316 Google Cloud Jobs - Page 9

Develop and implement machine learning models and algorithms. Analyze and preprocess data for training and testing ML models. Integrate AI/ML solutions into existing systems and workflows.

Design, build, and maintain our containerization and orchestration solutions using Docker and Kubernetes. Automate deployment, monitoring, and management of applications using Ansible and Python. Collaborate with development teams to ensure seamless integration and deployment. Implement and manage CI/CD pipelines to streamline software delivery. Monitor system performance and troubleshoot issues to ensure high availability and reliability. Ensure security best practices for containerized environments. Provide support and guidance for development and operations teams. Required Skills and Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a DevOps Engineer or in a similar role. Extensive experience with Docker and Kubernetes. Strong proficiency in Python and Ansible. Solid understanding of CI/CD principles and tools. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Excellent problem-solving and troubleshooting skills. Strong communication and teamwork skills. Preferred Qualifications: Experience with infrastructure-as-code tools like Terraform. Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Familiarity with Agile development methodologies. Experience with containerization technologies like Docker and Kubernetes.

Servicenow Developer ITSM Secondary Skills - MS Azure Certifications (if any) Job description ServiceNow Administrator Overview We are seeking a skilled ServiceNow Developer with 10-12 years of experience to join our dynamic team. The ideal candidate will have a strong background in, configuration, day-to-day administration, manage and optimize ServiceNow platform Responsibilities Set-up, configuration and day-to-day administration of the ServiceNow platform including conducting changes to the platform e.g., overseeing integration with new systems Responsible for error identification and remediation and ensuring that system and database management conforms to policy and standards Provides support to end user, support teams and suppliers (including adding users) that are involved in IT Service Management Manages lifecycle of change of Software versions of ServiceNow, plans and implements upgrades and conversions Manages instance security including password standards, user/group access, access control rules and auditing Monitors and maintains the agreed levels of availability, security, performance and operational capability of ServiceNow Day-to-day management of the product service backlogactively limiting work in progress, removing blockers and prioritising the flow of work to ensure that the user need is paramount in all delivery Proactive identification and execution of platform enhancements to maximise value, inputting into roadmaps and continual improvement plans for the platform Advanced automation including workflow and system integration Technical governance to ensure a seamless user experience that aligns with the platform design strategy. Responsible for technical documentation, compliance Experience and Qualification Bachelor s degree in computer science, Information Technology, or a related field (or equivalent experience). Minimum 5 years of experience as a ServiceNow Administrator. Strong knowledge of ServiceNow administration, configuration, and customization. Experience with scripting (JavaScript, Glide, REST/SOAP APIs). Understanding of ITSM and ITIL frameworks. ServiceNow Admin certification Knowledge of Azure, Google Cloud, LDAP, SSO, and Active Directory integrations. Strong problem-solving, analytical, and communication skills. Experience with Agile or Scrum methodologies.

We are looking for a highly skilled Engineer with a solid experience of building Bigdata, GCP Cloud based marketing ODL applications. The Engineer will play a crucial role in designing, implementing, and optimizing data solutions to support our organizations data-driven initiatives. This role requires expertise in data engineering, strong problem-solving abilities, and a collaborative mindset to work effectively with various stakeholders. Technical Skills 1. Core Data Engineering Skills Proficiency in using GCPs big data tools like: BigQuery: For data warehousing and SQL analytics. Dataproc: For running Spark and Hadoop clusters. Expertise in building automated, scalable, and reliable pipelines using custom Python/Scala solutions or Cloud Data Functions . 2. Programming and Scripting Strong coding skills in SQL, and Java. Familiarity with APIs and SDKs for GCP services to build custom data solutions. 3. Cloud Infrastructure Understanding of GCP services such as Cloud Storage, Compute Engine, and Cloud Functions. Familiarity with Kubernetes (GKE) and containerization for deploying data pipelines. (Optional but Good to have) 4. DevOps and CI/CD Experience setting up CI/CD pipelines using Cloud Build, GitHub Actions, or other tools. Monitoring and logging tools like Cloud Monitoring and Cloud Logging for production workflows. Soft Skills 1. Innovation and Problem-Solving Ability to think creatively and design innovative solutions for complex data challenges. Experience in prototyping and experimenting with cutting-edge GCP tools or third-party integrations. Strong analytical mindset to transform raw data into actionable insights. 2. Collaboration Teamwork: Ability to collaborate effectively with data analysts, and business stakeholders. Communication: Strong verbal and written communication skills to explain technical concepts to non-technical audiences. 3. Adaptability and Continuous Learning Open to exploring new GCP features and rapidly adapting to changes in cloud technology.

Role & responsibilities Key Responsibilities: Provide production support for SQL Server databases, ensuring high availability and performance. Develop and implement change requests for SQL Server databases based on business requirements. Develop and maintain stored procedures and user-defined functions. Collaborate with cross-functional teams to understand and address data-related issues. Optimize and tune SQL queries to improve performance. Maintain and update database documentation. Utilize Informatica for ETL processes and data integration tasks. Troubleshoot and resolve database-related issues promptly. Ensure data integrity and security across all database systems. Qualifications we seek in you! Minimum Qualifications: Bachelors degree in computer science, Information Technology, or a related field. Rich experience in SQL Server development. Good experience with Informatica. Strong knowledge of SQL programming and database management. Experience with performance tuning and query optimization. Familiarity with ETL processes and data integration using Informatica. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Skills: Experience with Python is a plus. Knowledge of data warehousing concepts. Familiarity with Agile methodologies. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

The Role : The Knowledge Engineering team are seeking a Lead Knowledge Engineer to support our strategic transformation from a traditional data organization into a next generation interconnected data intelligence organization. The Team : The Knowledge Engineering team within data strategy and governance helps to lead fundamental organizational and operational change driving our linked data, open data, and data governance strategy, both internally and externally. The team partners closely with data and software engineering to envision and build the next generation of data architecture and tooling with modern technologies. The Impact : Knowledge Engineering efforts occur within the broader context of major strategic initiatives to extend market leadership and build next-generation data, insights and analytics products that are powered by our world class datasets. Whats in it for you : The Lead Knowledge Engineer role is an opportunity to work as an individual contributor in creatively solving complex challenges alongside visionary leadership and colleagues. Its a role with highly visible initiatives and outsized impact. The wider division has a great culture of innovation, collaboration, and flexibility with a focus on delivery. Every person is respected and encouraged to be their authentic self. Responsibilities : Develop, implement, and continue to enhance ontologies, taxonomies, knowledge graphs, and related semantic artefacts for interconnected data, as well as topical/indexed query, search, and asset discovery Design and prototype data software engineering solutions enabling to scale the construction, maintenance and consumption of semantic artefacts and interconnected data layer for various application contexts Provide thought leadership for strategic projects ensuring timelines are feasible, work is effectively prioritized, and deliverables met Influence the strategic semantic vision, roadmap, and next-generation architecture Execute on the interconnected data vision by creating linked metadata schemes to harmonize semantics across systems and domains Analyze and implement knowledge organization strategies using tools capable of metadata management, ontology management, and semantic enrichment Influence and participate in governance bodies to advocate for the use of established semantics and knowledge-based tools Qualifications: Able to communicate complex technical strategies and concepts in a relatable way to both technical and non-technical stakeholders and executives to effectively persuade and influence 5+ years of experience with ontology development, semantic web technologies (RDF, RDFS, OWL, SPARQL) and open-source or commercial semantic tools (e.g., VocBench, TopQuadrant, PoolParty, RDFLib, triple stores); Advanced studies in computer science, knowledge engineering, information sciences, or related discipline preferred 3+ years of experience in advanced data integration with semantic and knowledge graph technologies in complex, enterprise-class, multi-system environment(s); skilled in all phases from conceptualization to optimization Programming skills in a mainstream programming language (Python, Java, JavaScript), with experience in utilizing cloud services (AWS, Google Cloud, Azure) is a great bonus Understanding of the agile development life cycle and the broader data management discipline (data governance, data quality, metadata management, reference and master data management)

About the Role: Grade Level (for internal use): 11 The Role: Lead Software Engineering The Team: Our team is responsible for the architecture, design, development, and maintenance of technology solutions to support the Sustainability business unit within Market Intelligence and other divisions. Our program is built on a foundation of inclusivity, enablement, and adaptability and respect which fosters an environment of open-communication and trust. We take pride in each team members accountability and responsibility to move us forward in our strategic initiatives. Our work is collaborative, we work transparently with others within our business unit and others across the entire organization. The Impact: As a Lead, Cloud Engineering at S&P Global, you will be instrumental in streamlining the software development and deployment of our applications to meet the needs of our business. Your work ensures seamless integration and continuous delivery, enhancing the platform's operational capabilities to support our business units. You will collaborate with software engineers and data architects to automate processes, improve system reliability, and implement monitoring solutions. Your contributions will be vital in maintaining high availability security and performance standards, ultimately leading to the delivery of impactful, data-driven solutions. Whats in it for you: Career Development: Build a meaningful career with a leading global company at the forefront of technology. Dynamic Work Environment: Work in an environment that is dynamic and forward-thinking, directly contributing to innovative solutions. Skill Enhancement: Enhance your software development skills on an enterprise-level platform. Versatile Experience: Gain full-stack experience and exposure to cloud technologies. Leadership Opportunities: Mentor peers and influence the products future as part of a skilled team. Key Responsibilities: Design and develop scalable cloud applications using various cloud services. Collaborate with cross-functional teams to define, design, and deliver new features. Implement cloud security best practices and ensure compliance with industry standards. Monitor and optimize application performance and reliability in the cloud environment. Troubleshoot and resolve issues related to our applications and services. Stay updated with the latest cloud technologies and trends. Manage our cloud instances and their lifecycle, to guarantee a high degree of reliability, security, scalability, and confidence at any given time. Design and implement CI/CD pipelines to automate software delivery and infrastructure changes. Collaborate with development and operations teams to improve collaboration and productivity. Manage and optimize cloud infrastructure and services. Implement configuration management tools and practices. Ensure security best practices are followed in the deployment process. What Were Looking For: Bachelor's degree in Computer Science or a related field. Minimum of 10+ years of experience in a cloud engineering or related role. Proven experience in cloud development and deployment. Proven experience in agile and project management. Expertise with cloud services (AWS, Azure, Google Cloud). Experience in EMR, EKS, Glue, Terraform, Cloud security, Proficiency in programming languages such as Python, Java, Scala, Spark Strong Implementation experience in AWS services (e.g. EC2, ECS, ELB, RDS, EFS, EBS, VPC, IAM, CloudFront, CloudWatch, Lambda, S3. Proficiency in scripting languages such as Bash, Python, or PowerShell. Experience with CI/CD tools like Azure CI/CD. Experience in SQL and MS SQL Server. Knowledge of containerization technologies like Docker, Kubernetes. Nice to have - Knowledge of GitHub Actions, Redshift and machine learning frameworks Excellent problem-solving and communication skills. Ability to quickly, efficiently, and effectively define and prototype solutions with continual iteration within aggressive product deadlines. Demonstrate strong communication and documentation skills for both technical and non-technical audiences.

Immediate Openings on Cloud Architect PAN INDIA- Contract Working Mode: Hybrid Experience : 6+ Years Skill : Cloud Architect Location : PAN INDIA Notice Period: Immediate Employment Mode: Contract to Hire Job Description We are seeking a highly skilled Cloud Architect to lead the design and implementation of cloud-based solutions that drive innovation, scalability, and cost-efficiency for our organization. The ideal candidate will possess deep knowledge and hands-on experience with major cloud platforms (such as AWS, Microsoft Azure, or Google Cloud) and will play a pivotal role in defining and executing cloud strategies, infrastructure design, and deployment methodologies.

Job Summary : As a Senior Technical Architect, you will be responsible for designing and implementing robust, scalable, and high-performance AI and Generative AI solutions. You will work closely with crossfunctional teams to ensure that our technical architecture aligns with business goals and industry best practices. Key Responsibilities: Design and develop AI and Generative AI architecture solutions that meet business requirements. Be hands-on in coding, prototyping, and testing solutions. Collaborate with stakeholders to understand their needs and translate them into technical specifications. Apply AI solutions across various industries and business functions Develop versatile AI models that can be adapted for multiple use cases • Lead the technical design and development of AI/Gen AI-powered projects. Integrate and enhance existing tools and systems to leverage AI/Gen AI capabilities Develop and implement APIs for seamless integration with legacy and SaaS applications • Ensure compliance with industry standards and best practices during integration Ensure the scalability, performance, and security of solutions. Provide technical guidance and mentorship to development teams. Conduct code reviews and ensure adherence to best practices and coding standards. Stay updated with the latest industry trends and technologies. Troubleshoot and resolve technical issues as they arise. Document technical designs and processes. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as a Technical Architect or similar role. Strong knowledge of AI, Machine Learning, and Generative AI technologies. Proficiency in one or more of following programming languages Java, C++, Python, R Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work effectively in a collaborative team environment. Strong domain understanding Additional Qualifications: Experience with microservices architecture. Knowledge of DevOps practices and tools. Certification in relevant technologies or frameworks. Experience with Natural Language Processing (NLP) and Computer Vision.

Position Summary The AI Advisory Architect at HCLTech AI and Cloud Native Labs will need to have comprehensive and in-depth knowledge of Google AI and Cloud offerings. The role requires expertise in creating effective training programs and their content, manage training of candidates in cohorts, deliver high quality trainings on AI and related technologies and their applications to candidates from diverse backgrounds including developers and sales personnel. You will be an expert technical resource comfortable in engaging and influencing HCL leadership, clients, and technologists by leading in technical discussions on AI and GenAI. Key Responsibilities Technical Leadership Stay abreast of the latest developments in AI technologies and methodologies. Demonstrate thought leadership when presenting AI and GenAI concepts and technologies in trainings and to client leadership effectively with audience from wide backgrounds. Lead technical discussions on AI and Gen AI to advise and influence HCL leadership and clients. Collaborate with global peers from Google and other partner ecosystems (Intel, NVIDIA etc.) on joint technical projects. Contribute to the technical delivery of projects, ensuring a high quality of work that adheres to best practices, bring innovative approaches, and meets client expectations. Service Delivery and Innovation Provide consulting and advisory services to Clients and Internal stakeholders about AI and Gen AI technologies. Design training programs on GenAI concepts and technologies and create their content. Plan, Manage and Execute trainings in cohorts and effectively present AI concepts and technologies to wide range of audiences according to their objectives. Provide expert training to HCL employees as well as external clients, focusing on practical applications of AI in real-world scenarios. Educate sales teams on AI concepts and technologies, enabling them to better understand and sell AI and GenAI solutions. Thought Leadership and Trainings Demonstrate HCL thought leadership with an expert understanding of advanced AI and GenAI solutions in client engagements and trainings. Publish content (whitepapers, blogs, e-books etc.) demonstrating expertise and innovation in the AI and GenAI solutions. Design and develop structure and content for comprehensive programs on AI and related technologies. Manage training cohorts and conduct sessions for training programs on AI and related technologies for audience with diverse backgrounds. Skills and Experience Mandatory Bachelor level technical degree or equivalent experience; Computer Science, Data Science, or Engineering background preferred. Experience: 8+ years in AI and Machine Learning • At least one Google Cloud and AI certifications • Technologies: Good exposure to Python and AI Frameworks like PyTorch, Keras, TensorFlow, Google Generative AI etc. Expert understanding of Google AI and Cloud Offerings and their applications. o Strong foundation in AI concepts and related topics such as AI Governance and Ethics o Exposure Data Engineering skills for preparing data for use in AI solutions and Big Data technologies like Hadoop, Spark etc. Must have experience with designing, developing, testing, deploying, operating, and optimizing AI solutions for wide range of client use cases. Expert communication and presentation skills, capable of presenting and influencing large audiences in training sessions, seminars, and conferences as well as high level executives. Desired The ideal candidate will have a strong background in AI technologies, and a proven track record in coaching, and a broad understanding of cloud technologies. Ability to develop and communicate a strategic vision for AI education and training. Excellent problem-solving skill and ability to work in team environment. Understanding of modern computing paradigms and their applications in AI. Ability to develop and communicate a strategic vision for AI education and training. Be capable of working in projects according to Agile methodologies. Soft Skills and Behavioural Competencies Exemplary communication and leadership skills, capable of inspiring teams and making strategic decisions that align with business goals. Demonstrates a strong customer orientation, innovative problem-solving abilities, and effective crosscultural collaboration. Adept at driving organizational change and fostering a culture of innovation.

Technical Skills: front-end frameworks such as React.js, Angular. Java, Spring boot. PostgreSQL, MySQL, MongoDB, and Redis AWS, Azure, Google Cloud, Docker, Kubernetes RESTful API, microservices architecture, and security protocols. Agile,CI/CD, Git Required Candidate profile React.js, Angular,Java, Springboot.PostgreSQL, MySQL, MongoDB, and Redis. Cloud AWS, Azure, Google Cloud and Docker, Kubernetes RESTful API design, microservices architecture, CI/CD,Agile

HyperBlox is looking for full stack developers who loves developing new platforms and have the attitude to learn & deliver the best solutions. As a full stack developer you will work on latest frameworks and tools in developing the new features for the product. You will be working alongside other developers, collaborating on all the stages of software development. Experience in one or more of Angular, Javascript, HTML5, CSS3, jQuery, Vue, Nodejs, Ruby, MySQL Familiarity in working with REST, XML, JSON, Web sockets, Agile,etc. Understanding Database operations ( SQL and NoSQL databases) 2-6 years of experience in software development Have worked with open source solutions Ability to familiarize with new technologies and frameworks Familiarity with AWS, Google Cloud, Azure, Openstack, etc.

Strong expertise in MySQL database Development. Experience with database performance tuning and query optimization. Knowledge of MySQL features, such as its event scheduler. Proficient in writing complex SQL queries, triggers, and stored procedures Required Candidate profile Exp in monitoring tools (e.g., Percona, Nagios, or MySQL Workbench) xperience with cloud-based database services (e.g., AWS RDS, Google Cloud SQL)

Warm welcome from SP Staffing Services! Reaching out to you regarding permanent opportunity !! Job Description: Exp: 6-12 yrs Location: Hyderabad/Bangalore/Pune/Delhi Skill: GCP Data Engineer - Proficiency in programming languages: Python - Expertise in data processing frameworks: Apache Beam (Data Flow), Kafka, - Hands-on experience with GCP services: Big Query, Dataflow, Composer, Spanner - Knowledge of data modeling and database design - Experience in ETL (Extract, Transform, Load) processes - Familiarity with cloud storage solutions - Strong problem-solving abilities in data engineering challenges - Understanding of data security and scalability - Proficiency in relevant tools like Apache Airflow Interested can share your resume to sangeetha.spstaffing@gmail.com with below inline details. Full Name as per PAN: Mobile No: Alt No/ Whatsapp No: Total Exp: Relevant Exp in GCP: Rel Exp in Big Query: Rel Exp in Composer: Rel Exp in Python: Current CTC: Expected CTC: Notice Period (Official): Notice Period (Negotiable)/Reason: Date of Birth: PAN number: Reason for Job Change: Offer in Pipeline (Current Status): Availability for virtual interview on weekdays between 10 AM- 4 PM(plz mention time): Current Res Location: Preferred Job Location: Whether educational % in 10th std, 12th std, UG is all above 50%? Do you have any gaps in between your education or Career? If having gap, please mention the duration in months/year:

At Gintaa, were redefining how India orders food. With our focus on affordability, exclusive restaurant partnerships, and hyperlocal logistics, we aim to scale across India's Tier 1 and Tier 2 cities. Were backed by a mission-driven team and expanding rapidly now’s the time to join the core tech leadership and build something impactful from the ground up. Job Summary We are looking for an experienced and motivated DevOps Engineer with 5–7 years of hands-on experience designing, implementing, and managing cloud infrastructure—particularly on Google Cloud Platform (GCP) and Amazon Web Services (AWS). The ideal candidate will have deep expertise in infrastructure as code (IaC), CI/CD pipelines, container orchestration, and cloud-native technologies. This role requires strong analytical skills, attention to detail, and a passion for optimizing cloud infrastructure performance and cost across multi-cloud environments. Key Responsibilities Multi-Cloud Infrastructure: Design, implement, and maintain scalable, reliable, and secure cloud infrastructure using GCP services (Compute Engine, GKE, Cloud Functions, Pub/Sub, BigQuery, Cloud Storage) and AWS services (EC2, ECS/EKS, Lambda, S3, RDS, CloudFront). CI/CD & GitOps: Build and manage CI/CD pipelines using GitHub/GitLab Actions, artifact repositories, and enforce GitOps practices across both GCP and AWS environments. Containerization & Serverless: Leverage Docker, Kubernetes (GKE/EKS), and serverless architectures (Cloud Functions, AWS Lambda) to support microservices and modern application deployments. Infrastructure as Code: Develop and manage IaC using Terraform (or CloudFormation for AWS) to automate provisioning and drift-detection across clouds. Observability & Monitoring: Implement observability tools like Prometheus, Grafana, Google Cloud Monitoring, and AWS CloudWatch for real-time system insights. Security & Compliance: Ensure best practices in cloud security, including IAM policies (GCP IAM + AWS IAM), encryption standards (KMS), network security (VPCs, Security Groups, Firewalls), and compliance frameworks. Service Mesh: Integrate and manage service mesh architectures such as Istio or Linkerd for secure and observable microservices communication. Troubleshooting & DR: Troubleshoot and resolve infrastructure issues, ensure high availability, disaster recovery (GCP Backup + AWS Backup/AWS DR strategies), and performance optimization. Cost Management: Drive initiatives for cloud cost management; use tools like GCP Cost Management and AWS Cost Explorer to suggest optimization strategies. Documentation & Knowledge Transfer: Document technical architectures, processes, and procedures; ensure smooth knowledge transfer and operational readiness. Cross-Functional Collaboration: Collaborate with Development, QA, Security, and Architecture teams to streamline deployment workflows. Required Skills & Qualifications 5–7 years of DevOps/Cloud Engineering experience, with at least 3 years on GCP and 3 years on AWS. Proficiency in Terraform (plus familiarity with CloudFormation), Docker, Kubernetes (GKE/EKS), and other DevOps toolchains. Strong experience with CI/CD tools (GitHub/GitLab Actions) and artifact repositories. Deep understanding of cloud networking, VPCs, load balancing, security groups, firewalls, and VPNs in both GCP and AWS. Expertise in monitoring/logging frameworks such as Prometheus, Grafana, Stackdriver (Cloud Monitoring), and AWS CloudWatch/CloudTrail. Strong scripting skills in Python, Bash, or Go for automation tasks. Knowledge of data backup, high-availability systems, and disaster recovery strategies across multi-cloud. Familiarity with service mesh technologies and microservices-based architecture. Excellent analytical, troubleshooting, and documentation skills. Effective communication and ability to work in a fast-paced, collaborative environment. Preferred Qualifications (Good to Have) Google Professional Cloud Architect Certification and/or AWS Certified Solutions Architect – Professional. Experience with multi-cloud or hybrid cloud setups, including VPN/Direct Connect and Interconnect configurations. Exposure to agile software development, DevSecOps, and compliance-driven environments (e.g., BFSI, Healthcare). Understanding of cost modeling and cloud billing analysis tools. Why Join Gintaa? Be a part of a purpose-driven startup revolutionizing food and local commerce in India. Build impactful, large-scale mobile applications from scratch. Work with a visionary leadership team and dynamic, entrepreneurial culture. Competitive salary and leadership visibility.

Roles and Responsibilities Design, Develop, and Deploy : Develop, deploy, and maintain machine learning models that are not only theoretically sound but also practical and scalable. Our team places a strong emphasis on rapid, trustworthy experimentation for validating models and features. Model Maintenance : Design and build machine learning pipelines optimized for scalability, ensuring seamless model training, evaluation, and deployment. Monitor the performance of machine learning models in real-time using statistical methods, ensuring their efficiency and effectiveness.Implement and manage real-time data systems to handle large data streams efficiently. Technical Expertise : Conduct RD in innovative techniques such as Recommender Systems, Computer Vision, NLP, Generative AI and Causal Inference, pushing the boundaries of practical machine learning applications. Software Development : Develop robust, scalable, and maintainable software solutions for seamless model deployment. CI/CD Pipelines : Set up and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines for automated testing, deployment, and model integration. Collaboration : Work closely with the Product Managers, Platforms and Engineering teams to ensure smooth deployment and integration of ML models into Myntra production systems. Data Management : Utilize big data technologies and data lakes to preprocess and shape raw data for machine learning applications. Code Quality : Write clean, efficient, and maintainable code following best practices. Performance Optimization : Conduct performance testing, troubleshooting, and tuning to ensure optimal model performance. Continuous Learning : Stay up-to-date with the latest advancements in machine learning and technology, sharing insights and knowledge across the organization. Experience Industry Experience: Master's degree in a related technical field with 4+ years of relevant industry experience or Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related technical field with 6+ years of relevant industry experience OR OR Ph.D. in a related field with a thesis in a domain relevant to Myntra's needs (e.g., Recommender Systems, Natural Language Processing). Machine Learning Expertise: At least 4 years of hands-on experience as a Machine Learning Engineer or a similar role. Solid understanding of statistics, particularly as it applies to machine learning, including probability theory, hypothesis testing, and statistical inference. Production Deployment: Proven track record of implementing and scaling machine learning models and pipelines in a production environment. Programming Skills: Strong proficiency in Python or equivalent programming languages for model development. ML Frameworks: Familiarity with leading machine learning frameworks (Keras, TensorFlow, PyTorch) and libraries (scikit-learn). CI/CD Tools: Experience with CI/CD tools and practices. Communication: Excellent verbal and written communication skills. Teamwork Independence: Ability to work collaboratively in a team environment or independently as needed. Mentor team members technically on designing and deploying ML pipelines and services. Workload Management: Strong organizational skills to manage and prioritize tasks, supporting your manager effectively. Preferred Qualifications Strong emphasis on rapid, trustworthy experimentation for validating machine learning models and hypotheses. Hands-on experience with Search and Recommender Systems, Computer Vision, or Forecasting is strongly desired. We value candidates who emphasize practical implementation and scaling of machine learning solutions. Experience with real-time systems and databases like Kafka, Cassandra, Vector Databases, or Bigtable is highly valued. Prior experience with Generative AI techniques earns brownie points. Advanced understanding and experience in Causal Inference earns a lot of brownie points. Strong communication skills, especially in conveying complex technical and statistical concepts to a non-technical audience. Experience with big data technologies like Spark or other distributed computing frameworks. Exceptional candidates are encouraged to apply, even if you don't meet every listed qualification. We're open to hiring individuals who demonstrate outstanding potential. Nice to Have Research Contributions: Publications or presentations in recognized Machine Learning and Data Science journals/conferences. Cloud Services: Proficiency in cloud platforms (AWS, Google Cloud) and an understanding of distributed systems. Generative AI Exposure: Familiarity with Generative AI models. Database Management: Experience with SQL and/or NoSQL databases. ML Orchestration: Knowledge of ML orchestration tools (Airflow, Kubeflow, MLFlow).

Skill & Experience Extensive experience (15+ years) in cloud infrastructure architecture, design, and implementation, with a focus on leading-edge technologies such as AWS, Azure, Google Cloud, etc. Proven leadership experience in managing teams of technical professionals, including architects, engineers, and consultants. Expert knowledge of containerization and container orchestration technologies such as Google Kubernetes Engine (GKE). Experience automating infrastructure provisioning, DevOps, and/or continuous integration/delivery.

Roles and Responsibilities Design, Develop, and Deploy: Create and implement advanced machine learning models and algorithms to tackle complex business challenges across various domains, including Recommender Systems, Search, Computer Vision, Supply Chain Management (SCM), Pricing, Forecasting, Trend and Virality Prediction, Generative AI, and more. Technical Expertise: Demonstrate deep theoretical knowledge and practical expertise in one or more areas, such as Natural Language Processing (NLP), Computer Vision, Recommender Systems, Gen AI and Optimization. Software Development: Develop robust, scalable, and maintainable software solutions for seamless model deployment. CI/CD Pipelines: Set up and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines for automated testing, deployment, and model integration. Model Maintenance: Maintain and optimize machine learning pipelines, including data cleaning, feature extraction, and model training. Collaboration: Work closely with the Platforms and Engineering teams to ensure smooth deployment and integration of ML models into production systems. Data Management: Partner with the Data Platforms team to gather, process, and analyze data crucial for model development. Code Quality: Write clean, efficient, and maintainable code following best practices. Performance Optimization: Conduct performance testing, troubleshooting, and tuning to ensure optimal model performance. Continuous Learning: Stay up-to-date with the latest advancements in machine learning and technology, sharing insights and knowledge across the organization. Qualifications & Experience Industry Experience: 3-5+ years with a Bachelor's degree, or 2+ years with a Masters/Ph.D. in Computer Science, Mathematics, Statistics, or a related field. Machine Learning Expertise: At least 2 years of hands-on experience as a Machine Learning Engineer or a similar role. Production Deployment: Proven experience deploying machine learning solutions into production environments. Programming Skills: Strong proficiency in Python or equivalent programming languages for model development. ML Frameworks: Familiarity with leading machine learning frameworks (Keras, TensorFlow, PyTorch) and libraries (scikit-learn). CI/CD Tools: Experience with CI/CD tools and practices. Communication: Excellent verbal and written communication skills. Teamwork & Independence: Ability to work collaboratively in a team environment or independently as needed. Workload Management: Strong organizational skills to manage and prioritize tasks, supporting your manager effectively. Exceptional candidates are encouraged to apply, even if you don't meet every listed qualification. We're open to hiring individuals who demonstrate outstanding potential. Nice to Have Research Contributions: Publications or presentations in recognized Machine Learning and Data Science journals/conferences. Big Data Technologies: Experience with big data technologies like Spark or other distributed computing frameworks. Cloud Services: Proficiency in cloud platforms (AWS, Google Cloud) and an understanding of distributed systems. Generative AI Exposure: Familiarity with Generative AI models. Database Management: Experience with SQL and/or NoSQL databases. ML Orchestration: Knowledge of ML orchestration tools (Airflow, Kubeflow, MLFlow).

About the Role: We are seeking a skilled and versatile Data Scientist/Software Developer with a strong background in R programming and Shiny app development. This role will involve working on a variety of projects, each with defined objectives and timelines. Successful candidates will be comfortable in a dynamic environment, adapting to different datasets, analytical requirements, and business needs. You will be a key contributor to translating data into actionable insights through the development of robust and user-friendly Shiny applications. Responsibilities: Develop Interactive Shiny Applications: Design, develop, test, and deploy interactive web applications using the R Shiny framework. Focus on creating user-friendly interfaces that effectively present data analysis and insights. R Programming: Utilize strong R programming skills to perform data cleaning, manipulation, analysis, and visualization. This includes implementing statistical models, data mining techniques, and machine learning algorithms as needed. SQL Database Interaction: Write efficient SQL queries to extract, transform, and load data from relational databases. Ensure data integrity and optimal performance for application use. Data Understanding and Interpretation: Work closely with stakeholders to understand their requirements and translate them into robust analytical solutions. Interpret data insights and communicate findings effectively. Code Documentation and Best Practices: Write clean, well-documented, and maintainable code. Adhere to software development best practices, including version control and testing methodologies. Project Management: Manage your time effectively across multiple shorter-term projects. Work independently while keeping stakeholders updated on progress and issues. Problem Solving: Ability to understand business problems and develop data-driven solutions and develop novel approaches, if needed. Collaboration: Work collaboratively with other data scientists, analysts, and business teams as needed. Required Skills & Qualifications: Expertise in R Programming: Proven experience in using R for data manipulation, statistical analysis, and visualization. Minimum of 3-5 years of experience in a relevant technical role. Shiny App Development: Strong understanding and practical experience in developing interactive dashboards and applications using R Shiny. Minimum of 3-5 years of experience in a relevant technical role. SQL Proficiency: Ability to write and optimize SQL queries to interact with relational databases (e.g., PostgreSQL, MySQL, SQL Server). Data Analysis Skills: Ability to perform exploratory data analysis, apply statistical methods, and interpret results. Problem-Solving Aptitude: Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences. Experience with Version Control: Familiarity with Git and GitHub or similar version control systems. Adaptability: Ability to manage multiple projects concurrently and adapt to changing priorities. Remote work: Comfortable working remotely and communicating regularly. Preferred Skills: Experience with other R packages relevant to data analysis and visualization (e.g., dplyr, ggplot2, tidyr). Knowledge of basic statistical modeling and machine learning techniques Experience with cloud-based data environments (e.g., AWS, Google Cloud, Azure). Familiarity with deployment of shiny apps. Understanding of data security practices. Location : - Remote,New Delhi,Mumbai,Bengaluru

GEN AI Consultant 4+Yrs(Hand on exp in GEN AI+ML) Upto 20L, BLR,Pune 7+Yrs(Hand on exp in GEN AI+ML) Upto 35L BLR,Pune,Chennai,Jaipur Skills:Gen AI,AI models,AI frameworks,Python,Any Cloud mansikohliimaginator@gmail.com Required Candidate profile Cloud platforms IBM Cloud, AZURE Cloud, Google Cloud, and AWS. Frameworks Flask, Django, Nginx + Gunicorn, Docker, Kubernetes, SCM (Git),DevOps (CI/CD) Tools such as Prometheus, MLflow, Grafana.

Position Overview: The Provider Technology Shared Services Engineering team is seeking an Software Engineer Lead Analyst for a Band 3 Contributor Career Track position. The Software Engineer Lead Analyst will play a critical role in system development within the broader Provider Technology Solutions and Engineering organization, significantly influencing Operations and Technology Product Management. This position will provide expertise in the engineering, design, installation and startup of automated systems, including a self-service onboarding kit that enables users to begin utilizing the solution within minutes. The solutions developed will be accessible to individuals with minimal technical skills and will require no additional coding, ensuring zero maintenance is needed. As a member of our team, you will operate within a high-performance, high-frequency enterprise technology environment. This role entails collaborating closely with IT management and staff to identify automated solutions that leverage existing resources with tailored configurations for each use case. The objective is to minimize redundancy in solutions while promoting an enterprise mindset focused on reusability and maintaining high standards, ultimately ensuring minimal future maintenance requirements. The Software Engineer Lead Analyst demonstrates significant creativity, foresight, and sound judgment in the conception, planning, and execution of initiatives. This role requires extensive professional knowledge and expertise to effectively advise functional leaders. Additionally, the Lead Analyst stays informed about the latest advancements in technology, including AI and machine learning, to enhance both existing and new automation solutions. These solutions are designed to optimize production costs while facilitating the addition or updating of features aimed at improving the overall software development lifecycle experiences. Responsibilities: Provide comprehensive consultation to business unit and IT management, as well as personnel, regarding all facets of application development, testing and automation solutions across diverse development, financial, operational, and computing environments. Offers leadership and strategic vision in architectural design and AI/ML guidance for the team. Perform comprehensive research to identify and recommend the most efficient, cost-effective, and scalable AI/ML automation solutions applicable throughout the Software Development Life Cycle (SDLC). This includes areas such as test data generation, code generation, test case generation, test script generation, root cause analysis, predictive analysis, etc., with the aim of enhancing the overall SDLC from development to production support. Ensures that engineering solutions are aligned with the overall Technology strategy while addressing all application requirements. Demonstrate industry-leading technical abilities that enhance product quality and optimize day-to-day operations. Understand how changes impact work upstream and downstream including various back-end and front-end architectural modules. Enhance personnel effectiveness using heat matrices to prioritize Quality and Development Engineering resources on high-impact interfaces while identifying areas of lesser focus. Proactively monitor and manage the design of supported automation solutions, ensuring scalability, stability, flexibility, simplicity, performance, availability, security, and capacity. Develop and implement automation solutions to improve engineering and operational efficiency. Troubleshoot and optimize automated solutions and related artifacts to ensure seamless execution in CI/CD pipelines and on local machines, minimizing software and package dependencies or conflicts to reduce cycle time. Execute on a strategy to hand over the automation solutions to every Agile teams for adoption and use within their areas of focus, requiring zero maintenance and minimal effort for any enhancements without delving into coding. Encouraging and building automated processes wherever possible. Recognized internally as a subject matter expert. Required Skills: Foundations in Machine Learning and Deep Learning: Understanding algorithms, neural networks, supervised and unsupervised learning, and deep learning frameworks like TensorFlow, PyTorch, and Keras. Generative Models: Knowledge of generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers. Natural Language Processing (NLP): Knowledge in NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face Transformers) for text generation tasks. Model Deployment: Experience with deploying models using services like TensorFlow Serving, TorchServe, or cloud-based solutions (e.g., AWS SageMaker, Google AI Platform). Basic understanding of implementing Prompt Engineering, Finetuning and RAG. Strong foundation and practical experience in programming languages, especially Python, within the context of AI/ML workflows, crucial for transitioning from traditional software development processes to optimized and innovative solutions that enhance market agility. Containerization and Orchestration: Experience with Docker and Kubernetes / OpenShift for containerization and orchestration of applications. CI/CD Pipelines: Knowledge of continuous integration and continuous deployment tools and practices. Security Best Practices: understanding of security principles and best practices for protecting data and systems, including IAM, encryption and network Security. Cloud Services: Familiarity with cloud platforms like AWS / Google Cloud / Azure for deploying and managing applications and AI models. Required Experience & Education: A Bachelor's degree in Computer Science or a related field is required. A minimum of 5 years of experience in Software Development, including 3 years of professional experience in AI and Machine Learning engineering. At least 3 years of experience in Agile methodologies is required. Familiarity with an onshore/offshore operational model is essential. Demonstrated experience in the architecture, design and development of large-scale enterprise application solutions is required. Desired Experience: Proficient in AI / ML practices and automation techniques. Experienced in programming languages and scripting, including Python, Shell, Bash, Groovy, Ansible and Docker. Providing coaching and guidance to team members. Location & Hours of Work: Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)

About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions underpinned by the world's largest delivery network Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With more than 394,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at . About Capability Network: Accenture Strategy shapes our clients' future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, every business is a digital business. Digital is changing the way organizations engage with their employees, business partners, customers and communities how they manufacture and deliver products and services, and how they run their organizations. This is our unique differentiator. We seek people who recognize and understand the impact that digital and technology have on every industry and every sector, and share our passion to shape unique strategies that allow our clients to succeed in this environment. To bring this global perspective to our clients, Accenture Strategys services include those provided by our Capability Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Approximately 3,000 consultants are part of this rapidly expanding network, providing specialized and strategic industry and functional consulting expertise from key locations around the world. Our Capability Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit . Practice Overview: Skill/Operating Group Technology Consulting Level Manager Location Gurgaon/Mumbai/Bangalore Travel Percentage Expected Travel could be anywhere between 0-100% Principal Duties And Responsibilities: Working closely with our clients, strategy professionals envisage, shape and formulate strategies that can help enhance business performance. They develop specialized expertise"strategic, industry, functional, technical"in a diverse project environment that offers multiple opportunities for career growth. The opportunities to make a difference within exciting client initiatives are limitless in this ever-changing business landscape. Here are just a few of your day-to-day responsibilities. Identifying, assessing and solving complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors Help clients design, architect and scale their journey to new technology-driven growth at the intersection of business and technology Help clients modernize their IT landscape and processes to adapt to latest technology trends Called upon to apply your solid understanding of cloud and disruptive technologies. Driving enterprise business, application and integration architecture Helping solve key business problems and challenges by enabling an architecture transformation, painting a picture of, and charting a journey from the current state to a "to-be" enterprise environment Implementing programs/interventions that prepare the organization for implementation of new business processes Assisting our clients to build the required capabilities for growth and innovation to sustain high performance Managing multi-disciplinary teams to shape, sell, communicate and implement programs Developing our offerings and assets Mentoring and developing our people Qualifications Qualifications: Bachelor Degree MBA Degree from Tier-1 College (Preferable) 8-12 years of large scale consulting experience and/or working with hi tech companies in data architecture, data governance, information security and information management. Certified on DAMA (Data Management) or Azure Data Architecture or Google Cloud Data Analytics or AWS Data Analytics Experience: We are looking for information strategy & data architect having experience with information strategy, data architecture, data governance, information operating model and information security operating across all stages of the innovation spectrum, with a remit to build the future in real-time. Assessment: Works as part of multi-disciplinary teams and collaborates with designers, other team members to evaluate new IT potential with a focus on data monetization, platforms, customer 360 view and analytics strategy. Align all data and analytics initiatives and investments to meet enterprise objectives. Strategy: Define data-based strategy for the customer which needs to be aligned to the customer technology landscape. Understand and recommend the end-to-end process for identified data initiatives including requirements, feasibility, validation of data structure, compliance, and monetization. Design: The Architects role on these projects centers around Assessment of Information Strategy Maturity, establishing target state Information Architecture and conceptual Data models. Identification of usage of structured/ unstructured data as an asset to create differentiated capabilities. Governance: Establish framework for effective Data Governance across multispeed implementations. Define data ownership, standards, policies and associated processes Information operating model: Define an operating model to manage data across organization. Establish processes around effective data management ensuring Data Quality & Governance standards as well as roles for Data Stewards Cloud Savvy - Know-how of Data applications and Data lake Implementations on Cloud using popular platforms like MS Azure / Google Cloud / AWS. The Data Architect should have practical industry expertise. The areas of Financial Services, Retail, consumer goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources are of interest but experience in equivalent domains is also welcomed. Architect should understand the key technology trends in their domain and the related business implications Experience in leading consulting engagements with large clients preferable Key Competencies and Skills: Strong desire to work in technology-driven business transformation The ability to develop technology solutions and value adding propositions and take these to market Ability to drive C-suite/leadership level discussions Strong knowledge of technology trends across IT and digital and how they can be applied to companies to address real world problems and opportunities. Deep experience within one or more of the Banking, Capital Markets, Telecom, Media, Oil & Gas, Life Sciences, Retail or Consumer Goods services industries. Be a subject matter expert on data-led projects and play a key role in pitches where data-based RFP responses are discussed Experience in presenting data strategy to clients, develop clients maturity in the use of data within various domains Understanding of Big data, data integration, data ingestion and data quality. Understanding of atleast one of the cloud platforms Azure / AWS / Google cloud. Deep understanding of data modelling tools, data warehouse and hosting environments are required Comfort conveying both high-level and detailed information, adjusting the way ideas are presented to better address varying social styles and audiences. Leading proof of concept and/or pilot implementations and defining the plan to scale implementations across multiple technology domains Exceptional interpersonal and presentation skills - ability to convey technology and business value propositions to stakeholders Team oriented and collaborative working style, both with clients and those within the organization. Capacity to develop high impact thought leadership that articulates a forward-thinking view of the market. Ability to develop and maintain strong internal and client relationships Proven track record in working creatively and analytically in a problem-solving environment Proven success in contributing to a team-oriented environment with effective consulting skills Proven track record to quickly understand the key value drivers of a business, how they impact the scope and approach of the engagement Demonstrated ability to develop younger talent and build a high performing team. Flexibility to accommodate client travel requirements

Jones Lang LaSalle, an international commercial real estate firm, is seeking a skilled and motivated cloud network engineer with expertise in both traditional networking and cloud networking technologies to join our IT team. The successful candidate will be responsible for overseeing the delivery of network architecture and implementations to our clients, ensuring exceptional quality and customer satisfaction. The successful candidate will be responsible for overseeing the design, implementation, and operation of firewall and network engineering and support, ensuring exceptional quality and customer satisfaction. The ideal candidate will have a strong background in firewall design, cloud network, cloud and firewall troubleshooting, implementation, and support, as well as experience managing on-prem and cloud-based network solutions. Responsibilities Implementation, Upgrades, Support & Troubleshooting Hands on experience with Cloud networking, Palo Alto firewalls in Azure & AWS cloud. Extensive experience implementing and maintaining firewalls and staying updated on any released security vulnerabilities and how they affect the network. Extensive experience performing on-going optimization of the network security devices to ensure adequate capacity, availability, and scalability. Experience implementing, troubleshooting, and documenting network security infrastructures and related systems. Expertise in modifying firewall rule sets, changing policies, whitelisting, content filtering, and troubleshooting issues by studying network traffic flows, locking down applications, and troubleshooting firewalls, routers, and switches. In-depth knowledge of layer 4-7 app aware firewalls. Experience establishing and modifying site-to-site VPNs. Ability to manage threat protection, URL blocking, IOC feeds, routers, and switches. Experience performing monthly firewall health checks. Periodically monitor firewall health, performance, and capacity. Experience in the Change Management process including creating new change requests, reviewing submitted change forms, peer reviewing submitted change requests, implementing firewall changes and peer reviewing firewall changes. Experience developing detailed build and test plans for implementing firewalls. Coordinate with IT teams to ensure standardized network configurations and practices. Proactively recommend and implement enhancements to improve network reliability, security, and performance . Collaborate with global IT teams to swiftly address and resolve network issues. Work closely with other IT teams, such as security, data centers, and application teams, to ensure network compatibility and optimization. Define common, reusable solutions for branch, data center and cloud firewall networking. Document firewall deployment, upgrades, and configuration standards Experience with network automation tools such as Ansible, scripting using Terraform, Python Wireless network design, support and troubleshooting. Understanding of TCP/IP Stack, AD, DNS, DHCP, Routing including BGP, OSPF, VXLAN Participate in disaster recovery development, exercises, and actual events. Resolve escalations for unique and complex technical problems that operational teams are unable to solve. Participate in incident management and problem resolution for network systems. Design and implement cloud network architectures using industry best practices. Deploy, configure, and manage networking services in the cloud, such as Virtual Private Cloud (VPC), Subnets, Gateways, Load Balancers, DNS, VPN, and Direct Connect. Troubleshoot and resolve network-related issues, including connectivity, performance, and security problems. Monitor and analyze network traffic to identify and address bottlenecks, potential vulnerabilities, and performance improvements. Collaborate with DevOps and security teams to ensure network operations align with compliance requirements and security standards. Provide network support to development teams during application deployments and migrations. Plan and execute network capacity and scalability strategies to accommodate future growth and expansion. Document network configurations, processes, and procedures for knowledge sharing and standardization. Stay up to date with the latest industry trends, technologies, and best practices in cloud networking. Experience & Education Bachelors degree in computer science, Information Technology, Engineering, or related field. Minimum of 5 years of experience in network architecture or design, with a specific focus on global infrastructures. Strong understanding of Firewalls, WAN technologies, SD-WAN, network protocols, IP subnetting, VPNs, QoS, and other advanced networking concepts. Experience with cloud network architecture, such as AWS, Azure, or Google Cloud. Expertise in network hardware including routers, switches, firewalls, and load balancers from vendors like Cisco, Palo Alto and others. Experience in networking field at a large enterprise scale including WAN, LAN, data center and cloud environments. Ability to participate in on-call rotation for 24x7 support. Knowledge of network security best practices and integration. Excellent communication skills, both written and verbal. Ability to work collaboratively in a global team environment. 8+ years of technical hands-on networking support. Technical Skills & Competencies Hands on experience with the Palo Alto firewall management. Experience with Palo Alto, Cisco firewalls Cloud networking experience with AWS, Azure Capable of breaking down and resolving customer or network related issues WAN technology experience to manage and evolve company Internet, Cloud, and company connectivity services. Strong understanding of infrastructure, firewall and networking. Strong troubleshooting skills for Palo alto firewalls. Strong experience in implementing global network implementation. Experience in successfully deploying firewalls in a cloud environment. Experience in successfully deploying firewalls in traditional data center and edge. Experience in ITIL disciplines. Experience and ability to manage conflicts. Strong technical network ability in a diverse and large-scale enterprise environment. Strong decision making and operational skill. Proven track record of global network designs and implementations Have excellent problem-solving skills utilizing both internal and external resources to get the job done. Work through issues and challenges. Self-starter and motivator and ability to work in team and solo Scheduled Weekly Hours: 40

Skill & Experience Strong experience in PostgreSQL Prior experience in Migration project Excellent written and oracle communication skills Awareness and Adhere to quality process Multi task and should be able to work under stringent deadlinesBachelors degree in computer science or equivalent Certification in PostgreSQL, Oracle Cloud Infrastructure/MySQL DBA/ or equivalent Strong Analytical and organizational skills with the ability to work independently 3+ years hands on experience and sound knowledge on Oracle , MySQL and PostgreSQL databases 3+ experience and sound knowledge of Google Cloud Experience in migration from Oracle to PostgreSQL database and Oracle to MySQL databases

Skill & Experience 3+ Years of experience as a Software Developer(preferably node.js) with a strong focus on automation. Understanding of software design principles, data structures, and algorithms. Experience with database systems, including SQL and NoSQL databases. Knowledge of containerization technologies such as Docker. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and infrastructure as code (IaC) tools. Familiarity with version control systems, preferably Git. Problem-solving skills and the ability to debug complex automation issues. Excellent teamwork and communication skills. Ability to work in an agile development environment and adapt to changing requirements. Exposure to messaging broker frameworks like RabbitMQ/Kafka Exposure to API Testing Frameworks like Postman, Mocha.js Exposure to ELK Stack, Caching Techniques Exposure to UI Automation with Selenium, Cypress, Playwright Exposure to Performance testing Keywords TypeScript,ELK Stack,Postman,Mocha.js,Performance testing,Git,AWS,Azure,Google Cloud,software design,Node.JS*