Duration: Long term Location: Hyd (hybrid) Job Description: DevOps Engineer - CI/CD Company Overview: Cisco is a forward-thinking technology company focused on delivering innovative solutions in Information Technology. We are seeking a skilled and motivated DevOps Engineer to join our team and play a crucial role in building and managing our Continuous Integration and Continuous Deployment (CI/CD) pipelines. As a DevOps Engineer in our organization, you will have the opportunity to shape our development and deployment processes to ensure efficiency, reliability, and rapid delivery of high-quality software. Position Overview: We are looking for a talented DevOps Engineer with a strong background in CI/CD pipeline design, implementation, and management. In this role, you will collaborate closely with development, quality assurance, and operations teams to streamline and automate our software delivery pipeline. Your expertise will contribute to the enhancement of our development practices, enabling our teams to deliver software with speed, quality, and consistency. Responsibilities: Design, implement, and maintain end-to-end CI/CD pipelines using Jenkins to enable automated build, testing, and deployment of applications. Collaborate with development teams to define best practices for code integration, branching, and versioning strategies. Provision and manage various AWS/Azure services like RDS, MSK, Elasticache, EC2, S3, EFS, CloudFront etc using Terraform. Launch Kubernetes platform (EKS/AKS) using Terraform. Docker image creation/hardening/patching and application deployment using helm chart. Collaborate with operations teams to ensure smooth deployment and release processes, including rollbacks and disaster recovery plans. Continuously monitor and optimize the performance and efficiency of CI/CD pipelines to reduce build and deployment times. Stay updated with industry best practices and emerging technologies in DevOps and suggest relevant improvements. Integrate automated testing frameworks and static code analysis tools like SonarQube into the CI/CD pipeline to ensure software quality. Provide technical support to development teams in diagnosing and troubleshooting issues. Participate in on-call rotations and incident response activities. Qualifications: Bachelor s degree in computer science, Information Technology, or a related field. Relevant certifications are a plus. 5 years of experience as a DevOps Engineer, Site Reliability Engineer, or in a similar role. Strong understanding of CI/CD concepts, tools, and best practices. Proficiency in scripting and programming languages such as Python, Shell, Bash, Groovy. Experience with CI/CD tools like Jenkins, ArgoCD, Argo Workflow, Octopus Deploy etc. Familiarity with version control systems (GitHub) and branching strategies. Solid experience in containerization technologies (Docker) and orchestration (Kubernetes/EKS/AKS) Hands-on experience with infrastructure-as-code tools such as Terraform, CloudFormation, etc. Solid understanding of cloud platforms like AWS & Azure. Experience in monitoring tools like Grafana, Prometheus & CloudWatch. Excellent problem-solving skills and the ability to troubleshoot complex technical issues. Strong communication and collaboration skills to work effectively across teams. Demonstrated ability to automate repetitive tasks and drive process improvements.

We are looking for a skilled QA Engineer to join our team and ensure the highest quality of our software products. The ideal candidate will have hands-on experience with Playwright for web automation, JavaScript/TypeScript for scripting, and Selenium with Java for robust test automation. Key Responsibilities: Design, develop, and maintain automated test scripts using Playwright and Selenium. Collaborate with development teams to identify and resolve defects. Perform functional, regression, and performance testing to ensure product stability. Develop and execute test cases for web applications using JavaScript/TypeScript. Ensure continuous integration and test execution in CI/CD pipelines. Provide detailed reports on bugs, test coverage, and automation improvements. Requirements: Experience with Playwright and Selenium for UI automation. Proficiency in JavaScript/TypeScript and Java for test automation scripting. Strong understanding of software testing concepts, including functional and non-functional testing. Familiarity with CI/CD pipelines and version control systems like Git. Excellent problem-solving and analytical skills

Responsibilities: Design and maintain dashboards that visualize large volumes of test case data Enable clear visibility into test failures and timelines for easier release management Build tools to streamline the testing and release process Required Skills: Strong experience with PostgreSQL Ability to work with Allure test reports Understanding of Python test frameworks Strong proficiency in Python Experience building Grafana dashboards Familiarity with Microsoft Azure DevOps mindset focus on building internal tools and automation to support developers and release teams

Lead Web Developer BayOne Solutions I Multiple Global Locations (Remote) Position Overview BayOne Solutions is seeking an exceptional Lead Django Developer to lead our technology initiatives and drive the development of scalable, enterprise-grade web applications. This role is critical to leading our development team while architecting and implementing robust Django-based solutions that will transform our core business processes and enhance operational efficiency. As our Lead Django Developer, you will lead technical architecture decisions, mentor development teams, and build sophisticated web applications that serve Fortune 500 clients. This position offers the opportunity to work with cutting-edge technologies while establishing technical standards and best practices that will define the future of our development platform. Key Responsibilities Technical Leadership & Architecture (35%) Lead the design and implementation of scalable Django web applications and RESTfuI API services Establish technical architecture standards, coding practices, and development workflows for the team Make critical technology decisions regarding system integration patterns and deployment strategies Conduct code reviews and ensure adherence to best practices, security standards, and performance optimization Collaborate with cross-functional teams to translate business requirements into technical specifications Full-Stack Development & Implementation (30%) Develop and maintain complex Django applications with robust backend logic and database management Build responsive front-end interfaces using HTML, CSS, JavaScript, Bootstrap, and modern frameworks Implement comprehensive REST API solutions with proper authentication, validation, and error handling Design and optimize database schemas for PostgreSQL, Snowflake, and other relational and high performance databases Integrate third-party services and APIs to enhance application functionality Team Management & Mentorship (20%) Provide technical guidance and mentorship to junior and mid-level developers Lead daily standups, sprint planning, and technical discussions Establish development processes that ensure code quality, testing standards, and deployment reliability Foster a collaborative environment that encourages knowledge sharing and continuous learning Coordinate with project managers and stakeholders to ensure timely delivery of technical milestones DevOps & Deployment (15%) Implement CI/CD pipelines and automated deployment processes using Azure DevOps and containerization Manage application deployment on cloud platforms including Azure and AWS Establish monitoring, lopping, and performance optimization strategies Ensure application security, scalability, and high availability across production environments Implement Docker containerization and orchestration for efficient deployment workflows Required Qualifications Education & Experience Bachelors degree in Computer Science, Information Technology, or related technical field 4+ years of hands-on experience in Django development and Python programming Proven track record leading development teams and managing complex web application projects Experience working with enterprise clients and delivering production-grade applications Technical Skills Backend Development: Expert-level Django and Python proficiency with deep understanding of MVT architecture Database Management: Advanced experience with PostgreSQL, Snowflake, and other relational and hiph performance database optimization techniques API Development: Strong background in REST API design, implementation, and integration Frontend Technologies: Proficiency in HTML, CSS, JavaScript, Bootstrap, and modern frontend frameworks Cloud & DevOps: Experience with Azure DevOps, Docker, and cloud deployment strategies Version Control: Advanced Git workflow management and collaborative development practices Specialized Experience Experience with real-time data processing and metadata-driven application development Background in building dynamic dashboards and data visualization interfaces Knowledge of session management, authentication systems, and security best practices Experience with batch processing, automated reporting, and business intelligence integration Understanding of microservices architecture and API gateway patterns Preferred Qualifications Masters degree in Computer Science or related field Experience with Azure Cognitive Services and AI service integration Background in developing applications with computer vision and OCR capabilities Knowledge of Power BI integration and business analytics platforms Experience with Flask framework and polyglot development environments Familiarity with Agile methodologies and project management tools Application Process We are looking for candidates who can start immediately and contribute to our fast-paced, innovative environment. Please submit your resume along with examples of Django applications youve developed, particularly those involving complex database design, API integration, or team leadership experience. Equal Opportunity Employer: Bayone Solutions is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. This position o[fers an exceptional opportunity to lead technical innovation while building enterprise-grade applications and mentoring the next generation o[deveIopers. About BayOne Solutions BayOne Solutions is a minority-owned Technology and Talent Solutions Partner that has appeared on the Inc. 5000 list four times and the San Francisco Business Times Fast 100 list five times. We are committed to diversity, innovation, and building human-centric technology solutions that empower businesses and individuals alike. ",

Position Overview BayOne Solutions is seeking an exceptional AI/ML Engineer to join our innovative technology initiatives that will revolutionize talent acquisition through intelligent automation. This role is critical to developing and implementing cutting-edge AI/ML solutions that will transform core business processes and drive operational excellence. As our AI/ML Engineer, you will architect and deploy sophisticated machine learning models, implement generative AI solutions, and build multimodal AI systems that transform how we connect talent with opportunities. This position offers the opportunity to work with Fortune 500 clients while building scalable AI solutions that will define the future of our technology platform. Key Responsibilities AI/ML Model Development & Implementation (40%) Design and implement advanced machine learning algorithms for candidate-job matching, utilizing semantic understanding and behavioral prediction models Develop natural language processing solutions for job description parsing, candidate profile analysis, and automated content generation Build and optimize recommendation engines that intelligently match candidates to opportunities based on skills, experience, and cultural fit Create predictive models for recruitment outcomes, including candidate success probability and time-to-fill optimization Implement anomaly detection systems for candidate screening and quality assurance Generative AI & Large Language Models (25%) Develop and fine-tune large language models (LLMs) for recruitment-specific applications including automated job description generation, candidate communication, and interview preparation materials Implement RAG (Retrieval-Augmented Generation) systems for intelligent document processing and candidate information extraction Build conversational AI systems for candidate pre-screening, interview scheduling, and engagement campaigns Create prompt engineering solutions and implement advanced generative AI workflows using GPT, LLaMA, and other foundation models Develop multimodal AI applications that process text, voice, and structured data for comprehensive candidate assessment Data Pipeline & Integration (20%) Design and implement robust data pipelines for processing candidate profiles, job descriptions, and recruitment metrics Build ETL processes for integrating multiple data sources including internal systems, critical platforms, and external APIs Develop real-time data processing systems for candidate sourcing and matching operations Implement data quality monitoring and validation systems ensuring high-quality inputs for ML models Create scalable data architectures supporting AI model training, inference, and continuous learning Platform Integration & Deployment (15%) Integrate AI/ML models with the Django-based Recruitment 2.0 platform through RESTfuI APIs and microservices architecture Deploy models to production environments using containerization (Docker) and cloud platforms (Azure/AWS) Implement A/B testing frameworks for model performance evaluation and continuous improvement Build monitoring and alerting systems for model performance, drift detection, and system health Collaborate with full-stack developers to ensure seamless integration of AI capabilities into user- facing applications Required Qualifications Education & Experience Bachelors degree in Computer Science, Data Science, Machine Learning, or related technical field 2+ years of hands-on experience in machine learning, deep learning, and AI model development Proven track record developing and deploying AI/ML solutions in production environments Experience working with enterprise clients and understanding business requirements for AI applications Technical Skills Programming Languages: Expert-level Python proficiency; experience with C++, SQL, and web technologies ML/AI Frameworks: Advanced experience with TensorFlow, PyTorch, Keras, scikit-learn, and Huggin Face Transformers Generative AI & LLMs: Hands-on experience with GPT models, fine-tuning techniques, prompt engineering, and foundation models NLP & Text Processing: Strong background in natural language processing, text classification, named entity recognition, and semantic analysis Data Processing: Proficiency with NumPy, Pandas, and large-scale data processing frameworks Cloud & DevOps: Experience with Azure/AWS, Docker, Git, and CI/CD pipelines for ML model deployment Databases: Working knowledge of SQL databases, NoSQL systems, and vector databases for AI applications Specialized Experience Experience with multimodal AI systems processing text, audio, and structured data Background in recommendation systems, matching algorithms, and information retrieval Knowledge of automated assessment systems and candidate evaluation methodologies Experience with real-time AI applications and low-latency model serving Understanding of bias detection and fairness in AI systems, particularly for human-oriented applications Preferred Qualifications Masters degree in Machine Learning, AI, or related field Background in developing Al-powered applications for complex business processes Knowledge of federated learning and distributed AI system architectures Experience with document processing, OCR, and information extraction systems Familiarity with enterprise software integration patterns and API development Application Process We are looking for candidates who can start immediately and contribute to our fast-paced, innovative environment. Please submit your resume along with examples of AI/ML projects youve developed, particularly those involving NLP, generative AI, or recommendation systems. Equal Opportunity Employer: Bayone Solutions is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. This position o[fers an exceptional opportunity to shape the[uture of recruitment technology while working with cutting-edge AI systems and enterprise clients. Join us in building the next generation o[talent solutions. ",

PS- Global Competency Center Hewlett Packard Enterprise Job Title - Lead Solutions Architect - AI Infrastructure & Private Cloud Job Description: We are seeking an experienced Lead Solutions Architect with deep expertise in AI/ML infrastructure , High Performance Computing (HPC) , and container platforms to join our dynamic team focused on delivering HPE Private Cloud AI and Enterprise AI Factory Solutions . This role is instrumental in architecting, deploying, and optimizing private cloud environments that leverage HPE s co-developed solutions with NVIDIA, as well as validated HPE reference architectures, to support enterprise-grade AI workloads at scale. The ideal candidate will bring strong technical expertise in AI infrastructure, container orchestration platforms, and hybrid cloud environments, and will play a key role in delivering scalable, secure, and high-performance AI platform solutions powered by HPE GreenLake and NVIDIA AI Enterprise technologies. Key Responsibilities: Leadership and Strategy: Provide delivery assurance and serve as the lead design authority to ensure seamless execution of Enterprise grade container platform including Red Hat OpenShift and SUSE Rancher, HPE Private Cloud AI and HPC/AI solutions, fully aligned with customer AI/ML strategies and business objectives. Align solution architecture with NVIDIA Enterprise AI Factory design principles, including modular scalability, GPU optimization, and hybrid cloud orchestration. Oversee planning, risk management, and stakeholder alignment throughout the project lifecycle to ensure successful outcomes. Solution Planning and Design: Architect and optimize end-to-end solutions across container orchestration and HPC workload management domains, leveraging platforms such as Red Hat OpenShift, SUSE Rancher, and/or workload schedulers like Slurm and Altair PBS Pro. Ensure seamless integration of container and AI platforms with the broader software ecosystem, including NVIDIA AI Enterprise, as well as open-source DevOps, AI/ML tools, and frameworks. Opportunity assessment: Lead technical responses to RFPs, RFIs, and customer inquiries, ensuring alignment with business and technical requirements. Conduct proof-of-concept (PoC) engagements to validate solution feasibility, performance, and integration within customer environments. Assess customer infrastructure and workloads to recommend optimal configurations using validated reference architectures from HPE and strategic partners such as Red Hat, NVIDIA, SUSE, along with components from the open-source ecosystem. Innovation and Research: Stay current with emerging technologies, industry trends, and best practices across HPC, Kubernetes, container platforms, hybrid cloud, and security to inform solution design and innovation. Customer-centric mindset: Act as a trusted advisor to enterprise customers, ensuring alignment of AI solutions with business goals. Translate complex technical concepts into value propositions for stakeholders Team Collaboration: Collaborate with cross-functional teams, including subject matter experts in infrastructure components such as HPE servers, storage, networking and data science teams to ensure cohesive and integrated solution delivery. Mentor technical consultants and contribute to internal knowledge sharing through tech talks and innovation forums. Required Skills: 1. HPC & AI Infrastructure Extensive knowledge of HPC technologies and workload scheduler such as Slurm and/or Altair PBS Pro, Proficient in HPC cluster management tools, including HPE Cluster Management (HPCM) and/or NVIDIA Base Command Manager. Experience with HPC cluster managers like HPE Cluster Management (HPCM) and/or NVIDIA Base Command Manager. Good understanding with high-speed networking stacks (InfiniBand, Mellanox) and performance tuning of HPC components. Solid grasp of high-speed networking technologies, such as InfiniBand and Ethernet. 2. Containerization & Orchestration Extensive hands-on experience with containerization technologies such as Docker, Podman, and Singularity Proficiency with at least two container orchestration platforms: CNCF Kubernetes, Red Hat OpenShift, SUSE Rancher (RKE/K3S), Canonical Charmed Kubernetes. Strong understanding of GPU technologies, including the NVIDIA GPU Operator for Kubernetes-based environments and DCGM (Data Center GPU Manager) for GPU health and performance monitoring. 3.Operating Systems & Virtualization Extensive experience in Linux system administration, including package management, boot process troubleshooting, performance tuning, and network configuration. Proficient with multiple Linux distributions, with hands-on expertise in at least two of the following: RHEL, SLES, and Ubuntu. Experience with virtualization technologies, including KVM and OpenShift Virtualization, for deploying and managing virtualized workloads in hybrid cloud environments. 4. Cloud, DevOps & MLOps Solid understanding of hybrid cloud architectures and experience working with major cloud platforms in conjunction with on-premises infrastructure. Familiarity with DevOps practices, including CI/CD pipelines, infrastructure as code (IaC), and microservices-based application delivery. Experience integrating and operationalizing open-source AI/ML tools and frameworks, supporting the full model lifecycle from development to deployment. Good understanding of cloud-native security, observability, and compliance frameworks, ensuring secure and reliable AI/ML operations at scale. 5. Networking & Protocols Strong understanding of core networking principles, including DNS, TCP/IP, routing, and load balancing, essential for designing resilient and scalable infrastructure. Working knowledge of key network protocols, such as S3, NFS, and SMB/CIFS, for data access, transfer, and integration across hybrid environments. 6. Programming & Automation Proficiency in scripting or programming languages such as Python and Bash. Experience automating infrastructure and AI workflows. 7. Soft Skills & Leadership Excellent problem-solving, analytical thinking, and communication skills for engaging both technical and non-technical stakeholders. Proven ability to lead complex technical projects from requirements gathering through architecture, design, and delivery. Strong business acumen with the ability to align technical solutions with client challenges and objectives. Qualifications: Bachelor s/master s degree in computer science, Information Technology, or a related field. Professional certifications in AI Infrastructure, Containers and Kubernetes are highly desirable such as RHCSA, RHCE, CNCF certifications (CKA, CKAD, CKS), NVIDIA-Certified Associate - AI Infrastructure and Operations Typically, 8-10 years of hands-on experience in architecting and implementing HPC, AI/ML, and container platform solutions within hybrid or private cloud environments, with a strong focus on scalability, performance, and enterprise integration. ",

PS-GCC Hybrid Cloud Delivery Solution Architect - IaC & DevSecOps, Monitoring, and Observability Job Title: Hybrid Cloud Delivery Solution Architect - IaC & DevSecOps, Monitoring, and Observability Location: Bengaluru/Pune Job Type: Full-Time Job Description: We are seeking a Hybrid Cloud Delivery Solution Architect with a focus on Infrastructure as Code (IaC), DevSecOps, and Monitoring & Observability to join our dynamic and fast-growing team. In this role, you will be responsible for designing and implementing innovative cloud-based solutions across hybrid environments, ensuring high levels of performance, security, and observability. You will collaborate with cross-functional teams, including DevOps, security, infrastructure, platform and application development, to deliver modern, scalable, and secure cloud architectures that meet both business and technical objectives. Key Responsibilities: Work with our sales, presales, pursuits, account teams and engage our enterprise customers to understand their business challenges and requirements. Work with senior customer representatives (up to, and including, C-level executives) to advise and guide on the overall solution. Lead the team to implement critical projects, deliver Proof of Concepts (POC), design / build ecosystem on Edge 2 Cloud Engineering, and onboard workloads. On large scale projects, be able to lead a team of Automation and DevOps resources. Identifying opportunities for additional HPE engagements by taking ownership and demonstrating credibility through agreed milestones. Leading and delivering HPE s Edge 2 Cloud engineering solutions into customer environments and ensuring solutions works as specified. Managing stakeholder relationships in the country, across HPE business units, especially GreenLake, Compute, and Services. Managing complex multifunction relationships with senior and executive stakeholder management. Enable growth in Emerging Technologies, solution and develop accelerators, deliver show & tell to stakeholders. Excellent communication, Technical Leadership Skills. Strong consulting skills including interacting with and presenting to senior and technical stakeholders to gain buy-in. Strong facilitation skills to ensure alignment to architectural vision and operating models. Familiar with Scrum, Agile process, and methodology Architect and deliver hybrid cloud solutions leveraging private cloud environments, ensuring seamless integration, security, and scalability. Design and implement Infrastructure as Code (IaC) frameworks using tools like Python, Ansible, Golang, Terraform, CloudFormation to automate infrastructure provisioning and management. Develop and lead DevSecOps practices, integrating security into all stages of the CI/CD pipeline, automating security testing, and ensuring compliance with industry standards. Create and manage monitoring and observability solutions that provide real-time insights into infrastructure and application performance using tools like Prometheus, Grafana, ELK Stack, OpsRamp Work closely with development teams to integrate best practices for logging, tracing, and alerting into cloud-native platform, tool and applications. Collaborate with stakeholders to define requirements, create solution architectures, and lead technical discussions to ensure project success. Optimize cloud environments for cost, performance, security, and availability, leveraging hybrid models where appropriate. Support and guide teams in adopting containerization and orchestration platforms such as Kubernetes, OpenShift and Rancher Lead the creation of detailed technical documentation, including solution designs, implementation guides, and operational procedures. Ensure continuous improvement of delivery processes, focusing on automation, efficiency, and reducing technical debt. Qualifications: Bachelor s degree in computer science, Engineering, or related field (master s degree preferred). 10+ years of experience in solution architecture with a focus on cloud technologies and hybrid environments. Proven experience in Infrastructure as Code (IaC), using tools like Python, Ansible, Golang, Terraform, CloudFormation. Strong understanding of DevSecOps principles, including security automation, vulnerability management, and CI/CD pipelines. Hands-on experience with monitoring and observability tools, including but not limited to Prometheus, Grafana, ELK Stack, OpsRamp Deep knowledge of Kubernetes and container orchestration, with experience deploying and managing production workloads. Strong understanding of networking, security, and identity management within cloud environments. Familiarity with compliance frameworks (e.g., ISO, SOC 2, GDPR) and the ability to design solutions that meet regulatory requirements. Excellent communication, collaboration, and leadership skills to engage technical and non-technical stakeholders. Preferred Skills: Experience with multi-cloud architectures and strategies. Knowledge of serverless architectures and microservices design. Experience with SRE (Site Reliability Engineering) principles and practices. ",

Leadership and Strategy Develop Container platform roadmaps and strategies for growth based on business needs Engage in and enhance the complete service lifecycle from conceptualization and design to implementation and operation Identify the growth path and scalability options of a solution and include these in design activities Solution Design, architecture and Planning Gather requirements, assess technical feasibility, and design integrated Ccontainer solutions that align with business objectives. Architect and optimize the technical solutions to meet the requirements of the customer. Identify the potential challenges and constraints that impact the solution and project plan. Opportunity assessment Respond to the technical sections of RFIs/RFPs and Lead proof-of-concept engagements to a successful conclusion Utilize an effective consultative approach to advance opportunities Innovation and Research Stay abreast of emerging technologies, trends, and industry developments related to Kubernetes, containers, cloud computing, and Security. Develop best practices, Accelerators and Show & Tell for Container platform solutions and integrations. Customer-centric mindset Strong focus on understanding customer business requirements and solving complex cloud technology issues Be the trusted advisor, delight customers, and deliver exceptional customer experiences to drive customer success. Communicate complex technical concepts and findings to non-technical stakeholders Team Collaboration Collaborate with cross-functional teams, including system administrators, developers, data scientist and project managers, to ensure successful project delivery. Understands the roles and effectively engages other teams and resources within the company Mentor and train new team members and lead the way in participation in tech talks, forums, innovation. Performance Optimization and Troubleshooting Troubleshoot and resolve technical issues related to complete solutions. Identify performance bottlenecks and provide remediations. Project Delivery Ability to lead technical projects by gathering the requirements, preparing the architecture / design and executing it end to end. Must be able to bring clarity and drive complex projects involving multiple stakeholders Solid business acumen and ability to converse with client on issues and challenges Qualifications Bachelor s/master s degree in computer science, Information Technology, or a related field Proven experience as a Solutions Architect and Container platform Expert, or similar role, with expertise in designing and implementing complex solutions Red Hat Certified Specialist in Containers and Kubernetes (RHCSA, RHCE), CNCF certification - CKA, CKAD, CKS is preferred Typically, 10 years of experience in delivering complex Container platform projects Technical Skills Container Technologies and Orchestration Platform In-depth knowledge and hands-on experience with containerization technologies like Docker,or Podman In-depth knowledge and hands-on experience with at least two (2) of the container orchestration technologies like CNCF Kubernetes, Red Hat OpenShift, SUSE Rancher RKE/K3S, Canonical charmed kubernetes or HPE AI Essentials Linux Knowledge and experience with Linux System Administration, package management, scheduling, boot procedures/troubleshooting, performance optimization, and networking concepts Good knowledge and hands-on experience with at least two various Linux distributions like RHEL, SLES, Ubuntu, Debian. Virtualization Good knowledge and hands-on experience with virtualization technologies like KVM, OpenShift virtualization Programming Languages Good experience with Programming ike python, Good experience withScripting languages like bash Cloud Platforms Good knowledge and hands-on experience with OpenStack cloud solutions Good Knowledge with any of the public cloud container services- AKS, EKS, GKE Understanding of cloud infrastructure and services for scalable AI deployments. Good understanding of Cloud Security and Observability Storage Indepth knowledge and hands-on experience with CSI drivers Good knowledge of storage concepts - Block,File and/or Object Storage (like Minio) Networks Good knowledge of network protocols like TCP/IP, S3, FTP, NFS, or SMB/CIFS Good knowledge of DNS, TCP/IP, Routing and Load Balancing GPU Knowledge of GPU technologies, NVIDIA GPU operator, NVIDIA vGPU technology ",

JD - Hybrid Cloud Architect. An Enterprise Architect with a extensive experience in digital transformation involved in design, implementation, and optimization of IT solutions Role & Responsibilities Design and implement scalable and resilient architecture solutions for Hybrid cloud (Private cloud Platform, Migrations, Infra automations, Application modernization) aligned with the customer business objectives, industry best practices, and regulatory requirements Provide guidance and leadership on architecture and enterprise architecture best practices and standards. Collaborate with business stakeholders to understand the objectives, requirements, and translate to IT solutions. Analyze the current state and future state of the enterprise architecture and identify gaps, opportunities, and recommendations for improvement. Create and maintain enterprise architecture artifacts as in roadmaps, and frameworks. Evaluate and recommend emerging technologies, methodologies, and solutions that can enhance the solutions. Facilitate and promote the adoption and governance of enterprise architecture principles, policies, and standards across GCC. Qualifications Bachelors degree in Computer Science, Information Systems, Engineering, or related field with 10+ years of relevant experience in enterprise architecture or IT consulting. Demonstrated experience. Certified and proficient in one or more enterprise architecture frameworks, such as TOGAF, FEAF, or Gartner, with proven track record in designing, developing, and implementing enterprise architecture solutions using industry standards and best practices for large-scale and complex organizations Ability to understand enterprise IT landscape and is capable of aligning to organizations vision Knowledgeable of current and emerging technologies, trends, and practices in areas such as cloud computing, data analytics, cybersecurity, and digital transformation. Providing thought leadership to architect next generation solution, providing technical direction around emerging trends and cutting edge technical solutions. Strong leadership, communication, and stakeholder management skills, with the ability to articulate and align the enterprise architecture vision, strategy, and roadmap across the organization. Strong analytical, critical thinking, and problem-solving skills, with the ability to evaluate and compare alternative enterprise architecture options and recommend optimal solutions based on business needs, technical feasibility, and cost-effectiveness. Strong knowledge and experience in technologies platforms (vmware, azure, stack, Nutanix, AWS, GCP), Networking, Storage, Security, Cloud Architectures, Infrastructure automation, Integrations, Databases, Application modernization. Good understanding of Industry vertical based solutions. ",

Job Title : Full Stack Developer - React.js, Python, SQL & NoSQL Location : Bangalore Experience : 4-7 years No. of resource required : 8 Required Skills: Frontend React.js with shadcn, Redux, HTML5, CSS3, tailwind CSS Backend Python, Flask / FastAPI Databases SQL Server, MongoDB API Integration REST APIs Version Control Git, GitHub Testing Jest, PyTest Postman, Swagger Deployment (Plus) Docker, CI/CD, Linux scripting ",

Senior Solution Architect - Database Technology Job Description: We are seeking an experienced Senior Solution Architect specializing in Database Technology, you will be responsible for architecting, designing, and implementing complex database solutions for our enterprise clients. You will leverage your expertise in both relational and non-relational database systems to create scalable, secure, and high-performance solutions that meet our clients business needs. The ideal candidate will have deep technical knowledge of various database platforms, a strong understanding of cloud-based database solutions, and the ability to work closely with stakeholders to ensure optimal architecture decisions. Key Responsibilities: Solution Architecture & Design: Lead the design and implementation of database solutions, considering scalability, performance, availability, and security. Provide expert guidance on the selection and integration of database technologies (relational, NoSQL, cloud-native, etc.) based on client requirements. Design and deliver high-performance, reliable, and secure database architectures tailored to specific business use cases. Develop detailed system architecture blueprints, including data models, database schemas, and integrations with other systems. Consultation & Collaboration: Collaborate with business stakeholders, technical teams, and project managers to understand and translate business requirements into technical solutions. Provide consulting to clients on best practices for database management, optimization, and scaling. Support pre-sales activities, including technical presentations, scoping, and estimating project deliverables. Technology Leadership: Stay up to date with emerging database technologies and trends (e.g., cloud databases, database automation, AI-driven databases) and recommend innovative solutions. Mentor junior architects and developers, ensuring the adoption of best practices and standards across database design and implementation. Lead troubleshooting and performance optimization efforts, ensuring database systems meet or exceed defined service-level agreements (SLAs). Project & Vendor Management: Oversee the successful implementation of database solutions across projects, ensuring alignment with architecture principles, timelines, and budgets. Manage relationships with third-party database vendors and tools, ensuring the effective integration of their solutions into the architecture. Contribute to the development and management of the project roadmap, ensuring timely and cost-effective delivery of solutions. Security & Compliance: Ensure database solutions adhere to industry standards and compliance regulations (e.g., GDPR, HIPAA, SOC 2). Implement data protection measures, including encryption, backup strategies, and disaster recovery planning. Conduct periodic reviews of database security and performance. Required Skills & Experience: Technical Expertise: In-depth experience with relational databases (e.g., Oracle, SQL Server, MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB). Strong understanding of cloud-based database platforms (AWS RDS, Azure SQL Database, Google Cloud SQL, etc.). Expertise in database design, optimization, and scaling for both transactional and analytical workloads. Familiarity with data warehousing, ETL processes, and data integration technologies. Architecture & Solution Design: Proven experience in architecting large-scale, high-performance database systems. Strong knowledge of data modeling, schema design, and database performance tuning. Experience with cloud-native architectures and distributed database systems. Tools & Technologies: Proficiency in database automation, monitoring, and management tools (e.g., Liquibase, Flyway, DBeaver, Prometheus, etc.). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Experience with DevOps pipelines for database deployments and continuous integration/continuous deployment (CI/CD) practices. Leadership & Communication: Strong leadership and mentoring skills, with the ability to guide and inspire cross-functional teams. Excellent communication and presentation skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders. Ability to manage multiple projects simultaneously and effectively prioritize tasks. Certifications: Oracle Certified Architect or other related database certifications. Cloud certifications (AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, etc.). ",

Senior Architect - Application Migration & Modernization Job Description: We are seeking a highly skilled Senior Architect specializing in Application Migration & Modernization to join our team. In this senior-level role, you will be responsible for architecting and overseeing the transformation of complex legacy applications into modern cloud-native architectures. You will work closely with both technical teams and business stakeholders to define migration strategies, modernize application infrastructures, and ensure seamless integration with cloud platforms while optimizing performance, scalability, and security. As a Senior Architect, you will take the lead in driving application migration and modernization initiatives, leveraging industry best practices, cloud technologies, and cutting-edge methodologies to ensure that enterprise applications meet the future demands of digital transformation. Key Responsibilities: Lead Application Migration & Modernization Efforts: Architect end-to-end migration and modernization strategies for legacy applications, ensuring a seamless transition to cloud environments (Public Cloud, Private cloud/Hybrid Cloud platform). Design cloud-native solutions, including microservices, containers, serverless computing, and other modern application architectures. Guide and define migration paths for applications, including rehosting, replatforming, refactoring, and rebuilding strategies based on business and technical requirements. Collaborate with Stakeholders: Work closely with senior business leaders, stakeholders, and clients to understand business objectives and develop tailored migration and modernization strategies. Provide expert consultation to key stakeholders on the technical aspects of application migration, modernization, and optimization. Act as a trusted advisor to senior leadership, offering insights into how cloud migration and modernization can drive business growth and operational efficiency. Technical Leadership & Mentorship: Lead and mentor a team of architects, developers, and engineers to implement cloud-native solutions while ensuring adherence to architectural principles, best practices, and quality standards. Foster a culture of innovation by staying abreast of emerging technologies and continuously exploring new approaches for application modernization. Provide guidance to teams on architectural decisions, ensuring that technical solutions align with organizational goals and industry standards. Migration Strategy & Roadmap Development: Assess existing application portfolios and systems, identifying modernization opportunities and building detailed roadmaps for the migration process. Evaluate the current state of applications, define migration objectives, and design appropriate solutions based on cost, performance, and operational requirements. Drive the selection of tools, platforms, and technologies for application modernization, considering cloud platforms, databases, integration services, and security solutions. Cloud Architecture & Platform Optimization: Design scalable, resilient, and secure cloud architectures for migrated and modernized applications, ensuring high availability, disaster recovery, and performance optimization. Optimize application and infrastructure design for cost efficiency, cloud scalability, and future-proofing, leveraging cloud best practices and tools. Oversee the integration of legacy systems with cloud-native services, databases, and other cloud tools to support modernized architectures. Security & Compliance: Ensure that all migration and modernization initiatives align with security best practices, compliance standards (e.g., GDPR, HIPAA), and organizational risk management policies. Work with security teams to embed robust security controls into applications and infrastructure post-migration. Project Oversight & Execution: Oversee the successful execution of migration projects from design through to deployment, ensuring that deliverables meet timelines, budget, and quality standards. Manage stakeholder expectations and lead technical discussions to resolve issues, make decisions, and drive progress on complex projects. Continuous Improvement & Knowledge Sharing: Act as a change agent, continuously optimizing processes, tools, and methodologies for improved migration efficiency and business outcomes. Share knowledge and promote best practices across the organization to strengthen internal capabilities and support long-term modernization efforts. Required Skills & Experience: Migration & Modernization Expertise: Extensive experience in leading large-scale application migration and modernization initiatives, including cloud adoption, replatforming, refactoring, and re-architecting applications. Proven experience designing cloud-native application architectures, including microservices, containerization (Docker, Kubernetes), and serverless computing. Deep understanding of the challenges and best practices for migrating legacy systems (monolithic architectures, on-premises solutions) to cloud platforms. Knowledge on Full Stack technology (Frontend, backend, Database, Middleware) Cloud Platforms & Technologies: Expert-level knowledge of major cloud platforms (AWS, Azure, Google Cloud) and their respective services, including compute, storage, networking, databases, and DevOps tools. Experience with cloud-native services such as AWS Lambda, Azure Functions, Kubernetes, AWS ECS/EKS, Google Kubernetes Engine (GKE), and cloud databases (RDS, DynamoDB, Cosmos DB, etc.). Hands-on experience with cloud migration tools and frameworks (e.g., AWS Migration Hub, Azure Migrate). Architecture & Solution Design: Strong expertise in designing and implementing distributed systems, microservices architectures, container orchestration, and API-driven integrations. Proficiency in cloud security best practices and designing secure cloud architectures to ensure data protection, identity management, and compliance. Experience with infrastructure-as-code (IaC) frameworks (e.g., Terraform, CloudFormation) to provision and manage cloud environments. Leadership & Communication: Proven leadership skills in managing teams of architects, engineers, and other technical resources, including mentoring and developing talent. Excellent communication skills, with the ability to translate complex technical concepts into understandable terms for stakeholders at all levels of the organization. Ability to influence key decision-makers and align project objectives with business outcomes. Certifications: Cloud certifications such as AWS Certified Solutions Architect - Professional, Microsoft Certified: Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect. Relevant certifications in architecture, IT transformation, and application modernization are a plus. ",

Responsibilities: Design, build, and maintain data pipelines. Must have experience with Databricks. Develop ETL processes for data integration. Build and optimize data warehouses and lakes. Ensure data quality and security. Collaborate with data scientists and analysts. Requirements: Bachelors degree in CS or related field. ML experience/knowledge is required. Experience with SQL, Python, and big data technologies. Proficiency in cloud platforms (AWS, GCP, Azure). Strong problem-solving and communication skills. ",

The Patient Services Representative I (PSR I) represents the face of the company to patients who come in, both as part of their health routine or for insights into life-defining health decisions. The PSR I draws quality blood samples from patients and prepares those specimens for lab testing while following established practices and procedures. The PSR I has direct contact with patients and creates an atmosphere of trust and confidence while explaining procedures to patients and drawing blood specimens in a skillful, safe and accurate manner. The PSR I will demonstrate Leadership Behaviors while focusing on process excellence skills and sensitivity to confidentiality and accuracy to patient information. Under the direction of the area supervisor, perform daily activities accurately and on time. Maintain a safe and professional environment. Performs with confidence, both the forensic and clinical specimen collection and processing duties following established practices and procedures. Maintains required records and documentation. Demonstrates organizational commitment and promotes a positive image to patients, clients, employees and the public in general. Job Requirements: Ability to provide quality, error free work in a fast-paced environment. Ability to work independently with minimal on-site supervision. Excellent phlebotomy skills to include pediatric and geriatric. *Flexible and available based on staffing needs, which includes weekends, holidays, on-call and overtime.* Required Education: High school diploma or equivalent REQUIRED Medical training: medical assistant or paramedic training preferred. Phlebotomy certification preferred (Required in California, Nevada, and Washington). Work Experience: Minimum of 6 months experience REQUIRED. One(+) years phlebotomy experience preferred. Customer service in a retail or service environment preferred. Keyboard/data entry experience a must. Additional Job Details: Employee must be willing to relocate per business needs Shift/TimeZone: 8am-430pm-Monday -Friday Rotational Saturdays 730-1130am Hours Per Week: 37.50 Days: Mo Tu We Th Fr Sa",