3743 Azure Devops Jobs - Page 40

The Team: We are looking for a highly motivated, enthusiastic, and skilled engineering lead for Commodity Insights. We strive to deliver solutions that are sector-specific, data-rich, and hyper-targeted for evolving business needs. Our Software development Leaders are involved in the full product life cycle, from design through release. The resource would be joining a strong innovative team working on the content management platforms which support a large revenue stream for S&P Commodity Insights. Working very closely with the Product owner and Development Manager, teams are responsible for the development of user enhancements and maintaining good technical hygiene. The successful candidate will assist in the design, development, release and support of content platforms. Skills required include ReactJS, Spring Boot, RESTful microservices, AWS services (S3, ECS, Fargate, Lambda, etc.), CSS / HTML, AJAX / JSON, XML and SQL (PostgreSQL/Oracle), . The candidate should be aware of GEN AI or LLM models like Open AI and Claude etc. The candidate should be enthusiast in working on prompt building related to GenAI and business-related prompts. The candidate should be able to develop and optimize prompts for AI models to improve accuracy and relevance. The candidate must be able to work well with a distributed team, demonstrate an ability to articulate technical solutions for business requirements, have experience with content management/packaging solutions, and embrace a collaborative approach for the implementation of solutions. Responsibilities: Lead and mentor a team through all phases of the software development lifecycle, adhering to agile methodologies (Analyze, design, develop, test, debug, and deploy). Ensure high-quality deliverables and foster a collaborative environment. Be proficient with the use of developer tools supporting the CI/CD process including configuring and executing automated pipelines to build and deploy software components Actively contribute to team planning and ceremonies and commit to team agreement and goals Ensure code quality and security by understanding vulnerability patterns, running code scans, and be able to remediate issues. Mentoring the junior developers. Make sure that code review tasks on all user stories are added and timely completed. Perform reviews and integration testing to assure quality of project development eorts Design database schemas, conceptual data models, UI workows and application architectures that t into the enterprise architecture Support the user base, assisting with tracking down issues and analyzing feedback to identify product improvements Understand and commit to the culture of S&P Global: the vision, purpose and values of the organization Basic Qualifications: 10+ years experience in an agile team development role, delivering software solutions using Scrum Java, J2EE, Javascript, CSS/HTML, AJAX ReactJS, Spring Boot, Microservices, RESTful services, OAuth XML, JSON, data transformation SQL and NoSQL Databases (Oracle, PostgreSQL) Working knowledge of Amazon Web Services (Lambda, Fargate, ECS, S3, etc.) Experience on GEN AI or LLM models like Open AI and Claude is preferred. Experience with agile workflow tools (e.g. VSTS, JIRA) Experience with source code management tools (e.g. git), build management tools (e.g. Maven) and continuous integration/delivery processes and tools (e.g. Jenkins, Ansible) Self-starter able to work to achieve objectives with minimum direction Comfortable working independently as well as in a team Excellent verbal and written communication skills Preferred Qualifications: Analysis of business information patterns, data analysis and data modeling Working with user experience designers to deliver end-user focused benefits realization Familiar with containerization (Docker, Kubernetes) Messaging/queuing solutions (Kafka, etc.) Familiar with application security development/operations best practices (including static/dynamic code analysis tools)

Role Responsibilities : - Design, implement, and manage CI/CD pipelines for cloud-based applications. - Azure DevOps, Terraform, CI/CD. - Experience working on Azure DevOps tool. - Excellent understanding & Hands-on experience of Terraform, Azure infra build, CI/CD pipeline setup for applications. - Experience in Azure Kubernetes, App Service, Function app, Logic app application deployment through Azure DevOps CI/CD pipeline. - Experience in Helm Chart. - Experience in Azure Infra build through Azure DevOps Terraform pipeline. - Working knowledge of various dev ops tools, open-source technologies, and cloud services (Azure) - Awareness of critical concepts in DevOps and Agile principles - Troubleshooting Skills. - Automate infrastructure deployment using Infrastructure as Code (IaC) tools. - Collaborate with development teams to integrate DevOps practices into the software development lifecycle. - Ensure high availability and scalability of cloud resources. - Monitor application performance and implement proactive measures for improvement. - Debug and troubleshoot CI/CD issues, streamlining processes for efficient deployment. - Manage and optimize cloud environments for security and compliance. - Network and configure cloud services effectively, ensuring seamless operation. - Conduct regular system audits and vulnerability assessments. - Document processes, architectures, and configuration changes for future reference. - Provide technical support and guidance to team members regarding DevOps tools and practices. - Evaluate and recommend new DevOps tools and technologies as per industry standards. - Participate in Agile ceremonies and contribute to sprint planning and retrospectives. - Drive DevOps best practices within the team to enhance overall productivity. - Engage with stakeholders to understand requirements and translate them into actionable DevOps solutions. Qualifications : - Bachelors degree in Computer Science, Engineering, or related field. - 7+ years of experience in Azure DevOps engineering. - Strong knowledge of CI/CD tools like Azure DevOps, Jenkins, or similar. - Experience with Infrastructure as Code (Terraform, ARM templates, etc. - Solid understanding of Azure cloud services and deployment mechanisms. - Proficiency in containerization technologies (Docker, Kubernetes). - Experience with monitoring and logging tools (Azure Monitor, Application Insights). - Strong scripting skills in languages such as PowerShell, Bash, or Python. - Familiarity with version control systems (Git, Azure Repos). - Experience working in Agile environments and participating in Scrum practices. - Knowledge of security and compliance best practices in cloud environments. - Problem-solving skills with a keen ability to troubleshoot complex issues. - Excellent communication and collaboration skills. - Ability to work independently and as part of a distributed team. - Relevant certifications in Azure DevOps or Cloud computing are a plus.

Role Responsibilities : - Design and implement scalable Azure DevOps solutions. - Develop Continuous Integration and Continuous Deployment (CI/CD) pipelines. - Automate infrastructure provisioning using Infrastructure as Code (IaC) practices. - Collaborate with software development teams to enhance product delivery. - Monitor system performance and optimize resource utilization. - Ensure application security and compliance with industry standards. - Lead DevOps transformations and best practices implementation. - Provide technical guidance and support to cross-functional teams. - Identify and resolve technical issues and bottlenecks. - Document and maintain architecture designs and deployment procedures. - Stay updated with the latest technologies and advancements in Azure. - Facilitate training sessions for team members on DevOps tools. - Engage with stakeholders to gather requirements and feedback. - Participate in planning and estimation activities for projects. - Contribute to a culture of continuous improvement and innovation. Qualifications : - Bachelor's degree in Computer Science, Information Technology, or related field. - Minimum of 7 years of experience in DevOps engineering. - Proven experience with Azure DevOps tools and services. - Strong knowledge of CI/CD tools such as Azure Pipelines, Jenkins, or GitLab CI. - Experience with Infrastructure as Code tools such as Terraform or ARM Templates. - Hands-on experience with containerization technologies like Docker and Kubernetes. - Solid understanding of cloud architecture and deployment strategies. - Proficiency in scripting languages such as PowerShell, Bash, or Python. - Familiarity with Agile methodologies and practices. - Experience with monitoring tools like Azure Monitor or Grafana. - Excellent communication and collaboration skills. - Strong analytical and problem-solving abilities. - Ability to work independently in a remote team environment. - Certifications in Azure (e.g., Azure Solutions Architect Expert) are a plus. - A background in software development is advantageous.

Overview We are seeking a skilled Associate Manager AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Responsibilities Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate.Responsibilities: Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional Collaboration: Ability to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

Overview As Sales Sr. Mgr., ensure that exceptional leadership & operational direction is provided by his/her analysts team to sales employees across multiple teams and markets. His/her Planogram Analysts deliver visually appealing planograms based on store clustering, space definitions and defined flow. Work closely with Category Management and Space teams to ensure planograms meet approved parameters. Conduct planogram quality audit ensuring all planograms meet assortment requirements, visual appeal, innovation opportunities and shelving metrics. Continuously identify opportunities and implement processes to improve quality, timeliness of output and process efficiency through automation. Responsibilities Head the DX Sector Planogram Analyst team and ensure efficient, effective and comprehensive support of the sales employees across multiple teams and markets Lead and manage the Planogram Analysts work stream by working closely with Sector Space & Planogram team Ensure accurate and timely delivery of tasks regarding: deliver visually appealing versioned planograms based on store clustering, space definitions and defined flow work closely with Category Management and Space teams to ensure planogram meet approved parameters conduct planogram quality control ensuring all planograms meet assortment requirements, visual appeal, innovation opportunities and shelving metrics electronically deliver planograms to both internal teams and external customer specific systems manage multiple project timelines simultaneously ensure timelines are met by tracking project process, coordinating activities and resolving issues build and maintain relationships with internal project partners manage planogram version/store combination and/or store planogram assignments and to provide reporting and data as needed maintain planogram database with most updated planogram files retain planogram models and files for historical reference, as needed Invest and drive adoption of industry best practices across regions/sector, as required Partner with global teams to define strategy for End to End execution ownership and accountability. Lead workload forecasting and effectively drive prioritization conversation to support capacity management. Build stronger business context and elevate the teams capability from execution focused to end to end capability focused. Ensure delivery of accurate and timely planograms in accordance with agreed service level agreements (SLA) Work across multiple functions to aid in collecting insights for action-oriented cause of change analysis Ability to focus against speed of execution and quality of service delivery rather than achievement of SLAs Recognize opportunities and take action to improve delivery of work Implement continued improvements and simplifications of processes and optimal use of technology Scale-up operation in-line with business growth, both within existing scope, as well as new areas of opportunity Create an inclusive and collaborative environment People Leadership Enable direct reports capabilities and enforce consistency in execution of key capability areas; planogram QC, development and timely delivery Responsible for Hiring, talent assessment, competency development, performance management, productivity improvement, talent retention, career planning and development Provide and receive feedback about the global team and support effective partnership. Qualifications 10+ yrs. of retail/merchandizing experience (including JDA) 2+ yrs. of people leadership experience in a Space planning/planogram environment Bachelors in commerce/business administration/marketing, Masters degree is a plus Advanced level skill in Microsoft Office, with demonstrated intermediate-advanced Excel skills necessary Experience with analyzing and reporting data to identify issues, trends, or exceptions to drive improvement of results and find solutions Advanced knowledge and experience of space management technology platform JDA Propensity to learn PepsiCo software systems Ability to provide superior customer service Best-in-class time management skills, ability to multitask, set priorities and plan

Min 5+ yrs Exp in Senior Power Platform Developer (Power Apps, Power Automate, Power BI, Dataverse). Exp in SharePoint Online, Microsoft 365, Azure integrations. Relational databases and data modeling. Power Platform with external systems using APIs

We are looking for an experienced Data Engineer/BI Developer with strong hands-on expertise in Microsoft Fabric technologies, including OneLake, Lakehouse, Data Lake, Warehouse, and Real-Time Analytics, along with proven skills in Power BI, Azure Synapse Analytics, and Azure Data Factory (ADF). The ideal candidate should also possess working knowledge of DevOps practices for data engineering and deployment automation. Key Responsibilities: Design and implement scalable data solutions using Microsoft Fabric components: OneLake, Data Lake, Lakehouse, Warehouse, and Real-Time Analytics Build and manage end-to-end data pipelines integrating structured and unstructured data from multiple sources. Integrate Microsoft Fabric with Power BI, Synapse Analytics, and Azure Data Factory to enable modern data analytics solutions. Develop and maintain Power BI datasets, dashboards, and reports using data from Fabric Lakehouses or Warehouses. Implement data governance, security, and compliance policies within the Microsoft Fabric ecosystem. Collaborate with stakeholders for requirements gathering, data modeling, and performance tuning. Leverage Azure DevOps / Git for version control, CI/CD pipelines, and deployment automation of data artifacts. Monitor, troubleshoot, and optimize data flows and transformations for performance and reliability. Required Skills: 38 years of experience in data engineering, BI development, or similar roles. Strong hands-on experience with Microsoft Fabric ecosystem:OneLake, Data Lake, Lakehouse, Warehouse, Real-Time Analytics Proficient in Power BI for interactive reporting and visualization. Experience with Azure Synapse Analytics, ADF (Azure Data Factory), and related Azure services. Good understanding of data modeling, SQL, T-SQL, and Spark/Delta Lake concepts. Working knowledge of DevOps tools and CI/CD processes for data deployment (Azure DevOps preferred). Familiarity with DataOps and version control practices for data solutions. Preferred Qualifications: Microsoft certifications (e.g., DP-203, PL-300, or Microsoft Fabric certifications) are a plus. Experience with Python, Notebooks, or KQL for Real-Time Analytics is advantageous. Knowledge of data governance tools (e.g., Microsoft Purview) is a plus. Location: Remote- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

AVEVA is creating software trusted by over 90% of leading industrial companies. Job Title: R&D Senior Member of Technical Staff-Test Location: Hyderabad India Employment Type: Full Time The job As part of our global AI development group, youll collaborate with a team of skilled software engineers in designing and implementing AI capabilities and solutions into our product suite. The work will primarily involve testing of our AI capabilities that we introduce in our products ensuring that they are of top-notch quality. You will have the opportunity to work with the latest technologies to ensure that we build and bring meaningful AI capabilities to the market through our product suite. Key responsibilities Participate in Scrum meetings with other team members including sprint planning and estimating; backlog refinement; daily Scrum meetings; sprint retrospectives and sprint reviews. Work collaboratively with scrum colleagues to identify, implement and execute functional and non-functional test scenarios to validate the functionality of the software. Be responsible for defining stories, test strategy, test ideas and translating those into automated and manual tests as part of a cross-functional development team. Use tools including test automation frameworks and data to make testing efficient and easily repeatable for regression purposes. You may be required to update existing frameworks or modify them or build new ones depending on the need. Design, implement, and execute test strategies for AI-powered applications, including LLM-based assistants, computer vision models, and predictive analytics systems. You may be required to mentor junior team members. Handle large amounts of data, as is normally the case with AI models. Essential requirements Minimum 10+ years of functional/domain testing experience within the engineering or a related industry. Expertise in non-functional requirement gathering and identifying critical business scenarios. Strong knowledge and hands-on experience in API testing via automation . Experience in application/functional testing . Should have working knowledge in d esigning and implementing and executing test strategies for AI-powered applications like LLM-based assistants, computer vision models, and predictive analytics systems . Proficiency with CI/CD tools such as GIT, TFS, MS Test, and Azure DevOps. Familiarity with Agile methodologies and processes. Experience in test automation using Selenium with C#/JavaScript or similar scripting languages. Understanding of Microservices and Service-Oriented Architectures . Good grasp of Machine Learning life cycle . Ability to design and implement unit and integration tests for machine learning models using varied datasets. Should have working knowledge in d esigning and implementing and executing test strategies for AI-powered applications like LLM-based assistants, computer vision models, and predictive analytics systems Exceptional communication skills to collaborate with Product Owners, System Testers, and Product Support teams . Experience mentoring and coaching less experienced colleagues. Strong problem-solving skills with a proactive and positive approach. Desired skills and competencies Organization: The pace at AVEVA can be exciting and fast, so whilst you will need excellent time management and effective prioritization, we will do all we can to support a balanced portfolio of work, and your wellbeing. Quality Software: You are passionate about delivering software that is reliable, performant and scales well. Problem-solving: Youll need to enjoy figuring how to get out of sticky problems, as troubleshooting and solving challenging problems is a big part of this role. R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke its the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us. Find out more: aveva.com/en/about/careers/r-and-d-careers/ India Benefits include: Gratuity, Medical and accidental insurance, very attractive leave entitlement, emergency leave days, childcare support, maternity, paternity and adoption leaves, education assistance program, home office set up support (for hybrid roles), well-being support Its possible were hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out more: aveva.com/en/about/careers/benefits/ Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process. Find out more: aveva.com/en/about/careers/hiring-process About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life such as energy, infrastructure, chemicals, and minerals safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/ Find out more: aveva.com/en/about/careers/ AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.

Job Title: Senior AI Engineer (Clinical Research) Required Experience: 3+ years Location: Pune Job Description: We are seeking a highly skilled and experienced Senior AI Engineer to lead the development and deployment of advanced artificial intelligence and machine learning solutions for clinical research initiatives. This role will drive innovation in clinical data extraction, patient cohort analysis, protocol optimization, and predictive modeling to support better decision-making and operational efficiencies in clinical trials. This position requires a strong combination of technical expertise, leadership skills, and business acumen . Key Responsibilities 1. AI/ML Development & Deployment Develop and deploy machine learning models for extracting, classifying, and analyzing structured and unstructured clinical data (e.g., EMRs, CRFs, protocols). Apply NLP techniques for entity recognition, relationship extraction, summarization, and semantic search of clinical trial texts. Build predictive models for trial success, patient recruitment, dropout risk, and adverse event detection. Lead the development of GenAI workflows, including LLM/SLM/VLM-based pipelines and multi-modal AI applications. Implement computer vision and OCR/IDP models for clinical document processing and imaging. 2. RAG (Retrieval-Augmented Generation) & LLM Engineering Design and optimize RAG workflows, including embedding and retrieval pipelines. Work with Gemini Flash 2.5 or similar models (e.g., GPT-4, Claude) for LLM-based clinical data tasks. Fine-tune prompt engineering, context window optimization, and chunking strategies. Integrate and manage vector stores such as FAISS, Chroma, or Vertex AI Matching Engine. 3. Data Engineering & Pipelines Collaborate with data engineers to build scalable pipelines for ingesting and transforming clinical and biomedical data (e.g., PubMed, CT.gov, EHR, imaging). Handle data cleansing, harmonization, annotation, and transformation for ML readiness. Develop ingestion processes for structured and unstructured sources: PDF, SCORM, HTML, internal documents. 4. Evaluation, Monitoring & Regulatory Compliance Evaluate models using domain-specific metrics (e.g., precision@k, response confidence) and build continuous feedback loops. Ensure transparency, explainability, and reproducibility in model design. Maintain compliance with HIPAA, GDPR, and GxP/ISO 13485 standards. 5. Leadership & Collaboration Lead and mentor a team of junior data scientists and ML engineers. Define and drive AI strategy aligned with clinical and regulatory objectives. Collaborate with clinical scientists, statisticians, product managers, and regulatory teams to translate clinical goals into technical AI solutions. 6. Project & Technical Ownership Own end-to-end execution of AI projects: scoping, design, development, deployment, monitoring. Provide technical direction in deep learning (CNNs, Capsule Networks, Variational Autoencoders, Graph Neural Networks). Ensure MLOps best practices, including CI/CD, monitoring, logging, and governance in cloud environments. Technical Skills & Experience Must-Have: Proficiency in Python (FastAPI/Flask), LangChain, HuggingFace, and vector database integrations. Experience with embedding techniques and vector similarity (cosine, dot product, top-k retrieval). Hands-on experience with GenAI models (e.g., Gemini Flash 2.5, GPT-4, Claude). Knowledge of biomedical ontologies (UMLS, SNOMED CT, MeSH) and EDC systems. Familiarity with CDISC, HL7 FHIR, and OMOP CDM standards for clinical data. Proven experience in deploying AI models on cloud platforms: AWS SageMaker, GCP Vertex AI, or Azure ML. Desirable: Exposure to MLOps, scientific ML, and data visualization tools. Experience with Google Cloud (AlloyDB, Vertex AI APIs, secure deployments). Working knowledge of LMS content ingestion (PDFs, SCORM, HTML). Familiarity with frameworks like LlamaIndex or Haystack. Qualifications Bachelors or Masters in Computer Science, Biomedical Engineering, Data Science, or related field. PhD preferred. 3+ years of AI/ML experience, with 1+ years in clinical research or healthcare. Strong leadership, communication, and stakeholder management skills. Demonstrated success in translating complex clinical problems into deployable AI solutions.

NTT DATA is looking for a talented and passionate individual to join our team as a C#.NET GCP Cloud developer in Bangalore, Karnataka (IN-KA), India. As a Senior .NET/GCP Engineer, you will be responsible for developing in .Net/.Net Core, Object-Oriented Programming, REST API development, GCP services such as pub sub and cloud functions, working with databases and writing stored procedures, unit and service testing, and cloud platform experience in AWS, Azure, or GCP. The ideal candidate should have at least 6+ years of experience in .Net/.Net Core, 3+ years of experience with Object-Oriented Programming and SOLID Principles, and 3+ years of Rest API development. Additionally, they should have 2+ years of hands-on experience in GCP, 2+ years of experience working with Databases, 2+ years of unit and service testing with frameworks such as xunit, Nunit, etc., and 1+ year of cloud platform experience in AWS, Azure, or GCP. Preferred qualifications include experience with CI/CD tooling such as Jenkins, Azure Devops, etc., and containerization technologies like Docker, Kubernetes. The ideal candidate should have a mindset of a lifelong learner, a team player who supports their teammates, and an effective communicator capable of conveying design ideas to technical and non-technical stakeholders. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, we offer diverse experts in more than 50 countries and have a robust partner ecosystem. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. We are committed to helping clients innovate, optimize, and transform for long-term success. If you are looking to be part of an inclusive, adaptable, and forward-thinking organization and meet the above qualifications, we encourage you to apply now.,

As a Senior Quality Engineer at NTT DATA, you will play a vital role in ensuring the successful delivery of defect-free digital solutions to our clients, enabling them to thrive in today's competitive market. Your responsibilities will include overseeing test management, designing and executing test automation frameworks, conducting performance testing, analyzing test results, and collaborating with various teams to ensure the quality and integrity of applications. Joining our Quality Engineering practice is not just a job but an opportunity for career growth. You will be equipped with the necessary skills to implement enterprise-grade test automation, produce robust applications, and continuously enhance your capabilities. We will provide training on quality assurance practices, new programming languages, test automation tools, and support you in obtaining relevant certifications to further advance your expertise. Once you are part of our team, you will be involved in various aspects of test management, automation, performance testing, results analysis, collaboration, environment management, issue resolution, code coverage, defect management, automation framework customization, and testing strategies for large-scale system software. Your role will also require expertise in Cargo Platform, UI Path automation tool, performance testing tools, messaging systems, OpenShift, Kubernetes, and test management tools like Jira, Azure DevOps, or HP ALM. We are looking for individuals with at least 6 years of experience in overall test automation, CargoWise proficiency, UI Path automation tool expertise, and a strong background in designing functional and end-to-end test cases. Knowledge of performance testing tools, messaging systems, OpenShift, Kubernetes, and test management tools is also essential. Preferred qualifications include advanced skills in performance testing tools, ADO pipeline setup experience, software testing automation skills, and proficiency in BDD principles using tools like Cucumber. The ideal candidate for this role is a lifelong learner, a team player, and an effective communicator. You should be proactive, resourceful, and willing to take on new challenges. If you are passionate about delivering high-quality digital solutions and eager to contribute to a dynamic and innovative team, we encourage you to apply for this exciting opportunity. Please note that this position requires working hours from 1:30 pm IST to 10:30 pm IST. Join NTT DATA, a global leader in business and technology services, and be part of a diverse team dedicated to driving innovation, optimizing processes, and transforming businesses for long-term success. Visit us at us.nttdata.com to learn more about our organization and the impactful work we do.,

The candidate for this role should have a strong background in machine learning algorithms, deep learning frameworks, and practical experience in building and deploying AI solutions. You will collaborate with cross-functional teams to design, develop, and implement innovative AI-driven products and solutions. Your responsibilities will include designing, developing, and deploying machine learning and deep learning models for various business applications. Leading and contributing to projects involving Generative AI, collaborating with data scientists, software engineers, and product managers to deliver end-to-end AI solutions, analyzing and preprocessing large datasets, developing predictive models and algorithms, evaluating and optimizing model performance, and staying up to date with the latest advancements in AI/ML and Generative AI research and technologies. You should be a self-directed and proactive professional who takes initiative, adapts quickly to new technologies and changing requirements, and strategically applies knowledge to solve complex business problems. It is essential to stay current with emerging AI trends, drive innovation, maintain a focus on code quality and best practices. To qualify for this role, you will need a Bachelor's degree in computer science, Data Science, Statistics, or a related field. 3-4 years of experience in AI/ML project development with a minimum of 2 years of hands-on experience with Generative AI is required. Proficiency in programming languages such as Python, experience with data manipulation libraries, and a solid grasp of machine learning techniques and algorithms are essential. Hands-on experience with various AI technologies and frameworks, as well as experience developing and deploying ML models via REST APIs, is also necessary. Preferred qualifications include relevant certifications in data science from reputed universities specializing in AI, strong analytical and problem-solving skills, effective verbal and written communication skills, and good presentation skills. At Emerson, a workplace where every employee is valued, respected, and empowered to grow is prioritized. The company fosters an environment that encourages innovation, collaboration, and diverse perspectives. Career development, inclusive culture, competitive benefits plans, flexible time off options, and employee wellbeing are key priorities at Emerson. Emerson is a global leader in automation technology and software, helping customers in critical industries operate more sustainably while improving productivity, energy security, and reliability. The company celebrates diversity, embraces challenges, and offers opportunities for professionals at all stages of their careers to make a difference.,

As a qualified candidate for this position, you should possess a Bachelor's degree in Computer Science or a related field, or have equivalent experience. You must have a minimum of 6 to 9 years of relevant experience, with at least 6 years in software development and 3 years in .Net Core. Proficiency in SSRS Reporting and DevExpress report is mandatory for this role. Your responsibilities will include independently troubleshooting and resolving technical issues reported by clients, demonstrating a quick learning ability to solve high-priority problems efficiently. Collaboration with the Product Management team to address customer inquiries, requirement understanding & analysis, design, development, and deployment of applications hosted in Azure with Azure SQL are key aspects of the role. Additionally, you will be expected to perform unit testing, code reviews, defect fixes, work on hot fixes and change requests, participate in production releases, and provide support to the respective team. Effective communication with business users and client IT teams is crucial. Strong communication and teamwork skills are essential for success in this role. Key technical skills required for this position include proficiency in C#.NET, .NET Framework, .NET Core, Azure, Azure SQL, SQL Server, Web API, jQuery/Javascript, HTML, CSS, GitHub/Azure DevOps, and JIRA. You should also have a solid understanding of Object-Oriented Programming (OOP), Asynchronous Programming, LINQ (Language Integrated Query), Entity Framework, and various Azure services. Experience with SSRS Reporting and DevExpress Report will be an added advantage.,

The job is located in Chennai, Tamil Nadu, India with the company Hitachi Energy India Development Centre (IDC). As part of the Engineering & Science profession, the job is full-time and not remote. The primary focus of the India Development Centre is on research and development, with around 500 R&D engineers, specialists, and experts dedicated to creating and sustaining digital solutions, new products, and technology. The centre collaborates with Hitachi Energy's R&D and Research centres across more than 15 locations in 12 countries. The mission of Hitachi Energy is to advance the world's energy system to be more sustainable, flexible, and secure while considering social, environmental, and economic aspects. The company has a strong global presence with installations in over 140 countries. As a potential candidate for this role, your responsibilities include: - Meeting milestones and deadlines while staying on scope - Providing suggestions for improvements and being open to new ideas - Collaborating with a diverse team across different time zones - Enhancing processes for continuous integration, deployment, testing, and release management - Ensuring the highest standards of security - Developing, maintaining, and supporting Azure infrastructure and system software components - Providing guidance to developers on building solutions using Azure technologies - Owning the overall architecture in Azure - Ensuring application performance, uptime, and scalability - Leading CI/CD processes design and implementation - Defining best practices for application deployment and infrastructure maintenance - Monitoring and reporting on compute/storage costs - Managing deployment of a .NET microservices based solution - Upholding Hitachi Energy's core values of safety and integrity Your background should ideally include: - 3+ years of experience in Azure DevOps, CI/CD, configuration management, and test automation - 2+ years of experience in various Azure technologies such as IAC, ARM, YAML, Azure PaaS, Azure Active Directory, Kubernetes, and Application Insight - Proficiency in Bash scripting - Hands-on experience with Azure components and services - Building and maintaining large-scale SaaS solutions - Familiarity with SQL, PostgreSQL, NoSQL, Redis databases - Expertise in infrastructure as code automation and monitoring - Understanding of security concepts and best practices - Experience with deployment tools like Helm charts and docker-compose - Proficiency in at least one programming language (e.g., Python, C#) - Experience with system management in Linux environment - Knowledge of logging & visualization tools like ELK stack, Prometheus, Grafana - Experience in Azure Data Factory, WAF, streaming data, big data/analytics Proficiency in spoken and written English is essential for this role. If you have a disability and require accommodations during the job application process, you can request reasonable accommodations through Hitachi Energy's website by completing a general inquiry form. This assistance is specifically for individuals with disabilities needing accessibility support during the application process.,

The Software DevOps Engineer (1-3 Years Experience) position requires a Bachelor's degree in Computer Science, Information Technology, or a related field along with 1-3 years of experience in a DevOps or related role. As a Software DevOps Engineer, your responsibilities will include designing, implementing, and maintaining CI/CD pipelines to ensure efficient and reliable software delivery. You will collaborate with Development, QA, and Operations teams to streamline the deployment and operation of applications. Monitoring system performance, identifying bottlenecks, and troubleshooting issues to ensure high availability and reliability are also part of your role. Furthermore, you will automate repetitive tasks and processes to improve efficiency and reduce manual intervention. Participating in code reviews, contributing to the improvement of best practices and standards, and implementing and managing infrastructure as code (IaC) using Terraform are essential duties. Documentation of processes, configurations, and procedures for future reference is required. Staying updated with the latest industry trends and technologies to continuously improve DevOps processes, as well as creating POC for the latest tools and technologies are part of the job. The mandatory skills for this position include proficiency in Azure Cloud, Azure DevOps, CI/CD Pipeline, Version control (git), Linux Commands, Bash Script, Docker, Kubernetes, Helm Charts, Monitoring tools like Grafana, Prometheus, ELK Stack, Azure Monitoring, Azure, AKS, Azure Storage, Virtual Machine, an understanding of micro-services architecture, orchestration, and Sql Server. Optional skills that are beneficial for this role include Ansible Script, Kafka, MongoDB, Key Vault, and Azure CLI. Overall, the ideal candidate for this role should possess a strong understanding of CI/CD concepts and tools, experience with cloud platforms and containerization technologies, a basic understanding of networking and security principles, strong problem-solving skills, attention to detail, excellent communication and teamwork skills, and the ability to learn and adapt to new technologies and methodologies. Additionally, being ready to work with clients directly is a key requirement for this position.,

Overview We are seeking a skilled Associate Manager AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Responsibilities Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities: Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional Collaboration: Ability to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

Job Title:Senior-Azure Devops, Terraform/Terragrunt, Github, Jenkins, HA-DR, AWS services Experience: 5-10Years Location:Bangalore Job Description : Senior-Azure Devops, Terraform/Terragrunt, Github, Jenkins, HA-DR, AWS services.

Design & deliver training programs, course materials, labs and assessment's on Cloud, DevOps & Terraform. Guide and mentor students to become job-ready. Job Type: Full Time/Part Time/Contractual Salary: Based on number of Batches & Hours Work from home

Senior QA Engineer Experience: 6+ years Qualification: Any Bachelors Degree Roles & Responsibilities Design and execute manual & automated test cases Develop and maintain Cypress-based test automation Integrate tests into CI/CD pipelines (Azure DevOps) Collaborate with teams to ensure product quality Own QA lifecycle from planning to release Preferred (Post-Hiring Training) Mobile testing (BrowserStack, Appium)

Job Title: Senior QA Engineer (Manual + Automation Testing) Educational Qualification: Bachelors degree in any discipline Experience Required: 6+ years overall QA experience 5+ years in manual and automation testing 5+ Years Experience with Strong background in UI testing with Cypress and TypeScript Primary Skills (Must-Have): Manual testing experience: test case design and execution Strong hands-on experience with Cypress using TypeScript Good understanding of automation frameworks Experience with tools like Azure DevOps or Jira Solid knowledge of functional, integration, and automation testing Experience working in Agile/Scrum environments Role Responsibilities: Design, develop, and execute test cases (manual & automation) Implement UI and API automation frameworks using Cypress with TypeScript Integrate automated tests into Azure DevOps pipelines Collaborate with developers, BAs, and other QA team members to ensure high-quality product delivery Actively participate in sprint planning, daily stand-ups, and reviews Own and drive the software quality assurance lifecycle within Agile processes Soft Skills (Evaluated by Hiring Manager): Strong communication skills (verbal, written, IM) Proactive in providing regular task updates Excellent problem-solving and analytical abilities Team player with strong interpersonal and collaboration skills Open to feedback and continuous improvement Expected Outcomes: Deliver high-quality test coverage across features and releases Improve automation coverage and CI/CD integration Maintain clear documentation and timely reporting of defects Collaborate effectively across cross-functional teams to deliver retail domain solutions Good to Have / Future Training Plan: Knowledge of mobile testing frameworks Familiarity with performance testing tools Exposure to cloud platforms

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : .Net Full Stack Development Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning to align application development with organizational goals, ensuring that the solutions provided are effective and efficient.Must Require Skill Sets:C#.NET Core Asp.Net CoreOOP concepts Web APIs Azure DevOps HTML, JavaScript, CSS MVC Razor React is good to have. Good Experience with Azure SQL DatabaseAzure API managementAzure Application InsightsAzure FunctionsAzure Key VaultAzure App ServiceAzure Event GridAzure Cache for RedisAzure Storage AccountAzure Pipelines (Azure DevOps)Azure SQL Database Azure Active Directory-Oracle Knowledge an advantage 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.- Mentor junior team members to enhance their skills and knowledge.- Facilitate regular team meetings to discuss progress and address any roadblocks. Professional & Technical Skills: - Must To Have Skills: Proficiency in .Net Full Stack Development.- Strong understanding of web development frameworks and technologies.- Experience with database management and optimization techniques.- Familiarity with cloud services and deployment strategies.- Ability to implement best practices in software development and design patterns. Additional Information:- The candidate should have minimum 5 years of experience in .Net Full Stack Development.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure PaaS Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive project success. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring that best practices are followed throughout the development process. Your role will be pivotal in shaping the direction of application projects and ensuring that they meet the highest standards of quality and functionality. 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 training and development opportunities for team members to enhance their skills.- Monitor project progress and implement necessary adjustments to ensure timely delivery. Professional & Technical Skills: Experience with integration architecture and designExperience with Azure Logic AppsExperience with Azure functionsExperience in working with Azure APIMKnowledge of Azure KeyVaultKnowledge of Dynamics 365 is good to have Additional Information:- The candidate should have minimum 7.5 years of experience in Microsoft Azure PaaS.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Salesforce Lightning Web Components Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will work hands-on to develop and configure Salesforce systems, either end-to-end or for specific business requirements. Your typical day will involve collaborating with various teams to ensure the successful implementation of software solutions, applying your knowledge of technologies and methodologies to support project goals and client needs. You will engage in problem-solving activities, guiding your team through challenges while ensuring adherence to best practices and project timelines. Your role will also include mentoring team members and fostering a collaborative environment to drive innovation and efficiency in software development. Roles & Responsibilities:- Expected to be an technically strong Salesforce Developer and SME.- Understand the requirement, come up with technical analysis and design to meet the business requirement.- Collaborate with technical architect to support the technical design and get the approach reviewed.- Work on individual work items assigned, perform technical reviews for team members.- Create and maintain best practices for Salesforce and LWC development and ensure team follows the same.- Spear-head POC work on business requirements or adoption on new features.- Be a go-to person for Technical issues across all the phases from Requirements to Deployment and support the team across the development lifecycle.- 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 skills and capabilities.- Monitor project progress and ensure alignment with strategic objectives. Professional & Technical Skills: - Must To Have Skills: Strong technical and hands on skills in design and development of Salesforce Lightning Web Components.- Must have worked on multiple Salesforce Clouds Sales, Service, Experience.- Must have strong technical skills and hands on experience on:Apex, Triggers, Integrations, Sync-Async processes, Flows, LWC.- Must be familiar and should have experience and DevOps tools like Copado/AutoRABIT/Azure DevOps- Strong understanding of web development principles and best practices.- Experience with JavaScript frameworks and libraries.- Strong knowledge and hands on experience on using design patterns and best practices.- Experience with integration techniques and tools within the Salesforce ecosystem.- Good to have experience on Financial Services domain- Familiarity with Agile methodologies and project management tools.- Ability to troubleshoot and optimize application performance. Additional Information:- The candidate should have minimum 6.5 years of experience in Salesforce Lightning Web Components.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Deployment Practitioner Project Role Description : Assist the Deployment Lead in all deployment-related tasks including work planning, scheduling, budgeting, metrics, training, pilots and resources. Must have skills : Openlink Endur Environment Management Good to have skills : Microsoft Azure DevOps, Deployment ManagementMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Deployment Practitioner, you will assist the Deployment Lead in all deployment-related tasks including work planning, scheduling, budgeting, metrics, training, pilots, and resources. Your day will involve supporting the Deployment Lead in various deployment activities and ensuring smooth project execution. Roles & Responsibilities:- Work with individuals, teams from development through to implementation -The individual would be responsible for setting up the build,release pipelines for all applications in Visual Studio Team Services -The individual will be responsible for managing the change process, code merging, release documentation configuration package rollout Laisse with stakeholders both onshore and offshore -Ability to Create CI/CD Pipeline for Operation and Environment -Need to have Worked on Azure DevOps Professional & Technical Skills: - Must To Have Skills: Proficiency in Openlink Endur Environment Management- Good To Have Skills: Experience with Microsoft Azure DevOps, Deployment Management- Ownership of the end-to-end Endur architecture, providing functional leadership to other domain architects to ensure overall cohesion -Ensuring all services are developed to achieve a single vision and a controlled set of integrated designs -Experience of leading,hsetting up Endur datacenter from scratch; along with other multi-party solutions -Experience of designing the grid architecture and load balancer -Experience with Azure, AWS would also be useful -Knowing Endur environ management - Strong understanding of deployment processes and best practices- Knowledge of deployment tools and technologies- Experience in coordinating deployment activities Additional Information:- The candidate should have a minimum of 5 years of experience in Openlink Endur Environment Management- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Immediate Joiner For SDET QA @ Hyderabad Yrs- 5-10 Yrs Selenium Test Automation Test frameworks: Selenium, NUnit/ xUnit, Rest Assured Languages: C#, JavaScript/TypeScript Tools: Azure DevOps, CI/CD pipelines, Test Plans, Load Testing Understanding of WCAG testing, regression, integration, and API testing Interested candidates kindly share resume on below mail id: aishwarya.singh@innovasolutions.com - Candidate must have PF and UAN from all company.