Job Description: 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.

Job Summary: We are seeking a skilled QA Automation Engineer proficient in Java and Rest Assured to join our quality assurance team. The ideal candidate will be responsible for designing, developing, and executing automated tests to ensure the reliability and performance of our APIs and web applications. Key Responsibilities: Develop and maintain automated test scripts using Java and Rest Assured for API testing. Collaborate with cross-functional teams to understand application requirements and ensure comprehensive test coverage. Integrate automated tests into CI/CD pipelines to facilitate continuous testing. Analyze test results, identify defects, and work closely with the development team to resolve issues. Maintain and enhance existing test frameworks to improve efficiency and effectiveness. Required Qualifications: Proven experience in QA automation with a strong focus on Java and Rest Assured. Familiarity with testing frameworks such as TestNG or JUnit. Experience with version control systems like Git. Understanding of RESTful APIs and HTTP protocols. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Preferred Qualifications: Experience with other automation tools like Selenium or Postman. Knowledge of BDD frameworks such as Cucumber. Familiarity with CI/CD tools like Jenkins or GitHub Actions. Understanding of Agile/Scrum methodologies.

Job Description: 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. If you'd like any refinements or additional details, let me know!

Position Overview We are looking for a Director of Engineering to manage and expand our office in Gurugram. In this position, you will be responsible for managing teams, leading critical technical initiatives, and cultivating a customer-centric culture. You will ensure seamless collaboration across departments, uphold rigorous security standards, spearhead talent acquisition, manage vendor partnerships, and work closely with key stakeholders. Key Responsibilities Leadership and Team Development: Foster high-performing, motivated engineering teams by cultivating a growth-oriented, collaborative, and supportive environment. Prioritize the professional development of team members. Driving Technical Excellence & Innovation: Lead key technical initiatives in collaboration with the global engineering leadership. Highlight and showcase the team’s achievements within the global organization. Help architecting and reviewing technical solutions, actively participating in the RFP process to craft compelling proposals. Develop & grow Centers of Excellence (COEs) ensuring alignment with market trends and customer needs. Customer-Centric Approach: Collaborate with product and customer-facing teams to deliver impactful solutions tailored to customer needs. Embed a customer-first mindset across all levels of the organization. Operational Effectiveness: Oversee day-to-day operations, emphasizing timely, high-quality execution. Establish performance metrics and ensure the team consistently meets or exceeds expectations. Talent Acquisition and Retention: Partner with the People & Talent team to attract, hire, and retain top engineering professionals. Provide opportunities for career growth to nurture and retain talent. Vendor and Partner Management: Oversee relationships with external vendors and partners. Ability to collaborate seamlessly with global teams across multiple time zones. Experience Required Experience: A minimum of 15 years in engineering, including at least 5 years in a senior leadership role (e.g., Director of Engineering or Senior Engineering Manager), preferably within Product engineering or Services industry. Technical Expertise: Deep knowledge of software engineering and leading teams for Java, Mobility, Devops, Automation, architecture, and distributed systems. Proficiency in cloud platforms (AWS, GCP, or Azure), API development, data security, and scaling complex engineering systems. Leadership Skills: Demonstrated success in building and leading high-performing, cross-functional teams. Committed to fostering an inclusive, collaborative, and growth-oriented team culture. Customer-Centric Mindset: Strong focus on delivering solutions tailored to customer needs, with the ability to gather and integrate customer insights into engineering practices. Execution Excellence: Proven track record of managing complex technical projects involving multiple stakeholders, from ideation to delivery, utilizing Agile methodologies. Vendor and Stakeholder Management: Extensive experience in managing external vendors and stakeholders, with strong negotiation skills and a focus on vendor performance optimization. Communication Skills: Exceptional communication and influencing skills, capable of engaging senior stakeholders across global organizations. Education: A bachelor's degree in Computer Science, Engineering, or a related field is required; a master’s degree

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 Bachelor's 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 Master's 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 you've 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.

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 Bachelor's 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 Master's 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 you've 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.

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.

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 Bachelor's 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.

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

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.

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.).

The candidate should be able to work independently and lead conversations between core infra and rest of the IT teams, review new product offerings from customer perspective. Should be able to develop scalable, secure, and cost-efficient cloud architectures tailored to business needs. Enterprise Infra Understanding Good understanding of Enterprise Networking Architecture, Good understanding from Enterprise Infra perspective (Compute, Storage, Network, Security, observability, Resiliency – HA – Backup - DR) Good understanding of Private Cloud, Public and Hybrid Cloud infrastructure strategy. Understand the customer landscape of Hybrid Cloud Environment ~ AWS, Azure and On Prem. Basic Understanding of PCE - Not necessarily having hands on deploying PCE. This is not a Day 1 or Day 2. Architecting and Design Ability to Design and Architecture multi-cloud, infra with right hyperscale for hybrid cloud. Design scalable, secure, resilient, and cost-efficient cloud architectures as per business requirements. Establish processes, policies, for managing Infra (Design, Build and Implement). Migrations & Re-Patriations Plan, schedule, and conduct migrations, re-patriation. Lead a team to execute the solution which can be repatriation, migration, build, etc. Optimizations Have the ability to understand the billing from PCE and the cloud. Plan Audits and Optimization efforts to reduce cloud spending. Advise on using RI, SP or spot. Able to recommend and solution to optimise the operating costs for the customer. Enhance app and infra performance Security and Compliance Ensuring Cloud environments adhere to industry security standards and compliance requirements. Reporting and Communication Ability to prepare MIS and status reports to senior management. Able to document the details clearly on technical and process aspect. Have the business acumen to grow engagement by working with the customer, HPE sales and delivery teams. Skills Required: Architecting knowledge Repatriation and migration PCE and VMWARE, NSX-T, Backup Solutions-Veeam, OpsRamp GL Metering Azure and AWS understanding Communication skills Pursuit Experience

Job Title : Data Analyst (Power BI / Data Visualization Specialist) Job Description : We are seeking an experienced Data Analyst with a strong background in designing dashboards, reports, and KPIs to support data-driven decision-making. The ideal candidate will have hands-on expertise in Power BI, SQL, and dashboard scripting platforms like PLX, with a proven ability to transform complex data into actionable business insights. Key Responsibilities : Design and deploy interactive dashboards to visualize KPIs, sales trends, and customer engagement metrics. Develop custom reports and visualizations using Power BI, PLX Dashboard/Script, and SQL. Manage Power BI Server, On-premise Gateways, and production Workspaces to ensure optimal performance. Perform data modelling, create DAX expressions, and maintain datasets aligned with business objectives. Migrate existing reports (e.g., Tableau) to Power BI and integrate internal applications using APIs like Salesforce Connect. Simplify complex technical information for stakeholders and ensure accuracy, usability, and standardization of all reports. Required Skills : Power BI (Desktop & Service), DAX, PLX Dashboard/Script SQL, MySQL Strong understanding of KPI development and data storytelling Experience with report migration and server management Excellent communication and stakeholder collaboration skills