Network Monitoring Jobs in Ahmedabad

Relationship Manager (RM) Global Trade Finance (GTX) Location: Ahmedabad Experience: 3 5 years Reporting To: Head Global Trade Finance Company: KredX About GTX GTX is a licensed International Trade Financing Services (ITFS) platform operating under IFSCA, designed to support exporters and importers with cross-border working capital needs. Headquartered in GIFT City, our tech-driven platform combines innovative financial solutions with market expertise to simplify and scale global trade financing. Role Overview We are expanding our Global Trade Finance (GTX) vertical and are looking for a highly motivated and experienced Relationship Manager to join our team. In this role, you will be responsible for structuring and executing trade finance transactions, managing client portfolios, building strategic relationships, and ensuring compliance across all operations. You'll work closely with exporters, importers, financial institutions, and internal teams to deliver comprehensive trade finance solutions. Key Responsibilities Client & Transaction Management Originate, structure, and execute various trade finance products such as export factoring, LC, SBLC, forfaiting, buyer s/supplier s credit, etc. Manage and grow a portfolio of corporate clients engaged in international trade. Identify cross-selling opportunities and strengthen client relationships through customized financing solutions. Operational & Risk Oversight Ensure thorough execution of documentation, credit appraisal, compliance checks (KYC/AML), and risk assessments. Oversee transaction lifecycles, including disbursals, repayments, collateral management, and flow monitoring. Coordinate with compliance, risk, and legal teams to ensure risk mitigation across deals. Banking & Institutional Partnerships Liaise with banks (domestic & international), NBFCs, ECAs, and factoring partners for deal structuring and closures. Negotiate terms, pricing, and exposure limits with funding institutions to secure optimal outcomes. Strategic Initiatives Contribute to the development and automation of trade finance products and processes. Monitor global trade trends, regulatory updates (UCP, URDG, FEMA, RBI), and customer behaviors to inform strategy. Candidate Profile Education & Experience 3 5 years of experience in trade finance roles at banks, NBFCs, fintechs, or corporate treasury teams. Certifications such as CDCS or CITF are advantageous. Strong knowledge of trade finance instruments, international regulatory frameworks, and cross-border trade dynamics. Skills & Competencies Proficient in trade documentation, credit analysis, and risk management. Strong analytical thinking and structured problem-solving abilities. Excellent communication, negotiation, and client relationship management skills. Be a part of a high-impact, high-growth vertical with international exposure. Work in a fast-paced, innovation-driven environment backed by strong institutional support. Lead and contribute to digital-first, transformative trade finance initiatives.

Position: Regional Manager Sales Level: Senior Manager Experience Required: 12 18 Years Location: Ahmedabad Qualification: B.E. / B.Tech Mechanical Key Responsibilities Strategic Planning & Execution Develop and execute regional sales strategies aligned with corporate goals. Identify and capitalize on growth opportunities within the assigned region. Team Leadership Lead and mentor the regional sales team, ensuring alignment with business objectives. Drive team performance through regular reviews, KPIs, and motivational leadership. Revenue, Receivables & Channel Management Drive revenue targets and ensure timely collection of receivables. Expand and manage channel partner network for deeper market penetration. Client Relationship Management Build strong, long-term relationships with key clients and decision-makers. Ensure customer satisfaction through consistent engagement and issue resolution. Market Analysis & Penetration Conduct regular market intelligence to stay ahead of industry trends and competition. Identify new segments, applications, and regions for business expansion. After-Sales Service & Parts Management Oversee after-sales service support and ensure efficient parts management. Work closely with service teams to maintain high customer satisfaction post-sale. Additional Requirements Proven experience in Sales & Marketing within an OEM (Original Equipment Manufacturer) environment. Strong analytical and decision-making skills. Excellent communication, negotiation, and stakeholder management abilities. Ideal Candidate An engineering professional with a mechanical background and a proven sales leadership track record in the OEM space. You are strategic, data-driven, customer-focused, and capable of leading high-performing teams in a competitive market. Qualification : B.E. / B.Tech Mechanical

System Engineer Full-Time | Ahmedabad, India Location: Ahmedabad, Gujarat Employment Type: Full-Time | On-site Experience Required: 1 to 5 years Qualification: Any Graduate with IT background or equivalent Salary: Competitive, based on experience Notice Period: Immediate joiners preferred Job Summary We are looking for a skilled System Engineer to manage and support our Windows Server environments, Office 365, and Azure cloud services. The ideal candidate will have hands-on experience in server administration, Active Directory design, and migration, along with basic knowledge of PowerShell scripting and networking fundamentals. This role offers an excellent opportunity to grow your career in IT infrastructure management within a fast-paced environment in Ahmedabad. Key Responsibilities Manage and maintain Windows Servers, ensuring optimal performance and security. Provide basic to advanced support for server operations, including troubleshooting and issue resolution. Administer Office 365 and provide support for related services. Assist with Azure cloud platform tasks and basic cloud service management. Configure and manage Active Directory Federation Services (ADFS) and design Active Directory environments. Perform server backups and restore configurations to ensure data integrity. Manage Exchange Servers for smooth email operations. Plan and execute server migrations and implement new servers or services based on organizational requirements. Utilize PowerShell scripting for automation and server management tasks. Collaborate with the network team to maintain a solid understanding of networking protocols and infrastructure. Document processes and maintain technical documentation for system configurations and procedures. Required Skills & Qualifications 1 to 5 years of experience in system administration with Windows Servers and related technologies. Working knowledge of Office 365 administration and Azure basics. Experience with Active Directory, ADFS, and Exchange Server management. Familiarity with PowerShell scripting for automation and task efficiency. Clear understanding of networking concepts and protocols. Strong problem-solving skills and ability to manage server issues proactively. Good command of written and spoken English communication. Relevant Microsoft certifications (e.g., MCSA, AZ-900) are a plus. Work with a dynamic IT infrastructure team in Ahmedabad. Exposure to hybrid on-premises and cloud environments (Office 365 & Azure). Opportunity for professional growth and certification support. Competitive salary and a collaborative workplace culture. Qualification : Any Graduate with IT background or equivalent

Job Title: DevOps Lead Multi-Cloud Expert (AWS, Azure, GCP) Location: Ahmedabad, India We are seeking an experienced DevOps Lead with strong expertise across AWS, Azure, and Google Cloud Platform (GCP) to lead our cloud infrastructure and automation initiatives. This leadership role requires deep technical skills, proven project management experience, and the ability to mentor a growing DevOps team in delivering scalable, secure, and efficient cloud solutions. Key Responsibilities: Collaborate with cross-functional teams to design, build, and deploy solutions using serverless architectures, microservices, IaaS, PaaS, and containerization in multi-cloud environments (AWS, Azure, GCP). Develop reusable, parameterized Infrastructure as Code (IaC) templates for automated provisioning using Terraform and/or CloudFormation. Architect and manage end-to-end CI/CD pipelines leveraging native cloud tools such as AWS CodeBuild, CodeDeploy, CodePipeline, Azure DevOps, and Google Cloud Build. Integrate third-party tools like SonarQube into CI/CD workflows to enhance code quality and security. Perform configuration management using tools like Ansible and automate processes via scripting in PowerShell, Bash, or Python. Administer both Windows and Linux systems within cloud environments to ensure robust operations. Install, configure, and maintain DevOps tools across multiple cloud platforms ensuring smooth and reliable deployments. Required Skills & Experience: 8+ years of senior-level experience in DevOps, Cloud Engineering, or related roles with deep expertise in AWS, Azure, and GCP. Proven leadership skills with experience mentoring and managing DevOps teams. Advanced knowledge of containerization and orchestration tools including Docker and Kubernetes (K8s). Strong hands-on experience with Terraform and other Infrastructure as Code tools. Expertise in building and managing CI/CD pipelines using cloud-native services. In-depth understanding of Cloud Networking concepts, including VPCs, Network Security Groups (NSGs), DNS, and Routing. Solid knowledge of both Linux and Windows operating systems, including endpoint security best practices. Ability to diagnose, troubleshoot, and provide strategic solutions for complex cloud infrastructure and application issues. Excellent communication skills for client interaction, team collaboration, and translating technical concepts for non-technical stakeholders. Lead high-impact cloud and DevOps initiatives across diverse multi-cloud platforms. Work with cutting-edge technologies in a collaborative, innovative environment. Mentor and grow a talented team of DevOps professionals.

Position: Senior Engineer/Technical Lead (DevOps Engineer - Azure) Job Description: Key Responsibilities: Azure Cloud Management: Design, deploy, and manage Azure cloud environments. Ensure optimal performance, scalability, and security of cloud resources using services like Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure App Services, Azure Functions, Azure Storage, and Azure SQL Database. Automation & Configuration Management: Use Ansible for configuration management and automation of infrastructure tasks. Implement Infrastructure as Code (IaC) using Azure Resource Manager (ARM) templates or Terraform. Containerization: Implement and manage Docker containers. Develop and maintain Dockerfiles and container orchestration strategies with Azure Kubernetes Service (AKS) or Azure Container Instances. Server Administration: Administer and manage Linux servers. Perform routine maintenance, updates, and troubleshooting. Scripting: Develop and maintain Shell scripts to automate routine tasks and processes. Helm Charts: Create and manage Helm charts for deploying and managing applications on Kubernetes clusters. Monitoring & Alerting: Implement and configure Prometheus and Grafana for monitoring and visualization of metrics. Use Azure Monitor and Azure Application Insights for comprehensive monitoring, logging, and diagnostics. Networking: Configure and manage Azure networking components such as Virtual Networks, Network Security Groups (NSGs), Azure Load Balancer, and Azure Application Gateway. Security & Compliance: Implement and manage Azure Security Center and Azure Policy to ensure compliance and security best practices. Required Skills and Qualifications: Experience: 5+ years of experience in cloud operations, with a focus on Azure. Azure Expertise: In-depth knowledge of Azure services, including Azure Virtual Machines, Azure Kubernetes Service, Azure App Services, Azure Functions, Azure Storage, Azure SQL Database, Azure Monitor, Azure Application Insights, and Azure Security Center. Automation Tools: Proficiency in Ansible for configuration management and automation. Experience with Infrastructure as Code (IaC) tools like ARM templates or Terraform. Containerization: Hands-on experience with Docker for containerization and container management. Linux Administration: Solid experience in Linux server administration, including installation, configuration, and troubleshooting. Scripting: Strong Shell scripting skills for automation and task management. Helm Charts: Experience with Helm charts for Kubernetes deployments. Monitoring Tools: Familiarity with Prometheus and Grafana for metrics collection and visualization. Networking: Experience with Azure networking components and configurations. Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues. Communication: Excellent communication skills, both written and verbal, with the ability to work effectively in a team environment. Preferred Qualifications: Certifications: Azure certifications (e.g., Azure Administrator Associate, Azure Solutions Architect) are a plus. Additional Tools: Experience with other cloud platforms (AWS, GCP) or tools (Kubernetes, Terraform) is beneficial. Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type: Full time Job Category: Engineering Services "

Job Title: AI/ML Engineer Location: Ahmedabad, India Job Type: Full-time Job Overview: As a progressive company deeply invested in artificial intelligence, we hold innovation as a guiding principle. In line with our commitment to advancing this domain, we're searching for a seasoned Machine Learning Engineer to refine our existing systems and architect new AI models. This role will involve a rich blend of tasks, including collaborating intensively with stakeholders and domain specialists to help develop AI models capable of tackling intricate business problems. Key Responsibilities: Collaborate with Cross-functional Teams: Work closely with domain experts, data scientists, and software engineers to develop and implement machine learning models and algorithms that solve business problems. Data Analysis and Insights: Analyze large, complex datasets to extract actionable insights, identify patterns, and improve the performance of machine learning models. ML Pipeline Development: Develop and maintain end-to-end machine learning pipelines, including data preprocessing, feature extraction, model training, and evaluation. Model Deployment and Monitoring: Deploy machine learning models into production environments, monitor their performance, and ensure their continued effectiveness. Stay Current with Advancements: Keep up to date with the latest industry advancements in machine learning and artificial intelligence. Apply relevant techniques and technologies to continuously improve existing models and systems. Contribute to Best Practices: Contribute to the development of best practices, guidelines, and standards for machine learning engineering within the organization. Write Clean Code: Maintain high-quality, maintainable, and efficient code that adheres to industry best practices. Required Qualifications: Education: Tertiary degree in Computer Science, Software Engineering, or a related field, with a focus on machine learning or artificial intelligence. Experience: 3+ years of experience as a Machine Learning Engineer or in a similar role. Programming Skills: Advanced skills in programming languages such as Python, Rust, and related frameworks. Machine Learning Frameworks: Hands-on experience with machine learning frameworks such as PyTorch and libraries like NumPy, Pandas, or Keras. Problem-Solving: Excellent problem-solving and analytical skills, with the ability to approach complex challenges with a clear and effective strategy. Collaboration and Communication: Strong communication and collaboration abilities, with the capacity to work well in cross-functional teams. Independence: Ability to work independently when needed, demonstrating initiative and accountability. Preferred Qualifications: Microservices and Containerization: Experience with microservices architecture, Docker, Kubernetes, and Linux. Big Data Tools: Experience with big data processing tools (e.g., Hadoop, Spark) and data storage systems (e.g., SQL, NoSQL). Technical Design Skills: Demonstrated technical design, problem-solving, coding, and debugging skills. Distributed Systems: Experience with distributed systems design and implementation. Innovation: Be part of a team that is shaping the future of artificial intelligence. Career Growth: Continuous learning and growth opportunities in the AI/ML domain. Impact: Work on real-world projects that drive meaningful business outcomes. Dynamic Environment: Thrive in a fast-paced, innovative environment that encourages creativity and collaboration. If you are passionate about AI/ML, have the skills to develop cutting-edge solutions, and are eager to work with a talented team, we d love to have you onboard at Rapidops! Qualification : Tertiary degree in Computer Science, Software Engineering, or a related field, with a focus on machine learning or artificial intelligence.

Job Title: Network Engineer (Cisco) Role Overview: The Network Engineer is responsible for carrying out updates to the service lifecycle, configuring IT systems, executing changes, drafting documentation, and monitoring IT services. The role demands expertise in various Cisco network devices and services, troubleshooting, and network maintenance for high-performance and availability. Key Responsibilities Carry out recommended updates to the service lifecycle, including patching and point releases upgrades. Configure IT systems and execute basic changes while following standard operating procedures and change/release management policies. Draft technical and end-user documentation for specific IT services or sets of services. Monitor specific IT services for availability and performance, reporting anomalies through predefined processes. Expert in various Cisco network devices and services (routers, switches, MPLS, SolarWinds, Umbrella, BRG, firewall, load balancers, VPN, VoIP/Call Manager). Installation, configuration, and troubleshooting experience with Cisco devices. Experience in Voice, WAN, Wireless & Site Networks. Perform network maintenance and system upgrades, including service packs, patches, hot fixes, and security configurations. Monitor system resource utilization, trending, and capacity planning. Problem-solving skills to resolve network-related issues. Manage telecommunications network including LAN, WAN, MPLS, and SONET environments. Support SSL VPN, Firewall, and Network Switches. Hands-on experience in installing, configuring, and troubleshooting Cisco routers, Palo Alto Firewalls, switches, load balancers, and network access controllers. Represent network operations function for all change management-related queries. Experience in using network management tools for performance tuning, troubleshooting, and capacity planning. Specific Knowledge In-depth understanding of and experience with Firewall LAN/WAN, routing, switches including BGP, Meraki, MPLS, VPN, Solarwinds, Umbrella, BRG, and EIGRP. Advanced experience with routers, switches, and LAN/WAN equipment. Knowledge and working experience with Wireless Infrastructure. Familiarity with network monitoring and diagnostic tools. Advanced troubleshooting skills in LAN/WAN/Wireless infrastructure. Escalation point of contact for all Network Technologies. Skills Ability to work independently, as a technical resource, and as a key participant in a team environment. Independent, persistent, and results-oriented individual able to contribute ideas and opinions for sound solutions. Comfortable working with minimal supervision/guidance and dealing with ambiguity. Excellent time management and organizational skills, able to manage multiple concurrent projects. Excellent English communication and presentation skills, both written and verbal. Experience in handling critical incidents and providing solutions in pressure situations. Familiarity with ticketing systems. Ability to grasp and understand new technology trends and concepts. Certifications CCNA, CCNP, PCNSA or PCNSE certification required.

Position: Incident Manager - US Shift Job Summary: The Incident Manager is responsible for leading the incident management process to ensure timely identification, resolution, and documentation of IT incidents. The role involves coordinating with cross-functional teams, handling major incidents, and driving continuous improvement in IT service delivery. The ideal candidate should have expertise in ITIL processes, IT service management (ITSM) tools, stakeholder communication, and problem-solving skills to maintain high availability and stability of IT services. Key Responsibilities: Incident Management & Response: Lead the incident management process, ensuring rapid response, resolution, and communication. Act as an escalation point for critical IT incidents, ensuring minimal disruption to business operations. Coordinate with IT teams (Infrastructure, Network, Security, Applications, etc.) to diagnose, troubleshoot, and resolve issues. Ensure compliance with SLAs by monitoring incident resolution times and escalating issues as needed. Conduct Root Cause Analysis (RCA) and drive corrective actions to prevent recurrence. Facilitate post-incident reviews (PIRs) and ensure continuous process improvements. Stakeholder Communication & Coordination: Serve as the primary liaison between IT teams, business units, and senior leadership during incidents. Provide timely incident status updates to stakeholders with clear impact assessments. Ensure effective collaboration with third-party vendors and service providers for quick resolution. Develop and maintain incident communication templates for standardization. Process Improvement & Governance: Ensure adherence to ITIL best practices and ITSM frameworks. Identify trends in recurring incidents and work with Problem Management to implement permanent fixes. Maintain and enhance Incident Management Standard Operating Procedures (SOPs). Work closely with Change Management to assess risks and minimize service disruptions. Training & Readiness: Conduct training sessions for IT teams on best practices for incident handling. Organize incident response simulations and tabletop exercises to enhance preparedness. Develop incident management playbooks to standardize response procedures. Required Skills & Qualifications: Technical & ITSM Expertise: Strong understanding of ITIL frameworks (Incident, Problem, and Change Management). Hands-on experience with ITSM tools such as ServiceNow, BMC Remedy, Jira Service Desk, or similar platforms. Knowledge of enterprise IT environments, including networking, cloud services, cybersecurity, and applications. Familiarity with log analysis, event correlation, and monitoring tools (e.g., Splunk, SolarWinds, Nagios). Soft Skills & Competencies: Excellent communication and stakeholder management skills for cross-functional collaboration. Strong analytical, problem-solving, and decision-making abilities under high-pressure situations. Ability to handle multiple high-priority incidents simultaneously. Leadership skills to guide IT teams and improve incident management practices. Education & Certifications: Bachelor s degree in Computer Science, Information Technology, or related field. ITIL Foundation Certification (ITIL v3 or ITIL 4) Mandatory. Preferred: ISO 27001, PMP, COBIT, CISSP, or relevant ITSM/security certifications. If you are an experienced Incident Manager with a strong ITIL background and the ability to manage high-priority incidents in a fast-paced environment, we encourage you to apply and join our dynamic team! Qualification : Bachelors degree in Computer Science, Information Technology, or related field.

Job Title: Sales & Business Development Manager Yarn, Fiber & Fabrics Department: Sales & Business Development Location: Ahmedabad Open Positions: 2 Experience: Minimum 5 years in Domestic Yarn Sales & Marketing Education: B.Tech / M.Tech in Textile / MBA in Marketing (Experience in the domestic textile market will be preferred) Role Overview: The Sales & Business Development Manager is responsible for generating leads, converting them into business opportunities, and achieving targeted sales and profitability goals by selling yarn, fiber, and fabrics. This role also involves leading the company s efforts to develop new products and markets by meeting customers, promoting products, collecting market insights, and formulating competitive strategies. Key Responsibilities: 1. Lead Generation & Business Development: Identify and develop leads, convert them into business, and achieve targeted sales, margins, and timely collections. 2. Customer & Supplier Relationship Management: Build and maintain long-term relationships with domestic customers and suppliers in the assigned territory to ensure sustainable growth and profitability. 3. Market Networking: Develop a strong network with key stakeholders in customer and supplier organizations, trade bodies, vendors, and other industry players. 4. Timely Payment Collection: Ensure 100% on-time payment collection and report any deviations promptly to the company. 5. Market Trend Monitoring & Product Development: Monitor market trends, identify opportunities for new product development, and source new products to stay ahead of the competition. 6. Customer Base Expansion: Acquire new customers while providing exceptional service to existing clients to expand the customer base and successfully close business deals. Qualification : B.Tech / M.Tech in Textile / MBA in Marketing (Experience in the domestic textile market will be preferred)

Roles and responsibilities : We are looking for a skilled Hardware and Network Engineer to join our IT team. The ideal candidate will have hands-on experience with hardware troubleshooting, network configuration, and server setup. This role involves maintaining the IT infrastructure, ensuring seamless connectivity, and supporting our team with hardware and networking needs. Key Responsibilities: 1. Infrastructure Maintenance and Support: Maintain and support IT infrastructure, including servers, desktops, and networking hardware. Conduct regular maintenance checks and troubleshoot hardware issues as they arise. Ensure timely upgrades and replacements of hardware components to maintain optimal performance. 2. Network Configuration and Management: Configure, install, and manage network devices such as routers, switches, and firewalls. Monitor network performance, troubleshoot connectivity issues, and ensure secure and efficient data transfer. Set up and manage LAN/WAN and wireless networks, ensuring a reliable and secure network environment. 3. Server Setup and Administration: Set up, configure, and maintain company servers to ensure secure and stable operations. Monitor server health, backup data, and restore systems as needed. Perform regular updates and apply patches to ensure security and functionality. 4. Technical Support and Troubleshooting: Provide technical support for end-users, assisting with hardware, software, and network-related issues. Conduct diagnostics to identify and resolve system failures, network disruptions, and hardware malfunctions. Document issues and resolutions, providing feedback for continuous improvement. 5. Documentation and Reporting: Maintain accurate records of network configurations, hardware inventory, and system upgrades. Prepare reports on system performance, network usage, and troubleshooting actions taken. Requirements: 6. Bachelor s degree in related field (or equivalent experience). 7. Minimum 1 year of experience in hardware troubleshooting, network configuration, and server setup. 8. Strong knowledge of networking concepts, including LAN/WAN, IP addressing, DHCP, DNS, and network security. 9. Proficiency in configuring and managing servers. 10. Familiarity with hardware components, network devices, and diagnostic tools. Preferred Qualifications: 11. Experience with network management tools and monitoring software. 12. Basic knowledge of virtualization technologies is a plus. 13. Strong problem-solving skills and ability to work independently. Perks and Benefits: Healthy & Flexible Work Environment All Saturdays Off (5 Days Working) Performance based Incentive & employee friendly policies Attractive Awards, Festival Celebrations, Picnic, Birthday Celebrations etc. Unlimited opportunity to grow.

Job Title: DevOps Lead Experience: 8+ Years Job Role & Responsibilities Collaborate with teams to design, build, and deliver solutions implementing serverless, microservices-based, IaaS, PaaS, and containerized architectures in AWS, Azure, and GCP cloud environments. Develop reusable and parameterized Infrastructure as Code (IaC) templates for the automated deployment of cloud resources using Terraform and/or CloudFormation. Build and manage CI/CD pipelines using AWS CodeBuild, CodeDeploy, CodePipeline, and equivalent tools in Azure DevOps and Google Cloud Build. Integrate 3rd party tools with CI/CD processes (e.g., SonarQube). Perform configuration management using industry-standard DevOps tools (e.g., Ansible). Implement scripting to enhance build, deployment, and monitoring processes using PowerShell, Bash, or Python. Work with Windows and Linux systems in cloud environments. Install, configure, and manage DevOps tools across AWS, Azure, and GCP. Required Skills 8+ years of senior-level experience in AWS, Azure, and GCP in a DevOps or Engineering role, with a proven track record in client communications and project management. Strong leadership and team management skills, including mentoring junior team members. Expertise in DevOps tools and concepts, including Docker, Kubernetes (K8s), Terraform, and multi-cloud environments. Ability to develop and lead CI/CD pipelines using AWS, Azure, and GCP-native tools. Strong understanding of Cloud Networking, including VPCs, NSGs, DNS, and Routing. In-depth knowledge of Linux and Windows operating systems, including endpoint protection. Experience diagnosing and troubleshooting complex system and application issues, with the ability to provide strategic solutions. Exceptional problem-solving, analytical, and critical thinking skills. Excellent communication and interpersonal skills, with the ability to manage client relationships and explain technical concepts to non-technical stakeholders.

Job Title: DevOps Engineer Location: Ahmedabad Education Qualification: B.E./B.Tech/MCA/M.E./M.Tech Company Profile: Media NV was established in 2014 and is headquartered in North America as a multinational company with offices in Ahmedabad and Chandigarh. At Media NV, we treat our employees like family. Our core focus is on growing your business because your success drives our growth. Our passionate and driven team combines creativity, technology, and marketing to fully integrate your business into the online world, providing ample opportunity for brand expansion. Whether you require local or outsourced services, we align our goals with yours and deliver maximum value. Role Overview: As a DevOps Engineer at Media NV, you will play a critical role in improving our customer experience by building and maintaining efficient, secure, and scalable infrastructure. You will collaborate closely with developers and engineers to deploy product updates, troubleshoot production issues, automate processes, and ensure reliable software delivery. You will also be involved in project planning and management decisions to help drive the success of our projects. Key Responsibilities: Build and implement development tools and infrastructure to enhance deployment and release processes. Automate and improve development workflows and system maintenance. Deploy updates, fixes, and provide Level 2 technical support. Develop integration software for internal backend systems. Conduct root cause analysis for production issues and implement solutions. Create scripts for automation and visualization of processes. Design troubleshooting and maintenance procedures. Monitor server performance and logs to minimize downtime and ensure system reliability. Ensure security of systems against cybersecurity threats. Collaborate with software engineers to maintain development best practices and quality standards. Manage both local and cloud infrastructure environments. Required Skills and Qualifications: Proven experience as a DevOps Engineer or similar software engineering role. Proficiency with Git and GitHub workflows. Basic knowledge of JavaScript frameworks and deployment processes. Working knowledge of SQL and NoSQL databases. Strong problem-solving skills and a proactive attitude. Familiarity with software development and deployment life cycle. Competitive salary with guaranteed incremental increases. 5-day work week (Monday to Friday). No sandwich leave policy. Comprehensive health insurance benefits. Regular team gatherings and outings. Supportive and growth-oriented work environment. Generous leave policy. Excellent platform for continuous learning and career development. Recognition and rewards for your contributions. Apply now and be a part of a passionate team that values your skills and helps you grow! Qualification : B.E./B.Tech/MCA/M.E./M.Tech

Job Title: AWS DevOps Engineer Experience Required: 1-3 Years Job Location: Ahmedabad/Pune Educational Qualifications: UG: BE/BTech (CE, IT, EC, EEE) PG: MCA/MSC IT Job Description: We are looking for a talented AWS DevOps Engineer to join our dynamic team. The ideal candidate will play a crucial role in designing, developing, and deploying robust applications using AWS cloud technologies. You will work closely with the development and operations teams to ensure seamless integration, automation, and efficient cloud infrastructure management. Key Responsibilities: AWS Expertise: Hands-on experience with a wide range of AWS services including IAM, VPC, EC2, RDS, CloudFront, ECR, ECS, EKS, Lambda, CodeBuild, CodeCommit, CloudTrail, and CloudWatch. Serverless & Microservices: Proficiency in building and deploying serverless applications and microservice architectures. Infrastructure as Code: Experience with CloudFormation and Terraform, creating reusable, module-based code for resource provisioning. CI/CD Pipelines: Design, implement, and manage Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools such as Jenkins, GitHub Actions, and other build management tools. Build Management: Proficiency in creating build artifacts using tools like Maven, Gradle, npm, etc. Cloud Infrastructure Management: Hands-on experience managing cloud-based infrastructure (AWS), ensuring scalability and security. Containerization & Orchestration: Expertise in Docker and container orchestration tools like AWS ECS, EKS, and Kubernetes. Monitoring & Analytics: Monitor platform capacity and health, providing analytics and forecasts for resource scaling. Version Control: Solid experience with Git and GitHub for version control. Automation & Scripting: Ability to automate tasks using scripting languages like Bash or Python. Troubleshooting & Logging: Proficient in logging, troubleshooting, and optimizing deployment pipelines for efficient operations. Key Requirements: Proven experience as a DevOps Engineer with a focus on AWS cloud technologies. Strong expertise in designing and implementing CI/CD pipelines to streamline development and deployment processes. In-depth knowledge of AWS security best practices and ability to implement them in the AWS environment. Strong problem-solving skills, with the ability to diagnose and troubleshoot issues in complex, distributed systems. Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams. Hands-on experience with logging and troubleshooting deployment pipelines. Nice to Have: AWS Certifications such as AWS Certified Solutions Architect Associate, AWS Certified Developer Associate, or AWS Certified Cloud Practitioner. Understanding of AI/ML concepts. Familiarity with logging and monitoring tools like ELK Stack and Grafana. Experience with SonarQube for continuous code quality inspection.

Job Title: Azure DevOps Engineer Required Experience: 1-3 Years Job Location: Ahmedabad/Pune Educational Qualifications: UG: BE/BTech (CE, IT, EC, EEE) PG: MCA/MSC IT Job Description: We are seeking a talented Azure DevOps Engineer to join our expanding team. In this role, you will be responsible for designing, developing, and deploying robust applications using Azure cloud technologies. Your work will be pivotal in automating, optimizing, and ensuring the efficiency of our cloud infrastructure and deployment pipelines. Key Responsibilities: Azure Resource Management: Support deployment and maintenance of Azure resources, such as Virtual Machines, Storage Accounts, Azure Functions, and Azure Kubernetes Service (AKS). CI/CD Pipeline Management: Assist in creating, managing, and optimizing CI/CD pipelines using Azure DevOps to ensure seamless integration and deployment of applications. Clean Code Practices: Write clean, scalable, and efficient code while adhering to best development practices. Automation Collaboration: Work with development teams to automate build, test, and deployment processes, driving faster and more reliable releases. Infrastructure Monitoring: Monitor the performance and reliability of infrastructure and pipelines, implementing improvements as needed. Troubleshooting: Troubleshoot and resolve issues related to builds, releases, environments, and cloud infrastructure. Documentation: Document DevOps processes, configurations, and best practices to ensure consistency and knowledge sharing across the team. Key Requirements: DevOps Experience: Proven experience in DevOps roles, ideally in cloud-based environments. Azure Knowledge: In-depth knowledge of Azure Cloud services, including Azure DevOps, App Services, Functions, Virtual Machines, and AKS. CI/CD Expertise: Hands-on experience with Azure DevOps pipelines and automating software delivery processes. Infrastructure as Code: Proficiency with Infrastructure as Code (IaC) tools like Terraform or ARM templates for managing cloud resources. Version Control: Knowledge of version control systems like Git and Azure DevOps, with an understanding of branching strategies. Scripting Skills: Experience in scripting languages such as PowerShell, Bash, or Python to automate workflows. Containerization: Familiarity with containerization tools such as Docker for application packaging and deployment. Analytical Mindset: Strong analytical and problem-solving abilities with a continuous learning mindset. Pipeline Troubleshooting: Experience in logging, troubleshooting, and optimizing deployment pipelines to ensure smooth operations. Good to Have: Azure Certifications: Certifications such as AZ-900 (Azure Fundamentals) or AZ-104 (Azure Administrator Associate) are a plus. AI/ML Understanding: Knowledge of AI/ML concepts and their integration into cloud environments. Monitoring Tools: Familiarity with logging and monitoring tools like ELK Stack and Grafana for operational insights. SonarQube: Experience with SonarQube for continuous code quality analysis.

Technical Skills: Strong experience in Python, R, or Scala for data analysis and modeling. Proficiency in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong command on NLP domain models. Hands-on expertise with time-series forecasting techniques (e.g., ARIMA, LSTM, GRU), building CICD pipeline and model monitoring system. Experience working with large datasets and distributed computing tools (Hadoop, Spark). Optimize and fine-tune models for performance, accuracy, and scalability. Experience in reinforcement learning or online learning techniques. Expertise in handling large-scale datasets, using tools like Pandas, NumPy, and SQL. Knowledge of cryptocurrency markets, blockchain, and financial modeling. Proficiency in cloud platforms like AWS, GCP, or Azure for deploying machine learning models.

Job Description We are looking for a highly skilled AI Engineer with expertise in Large Language Models (LLMs), machine learning, data engineering, and product development. The ideal candidate will drive the development of intelligent, scalable, and ethical AI solutions while leveraging cutting-edge technologies to solve complex challenges. Required Qualifications Expertise in LLMs, machine learning, and data engineering. Knowledge of transformer architectures and deep learning models like CNNs and RNNs. Strong in Python and JavaScript; familiarity with C++ and Java is a plus. Experience with TensorFlow, PyTorch, and Keras for AI model development. Proficient in building scalable data pipelines and performing data preprocessing. Familiarity with AWS, Google Cloud, or Azure for scalable deployments. Understanding of CI/CD practices for automating AI workflows. Awareness of AI ethics, including bias mitigation and fairness principles. Strong analytical and problem-solving skills with adaptability to new technologies. Roles and Responsibilities Develop and fine-tune LLMs for tasks like retrieval-augmented generation (RAG). Build and deploy machine learning models using frameworks like TensorFlow, PyTorch, and Keras. Create scalable data pipelines using Apache Spark, Hadoop, and SQL. Conduct data preprocessing, including cleaning, transformation, and feature engineering. Leverage agentic frameworks such as LangGraph, CrewAI, and AutoGen to design advanced AI workflows. Deploy AI models on cloud platforms (AWS, Google Cloud, Azure) and implement CI/CD practices. Develop generative models like GANs for synthetic data generation and analysis. Ensure ethical AI design by mitigating bias and promoting fairness. Troubleshoot and optimize AI systems for performance and scalability.

Job Role & Responsibilities We are seeking a skilled DevOps Engineer to collaborate with cross-functional teams and deliver robust solutions in AWS cloud environments. You will play a critical role in building serverless, microservice-based, IaaS, PaaS, and containerized architectures while developing and automating cloud infrastructure and deployment pipelines. Key Responsibilities: Design and implement serverless and containerized architectures in AWS Cloud environments. Develop reusable, parameterized Infrastructure as Code (IaC) templates using Terraform and CloudFormation for automated deployments. Build and manage CI/CD pipelines using AWS services such as CodeBuild, CodeDeploy, and CodePipeline. Integrate third-party tools (e.g., SonarQube) into CI/CD workflows to enhance code quality and security. Configure and manage environments using industry-standard DevOps tools (e.g., Ansible). Implement custom scripts (e.g., PowerShell, Bash, Python) to extend build, deployment, and monitoring processes. Work with both Windows and Linux-based systems. Install, configure, and manage AWS cloud tools and services. Required Skills & Experience 4+ years of experience working in a DevOps or Engineering role within AWS Cloud environments. Strong understanding of DevOps concepts and tools. Proven experience developing CI/CD pipelines using AWS native tools (e.g., CodePipeline). In-depth knowledge of Cloud Networking, including NSGs, VPCs, DNS, and Routing. Familiarity with Linux and Windows operating systems, including endpoint protection. Experience in diagnosing and troubleshooting system and application issues.

Bytes Technolab is a comprehensive web application development company, established in 2011, with a global presence in the USA, Australia, and India. Since its inception, Bytes has consistently demonstrated excellence in innovative web development, eCommerce solutions, and mobile application development services. Roles & Responsibilities: Cloud Infrastructure Solutions: Design, implement, and maintain scalable and reliable cloud infrastructure solutions leveraging GCP and AWS services. Kubernetes Cluster Management: Deploy, configure, and manage Kubernetes clusters on both GCP and AWS, ensuring smooth integration with RabbitMQ for reliable messaging. Collaboration with Development Teams: Collaborate with software development teams to optimize application deployment, monitoring, and performance in a cloud environment. RabbitMQ Management: Implement and manage RabbitMQ messaging queues for efficient communication between services, ensuring reliability and performance. CI/CD Pipeline Management: Develop and maintain CI/CD pipelines for automated application deployment and release management, integrating RabbitMQ as part of the pipeline. Infrastructure as Code (IaC): Implement IaC using tools like Terraform or CloudFormation, ensuring consistent and repeatable deployments across the cloud environment. Monitoring and Troubleshooting: Monitor and troubleshoot system and application performance, including RabbitMQ queue performance optimization. Compliance and Security: Conduct regular audits to ensure adherence to industry best practices and security standards, with a particular focus on messaging queue security. Cross-Functional Collaboration: Work with cross-functional teams to resolve infrastructure and deployment-related issues, with a focus on messaging queues and cloud environments. Continuous Learning and Evaluation: Stay up-to-date with the latest trends in DevOps, cloud computing, and messaging queue technologies to evaluate their applicability to the organization. Skills Required: Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. Experience: Proven experience as a DevOps Engineer or in a similar role, with a strong focus on Kubernetes, GCP, AWS, and RabbitMQ. Kubernetes Expertise: In-depth knowledge of Kubernetes, including cluster management, deployment, and troubleshooting in both GCP and AWS environments. Cloud Platforms Knowledge: Hands-on experience with GCP services (e.g., compute engine, Kubernetes engine, cloud storage) and AWS services (e.g., EC2, ECS/EKS, S3, RDS). Scripting and Automation: Proficiency in scripting languages such as Python, Bash, or PowerShell for automating infrastructure management and application deployments. Configuration Management: Familiarity with configuration management tools like Ansible, Chef, or Puppet. CI/CD Principles: Solid understanding of CI/CD principles, with experience using tools like Jenkins, GitLab CI/CD, or CircleCI. Containerization and Orchestration: Experience with Docker for containerization and Kubernetes for container orchestration. RabbitMQ Expertise: Strong understanding of RabbitMQ, including setup, configuration, clustering, and ensuring message reliability. Problem-Solving Skills: Strong problem-solving skills with the ability to troubleshoot complex issues in a distributed, cloud-based environment. Communication & Collaboration: Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Certifications: Professional certifications related to cloud computing, Kubernetes, DevOps, or RabbitMQ are highly desirable. Additional Skills: Experience with other cloud platforms like Azure or IBM Cloud is a plus. Familiarity with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or Splunk. Understanding of infrastructure security principles, particularly for messaging queues. Experience with database administration (SQL or NoSQL) is beneficial. Familiarity with Agile development methodologies. Qualification : Bachelor's degree in computer science, engineering, or a related field (or equivalent work experience).

Sr. DevOps Engineer To qualify for the role you must have: Experience: 10+ Years Skills: Azure DevOps, MySQL, CI/CD, Docker, Python, Shell, Cloud Services (MS SQL/MySQL, NoSQL), Swagger, REST Qualifications: MCA/ BCA / BEIT / BECE /MSc.IT /Bsc.ITYour key responsibilities: Work on a UK Time Zone (11:30 AM to 9 PM IST) schedule to ensure at least 6 hours overlap with the client s team. Provide call support on a rotational basis, ensuring smooth operations and timely resolutions. Lead DevOps initiatives with 7+ years of experience, including at least 3 years of hands-on experience with Azure DevOps. Act as a DevOps Lead, mentoring junior engineers and driving the implementation of best practices for CI/CD, cloud infrastructure, and automation. Ensure proficiency in Azure Infrastructure and Azure DevOps, contributing to the design, deployment, and management of scalable and secure infrastructure. Maintain a constant learning attitude, staying updated on the latest DevOps technologies and trends. Skills and attributes for success: Deep experience with CI/CD tools and hands-on expertise in building and managing pipelines. Strong knowledge of C#, .NET, .NET Core, and working with databases (SQL, MySQL, NoSQL). Excellent team collaboration skills, with the ability to work effectively across development, database, and technical support teams. Strong organizational and time management skills, with the ability to manage multiple projects simultaneously. Awareness and familiarity with Agile processes, ensuring efficient sprint planning and task management. A strong sense of ownership and responsibility for project success, with a focus on delivering high-quality, reliable infrastructure solutions. Proficiency with enterprise-grade tools like Jira, Confluence, and other project management/requirements management solutions. Expert knowledge in automation and configuration management technologies, capable of designing, planning, and deploying large-scale solutions. Experience implementing monitoring and logging solutions for cloud or hybrid environments, particularly in containerized environments. Security-focused design and implementation experience is a plus, with an understanding of how to build secure DevOps pipelines. Hands-on experience with Application Health Monitoring, alerting, and first-level resolution for technical issues. Proven ability to design and implement secure, reliable, and scalable systems. Experience working with Swagger, REST APIs, and integrating with third-party APIs. Strong scripting skills in Python, Shell, and the ability to automate tasks efficiently. Deep understanding of programming languages and their build strategies, particularly in CI/CD pipelines. Complete design and implementation of CI/CD processes, optimizing for scalability and reliability. Experience in the management of cloud services for MS SQL/MySQL and NoSQL databases. Familiarity with virtualization technologies (e.g., hypervisors). Understanding of ISO 27001 and GDPR compliance frameworks. Qualification : MCA/ BCA / BEIT / BECE /MSc.IT /Bsc.IT

Description The Technical Lead for AI/ML plays a critical role in driving the technical direction and execution of artificial intelligence and machine learning projects within the organization. This position combines strong technical expertise in AI/ML with leadership skills to guide a team of engineers and data scientists in developing innovative AI/ML solutions. The Technical Lead will collaborate closely with cross-functional teams to translate business requirements into technical designs and drive the successful implementation, testing and deployment of AI/ML models and systems. Responsibilities 1. AI/ML Model Training and Development Lead the development of new AI Models from scratch and fine-tuning existing base models with new data Implement and execute model evaluation experiments to test and pick the best model for a certain task Build high throughput and automated data pipelines to allow Data analysis and model training Lead feature engineering to select the most relevant features in datasets to train models on Pick the right set of evaluation metric to test model candidates for deployment Use MLOps principles to allow continuous model tuning and performance improvements 2. AI/ML Model Deployment: Lead the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance. Implement best practices for model versioning, monitoring, and maintenance to ensure ongoing model accuracy and effectiveness. Collaborate with DevOps and infrastructure teams to integrate AI/ML components into CI/CD pipelines and automated deployment processes. Implement CI/CD practices for AI/ML development, including automated testing, code review processes, and continuous integration pipelines. Automate deployment processes for AI/ML models using tools such as Jenkins, GitLab CI/CD, or similar platforms. 3. Technology Expertise: Demonstrate deep expertise in AI/ML technologies, including TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic. Stay current with advancements in AI/ML research and technologies, evaluating their applicability to the organization's needs and projects. 4. Architecture and Design: Design and implement architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems. Collaborate with data engineers to ensure the availability, quality, and reliability of data sources for AI/ML model training and deployment. 5. Python Development: Utilize Python programming for AI/ML model development, automation scripts, and development of supporting tools and utilities. Collaborate with software engineering teams to integrate AI/ML capabilities into software applications and services. Requirements Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field. Extensive experience (5+ years) in AI/ML development, with a focus on deploying models into production environments. Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic. Experience building architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems. Hands-on experience with CI/CD practices and tools, with a strong understanding of software development lifecycle processes. Proficiency in Python programming and experience with relevant libraries and frameworks for AI/ML development. Experience of Python Pandas and similar languages is a must Worked on pre-processing pipelines ensuring security compliances standards are met Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Strong problem-solving abilities and a passion for innovation and continuous improvement in AI/ML deployment practices. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.