1791 Azure Cloud Jobs - Page 49

Key Responsibilities Architectural Leadership Lead end-to-end architecture and solution design for enterprise applications using Power Platform, Azure Services, and ASP.NET. Define and enforce architectural standards, design patterns, and best practices across the solution lifecycle. Provide technical leadership and mentorship to development teams, ensuring high-quality deliverables. Power Platform Expertise Architect and build solutions using Power Apps (Canvas & Model-Driven), Power Automate (Cloud and Desktop), and Power BI . Design data models and business logic using Dataverse , ensuring performance and scalability. Integrate Power Platform with Azure services , third-party APIs , and optional Dynamics 365 modules when applicable. Azure and ASP.NET Core Development Lead the development and deployment of scalable, secure services using Azure Functions , App Services , API Management , and Azure Logic Apps . Design and develop web applications using ASP.NET Core , including RESTful APIs and back-end services. Implement security best practices with Azure Active Directory , identity management, and role-based access controls. DevOps & Automation Define and maintain CI/CD pipelines for Power Platform and Azure-based applications using Azure DevOps . Automate testing and deployment for improved delivery speed and reliability. Optimize performance and cost for Azure-hosted solutions. Team Collaboration & Leadership Collaborate with business stakeholders to gather requirements and define architecture roadmaps. Guide distributed teams through solution delivery using Agile/Scrum methodologies. Mentor junior architects and developers, ensuring team growth and alignment with technology strategy. Required Skills and Experience Technical Skills 8+ years of experience in designing and implementing enterprise-grade software solutions. Strong expertise in Power Platform : Power Apps, Power Automate, Power BI, and Dataverse. Mandatory experience with ASP.NET Core , C# , and Azure Integration Services (Logic Apps, Azure Functions, API Management). Solid understanding of cloud architecture , DevOps , and application lifecycle management. Leadership & Communication Proven experience leading architecture efforts and technical teams across multiple projects. Strong communication and stakeholder engagement skills. Ability to manage competing priorities and deliver high-impact solutions under tight deadlines. Preferred Qualifications Microsoft certifications such as: PL-100 , PL-200 , PL-300 PL-600 ( Power Platform Solution Architect Certification) AZ-204 (Developing Azure Solutions), AZ-305 (Azure Solutions Architect Expert) Experience with Application Lifecycle Management (ALM) for Power Platform. Familiarity with Dynamics 365 modules (Sales, Marketing, Customer Service) is a plus but not required. Experience with Azure Databricks and Azure Synapse Analytics is a plus . Knowledge of AI Builder , Azure AI/ML services , or Virtual Agents is an advantage. Awareness of governance, compliance , and security frameworks for enterprise applications. Perks & Benefits: - Attractive salary - Medical insurance - Certification reimbursement - Provide avenues for continuous learning/ Online training program - Performance Bonus

Job Summary The Technical Lead role requires a seasoned professional with 10 to 14 years of experience in EMC Data Domain Azure and EMC Networker Backup Administration. This hybrid work model position involves day shifts and does not require travel. The candidate will drive technical excellence and innovation ensuring robust data backup solutions that align with the companys strategic goals. Responsibilities Lead the design and implementation of backup solutions using EMC Data Domain and EMC Networker to ensure data integrity and availability. Oversee the administration and optimization of Azure cloud services to enhance operational efficiency and scalability. Provide technical expertise and guidance to the team fostering a collaborative environment that encourages innovation and problem-solving. Develop and maintain documentation for backup procedures and disaster recovery plans to ensure compliance and readiness. Collaborate with cross-functional teams to integrate backup solutions with existing infrastructure enhancing overall system performance. Monitor system performance and conduct regular audits to identify and resolve potential issues proactively. Implement security measures to protect data from unauthorized access and ensure compliance with industry standards. Analyze and report on backup system metrics to inform strategic decision-making and continuous improvement efforts. Coordinate with vendors and stakeholders to ensure seamless integration and support of backup technologies. Drive initiatives to automate backup processes reducing manual intervention and increasing efficiency. Provide training and support to team members enhancing their technical skills and knowledge in backup technologies. Evaluate emerging technologies and trends to recommend improvements and innovations in backup solutions. Ensure alignment of backup strategies with business objectives contributing to the companys mission and societal impact. Qualifications Possess extensive experience in EMC Data Domain demonstrating proficiency in managing complex backup environments. Have a strong background in Azure cloud services showcasing the ability to optimize and scale cloud operations. Exhibit expertise in EMC Networker Backup Administration ensuring reliable and efficient data protection. Demonstrate excellent problem-solving skills with a focus on delivering effective and innovative solutions. Show capability in documentation and compliance ensuring readiness for audits and disaster recovery scenarios. Display strong collaboration skills working effectively with cross-functional teams to achieve common goals. Have a proactive approach to system monitoring and issue resolution ensuring optimal performance and reliability. Certifications Required EMC Data Domain Specialist Certification Microsoft Certified: Azure Administrator Associate

Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions. Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools. Perform multiple aspects involved in the development lifecycle. Design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support. Provide technical leadership and collaborate within a team environment as well as work independently. Be a part of a DevOps team that completely owns and supports their product. Implement batch and streaming data pipelines using cloud technologies. Leads development of coding standards, best practices and privacy and security guidelines. Mentors' others on technical and domain skills to create multi-functional teams All you'll need for success. Minimum Qualifications: Education & Prior Job Experience 1. Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 2. 3 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions 3. 3 years Data Engineering experience using SQL 4. 2 years of cloud development (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Power Apps and Power BI. 5. Combination of Development, Administration & Support experience in several of the following tools/platforms required: a. Scripting: Python, PySpark, Unix, SQL b. Data Platforms: Teradata, SQL Server c. Azure Data Explorer. Administration skills are a plus d. Azure Cloud Technologies: Top 3 Mandatory Skills and Experience: SQL, Python, PySpark

Role & responsibilities Experience in SSIS Proven experience as a SQL Developer and Python/PySpark Developer. Experience with SQL Server, MySQL, or other relational databases. Knowledge of performance tuning and optimization techniques. Strong knowledge of ETL concepts and tools. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Preferred candidate profile Experience in SSIS

Role & responsibilities Preferably 5 years of experience developing Microsoft Dynamics CRM, preferably with the latter years on the cloud platform. Customization and form scripting Administration/security role configuration Plugin and workflow Business Process Flow Sitemap and ribbon Power apps and flows Azure Based Integrations (Azure Functions and Azure Logic Apps) Emphasis on Marketing and Sales app PRIMARY RESPONSIBILITIES / KEY RESULT AREAS Actively participate in AGILE ceremonies (Standups, Retrospectives, etc.) ensuring proactive communication about challenges and opportunities as they arise. Actively work with Service now and Azure DevOps ensuring the Incidents and user stories are controlled and prioritized in timely manner. Ensure SES KPI`s for supporting are met and focus on customer satisfaction is a mandatory focus. Maintain a service-oriented attitude: Provide excellent service to our system users, product owners and scrum masters Provide excellent service to our colleagues and customers by troubleshooting, providing workarounds and prioritizing bugs that cannot be treated by Level 1 support. Keep an open mind and take on development tasks outside of Dynamics 365 supporting our commercial application eco-system. Much of this is becoming Azure, and most will be directly related to Dynamics 365 including Power Apps and flows. Some may outside of the Microsoft environment. End to end view of application interfaces including support and understanding of Mulesoft APIs Assist and help Junior support team members and other members of the team. Support BPP (Business Process Procedure) Generation Create and execute test scripts, working with developers to have them automated in the selenium framework. Act on the First and Second Level Support as the IT main point of contact for having the incidents solved. Create and Report on Support related KPI`s such as incident aging, communicating directly to our business stakeholders. Gather feedback from end users about system issues, performance Keep abreast of technology trends and developments. Ensure all technical documentation related to developments or implementations you support is well maintained. Work with the BPO’s on identifying appropriate training needs, supporting the process as needed Actively engage in, and promote the AGILE delivery principals.

Must Skills: AWS or Azure any one (Expert) Python(expert), Typescript/Golang, dynamodb, serverless, Cloud migration, Integration, Kubernetes , IAC, cluster management, Development Nice to Have : Devops,(CI/CD,Jenkins) Job Description: We are seeking a highly skilled Senior Cloud Engineer with extensive experience in software development and DevOps to lead our efforts in automating Cloud infrastructure. The ideal candidate will focus on building automation for Cloud Landing Zones and collaborate with cross-functional teams to ensure the successful implementation and maintenance of cloud solutions. Responsibilities: • Design, implement, and maintain scalable and efficient cloud-based solutions on AWS and Azure. • Lead initiatives to automate cloud infrastructure. • Collaborate with teams to integrate best practices in development, code quality, and automation. • Guide and mentor development teams, providing expertise in DevOps and automation practices. • Contribute to the design and implementation of cloud applications using serverless architectures, Kubernetes, and event-driven patterns. • Develop and maintain CI/CD pipelines to streamline deployments, utilizing GitOps methodologies. • Apply security best practices to design and implement secure authentication and authorization mechanisms. • Monitor and optimize the performance, scalability, and reliability of cloud applications. • Stay updated with the latest cloud technologies and development trends, applying new tools and frameworks as needed. • Ensure software systems meet functional and non-functional requirements while adhering to best practices in software design, testing, and security. • Foster continuous improvement by sharing knowledge, conducting team reviews, and mentoring junior developers. Requirements: • Proven experience as a Cloud engineer or similar role, with a strong focus on AWS (Azure is a plus). • Solid experience in software development and DevOps practices. • Expertise in AWS/Azure infrastructure automation. • Proficiency in programming languages such as Python, Golang, or JavaScript. • Experience with serverless architectures, Kubernetes, and event-driven patterns. • Knowledge of CI/CD pipelines and GitOps methodologies. • Strong understanding of cloud security best practices. • Excellent problem-solving skills and ability to work collaboratively in a team environment. • Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications: • Experience in designing and working with No-SQL databases such as DynamoDB. • Experience in leading and mentoring development teams. • Expertise in software architecture, development, and systems testing with a strong focus on cloud technologies. • Strong technical guidance and decision-making abilities to shape solutions and enforce development best practices. • Proficient in applying quality gates, including code reviews, pair programming, and team review meetings. • Experience in code management and release processes, with familiarity in Monorepo and Multirepo strategies. • Solid understanding of functional programming principles, including list/map/reduce/compose techniques and familiarity with monads. • Knowledge of SDLC, and adherence to DRY, KISS, and SOLID design principles. • Proficient in managing security protocols such as ABAC, RBAC, JWT, SAML, AAD, and OIDC for authentication and authorization. • Expertise in event-driven architecture, including queues, streams, batches, and pub/sub systems. • Strong understanding of scalability, concurrency, and distributed systems. • Experience with cloud networking and proxies. • Expertise in CI/CD pipelines, GitFlow, and GitOps frameworks like Flux and ArgoCD. • Polyglot programmer with expert-level proficiency in at least two languages (e.g., Python, TypeScript, GoLang). • Experience in operating Kubernetes clusters from a developers perspective, including custom CRDs, operators, and controllers. • Experience in building serverless cloud applications. • Strong team player with the ability to communicate and collaborate well in a fast- paced, collaborative environment. • Proficient in using GitHub for version control, code reviews, and collaborative development. • Experience working in agile teams, participating in sprints, and collaborating effectively in cross-functional teams. • Fluency in UI development using React, Hooks, and TypeScript is a plus. • Deep knowledge of AWS cloud services, with a basic understanding of Azure as a plus. • Experience in developing and managing cloud infrastructures using Crossplane.io is a plus. • Knowledge equivalent to AWS Certified DevOps Engineer – Professional is a plus

Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions. Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools. Perform multiple aspects involved in the development lifecycle. Design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support. Provide technical leadership and collaborate within a team environment as well as work independently. Be a part of a DevOps team that completely owns and supports their product. Implement batch and streaming data pipelines using cloud technologies. Leads development of coding standards, best practices and privacy and security guidelines. Mentors' others on technical and domain skills to create multi-functional teams All you'll need for success. Minimum Qualifications: Education & Prior Job Experience 1. Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 2. 3 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions 3. 3 years Data Engineering experience using SQL 4. 2 years of cloud development (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Power Apps and Power BI. 5. Combination of Development, Administration & Support experience in several of the following tools/platforms required: a. Scripting: Python, PySpark, Unix, SQL b. Data Platforms: Teradata, SQL Server c. Azure Data Explorer. Administration skills are a plus d. Azure Cloud Technologies: Top 3 Mandatory Skills and Experience: SQL, Python, PySpark

Role & responsibilities Must have experince in Dotnet Fullstack Developer Preferred candidate profile Must have experience in Azure, Angular Salary Best in industries

At Prolifics, we are currently implementing multiple solutions in Software Development, and we are looking to hire talented Project Manager for our development center in India. This position would be based out of Hyderabad and is a permanent position. If you are looking for a high growth company with rock-solid stability, if you thrive in the energetic atmosphere of high-profile projects, we want to talk to you today! Lets connect and explore possibilities of having you onboard the Prolifics team! Job Title: Technical Project Manager Primary skills: Experience in project management, preferably in IT services or product development Location: Hyderabad (Mindspace#12B) Educational Qualification: B.Tech/BE/M.Tech/MCA/M.Sc Experience: 10+ Job Description: 10+ years of experience in project management, preferably in IT services or product development Strong understanding of SDLC, Agile/Scrum methodologies, and client engagement Experience managing cross-functional technical teams, risk management, and delivery tracking Knowledge of DevOps, CI/CD pipelines, and cloud platforms (e.g., Azure, AWS, or GCP) is a plus Excellent communication, stakeholder management, and reporting skills. About us: Prolifics Corporation Limited is a Global Technology Solutions Provider with presence across North America (USA and Canada), Europe (UK and Germany), Middle East & Asia. In India, we have offshore development centres: 2 in Hyderabad & 1 in Pune. For more than 40 years, Prolifics has transformed enterprises of all sizes including over 100 Fortune 1000 companies by solving their complex IT challenges. Our clients include Fortune 50 and Fortune 100 companies across a broad range of industries including Financial Services, Insurance, Government, Healthcare, Telecommunications, Manufacturing and Retail. We rank consistently in Dream Companies to Work for and Dream Employer of the Year ranking from World HRD Congress, ranked 7 in 2019. We encourage you to visit us on www.prolifics.com or follow us on Twitter, LinkedIn, Facebook, YouTube and other social media to know more about us

Role & responsibilities: Modify and manage Azure Terraform git repositories for infrastructure deployment. Troubleshoot and maintain Azure Kubernetes Service (AKS) clusters. Configure and manage Azure Application Gateways for load-balancing pods in AKS. Deploy and configure Azure Databricks, including setting up compute pools and managing data flows. Utilize Azure DevOps for streamlined CI/CD processes. Manage Azure Network services including Virtual Networks, Route Tables, and Firewalls. Handle Azure Active Directory tasks like user and app registration management. Required Skills: Proficiency in Azure Cloud, DevOps and Terraform. Nice to have Skills: Experience with Kubernetes (AKS). Strong knowledge of Azure Data Services (Databricks, ML Studio, Data Lake, PostgreSQL, SQL). Expertise in Azure Network Services (Application Gateway, Virtual Networks, Route Table, Firewall). Familiarity with Azure Active Directory (User management, App registration). Proficient in Git for version control.

Company Name: - UST Global Software Architect I 9-12 Years Pune Full Time Job description Role Proficiency: Leverage expertise in a technology area (e.g. Big Data Cluster) and responsible for Architecture for small to mid size projects. Outcomes: Design and develop the framework; be the technical owner for a project in one technology area Guide and review technical delivery by internal teams Resolve design issues and deliver/own design for a complex module for projects of the following nature: architecture enhancements small sized development and maintenance projects Review design and code ensuring adoption of industry best practices Measures of Outcomes: Number of reusable components / processes developed Number of times components / processes reused Delivery efficiency (Adherence to UST defined principles) Contribution to technology capability development (e.g. Training Webinars Blogs) Customer feedback on overall technical quality (zero technology related escalations) Number of white papers/document assets contributed to Relevant technology certifications Business Development number of proposals contributed to as applicable) Feedback from Project Team/Program Management on project support Outputs Expected: Solution Definition & Design: Define Architecture for small/mid-sized type of projects Design the technical framework and implement the same Identify and conduct design of complex sub-components /module in collaboration with project team architects and client SME Present the detailed design documents to relevant stakeholders and seek feedback Undertake project specific Proof of Concepts activities to validate technical feasibility with guidance from the Application Architect Implement best optimized solution and resolve performance issues Support the team in the design of functional modules and review deliverables Conduct code reviews Requirement gathering and Analysis: Understand the functional and non-functional requirements Collect non-functional requirements (such as response time throughput numbers user load etc.) through discussions with SMEs and business users Identify technical aspects as part of story definition especially at an architecture / component level Project Management Support: Share technical inputs from Agile/project planning perspective with SCRUM Master / Project Manager Help SCRUM Masters / Project Managers to understand the technical risks and come-up with mitigation strategies Help developers overcome technical challenges Technology Consulting: Analysis of technology landscape process and tools based on project objectives Business and Technical Research: Understand application architecture and its criticality to: analyze and assess tools (internal/external) on specific parameters Understand application architecture and its criticality to: Support Architect/Sr. Architect in drafting recommendations based on findings contained within Proof of Concept Understand application architecture and its criticality to: analyze and identify new developments in existing technologies (e.g. methodologies frameworks accelerators etc.) Understand application architecture and its criticality to: document the new developments (e.g. report white paper national/ international publications) to build team capabilities. Project Estimation: Provide support for project estimations for business proposals and support sprint level / component level estimates Articulate estimation methodology and module level estimations for more standard projects with focus on effort estimation alone Proposal Development: Contribute to proposal development of small to medium size projects from technology/architecture perspective Knowledge Management & Capability Development: Conduct technical trainings and webinars to impart knowledge to relevant application development/ project teams Create collaterals (e.g. case study business value documents summary etc.) Post in blogs / interviews to share expertise Gain industry standard certifications on technology and architecture consulting Contribute to knowledge repository and tools Creating reference architecture model reusable design patterns and mining reusable components from the project Partner with UST Gamma to create curriculum assessments; etc.; conduct training Create KT Packages for new team members Testing Support: Suggest unit test automation strategies using appropriate frameworks Process Improvements / Delivery Excellence: Identify avenues to improve project delivery parameters (e.g. productivity efficiency process security etc.) by leveraging tools automation etc. Understand various technical tools used in the project (third party as well as home-grown) to improve efficiency productivity Audit: Conduct cross project technical audits and reviews across multiple accounts as required to check adherence to architecture design and coding best practices Skill Examples: Use domain/ industry knowledge to understand business requirements. Create POC to meet business requirements under guidance Use technology knowledge to analyse technology based on client's specific requirement analyse and understand existing implementations. Work on simple technology implementations (POC) under guidance guide the developers and enable them in the implementation of design into working software in the technology Use knowledge of Architecture Concepts and Principles to provide inputs to the practitioner towards building component solutions and deploy the solution as per the architecture under guidance Use knowledge of Design Patterns Tools and Principles to create low level design under guidance from the Architect for the given business requirements Review low level design created by team for maintainability (error handling ing etc.) of design define technical checklists for design and coding Use knowledge of Software Development Process Tools & Techniques/Scrum tools to increase productivity and develop efficient code. Constantly check for reusability of codes design and develop complex assets and provide technical consultancy related to these areas Use knowledge of Project Management Tools and Techniques to provide inputs in project management activities (e.g. reporting reviewing documents audit compliance reports providing status). Raise concerns within own area of work in a timely manner and implement the same under guidance Use Project Governance Framework to facilitate communication with the right stakeholders and Project Metrics to help them understand their relevance in project; and to share inputs on project metrics with the relevant stakeholders for own area of work Use Estimation and Resource Planning knowledge to help estimate and plan resources for specific modules / small projects with detailed requirements in place Use Knowledge Management Tools & Techniques to participate in the knowledge management process (such as Project specific KT). Consume and contribute to the knowledge management repository Use knowledge of Technical Standards Documentation & Templates to understand and interpret the documents provided Use Requirement Gathering and Analysis knowledge to analyse requirements (functional/ non -functional) and functionality raise clarifications/ambiguities create requirement documents (such as traceability matrix bridge documents etc.) under supervision. Provide inputs/ create estimates and solutions (based on the size of the project) create design documents identify impacted areas based on the change requests understand the data and model the requirements based on requirements Use Solution Structuring knowledge to understand the proposed solution. Provide inputs to create draft proposals/ RFP (including effort estimation scheduling resource loading etc.) Knowledge Examples: Domain/ Industry Knowledge: Basic knowledge of standard business processes within the relevant industry vertical and customer business domain Technology Knowledge: Working knowledge of sub-portion in a technology area related to own area of work (e.g. Java/JEE 5+ Microsoft technologies or Mainframe/legacy); sub-set of frameworks (Struts JSF Hibernate Spring) etc. sufficient enough to implement end-to-end application related to own area of work; low level details such as data structures algorithms within one technology stack; configuration parameters for successful deployment within one technology stack Architecture Concepts and Principles: Basic knowledge of standard architectural principles models patterns (e.g. SOA N-Tier EDA etc.) and perspective (e.g. TOGAF Zachman etc) integration architecture including input and output components existing integration methodologies and topologies source and external system non functional requirements data architecture deployment architecture and architecture governance Design Patterns Tools and Principles: Working knowledge of design patterns principles patterns and tools Software Development Process Tools & Techniques: Specialized knowledge of SDLC process (Agile and Traditional) SDLC methodology programming principles best practices (refactoring code code package etc.) Project Management Tools and Techniques: Basic knowledge of: project management process (such as project scoping requirements management change management risk management quality assurance disaster management etc.) tools (MS Excel MPP Client specific time sheets capacity planning tools etc.) Project Management: Basic understanding of project governance structure awareness of basic project metrics like effort and defect quality metrics Estimation and Resource Planning: Working knowledge of estimation and resource planning techniques (e.g. TCP estimation model) UST specific estimation templates Knowledge Management Tools & Techniques Basic knowledge of industry knowledge management tools (such as portals wiki) UST and customer knowledge management tools techniques (such as workshops classroom training self-study application walkthrough and reverse KT) Technical Standards Documentation & Templates: Basic knowledge of various document templates and standards (such as business blueprint design documents and test specifications) Requirement Gathering and Analysis: Demonstrates working knowledge of requirements gathering for ( non functional) requirements analysis for functional and non functional requirement analysis tools (such as functional flow diagrams activity diagrams blueprint storyboard) techniques (business analysis process mapping etc.) and requirements management tools (e.g.MS Excel) Additional Comments: As an Associate Architect, you will collaborate with senior architects and engineering teams to design, implement, and maintain robust software solutions. Working with modern technology stacks, including .NET, React, and AWS Cloud, to build scalable and efficient applications. Key Responsibilities: • Assist in the design and architecture of end-to-end software solutions, ensuring they meet business and technical requirements. • Collaborate with senior architects to ensure application designs are scalable, maintainable, and meet performance standards. • Contribute to architectural decision-making, including cloud infrastructure (AWS), data storage, security, and application structure. • Assist in evaluating new tools, technologies, and frameworks to integrate into the development process. • Design, develop, and maintain applications using .NET, React, and AWS services. • Work closely with cross-functional teams to deliver high-quality software on time. • Assist in code reviews and mentor junior developers in best practices. • Participate in the full software development lifecycle, including analysis, design, implementation, and testing. • Troubleshoot and resolve technical issues in collaboration with development and operations teams. • Ensure the implementation of cloud-based services is efficient and cost-effective, leveraging AWS resources like EC2, S3, Lambda, RDS, etc. Required Skills and Experience: • Strong knowledge and hands-on experience with .NET (C#, ASP.NET Core, etc.). • Experience with React for building modern, responsive user interfaces. • Solid understanding of AWS Cloud services, including EC2, Lambda, S3, RDS, and other serverless solutions. • Familiarity with designing scalable, high-performance systems and APIs. • Understanding of software development principles and best practices. • Ability to work in a fast-paced, collaborative environment and adapt to changing requirements. • Strong problem-solving and troubleshooting skills. • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Desired Skills: • Experience with CI/CD pipelines and DevOps tools for automation and deployment. • Knowledge of database design and optimization (SQL/NoSQL). • Familiarity with containerization technologies like Docker and Kubernetes. • Exposure to Agile methodologies and project management tools (e.g., Jira, Confluence). Qualifications: • Bachelors degree in Computer Science, Engineering, or a related field. • 8+ years of experience in software development, with exposure to architecture. • Prior experience in working with cloud-based infrastructure, particularly AWS. Skills .Net,Application Architecture,Aws Cloud, Preferred candidate profile

Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 4 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models Utilize optimization tools and techniques, including MIP (Mixed Integer Programming. Deep knowledge of classical AIML (regression, classification, time series, clustering) Drive DevOps and MLOps practices, covering CI/CD and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. Kindly apply - https://careers.ey.com/job-invite/1606310/ and Vaishnavi - 9384017399 Contact - vaishnavi@gds.ey.com

Skills: SRE, AWS Devops, Azure Devops Education: B.TECH, B.Sc, BCA Year of Experience : 3-15 Yrs Location : Pan India

Position : Java Full stack Developer (Only Immediate Joiner) Experience : 5 to 8 years of proven experience in Full Stack Java Development Education : Bachelors degree in Computer Science or a related field. Location : Bangalore Mode of Work : Remote Skills / Eligibility Criteria 1. Bachelors degree in Computer Science or a related field. 2. 6 to 8 years of proven experience in Full Stack Java Development. 3. Strong proficiency in Java, J2EE (JDK 8 and JDK 17). 4. Proven experience as a Full Stack Java Developer in a senior or lead role. 5. Proven experience in building Microservices architecture. 6. Expertise in Spring frameworks, especially Spring Boot technologies. 7. Database experience with SQL and Oracle. 8. Strong problem-solving skills and the ability to work collaboratively in a team environment. 9. Exposure to cloud hosting and IT domains such as CI/CD pipelines and automated testing. 10. Excellent communication and interpersonal skills. Your role as a leader Java and Microservices Development: Proficient in Java and J2EE technologies (JDK8 and JDK 17). In-depth knowledge of Microservices architecture and design principles. Extensive experience with Spring frameworks and Spring Boot technologies. Database and Persistence: Strong expertise in database technologies and stored procedures. Proficient in Hibernate, Entity mapping, and JPA Repository Implementations. Build and Deployment Tools: Hands-on experience with build tools like Maven/Gradle and version control systems like Git. Familiarity with CI/CD pipelines for software build automation. Testing: Proficient in testing frameworks such as Junit and Mockito. Experience in automated testing to ensure the reliability and quality of software solutions. Web Services: Extensive experience in developing and consuming Web Services, including REST, SOAP, and proficiency in handling data formats like JSON, WSDL, and XML. Front-End Development: Hands-on experience in front-end technologies such as Angular or ReactJS is a plus. Cloud and Related Technologies: Exposure to cloud hosting platforms. Familiarity with related IT domains, including cloud services, and the ability to integrate cloud solutions into the overall architecture. Cloud Technology: Substantial experience in cloud technologies, with a focus on AWS, Azure, or Pivotal Cloud. Contribute to the strategic use of cloud hosting platforms in the development and deployment of solutions. Interested candidates kindly share your CV and below details to usha.sundar@adecco.com 1) Present CTC (Fixed + VP) - 2) Expected CTC - 3) No. of years experience - 4) Notice Period - 5) Offer-in hand - 6) Reason of Change - 7) Present Location -

We are looking for a skilled .NET Developer with a strong background in Windows application development using WPF, .NET Core, and C# . The ideal candidate will have experience with multithreaded applications, inter-process communication, API development, and modern deployment practices including Kubernetes. If you are passionate about building scalable, high-performance desktop applications and enjoy working in a collaborative environment, wed love to hear from you! Key Responsibilities: Design, develop, and maintain Windows-based applications using C#, .NET Core, WPF, and WCF Implement real-time communication features using SignalR Debug and optimize multithreaded applications , focusing on synchronization and IPC (Inter-Process Communication) Develop and secure REST APIs using tools like Apigee/API Gateway Work with Kubernetes for microservices deployment and orchestration Create detailed design documents including component and sequence diagrams Follow Agile methodologies , contribute to code reviews , and ensure adherence to coding standards Collaborate with product owners, QA, and DevOps to deliver high-quality solutions Must-Have Skills: Expertise in C#, .NET Core, WPF, WCF Proven experience with Windows application development Strong in multithreading, synchronization, and IPC Knowledge of API development & API security using Apigee/API Gateway Understanding of design patterns, OOPS, data structures, and OOAD Hands-on experience with Kubernetes for deploying and managing services Experience with SignalR for real-time communications Familiarity with unit testing frameworks (NUnit, MSTest, etc.) Excellent problem-solving and debugging skills Strong communication and stakeholder interaction skills Nice-to-Have Skills: Exposure to Java, Python, React.js or Angular Knowledge of cloud platforms like Azure or AWS Experience with device driver development , serial port communication, or Windows Driver Kit (WDK) Understanding of embedded systems or high-availability systems Familiarity with C++, STL, IDL/COM/CORBA

Job Title BA with Azure Desired Profile - Collect, analyse, and document all business and functional requirements for the Data Lake infrastructure. Support advancements in Business Analytics to ensure the system meets evolving business needs. P rofile new and existing data sources to define and refine the data warehouse model. Collaborate with architects and stakeholders to define data workflows and strategies. Drive process improvements to optimize data handling and performance. Perform deep data analysis to ensure accuracy, consistency, and quality of data. Work with QA resources on test planning to ensure quality and consistency within the data lake and Data Warehouse. Gather data governance requirements and ensure implementation of data governance practices within the Data Lake infrastructure. Collaborate with functional users to gather and define metadata for the Data Lake. Key Skills: Azure Data Factory, Synapse, Power BI, Data Lake, SQL, KQL, Azure Security, data integration, Oracle EBS, cloud computing, data visualization, CI/CD pipelines, communication skills, problem-solving. Soft Skills: Excellent analytical and problem-solving skills. Strong verbal and written communication abilities.

Roles and Responsibilities Design, develop, test, and deploy scalable backend applications using Golang on AWS/Azure cloud platforms. Collaborate with cross-functional teams to identify requirements and implement solutions that meet business needs. Ensure high availability, security, and performance of the application by implementing IAM roles and Kubernetes deployment strategies. Troubleshoot issues related to containerization (Docker) and orchestration (Kubernetes). Participate in code reviews to ensure adherence to coding standards and best practices.

JOB DESCRIPTION Position Azure Devops Experience Required 5- 12 Years Shift Timings – 11AM - 8 pm Location – Hyderabad (Hybrid) ROLES AND RESPONSIBILITIES A Cloud Engineer is responsible for designing, implementing, and managing cloud infrastructure and services. They work with various cloud platforms, such as Microsoft Azure, to deploy and maintain cloud-based solutions. Their responsibilities include developing cloud architecture, optimizing system performance, ensuring security and compliance, automating processes, and troubleshooting any issues that may arise in the cloud environment. Must to Have 2 years exp in the below skillset: - Azure Devops AKS Terraform CI/CD with YAML Security concepts

Job Description: Bachelors degree in IT or related field of discipline, or equivalent work experience, Required 8 to 11 years of experience in DevOps in security or related role, Required Security+, Cisco DevOps, Azure DevOps solutions, Kubernetes certification, Docker Certified Associate, CCNA, CCNP, C|EH Cloud Platforms & Security Azure Security Center and Security Tools GCP Security Command Center Cloud Security Architecture Design Infrastructure & Automation Infrastructure as Code (Terraform, CloudFormation) Configuration Management (Ansible, Chef, Puppet) CI/CD Pipeline Security (Azure DevOps, GitLab, GitHub Actions) Script development (Python, Bash, PowerShell, Ansible) Container & Orchestration Docker Security Best Practices Kubernetes Security (CKS level expertise) Container Vulnerability Scanning Pod Security Policies Security Tools & Technologies SIEM Systems (Google Chronicle, SPLUNK, Sentinel One) Security Scanning Tools (Rapid7, Burp Suite,) WAF Configuration and Management (AKAMAI, Fastly) IDS/IPS Systems API Security Gateway Implementation

Role & responsibilities We are seeking a highly experienced Senior Full Stack Developer & Technical Lead to take full ownership of the architecture, development, deployment, and evolution of a complex full stack web application. This is a leadership role that starts hands-on youll own the initial development of the platform and then scale into a team-building position, where youll be responsible for recruiting, mentoring, and leading a high-performing engineering team. You will set the technical vision, establish engineering practices, and lead the delivery of a scalable, secure, and maintainable product. If youre ready to build both the system and the team behind it this role is for you. Architect and develop a full stack web application using C#, ASP.NET / .NET Core, and modern Microsoft Azure services. Lead all phases of software development, from design and implementation to deployment and support. Define the technical roadmap, choose the right tools and frameworks, and ensure scalability and reliability. Recruit and build out the engineering team, including technical interviewing and onboarding. Establish and enforce best practices in software architecture, code quality, testing, DevOps, and security. Set up and manage CI/CD pipelines and version control workflows using Azure DevOps and Git. Design and manage cloud infrastructure on Microsoft Azure, including databases (Azure SQL), App Services, and networking. Create and integrate RESTful APIs and connect to third-party services where needed. Deliver responsive and intuitive front-end experiences using JavaScript, HTML5, and CSS3. Collaborate closely with stakeholders to align product vision with technical execution. Maintain comprehensive technical documentation and ensure smooth knowledge transfer across the team. Preferred candidate profile 10+ years of full stack web development experience, including complex application architecture and production delivery. Expert-level proficiency in C#, ASP.NET / .NET Core, and Microsoft Azure cloud services. Deep experience with Azure DevOps, Git-based version control, and agile project methodologies. Strong front-end skills in JavaScript, HTML, CSS, with attention to responsive design and UX principles. Demonstrated experience integrating and developing RESTful APIs. Proven ability to lead and scale technical teams from hiring and onboarding to mentoring and managing. Strong communication, leadership, and strategic decision-making skills. Perks and benefits PF, Insurance, paid on time etc.

(Notice Period should not be more than 30 Days) Job Summary: We are seeking a Python Backend Engineer with experience in AI/ML workflows , particularly LLMs and LangChain . The role focuses on developing Generative AI-driven applications, integrating LLMs, building data-pipelines, and backend services. Prior experience with generative AI is strongly preferred. Key Responsibilities: Implement LangChain/LangGraph workflows for AI-driven automation. Fine-tune LLMs for business applications. Build and optimize FastAPI-based backend services. Manage data pipelines and storage using PostgreSQL . Deploy and scale AI models using Docker (Kubernetes is a plus). Work with AWS SageMaker, GCP Vertex AI, or Azure ML for model deployment. Improve inference efficiency and reduce latency for real-time AI applications. Required Skills: Strong Python backend development (FastAPI preferred). Experience with LLMs, and prompt engineering . Hands-on experience with LangChain/LangGraph . Knowledge of PostgreSQL and scalable data storage. Familiarity with Docker, Kubernetes for containerization. Exposure to at least one cloud platform (AWS/GCP/Azure). Nice to Have: Experience with vector databases (e.g., Pinecone, FAISS, Qdrant, etc.). Experience with fine-tuning LLMs. Familiarity with micro-services Familiarity with MLOps best practices. Familiarity with any of AWS SageMaker, GCP Vertex AI, or Azure ML for AI model deployment.

Deploy/configureDelineaCloud Platform as well as Centrify AD Bridging for Linux Configure integrations with ServiceNow/telemetry systems Provide ongoing maintenance, monitoring & support for Delinea Secret Serve Onboard & manage privileged accounts Required Candidate profile Ensure compliance with security policies & best practices Integrate Delinea Secret Server with other applications, including Active Directory, cloud providers (AWS, Azure, GCP) & MFA solutions

Virtual interview on 06th, 07th & 08th June 2025 Job Location : Bangalore or Chennai or Hyderabad Mode of work : Hybrid Looking for candidates from Trivandrum / Cochin who can join within 30 days. Job Summary: We are seeking a highly experienced Senior Azure, .NET Framework and SQL Developer to join our team. The ideal candidate will have a strong background in .NET development along with deep expertise in Azure services. This role involves working on cloud-native solutions, app modernization, and migration projects. Experience with Telerik UI and Reporting Services is highly desirable. Key Responsibilities: Design, develop, and maintain cloud-native applications using .NET Framework and Azure services. Develop and deploy applications using Azure App Services, Azure SQL Managed Instance, and Azure Container Apps. Create responsive and user-friendly UI using Telerik components and implement reporting solutions with Telerik Reporting Services. Participate in cloud migration and modernization projects, providing technical guidance and hands-on implementation. Collaborate with cross-functional teams to gather requirements, architect solutions, and ensure best practices. Optimize application performance, scalability, and security in the cloud environment. Maintain documentation and support application deployment and CI/CD processes. Required Skills & Experience: 8+ years of experience in .NET Framework application development. Proven experience with: Azure App Services Azure SQL Managed Instance Azure Container Apps Telerik UI and Reporting Services Strong experience in Azure migration and modernization projects. Solid understanding of cloud architecture, DevOps practices, and microservices. Excellent analytical and problem-solving skills. Strong communication and teamwork abilities. Good-to-have Qualifications: Azure certifications (e.g., AZ-204, AZ-305) are a plus. Experience with CI/CD tools like Azure DevOps. Familiarity with Agile methodologies.

Java profiles Mandatory skills: Java 8+, Spring Boot , Microservices Experience Range- 5 to 15 Years Roles & Responsibilities Expert level knowledge and understanding in JAVA Spring boot, Spring Framework stack. Deep understanding of microservices, design patterns and best practices to implement. Knowledge of relational database systems SQL, Oracle and NO SQL databases key-value, Graph, document, and Column-family. Ability to code, do code reviews and recommend best practices. Able to work with multidisciplinary team or in an environment in which multidisciplinary teamwork is carried out.

Architect with Java stack and Azure Cloud solutioning experience Act as a technical escalation point for team members working on app migration consulting engagements across different layers of tech stack. Will provide technical direction, identify and implement technical strategy with technical teams. Please note, this is not a line manager role but a technical lead role. - Will work with app teams to understand migration needs and areas where app teams can benefit from migrations to target platforms (how can migration to target platforms/Cloud help improve time to market, how can app move to Cloud) - Work with app teams keeping Cloud First principle in mind to drive app containerization, refactoring and re platforming strategies targeted for the Cloud - Help adopt existing automation and identify use cases for automation to improve app migration efficiencies and customer experience Must have Skills : - Senior technical / lead resource profile with over 10-12+ years of experience preferably across tech stack (OS, platform, database, middleware etc.) - Proven work experience as a Java Architect - Expert-level knowledge of Java and its ecosystems '- Hands-on experience with Software architecture, development, Cloud engineering, Infra-as-code, Infra engineering - Hands-on Cloud engineering skills with proven experience with MS Azure services (AKS, Azure Functions, Web Apps etc.), migration blueprints etc. AZ-900 certification must, higher certifications preferred but not a must - Automation skills – has experience improving/automating processes, developing tools to profile/refactor code etc. - Has strong experience working with application teams across business functions. Preferably has been in application lead/developer/architect roles - Team-oriented, self-starter, proactive and able to independently coordinate, organize and track tasks. - Should be comfortable to act as a technical escalation point for team members - Quick learner, comfortable with minimal / no instructions, customer-focused Good to Have: - Containerization experience (OpenShift, Docker, Kubernetes) - Experience with Strategy roles and roles driving transformation initiatives - Experience working with DORA metrics, Cloud-centric KPIs