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Network Monitoring Tools- Cisco Prime (Integration, monitoring, and troubleshooting)
Must have hands on experience in Implementing NAC,802.1x (Wired & Wireless)
Strong knowledge on CAMPUS LAN Architecture and implementation
Hands on experience in Routing, Switching, Cisco SDA, DNAC, Cisco ISE, Assurance
Working experience in Cisco prime infra, Monitoring, Integration and Heat map generation
Should have detailed technical understanding, troubleshooting of STP protocols (STP, PVST, RSTP, MSTP)
Perform IOS upgrades on Switches and WLCs
Troubleshoot skills on Quality of Service, Multicast and HSRP, Dot1x protocols, IPSLA
Troubleshooting skills on Cisco VSS, VSL and stacking technologies
Should have detailed technical understanding, troubleshooting and support of, Routing protocols (OSPF, BGP), MPLS in an enterprise environment.
Perform root cause and troubleshoot network outages
Should be proficient in Wireless technology, implementation, and troubleshooting
Deliver reports on the actions performed.
Hands-on experience with the networking products Like Cisco 6800, 9500,9400,9300, 3800, 2960x and 3650 switches. Juniper EX8200,EX4200,EX3300 and EX2200 switches
Strong ability to troubleshoot complex network issues and Identify, diagnose, and resolve different types of network problems.
Secondary Skills –
CCNP Certification
Project Management: Managing individual network projects within the scope of the Network Team
Excellent technical and business communication skills, both oral and written
We are looking for an AI & Frontend Development Intern who is passionate about building user-friendly web interfaces and exploring how AI can transform design and development workflows. This is not a traditional frontend role, you’ll work at the intersection of AI tools and web development, experimenting, prototyping, and integrating AI into real-world applications.
If you’re curious, self-driven, and excited to merge creativity with cutting-edge tech, you’ll thrive here
.
What You’ll do:
Work with AI-first coding tools (GitHub Copilot, Cursor, Codeium, etc.) to help create responsive and modern web pages.
Use AI to guide you in writing clean and accessible code with web standards like HTML5, CSS, and JavaScript (ESNext).
Experiment with AI-assisted design-to-code workflows (e.g., Figma AI → Tailwind) to quickly style and refine components.
Rely on AI debugging support to identify and fix basic UI issues across browsers and devices.
Collaborate with designers and teammates using AI-driven tools that make feedback, reviews, and teamwork smoother.
Stay curious and explore how developers today use AI with modern learning and experimenting tools (like Vite, TypeScript, and Next.js) as you grow.
What we are looking for:
AI Exploration & Experimentation:
Research, test, and use emerging AI tools (e.g., ChatGPT, GitHub Copilot, Galileo AI, Framer, Lovable, Scade) that can enhance frontend development workflows.
Rapidly adapt to new AI technologies to improve UI coding efficiency, component generation, and design-to-code translation.
Use AI capabilities to generate and optimize HTML/CSS/JS code, create responsive layouts, build React components, and develop interactive prototypes.
Experiment with AI-powered tools to streamline performance optimization, accessibility improvements, and cross-browser compatibility.
Work hands-on with code to bring AI-powered design concepts to life.
Bridge the gap between design prototypes and working products.
2. Frontend Development Skills:
Use AI coding tools to learn and work with HTML, CSS, and JavaScript — the basic building blocks of the web.
Build responsive websites (that adapt to all screen sizes) with the support of AI and frameworks like Bootstrap or Tailwind CSS.
Practice connecting websites with APIs (to fetch or send data) using AI for guidance and examples.
Collaborate with the team using Git and GitHub, with AI helping you understand version control and teamwork best practices.
3. Collaboration:
Document experiments, workflows, and outcomes for team knowledge-sharing.
Translate AI tool capabilities into clear, actionable insights for developers and designers.
Clearly explain AI tool capabilities and project outcomes to non-technical team members.
Work effectively in a fast-paced, iterative, and collaborative environment.
Stay open to feedback and thrive in ambiguity.
Educational Qualifications:
Currently pursuing or recently completed a Bachelor’s degree in Computer Science, Information Technology, or related field.
Candidates from other disciplines are welcome if they have completed relevant certifications or project experience in frontend development.
Passionate about AI in design either experienced with tools or eager to dive deep.
Demonstrates curiosity, self-drive, and comfort with experimentation.
Why Join Us?
Gain hands-on experience in real-world AI first projects.
Opportunity to work on modern technologies in a collaborative environment.
A chance to convert your internship into a full-time opportunity based on performance.
We are seeking a highly skilled and proactive DevOps Engineer with 4+ years of experience to join our dynamic team. This role requires strong technical expertise across cloud infrastructure, CI/CD pipelines, container orchestration, and infrastructure as code (IaC). The ideal candidate should also have direct client-facing experience and a proactive approach to managing both internal and external stakeholders.
Key Responsibilities:
Collaborate with cross-functional teams and external clients to understand infrastructure requirements and implement DevOps best practices.
Design, build, and maintain scalable cloud infrastructure on AWS (EC2, S3, RDS, ECS, etc.).
Develop and manage infrastructure using Terraform or CloudFormation.
Manage and orchestrate containers using Docker and Kubernetes (EKS).
Implement and maintain CI/CD pipelines using Jenkins or GitHub Actions.
Write robust automation scripts using Python and Shell scripting.
Monitor system performance and availability, and ensure high uptime and reliability.
Execute and optimize SQL queries for MSSQL and PostgreSQL databases.
Maintain clear documentation and provide technical support to stakeholders and clients.
Required Skills:
Minimum 4+ years of experience in a DevOps or related role.
Proven experience in client-facing engagements and communication.
Strong knowledge of AWS services – EC2, S3, RDS, ECS, etc.
Proficiency in Infrastructure as Code using Terraform or CloudFormation.
Hands-on experience with Docker and Kubernetes (EKS).
Strong experience in setting up and maintaining CI/CD pipelines with Jenkins or GitHub.
Solid understanding of SQL and working experience with MSSQL and PostgreSQL.
Proficient in Python and Shell scripting.
Preferred Qualifications:
AWS Certifications (e.g., AWS Certified DevOps Engineer) are a plus.
We’re looking for a skilled DevOps Engineer to help us build and maintain reliable, secure, and scalable infrastructure. You will work closely with our development, product, and security teams to streamline deployments, improve performance, and ensure cloud infrastructure resilience.
Responsibilities:
● Deploy, manage, and monitor infrastructure on Google Cloud Platform (GCP)
● Build CI/CD pipelines using Jenkins and integrate them with Git workflows
● Design and manage Kubernetes clusters and helm-based deployments
● Manage infrastructure as code using Terraform
● Set up logging, monitoring, and alerting (Stackdriver, Prometheus, Grafana)
● Ensure security best practices across cloud resources, networks, and secrets
● Automate repetitive operations and improve system reliability
● Collaborate with developers to troubleshoot and resolve issues in staging/production environments
What We’re Looking For:
Required Skills:
● 1–3 years of hands-on experience in a DevOps or SRE role
2. Should have working experience in Docker, Microservices Architecture Application Deployment, GitHub Container Registry, GitHub Actions, Load Balancer, Nginx Web server,
3. Should have working expertise in CI/CD tool
4. Should have working experience with the bash script
5. Good to have at least one cloud platform services knowledge
This role requires a balance between hands-on infrastructure-as-code deployments as well as involvement in operational architecture and technology advocacy initiatives across the Numerator portfolio.
Responsibilities
Selects, develops, and evaluates local personnel to ensure the efficient operation of the function
Leads and mentors local DevOps team members throughout the organisation..
Stays current with industry standards.
Work across engineering team to help define scope and task assignments
Participate in code reviews, design work and troubleshooting across business functions, multiple teams and product groups to help communicate, document and address infrastructure issues.
Look for innovative ways to improve observability, monitoring of large scale systems over a variety of technologies across the Numerator organization.
Participate in the creation of training material, helping teams embrace a culture of DevOps with self-healing and self-service ecosystems. This includes discovery, testing and integration of third party solutions in product roadmaps.
Lead by example and evangelize DevOps best practices within the team and within the organization and product teams in Numerator.
Technical Skills
2+ years of experience in cloud-based systems, in a SRE or DevOps position
Professional and positive approach, self-motivated, strong in building relationships, team player, dynamic, creative with the ability to work on own initiatives.
Excellent oral and written communication skills.
Availability to participate in after-hours on-call support with your fellow engineers and help improve a team’s on-call process where necessary.
Strong analytical and problem solving mindset combined with experience of troubleshooting large-scale systems.
Working knowledge of networking, operating systems and packaging/build systems ie. AWS Linux, Ubuntu, PIP and NPM, Terraform, Ansible etc.
Strong working knowledge of Serverless and Kubernetes based environments in AWS, Azure and Google Cloud Platform (GCP).
Experience in managing highly redundant data stores, file systems and services both in the cloud and on-premise including both data transfer, redundancy and cost-management.
Ability to quickly stand up AWS or other cloud-based platform services in isolation or within product environments to test out a variety of solutions or concepts before developing production-ready solutions with the product teams.
Bachelors or, Masters in Science, or Post Doctorate in Computer Science or related field, or equivalent work experience.
Desired Skills & Experience: Projects/Internships with coding experience in either of Javascript, Python, Golang, Java etc. Hands-on scripting and software development fluency in any programming language (Python, Go, Node, Ruby). Basic understanding of Computer Science fundamentals - Networking, Web Architecture etc. Infrastructure automation experience with knowledge of at least a few of these tools: Chef, Puppet, Ansible, CloudFormation, Terraform, Packer, Jenkins etc. Bonus points if you have contributed to open source projects, participated in competitive coding platforms like Hackerearth, CodeForces, SPOJ etc. You’re willing to learn various new technologies and concepts. The “cloud-native” field of software is evolving fast and you’ll need to quickly learn new technologies as required. Communication: You like discussing a plan upfront, welcome collaboration, and are an excellent verbal and written communicator. B.E/B.Tech/M.Tech or equivalent experience.
Position: Cloud Analyst Level 1 Location – Pune Experience - 1.5 to 3 YR Payroll: Direct with Client Salary Range: 3 to 5 Lacs (depending on existing) Role and Responsibility • Good understanding and Experience on AWS CloudWatch for ES2, Amazon Web Services, and Resources, and other sources. • Collect and Store logs • Monitor and Store Logs • Log Analyze • Configure Alarm • Configure Dashboard • Preparation and following of SOP's, Documentation. • Good understanding AWS in DevOps. • Experience with AWS services ( EC2, ECS, CloudWatch, VPC, Networking ) • Experience with a variety of infrastructure, application, and log monitoring tools ~ Prometheus, Grafana, • Familiarity with Docker, Linux, and Linux security • Knowledge and experience with container-based architectures like Docker • Experience on performing troubleshooting on AWS service. • Experience in configuring services in AWS like EC2, S3, ECS • Experience with Linux system administration and engineering skills on Cloud infrastructure • Knowledge of Load Balancers, Firewalls, and network switching components • Knowledge of Internet-based technologies - TCP/IP, DNS, HTTP, SMTP & Networking concepts • Knowledge of security best practices • Comfortable 24x7 supporting Production environments • Strong communication skills
Job Description :
As a Devops Engineer you will work broadly across the software development lifecycle. We are a close-knit and high performant team. Skills include deploying on AWS using Docker, ECS via CI/CD cloud frameworks and DataDog.
Responsibilities
Collaborate with development teams working on mobile apps.
Write and maintain infrastructure-as-code on AWS
Configure, secure, and optimize deployments of EC2, ECS, RDS, VPC, S3, LB, Cloudfront, API Gateway, ELB, Lambda, and more.
Proactively monitor performance and stability of our cloud platform serving a global
Ensure 24X7 security for all cloud related services.
Automate all aspects of the software development lifecycle with a focus on agility
Requirements
3+ years working with AWS to serve live, customer-facing applications
Demonstrable Python skills (or another high-level language)
Excellent written and verbal communication, and a collaborative approach. This is a team-player role.
Solid Linux system administration, troubleshooting and performance analysis skills
Good to have Skills
Experience managing highly-available, customer-facing environments on AWS or another cloud PaaS
Troubleshooting and performance tuning of microservice deployments
Linux containers and/or serverless application models
Experience with operations – incident triage, response, and analysis
We love generalists. You should have hands-on skills with at least 50% (75% for Senior level) of the following: Apache, Nginx, Memcached, Redis, ElasticSearch, CDNs, Hadoop, Docker, AWS Lambda, Vagrant, Network Analysis Tools, Linux, NFS, Glusterfs, AWS APIs and CLI Tools, EC2 Autoscaling, Ruby, Python, Bash, Jenkins, Haproxy, Git, SVN, DNS, HTTP Headers, HTTP Caching, SSL, RESTFUL APIs, MySQL, PostgreSQL, RDS, Nagios, Graphite, Cassandra, MongoDB, Puppet/Chef/Ansible/Saltstack
Professional software development experience is a plus
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