1170 Cloud Platform Jobs - Page 4

Educational Requirements Bachelor of Engineering,BTech,BCA,MSc,MTech,MCA Service Line Strategic Technology Group Responsibilities Infosys has designed the Power Programmers career track for polyglots who are passionate about programming and want to do more than programming as usual. We are looking for highly skilled Specialist Programmers with reliability engineering focus and Senior Technologists who are passionate about IT Resiliency. In this role, you will build and help create robust platforms, marketplaces, innovative solutions, contribute and develop open software and ensure mission critical systems deliver to their promises. You will collaborate with some of the best talent in the industry to create and implement innovative high quality software solutions. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Technical and Professional Requirements: Kubernetes, AWS/Azure, DevOps/DevSecOps, Monitoring Tools - App Dynamics/ Dynatrace/New Relic, Build and Release, Prometheus, Python, Node.JS Preferred Skills: Technology->Cloud Platform->Azure Devops Technology->Cloud Platform->Azure IOT->Azure Sphere

Educational Requirements Bachelor of Engineering,BSc,BCA,MCA,MSc,MTech Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Knowledge of more than one technology Basics of Architecture and Design fundamentals Knowledge of Testing tools Knowledge of agile methodologies Understanding of Project life cycle activities on development and maintenance projects Understanding of one or more Estimation methodologies, Knowledge of Quality processes Basics of business domain to understand the business requirements Analytical abilities, Strong Technical Skills, Good communication skills Good understanding of the technology and domain Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods Awareness of latest technologies and trends Excellent problem solving, analytical and debugging skills Technical and Professional Requirements: Primary skills:Technology->Cloud Platform->Amazon Webservices Architecture Preferred Skills: Technology->Cloud Platform->Amazon Webservices Architecture

Educational Requirements Bachelor of Engineering,BCA,BTech,MCA,MTech,MSc Service Line Cloud & Infrastructure Services Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to provide best fit architectural solutions for one or more projects. You would also provide technology consultation and assist in defining scope and sizing of work You would implement solutions, create technology differentiation and leverage partner technologies. Additionally, you would participate in competency development with the objective of ensuring the best-fit and high quality technical solutions. You would be a key contributor in creating thought leadership within the area of technology specialization and in compliance with guidelines, policies and norms of Infosys.If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Knowledge of architectural design patterns, performance tuning, database and functional designs Hands-on experience in Service Oriented Architecture Ability to lead solution development and delivery for the design solutions Experience in designing high level and low level documents is a plus Good understanding of SDLC is a pre-requisite Awareness of latest technologies and trends Logical thinking and problem solving skills along with an ability to collaborate Technical and Professional Requirements: Primary skills:Technology->Cloud Platform->Amazon Webservices Architecture Preferred Skills: Technology->Cloud Platform->Amazon Webservices Architecture

Educational Requirements Bachelor of Engineering,BSc,BCA,MCA,MSc,MTech Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Knowledge of design principles and fundamentals of architecture Understanding of performance engineering Knowledge of quality processes and estimation techniques Basic understanding of project domain Ability to translate functional / nonfunctional requirements to systems requirements Ability to design and code complex programs Ability to write test cases and scenarios based on the specifications Good understanding of SDLC and agile methodologies Awareness of latest technologies and trends Logical thinking and problem solving skills along with an ability to collaborate Technical and Professional Requirements: Primary skills:Technology->Cloud Platform->Azure Development & Solution Architecting Preferred Skills: Technology->Cloud Platform->Azure Development & Solution Architecting

Educational Requirements BSc,BCA,Master Of Engineering,MSc,MCA,MTech,BTech,Bachelor of Engineering Service Line Application Development and Maintenance Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organizations financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Preferred Locations: Bangalore, Hyderabad, Chennai, Pune Experience Required: 3 to 5 years of experience: Pure hands on and expertise on the skill, able to deliver without any support Experience Required: 5 - 9 years of experience: Design knowledge, estimation technique, leading and guiding the team on technical solution Experience Required: 9 - 13 years of experience: Architecture, Solutioning, (Optional) proposal Containerization, micro service development on AWS/Azure/GCP is preferred. In-depth knowledge of design issues and best practices Solid understanding of object-oriented programming Familiar with various design, architectural patterns and software development process. Implementing automated testing platforms and unit tests Strong experience in building and developing applications using technologies like Java/J2EE, Spring boot, Microservices Knowledge about RESTful APIs and ability to design cloud ready applications using cloud SDKs Exposure to cloud compute services like VMs, PaaS services, containers, serverless and storage services on AWS/Azure/GCP Good understanding of application development design patterns Technical and Professional Requirements: Primary Skill: Core Java, Spring boot, Microservices, (Optional) Data Base like SQL etc. Secondary Skills: AWS/Azure/GCP Preferred Skills: Technology->Java->Springboot Generic Skills: Technology->Cloud Platform->Azure Development & Solution Architecting Technology->Cloud Platform->Azure Devops->data on cloud-aws Technology->Cloud Platform->GCP Devops

Join us as a Platform Engineer at Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a Platform Engineer, you should have experience with observability expertise, including hands-on experience with at least one major Observability tool such as Elasticsearch, Grafana, Prometheus, or similar. Strong scripting and development skills using Python are essential. Additionally, solid hands-on experience with AWS cloud services (e.g., EC2, CloudFormation, Lambda, S3), proficiency in Linux-based environments, and experience with CI/CD tools such as Jenkins, GitLab CI/CD, or equivalent, Chef, or Ansible are required. Strong troubleshooting and debugging skills across systems, application, and services are also important. Some other highly valued skills may include knowledge of Infrastructure as Code tools like Terraform or equivalent, experience with Docker and Kubernetes for containerization, understanding of SRE principles, and experience with building or maintaining Log and Metrics pipelines (e.g., Logstash, Kafka, Fluentd). You may be assessed on key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role: To design, develop, and improve software, utilizing various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities: - Development and delivery of high-quality software solutions by using industry-aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. - Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. - Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. - Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. - Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. - Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Analyst Expectations: To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise, guiding and supporting professional development, allocating work requirements, and coordinating team resources. They lead and supervise a team, if applicable, demonstrating a clear set of leadership behaviors. For an individual contributor, they develop technical expertise in the work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area, partner with other functions and business areas, and take responsibility for end results of a team's operational processing and activities. All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

As a digital engineering company, Impetus Technologies is dedicated to providing expert services and products that assist enterprises in achieving their transformation objectives. We specialize in solving the analytics, AI, and cloud puzzle, empowering businesses to foster unparalleled innovation and growth. Established in 1991, we are leaders in cloud and data engineering, serving Fortune 100 enterprises worldwide. Headquartered in Los Gatos, California, we operate development centers in NOIDA, Indore, Gurugram, Bengaluru, Pune, and Hyderabad, boasting a global team of over 3000 members. Additionally, we have offices in Canada and Australia and collaborate with prominent organizations such as American Express, Bank of America, Capital One, Toyota, United Airlines, and Verizon. We are seeking individuals with the following qualifications and experience: - Demonstrated expertise in Big data concepts and distributed systems - Proficiency in Python and PySpark coding - Strong grasp of SQL concepts and ability to write complex SQL queries - Comprehensive understanding of optimizing and enhancing performance for Spark-based workloads - Exposure to at least one Cloud platform is advantageous - Knowledge of Data Structures & Algorithms - Profound understanding of various Data Processing Patterns (Batch/NRT/RT processing) and adept at designing architectures for typical business challenges - Experience with NoSQL Databases (Cassandra/HBase/MongoDB/CouchDB/Neo4j) and SQL Databases (MySQL/Oracle) - Familiarity with Kafka, Redis, Distributed Message Queues, and Distributed Caching - Proficient in Build tools (Maven/Gradle), Code Versioning tools (Git) with Continuous Integration - Strong technical development background with a focus on writing efficient code using best coding practices - Excellent communication skills and aptitude If you possess the skills mentioned above and are enthusiastic about contributing to a dynamic and innovative team, we encourage you to apply and become part of our diverse and talented global workforce at Impetus Technologies.,

Hi All, We are hiring for Splunk Admin role for Noida, Pune, Bangalore and Hyderabad. Role & responsibilities Core Splunk Admin experience. Linux Operating System. Any cloud experience. Mail your Cv- chaitrali.pa@peoplefy.com NOTE : Rotational shift.

Hi All, We are hiring for Splunk Admin role for Noida, Pune, Bangalore and Hyderabad. Role & responsibilities Core Splunk Admin experience. Linux Operating System. Any cloud experience. NOTE : Rotational shift.

About The Role Management Level: - Ind & Func AI Decision Science Consultant Level 9 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Client Relationship Development Manage client expectations and develop trusted relationships Maintain strong communication with key stakeholders Act as a strategic advisor to clients on their data-driven marketing decisions Professional & Technical Skills: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Strong understanding of econometric/statistical modeling:regression analysis, hypothesis testing, multivariate analysis, time series, optimization Expertise in Azure ML, SQL, R, Python, PySpark Proficiency in non-linear optimization and resource optimization Familiarity with design patterns for deploying and maintaining ML models in production Strong command over marketing data and business processes in Retail and CPG Hands-on with tools like Excel, Word, PowerPoint for communication and documentation Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | Accenture Qualification Experience: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

Responsibilities: Ability to apply design patterns and data structures and algorithms (DSA) to solve complex software engineering problems. • Utilize Kafka or similar message-driven architectures to enhance application performance and reliability. • Develop and maintain Java applications with a focus on high availability, fault tolerance, and scalability. • Design and implement microservices architecture, ensuring seamless inter-service communication and fault tolerance. • Create and implement RESTful APIs using Spring Boot Framework. • Employ Java 11 (or above) features, with a focus on stream API and lambda expressions, for efficient logic implementation. • Collaborate with cross-functional teams to define, design, and ship new features. • Write clean, scalable, and maintainable code while following best practices in software development. • Create relevant functional designs and documentation for showcasing solutions and providing them as deliverables. • Integrate and support third-party authentication systems. • Ability to create unit test cases and participate in security scan fixes. • Participate in code reviews and provide constructive feedback to peers. • Troubleshoot and resolve issues in a timely manner. Mandatory skill sets: Solid understanding of design patterns and experience with data structures and algorithms. • Strong proficiency in Java programming language. • Proven experience in developing Java microservices and a deep understanding of fault tolerance and inter-service communication. Expertise in creating and implementing RESTful services using Spring Framework. • Experience with Kafka or other message-driven architectures. • Proficient in Java 11 and above, along with a strong emphasis on stream API and lambda expressions. Preferred skill sets: Experience with cloud platforms such as AWS, Azure, or Google Cloud. • Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. • Experience with CI/CD pipelines and DevOps practices. • Should have basic understanding on AI or a desire to learn the same. • Understanding of front-end technologies (e.g.,

About The Role A platform engineer is responsible for designing, building, and maintaining the technology platforms and infrastructure that support software applications and services. They work on creating and managing the underlying systems and tools that enable developers to build, deploy, and operate their applications efficiently. The role of a platform engineer can vary depending on the client and the specific requirements of the platform they are working on. About The Role - Grade Specific A role that can include overseeing a team of platform engineers, and making key technical decisions in the realm of platform development and operations.Key responsibilities include:Team Leadership and ManagementOverseeing a team of platform engineers, focusing on team dynamics, and effective delivery of cloud platform solutions.Technical Guidance and Decision-MakingProviding technical leadership and making critical decisions regarding platform architecture, tools, and processes. Balancing hands-on involvement with strategic oversight.Mentorship and Skill DevelopmentMentoring team members, enhancing their technical skills, and fostering a culture of continuous learning and innovation in platform engineering practices.Deep Technical ProficiencyPossessing a deep understanding of platform engineering principles and practices, and demonstrating proficiency in key technical areas such as cloud services, automation, and system architecture.Practice DevelopmentContributing significantly to the development of the platform engineering community, staying abreast of emerging trends, and applying this knowledge to drive improvements in the capability. Skills (competencies)

Your Role Architect and implement Apigee Hybrid on Kubernetes (GKE or other platforms). Automate infrastructure provisioning using Terraform, Helm, and CI/CD pipelines. Monitor and optimize API gateway performance and reliability. Collaborate with software engineers and SREs to integrate APIs with microservices. Ensure compliance with security and governance standards. Troubleshoot and resolve issues across the API lifecycle . Your Profile 3+ years of experience with Kubernetes (GKE preferred). Hands-on experience with Apigee (Hybrid or Edge). Proficiency in Terraform, Helm, and container orchestration. Strong understanding of RESTful APIs, OAuth, and API security What You"ll love about working here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have the opportunity to learn on one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications

Your Role Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment Collaborate with data scientists and software engineers to operationalize ML models, serving frameworks (TensorFlow Serving, TorchServe) and experience with MLOps tools Develop and maintain CI/CD pipelines for ML workflows Implement monitoring and logging solutions for ML models, experience with ML model serving frameworks (TensorFlow Serving, TorchServe) Optimize ML infrastructure for performance, scalability, and cost-efficiency Your Profile Strong programming skills in Python (5+ years), with experience in ML frameworks; understanding of ML-specific testing and validation techniques Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes), Knowledge of data versioning and model versioning techniques Proficiency in cloud platform (AWS) and their ML-specific services with atleast 2-3 years of experience. Strong understanding of DevOps practices and tools (GitLab, Artifactory, Gitflow etc.) Experience with monitoring and observability tools (Prometheus, Grafana, ELK stack) and knowledge of distributed training techniques What youll love about working here We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as MLOps, Machine Learning

Who We Are: We are a team of firmware professionals dedicated to developing cutting-edge solutions on IBM Z systems. Our mission is to deliver the most secure platforms for enterprise application deployment. Through Secure Service Containers, we empower IBM LinuxONE customers with on-premise, customer-managed container solutions that ensure robust data protection and safeguard against insider threats. Additionally, we enhance the deployment experience with the Dynamic Partition Manager (DPM), a streamlined configuration tool designed to simplify and accelerate the setup of Linux servers on mainframe systems. What You’ll Do: You will contribute to building the world’s most secure computing systems using IBM Z technology. Your work will help customers deploy their applications securely and efficiently, while also enabling cloud-native solutions that defend against cyber threats and simplify the enablement process. How We’ll Help You Grow: Access a wide range of technical and leadership training programs to support your professional development. Learn directly from experienced developers and mentors who are passionate about sharing their knowledge. Explore diverse areas of work to discover what truly inspires and excites you. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 7+ years of relevant industry experience. Strong programming skills in Java/C/C++, Javascript, ReactJS,Dojo,AUIML Expertise in OS concepts, Container technologies, Security, Virtualization Management, REST API, App Dev on Cloud Platform, DevOps (Continuous Integration) Domain knowledge on Networking, Transport Layer Security(TLS) Demonstrated execution experience of App cloud development / container technologies DevOps. Good communication skills and be able to work effectively in a global team environment. Preferred technical and professional experience Z Systems experience, Private Cloud knowledge, Exposure to Catalog Services, Micro Services. Prior experience / exposure to Storage, Networking and Security would be an added advantage

About The Role 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 Security Services Minimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will design and deliver technology architecture for various platforms, products, or engagements. Your typical day will involve collaborating with cross-functional teams to define solutions that meet performance, capability, and scalability needs, ensuring that the architecture aligns with business objectives and industry standards. You will engage in discussions to refine architectural designs and provide insights that drive innovation and efficiency within the organization. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Engage with multiple teams and be responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams and provide solutions to business area problems.- Facilitate workshops and meetings to gather requirements and align stakeholders on architectural decisions.- Mentor junior professionals in architectural best practices and emerging technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture.- Good To Have Skills: Experience with Google Cloud Security Services.- Strong understanding of cloud-native application design and microservices architecture.- Experience with infrastructure as code tools such as Terraform or CloudFormation.- Familiarity with DevOps practices and CI/CD pipelines. Additional Information:- The candidate should have minimum 18 years of experience in Google Cloud Platform Architecture.- 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 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 : basis Minimum 12 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 guiding the team towards achieving optimal data solutions that support the organization's goals. Responsibilities:Proven experience as a Data Architect and Data Engineer leading enterprise-scale Lakehouse initiatives.Expert-level understanding of modern Data & Analytics Architecture patterns including Data Mesh, Data Products, and Lakehouse Architecture.Excellent programming and debugging skills in Python.Strong experience with Py Spark for building scalable and modular ETL/ELT pipelines.Design and build complex pipelines using Delta Lake, Auto Loader, Delta Live Tables (DLT), and deployment using Asset Bundles.Architect data ingestion and transformation using DLT Expectations, modular Databricks Functions, and reusable pipeline components.Must have hands-on expertise in at least one major cloud platform:AWS, GCP, or Azure.Lead implementation of Unity Catalog:create catalogs, schemas, role-based access policies, lineage visibility, and data classification tagging (PII, PHI, etc.).Guide organization-wide governance via Unity Catalog setup:workspace linkage, SSO, audit logging, external locations, and Volume access.Enable cross-platform data access using Lakehouse Federation, querying live from externally hosted databases.Leverage and integrate Databricks Marketplace to consume high-quality third-party data and publish internal data assets securely.Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing.Govern and manage Delta Sharing for securely sharing datasets with external partners or across tenants.Design and maintain PII anonymization, tokenization, and masking strategies using dbx functions and Unity Catalog policies to meet GDPR/HIPAA compliance.Architect Power BI, Tableau, and Looker integration with Databricks for live reporting and visualization over governed datasets.Build Databricks SQL Dashboards to enable stakeholders with real-time insights, KPI tracking, and alerts.Hands on Experience in applying Performance optimization techniquesLead cross-functional initiatives across data science, analytics, and platform teams to deliver secure, scalable, and value-aligned data products.Provide thought leadership on adopting advanced features like Mosaic AI, Vector Search, Model Serving, and Databricks Marketplace publishing.Working knowledge of DBT (Data Build Tool) is a plus.Strong background in data modeling and data warehousing concepts is required.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 12 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

About The Role Project Role : Infrastructure Engineer Project Role Description : Assist in defining requirements, designing and building data center technology components and testing efforts. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Infrastructure Engineer, you will assist in defining requirements, designing and building data center technology components and testing efforts. A typical day involves collaborating with various teams to ensure that the infrastructure meets the necessary specifications and standards. You will engage in discussions to refine project goals, troubleshoot issues, and implement solutions that enhance the overall performance and reliability of the data center environment. Your role will also include documenting processes and providing support to team members, ensuring that all tasks are completed efficiently and effectively. 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 project progress and ensure alignment with strategic objectives. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture.- Strong understanding of cloud infrastructure design principles.- Experience with data center management and operations.- Familiarity with networking concepts and protocols.- Ability to implement security best practices in cloud environments. Additional Information:- The candidate should have minimum 7.5 years of experience in Google Cloud Platform Architecture.- This position is based in Ahmedabad.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will design, develop, and deliver advanced analytics and machine learning solutions leveraging Google Clouds AI/ML capabilities. You will define models and workflows to meet performance, scalability, and accuracy requirements, ensuring business insights are actionable and aligned with strategic goals. You will be responsible for the successful deployment of AI/ML solutions on Google Cloud.Roles & Responsibilities:Expected to be a Subject Matter Expert (SME) with deep expertise in data science and AI/ML on Google Cloud.Influence and guide analytical and AI-driven decision-making across multiple teams.Engage with stakeholders to identify high-impact data science opportunities.Design, build, and optimize ML models for predictive, prescriptive, and descriptive analytics.Collaborate with data engineering teams to ensure high-quality data pipelines for ML workloads.Ensure solutions adhere to ethical AI principles, security requirements, and compliance standards.Lead model deployment, monitoring, and continuous improvement in production environments.Professional & Technical Skills: Must To Have Skills: Proficiency in Google Cloud AI/ML tools (Vertex AI, AI Platform, BigQuery ML, TensorFlow, AutoML).Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.Experience with large-scale data processing frameworks (Dataflow, Dataproc) and SQL-based analytics (BigQuery).Proficiency in Python/R for data science, with experience in ML frameworks (TensorFlow, Scikit-learn, PyTorch).Knowledge of MLOps practices, including CI/CD for ML and model governance. Additional Information:The candidate should have a minimum of 18 years of experience in data science, with a focus on Google Cloud AI/ML solutions.This position is based Pan India Qualification 15 years full time education

About The Role 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 Security Services Minimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will design and deliver technology architecture for a platform, product, or engagement. Your typical day will involve collaborating with various teams to define solutions that meet performance, capability, and scalability needs. You will engage in discussions to understand requirements, analyze existing systems, and propose innovative architectural designs that align with business objectives. Your role will also include reviewing and refining architectural plans, ensuring they are feasible and effective in addressing the challenges faced by the organization. You will be instrumental in guiding teams through the implementation of these solutions, ensuring that they adhere to best practices and industry standards. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.- Facilitate workshops and meetings to gather requirements and align stakeholders on architectural decisions.- Mentor junior professionals in architectural best practices and emerging technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture.- Good To Have Skills: Experience with Google Cloud Security Services.- Strong understanding of cloud-native application design and microservices architecture.- Experience with infrastructure as code tools such as Terraform or CloudFormation.- Familiarity with container orchestration platforms like Kubernetes.- Knowledge of networking concepts and security best practices in cloud environments. Additional Information:- The candidate should have minimum 18 years of experience in Google Cloud Platform Architecture.- 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 Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Google BigQuery Good to have skills : Apache Spark, Google Cloud Platform Architecture, Google Cloud Data Services Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will also participate in testing and debugging processes to ensure the applications function as intended, while continuously seeking ways to enhance application efficiency and user experience. 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 documentation of application specifications and user guides.- Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery.- Good To Have Skills: Experience with Google Cloud Data Services, Google Cloud Platform Architecture, Apache Spark.- Strong understanding of data warehousing concepts and practices.- Experience in writing complex SQL queries for data manipulation and retrieval.- Familiarity with application development frameworks and methodologies. Additional Information:- The candidate should have minimum 3 years of experience in Google BigQuery.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Google BigQuery Good to have skills : Apache Spark, Google Cloud Platform Architecture, Google Cloud Data Services Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with various stakeholders to gather requirements, developing application features, and ensuring that the solutions align with organizational goals. You will also participate in testing and debugging processes to enhance application performance and user experience, while continuously seeking opportunities for improvement and innovation in application development. 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 and foster a culture of continuous learning.- Monitor application performance and implement enhancements to optimize functionality. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery.- Good To Have Skills: Experience with Google Cloud Platform Architecture, Google Cloud Data Services, Apache Spark.- Strong understanding of data warehousing concepts and best practices.- Experience in SQL and data manipulation techniques.- Familiarity with application development frameworks and methodologies. Additional Information:- The candidate should have minimum 5 years of experience in Google BigQuery.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 Containerization Good to have skills : DevOps, Kubernetes, Go Programming Language Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are urgently seeking a Cloud Platform Engineer with strong experience in Kubernetes, GoLang, and AWS to join our team in Bengaluru. This role involves designing, developing, testing, and deploying cloud-native application solutions that seamlessly integrate hybrid infrastructures. The ideal candidate will have a proactive, solution-oriented mindset and play a critical role in improving system reliability, scalability, and performance through efficient architecture and deployment practices. 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.- Continuously evaluate and improve existing cloud solutions to optimize performance and cost-efficiency. Professional & Technical Skills: - Must To Have Skills: GoLang, Kubernetes Development, AWS experience, CI/CD Pipelines, Linux/Unix, Problem solving & documentation.- Good To Have Skills: EPostgres or (RDS or Aurora other AWS database flavors), Rest API, CLI , Crossplane, Observability tools, Github Actions, Python, AWS IAM & HA/DR Strategies.- Kubernetes, GoLang and AWS development experience is a must.- Basic AWS skills like RDS space, EKS would be required and general knowledge like logging within services to build etc.- Strong understanding of cloud architecture and design principles.- Experience with continuous integration and continuous deployment (CI/CD) practices.- Familiarity with monitoring and logging tools to ensure system reliability and performance. Additional Information:- At least 2 years of Kubernetes experience, overall:6 years experience is required- 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 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 : NA Minimum 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

About The Role 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 Services Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Data Engineer, 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:?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. 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?Develop CCAI- 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. Apply GenAI-Vertex AI models as part of the solution, ?Ensure proper cloud application pipeline with production-ready quality. Experience with programming languages such as Python/Node.jsProfessional & 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, - Have some 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 5 years of experience in Google Cloud Machine Learning Services.- 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