions in hybrid, multi cloud deployment contexts. The Architect is experienced in the Payments domain specifically Real Time Payments, Interac, AFT etc. and has a deep understanding of the current Payments Modernization initiatives and trends in the Canada, US and globally. They must develop strong and trusted relationships with other areas of IBM and team members to achieve quick responses to client demands. This position requires the skills needed to win client trust and confidence leading to the successful delivery of client engagements. The Architect is expected to participate in ongoing billable client activities where follow-on efforts are visualized, participate in the resolution of critical situations, participate in related Sector, Solution Area, or Community activities. The Architect is expected to support new business opportunities, lead the development of solutions supporting that opportunity, and to win that business for IBM supporting and reinforcing business objectives within their area of practice. Core Responsibilities: Design, development and deployment of hybrid, multi cloud and cloud native architectures and solutions for payments transformation initiatives that support the business requirements of the client. Solution responsibility can include but not limited to, infrastructure strategy and design, systems strategy and design, communications strategy and design, and data center strategy and design. Lead, create Solution Architecture, High-Level and Low-Level design deliverables with client architects. Bring expertise in hybrid cloud platform security governance and compliance. Proven understanding of hybrid cloud platform (including OpenShift, IBM Cloud, AWS, Azure) and key cloud services consumption models and be able to construct cost effective solutions for our clients. Design the HA / DR strategies for the hybrid cloud solution. Best practices in this role use reference architectures and service product assets to develop conceptual and detailed designs. Architects are responsible for performance, availability and scalability of the solution and the impact on the client's infrastructure. Support sales opportunities Lead, perform and mentor on consulting engagement pursuits. This includes participating in client opportunity identification and qualification calls, understanding client needs and objectives, articulating and formulating solutions design for proposals and statements of work that align to the client needs while managing delivery risk and working with the sales team through deal progression and signing; Engagement oversight. This includes following the Delivery Roadmap to successful project execution. This includes staffing consulting project teams, assisting project leadership (i.e., project manager or engagement leader) in defining or modifying project approach and structure as necessary, deliverables review and participation in key project events as appropriate to help ensure Collaborate with other teams and team members to develop automation strategies and deployment processes Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Required Technical and Professional Expertise 10+ years of experience in design and delivery of complex and large-scale IT projects Expertise in the Payments Industry and the design, delivery of payments systems (ACH, Wires, Real Time, Interac, Cheques, Card Payments etc.). Candidates with strong experience in Banking and Financial services will also be considered. 3+ years of experience as a solution architect providing hands on technical leadership for the end to end design, delivery and management of hybrid cloud solutions (AWS, Azure, IBM, GCP) Cloud solution architect certification in one of major cloud providers (IBM Cloud, AWS, Azure, GCP) Experience in design and delivery of cloud native solutions with Microservices, containers & orchestration (Docker, Kubernetes, etc.) Proven experience in design and delivery of cloud native solutions with with Micro services, containers and orchestration (Docker, Kubernetes, OpenShift) Experience in REST API Interface design, API Gateways, Swagger/OpenAPI standard, OAuth Experience leading projects delivered through a globally integrated capability of onsite, nearshore, and offshore teams Experience with Agile methods & DevOps Experience in design and delivery of scalable, fault tolerant and resilient systems Familiar with data center concepts and best practices, high - availability systems, capacity planning, system performance evaluation, and diagnostic techniques and methodologies. Preferred technical and professional experience Understanding of Red Hat ecosystem (OpenShift, Ansible, RH Fuse, RH SSO, etc.) Expertise in solution infrastructure as code and DevOps automations Expertise in Datacenter moves to Cloud Familiar with IT Operations and Site Reliability Engineering (SRE) practice

- Apptad is looking for a DevOps Engineer. It is a full-time/long-term job opportunity with us. Strong knowledge of Linux/Unix-based systems and shell scripting Proficiency in at least one cloud platform (AWS preferred) Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.) Hands-on with Infrastructure as Code (Terraform, CloudFormation) Proficiency with Docker and orchestration tools (Kubernetes, ECS, etc.) Experience with monitoring/logging tools (Datadog, Prometheus, ELK, etc.) Familiarity with version control systems (Git) Knowledge of networking, DNS, load balancing, and firewalls

- Apptad is looking for a DevOps Engineer. It is a full-time/long-term job opportunity with us. Strong knowledge of Linux/Unix-based systems and shell scripting Proficiency in at least one cloud platform (AWS preferred) Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.) Hands-on with Infrastructure as Code (Terraform, CloudFormation) Proficiency with Docker and orchestration tools (Kubernetes, ECS, etc.) Experience with monitoring/logging tools (Datadog, Prometheus, ELK, etc.) Familiarity with version control systems (Git) Knowledge of networking, DNS, load balancing, and firewalls

Job Type:- Contractual Duration: 6 months Job Description: - Apptad is looking for a DevOps Engineer. It is a full-time/long-term job opportunity with us. Strong knowledge of Linux/Unix-based systems and shell scripting Proficiency in at least one cloud platform (AWS preferred) Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.) Hands-on with Infrastructure as Code (Terraform, CloudFormation) Proficiency with Docker and orchestration tools (Kubernetes, ECS, etc.) Experience with monitoring/logging tools (Datadog, Prometheus, ELK, etc.) Familiarity with version control systems (Git) Knowledge of networking, DNS, load balancing, and firewalls

Job Type:- Contractual Duration: 6 months Job Description: - Apptad is looking for a DevOps Engineer. It is a full-time/long-term job opportunity with us. Strong knowledge of Linux/Unix-based systems and shell scripting Proficiency in at least one cloud platform (AWS preferred) Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.) Hands-on with Infrastructure as Code (Terraform, CloudFormation) Proficiency with Docker and orchestration tools (Kubernetes, ECS, etc.) Experience with monitoring/logging tools (Datadog, Prometheus, ELK, etc.) Familiarity with version control systems (Git) Knowledge of networking, DNS, load balancing, and firewalls

Job Type:- Contractual Duration: 6 months Job Description: - Apptad is looking for a DevOps Engineer. It is a full-time/long-term job opportunity with us. Strong knowledge of Linux/Unix-based systems and shell scripting Proficiency in at least one cloud platform (AWS preferred) Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.) Hands-on with Infrastructure as Code (Terraform, CloudFormation) Proficiency with Docker and orchestration tools (Kubernetes, ECS, etc.) Experience with monitoring/logging tools (Datadog, Prometheus, ELK, etc.) Familiarity with version control systems (Git) Knowledge of networking, DNS, load balancing, and firewalls

Java Fullstack Developer - Lower Parel Java, Angular 10+ Versions, Rest API, Spring boot 6+ years Work From Office, Immediate to serving only L1 round Virtual and L2 round F2F

Exp 8 Years + Skill Data Solutions Architect Google Cloud Platform to Architect and design end-to-end data solutions leveraging awide array of GCP services including BigQuery, Dataflow, Dataproc, Pub/Sub Cloud Storage Cloud Composer and Data Catalog

Project Role :Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : AWS Mainframe Modernization Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will engage in the design, construction, testing, and deployment of cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructures. Your typical day will involve collaborating with cross-functional teams to ensure that the architecture is viable, secure, and performs optimally, while also creating proofs of concept to validate your designs and solutions. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development of best practices for cloud application deployment and integration.- Support the team in troubleshooting and resolving technical issues related to cloud infrastructure. Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Mainframe Modernization.- Good To Have Skills: Experience with cloud security best practices.- Familiarity with containerization technologies such as Docker and Kubernetes.- Understanding of DevOps practices and CI/CD pipelines.- Experience with infrastructure as code tools like Terraform or CloudFormation. Additional Information:- The candidate should have minimum 3 years of experience in AWS Mainframe Modernization.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Solution Architects assess a projects technical feasibility, as well as implementation risks. They are responsible for the design and implementation of the overall technical and solution architecture. They define the structure of a system, its interfaces, the solution principles guiding the organisation, the software design and the implementation. The scope of the Solution Architects role is defined by the business issue at hand. To fulfil the role, a Solution Architect utilises business and technology expertise and experience. About The Role - Grade Specific Managing Solution/Delivery Architect - Design, deliver and manage complete solutions. Demonstrate leadership of topics in the architect community and show a passion for technology and business acumen. Work as a stream lead at CIO/CTO level for an internal or external client. Lead Capgemini operations relating to market development and/or service delivery excellence. Are seen as a role model in their (local) community. Certificationpreferably Capgemini Architects certification level 2 or above, relevant solution certifications, IAF and/or industry certifications such as TOGAF 9 or equivalent. Skills (competencies) (SDLC) Methodology Active Listening Adaptability Agile (Software Development Framework) Analytical Thinking APIs Automation (Frameworks) AWS (Cloud Platform) AWS Architecture Business Acumen Business Analysis C# Capgemini Integrated Architecture Framework (IAF) Cassandra (Relational Database) Change Management Cloud Architecture Coaching Collaboration Confluence Delegation DevOps Docker ETL Tools Executive Presence GitHub Google Cloud Platform (GCP) Google Cloud Platform (GCP) (Cloud Platform) IAF (Framework) Influencing Innovation Java (Programming Language) Jira Kubernetes Managing Difficult Conversations Microsoft Azure DevOps Negotiation Network Architecture Oracle (Relational Database) Problem Solving Project Governance Python Relationship-Building Risk Assessment Risk Management SAFe Salesforce (Integration) SAP (Integration) SharePoint Slack SQL Server (Relational Database) Stakeholder Management StorageArchitecture Storytelling Strategic Thinking Sustainability Awareness Teamwork Technical Governance Time Management TOGAF (Framework) Verbal Communication Written Communication

Project Role :Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : AWS Mainframe Modernization Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructure. Your typical day will involve collaborating with various teams to ensure the architecture's viability, security, and performance while creating proof of concepts to validate your designs. You will engage in hands-on development and troubleshooting, ensuring that the deployed solutions meet the required standards and specifications. Additionally, you will be involved in continuous improvement efforts, optimizing existing systems and processes to enhance efficiency and effectiveness in cloud operations. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate the performance of cloud applications to ensure optimal functionality. Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Mainframe Modernization.- Good To Have Skills: Experience with cloud migration strategies and tools.- Strong understanding of cloud architecture principles and best practices.- Familiarity with DevOps practices and CI/CD pipelines.- Experience in scripting languages such as Python or Bash for automation. Additional Information:- The candidate should have minimum 5 years of experience in AWS Mainframe Modernization.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with the overall business objectives and technical specifications. You will collaborate with various teams to ensure that the data architecture is robust, scalable, and efficient, while also addressing any challenges that arise during the development process. Your role will be pivotal in shaping the data landscape of the organization, enabling data-driven decision-making and fostering innovation through effective data management practices. Responsibilities:Develop high-quality, scalable ETL/ELT pipelines using Databricks technologies including Delta Lake, Auto Loader, and DLT.Excellent programming and debugging skills in Python.Strong hands-on experience with Py Spark to build efficient data transformation and validation logic.Must be proficient in at least one cloud platform:AWS, GCP, or Azure.Create modular DBX functions for transformation, PII masking, and validation logic reusable across DLT and notebook pipelines.Implement ingestion patterns using Auto Loader with checkpointing and schema evolution for structured and semi-structured data.Build secure and observable DLT pipelines with DLT Expectations, supporting Bronze/Silver/Gold medallion layering.Configure Unity Catalog:set up catalogs, schemas, user/group access, enable audit logging, and define masking for PII fields.Enable secure data access across domains and workspaces via Unity Catalog External Locations, Volumes, and lineage tracking.Access and utilize data assets from the Databricks Marketplace to support enrichment, model training, or benchmarking.Collaborate with data sharing stakeholders to implement Delta Sharing both internally and externally.Integrate Power BI/Tableau/Looker with Databricks using optimized connectors (ODBC/JDBC) and Unity Catalog security controls.Build stakeholder-facing SQL Dashboards within Databricks to monitor KPIs, data pipeline health, and operational SLAs.Prepare Gen AI-compatible datasets:manage vector embeddings, index with Databricks Vector Search, and use Feature Store with ML flow.Package and deploy pipelines using Databricks Asset Bundles through CI/CD pipelines in GitHub or GitLab.Troubleshoot, tune, and optimize jobs using Photon engine and serverless compute, ensuring cost efficiency and SLA reliability.Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing.Hands on Experience in applying Performance optimization techniquesUnderstanding data modeling and data warehousing principles is essential.Nice to Have:1.Certifications:Databricks Certified Professional or similar certifications.2.Machine Learning:Knowledge of machine learning concepts and experience with popular ML libraries.3.Knowledge of big data processing (e.g., Spark, Hadoop, Hive, Kafka)4.Data Orchestration:Apache Airflow.5.Knowledge of CI/CD pipelines and DevOps practices in a cloud environment.6.Experience with ETL tools like Informatica, Talend, Mati Llion, or Five Tran.7.Familiarity with DBT (Data Build Tool) Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office. Educational Qualification:- 15 years full time education is required. Qualification 15 years full time education

Project Role :Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : AWS Mainframe Modernization Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will engage in the design, construction, testing, and deployment of cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructures. Your typical day will involve collaborating with cross-functional teams to ensure that the architecture is viable, secure, and performs optimally, while also creating proofs of concept to validate your designs. You will be responsible for deploying infrastructure and platform environments, ensuring that all components work together effectively to meet the needs of the organization and its clients. Your role will require a proactive approach to problem-solving and a commitment to continuous improvement in cloud technologies. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with team members to design and implement cloud solutions that meet business requirements.- Conduct performance testing and security assessments to ensure the integrity of cloud applications.- Document architecture designs and deployment processes for future reference and knowledge sharing. Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Mainframe Modernization.- Strong understanding of cloud architecture principles and best practices.- Experience with infrastructure as code tools such as Terraform or CloudFormation.- Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes.- Knowledge of networking concepts and security protocols relevant to cloud environments. Additional Information:- The candidate should have minimum 3 years of experience in AWS Mainframe Modernization.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education