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Primary Skills – SDA, DNAC, Cisco ISE, Routing and switching and Troubleshooting NAC, 802.1x, Supplicant configuration,
Switching Skills- IOS upgrade, SNMP, VLAN, STP, VSL
Routing Skills-OSPF, BGP, ISIS
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

AI & ML (45 Days – Live Hands‑On)
Program Fee: ₹25,000
Duration: 45 Days
Mode: Hybrid (Online Sessions + Live Lab Access)
Eligibility: Freshers, Final‑Year Students, and Career Switchers
About the Internship
This intensive 45‑day internship program is designed for freshers who want to build strong, industry‑relevant skills in Cloud Infrastructure, Cybersecurity, and AI/ML model development. The program offers live production hands‑on training, allowing interns to work on real-world architectures, security workflows, and AI/ML deployments.
Participants will receive end‑to‑end exposure to modern cloud platforms, DevOps practices, security operations, and machine learning deployment, making them job‑ready for roles like:
- Cloud/Infra Engineer
- DevOps Engineer
- Security Analyst
- AI/ML Engineer
- Site Reliability Engineer (SRE)
Key Highlights
- 45 days of practical, mentor-led training
- Live production-style projects and deployments
- Hands‑on experience with:
- AWS / Azure Cloud
- Terraform, CI/CD, Docker, Kubernetes
- Security Hardening & IAM
- Python ML pipelines & model deployment
- Architect & deploy real systems using best practices
- Build portfolio-ready projects
- Receive an industry-recognized Internship Certificate
What You Will Learn
1️⃣ Cloud Infrastructure & DevOps
- Cloud fundamentals (AWS/Azure/GCP)
- Linux administration & scripting
- VPC, Subnets, Routing, NAT, Firewalls
- EC2 provisioning & autoscaling
- Load balancing & High Availability
- Terraform for Infrastructure as Code
- CI/CD pipelines using Jenkins / GitHub Actions
- Docker containerization & Kubernetes basics
2️⃣ Cybersecurity & Cloud Security
- IAM roles, policies, access control
- Server security & hardening
- SSL/TLS, encryption, key management
- Secure VPC & subnet design
- Threat detection & logging
- Secrets management
- Network segmentation & firewall best practices
3️⃣ AI & Machine Learning
- Python for ML
- Supervised and unsupervised algorithms
- Data preprocessing & model training
- Model evaluation & optimization
- Build ML inference APIs using FastAPI/Flask
- Containerize and deploy ML models to cloud
- Integrate monitoring for ML workflows
✅ Live Hands‑On Projects
Interns will work on real-world, production-grade projects such as:
- Deploy a secure 3‑tier web application on cloud
- Automate infra provisioning using Terraform
- Build CI/CD pipelines for automated deployments
- Harden servers & configure security groups, IAM
- Develop and deploy an ML model as a cloud API
- Create monitoring dashboards with Prometheus/Grafana
- End-to-end system deployment with logging and alerting
Each intern will complete a Capstone Project and present it during the final evaluation.
✅ Internship Deliverables
- Internship Completion Certificate
- 3+ Production‑level projects
- GitHub portfolio with all code and deployments
- Cloud & ML documentation
- Resume enhancement and guidance
- Career mentoring + interview preparation
✅ Who Should Apply
This internship is ideal for:
- Fresh graduates
- Final‑year engineering or IT students
- BSc, BCA, MCA, B.Tech learners
- Professionals switching careers to Cloud/DevOps/AI
- Anyone seeking hands‑on, real‑time industry experience
✅ Program Fee
₹25,000/- (includes training, labs, live‑project access, certificate, and mentorship)
✅ Certificate Provided
All participants will receive a verified Internship Certificate, including:
- Candidate Name
- Internship Duration & Dates
- Skills Covered
- Project Evaluation Score
- Authorized Signatory & Company Seal

Global digital transformation solutions provider.
Job Details
- Job Title: DevOps and SRE -Technical Project Manager
- Industry: Global digital transformation solutions provider
- Domain - Information technology (IT)
- Experience Required: 12-15 years
- Employment Type: Full Time
- Job Location: Bangalore, Chennai, Coimbatore, Hosur & Hyderabad
- CTC Range: Best in Industry
Job Description
Company’s DevOps Practice is seeking a highly skilled DevOps and SRE Technical Project Manager to lead large-scale transformation programs for enterprise customers. The ideal candidate will bring deep expertise in DevOps and Site Reliability Engineering (SRE), combined with strong program management, stakeholder leadership, and the ability to drive end-to-end execution of complex initiatives.
Key Responsibilities
- Lead the planning, execution, and successful delivery of DevOps and SRE transformation programs for enterprise clients, including full oversight of project budgets, financials, and margins.
- Partner with senior stakeholders to define program objectives, roadmaps, milestones, and success metrics aligned with business and technology goals.
- Develop and implement actionable strategies to optimize development, deployment, release management, observability, and operational workflows across client environments.
- Provide technical leadership and strategic guidance to cross-functional engineering teams, ensuring alignment with industry standards, best practices, and company delivery methodologies.
- Identify risks, dependencies, and blockers across programs, and proactively implement mitigation and contingency plans.
- Monitor program performance, KPIs, and financial health; drive corrective actions and margin optimization where necessary.
- Facilitate strong communication, collaboration, and transparency across engineering, product, architecture, and leadership teams.
- Deliver periodic program updates to internal and client stakeholders, highlighting progress, risks, challenges, and improvement opportunities.
- Champion a culture of continuous improvement, operational excellence, and innovation by encouraging adoption of emerging DevOps, SRE, automation, and cloud-native practices.
- Support GitHub migration initiatives, including planning, execution, troubleshooting, and governance setup for repository and workflow migrations.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related technical discipline.
- 15+ years of IT experience, including at least 5 years in a managerial or program leadership role.
- Proven experience leading large-scale DevOps and SRE transformation programs with measurable business impact.
- Strong program management expertise, including planning, execution oversight, risk management, and financial governance.
- Solid understanding of Agile methodologies (Scrum, Kanban) and modern software development practices.
- Deep hands-on knowledge of DevOps principles, CI/CD pipelines, automation frameworks, Infrastructure as Code (IaC), and cloud-native tooling.
- Familiarity with SRE practices such as service reliability, observability, SLIs/SLOs, incident management, and performance optimization.
- Experience with GitHub migration projects—including repository analysis, migration planning, tooling adoption, and workflow modernization.
- Excellent communication, stakeholder management, and interpersonal skills with the ability to influence and lead cross-functional teams.
- Strong analytical, organizational, and problem-solving skills with a results-oriented mindset.
- Preferred certifications: PMP, PgMP, ITIL, Agile/Scrum Master, or relevant technical certifications.
Skills: Devops Tools, Cloud Infrastructure, Team Management
Must-Haves
DevOps principles (5+ years), SRE practices (5+ years), GitHub migration (3+ years), CI/CD pipelines (5+ years), Agile methodologies (5+ years)
Notice period - 0 to 15days only
Key responsibilities
• Design, build, and maintain robust CI/CD pipelines using Azure DevOps Services (Azure Pipelines) and Git-based workflows.
• Implement and manage infrastructure as code (IaC) using ARM templates, Bicep, and/or Terraform for repeatable environment provisioning.
• Containerize applications (Docker) and manage container orchestration platforms such as AKS (Azure Kubernetes Service).
• Automate build, test, release, and rollback processes; integrate automated testing and quality gates into pipelines.
• Monitor and improve platform reliability and observability using logging and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).
• Drive platform security and compliance through pipeline controls, secrets management (Key Vault / Vault), and secure configuration practices.
• Implement cost-optimization and governance for Azure resources (tags, policies, budgets).
• Troubleshoot build/release failures, production incidents, and performance bottlenecks; perform root-cause analysis and implement permanent fixes.
• Mentor developers in Git workflows, pipeline authoring, best practices for IaC, and cloud-native design.
• Maintain clear documentation: runbooks, deployment playbooks, architecture diagrams, and pipeline templates.
Required skills & experience
• 5+ years hands-on experience working with Azure and cloud-native application delivery.
• Deep experience with Azure DevOps (Repos, Pipelines, Artifacts, Boards).
• Strong IaC skills with Terraform, ARM templates, or Bicep.
• Solid experience with CI/CD design and YAML pipeline authoring.
• Practical knowledge of containerization (Docker) and Kubernetes — preferably AKS.
• Scripting skills: PowerShell, Bash, and/or Python for automation.
• Experience with Git workflows (branching strategies, PRs, code reviews).
• Familiarity with configuration management and secrets management (Azure Key Vault, HashiCorp Vault).
• Understanding of networking, identity (Azure AD), and security fundamentals in Azure.
• Strong troubleshooting, debugging, and incident response skills.
• Good collaboration and communication skills; ability to work across teams.
Certification
AZ-400: Microsoft Certified: DevOps Engineer Expert or AZ-104 or AZ 305 or Terraform Associate.
What does a successful Senior DevOps Engineer do at Fiserv?
This role’s focus will be on contributing and enhancing our DevOps environment within Issuer Solution group, where our cross functional Scrum teams are delivering solutions built on cutting-edge mobile technology and products. You will be expected to support across the wider business unit, leading DevOps practices and initiatives.
What will you do:
• Build, manage, and deploy CI/CD pipelines.
• DevOps Engineer - Helm Chart, Rundesk, Openshift
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline.
• Implementing various development, testing, automation tools, and IT infrastructure
• Optimize and automate release/development cycles and processes.
• Be part of and help promote our DevOps culture.
• Identify and implement continuous improvements to the development practice
What you must have:
• 3+ years of experience in devops with hands-on experience in the following:
- Writing automation scripts for deployments and housekeeping using shell scripts (bash) and ansible playbooks
- Building docker images and running/managing docker instances
- Building Jenkins pipelines using groovy scripts
- Working knowledge on kubernetes including application deployments, managing application configurations and persistence volumes
• Has good understanding on infrastructure as code
• Ability to write and update documentation
• Demonstrate a logical, process orientated approach to problems and troubleshooting
• Ability to collaborate with multi development teams
What you are preferred to have:
• 8+ years of development experience
• Jenkins administration experience
• Hands-on experience in building and deploying helm charts
Process Skills:
• Should have worked in Agile Project
DevOps Lead Engineer
We are seeking a skilled DevOps Lead Engineer with 8 to 10 yrs. of experience who handles the entire DevOps lifecycle and is accountable for the implementation of the process. A DevOps Lead Engineer is liable for automating all the manual tasks for developing and deploying code and data to implement continuous deployment and continuous integration frameworks. They are also held responsible for maintaining high availability of production and non-production work environments.
Essential Requirements (must have):
• Bachelor's degree preferable in Engineering.
• Solid 5+ experience with AWS, DevOps, and related technologies
Skills Required:
Cloud Performance Engineering
• Performance scaling in a Micro-Services environment
• Horizontal scaling architecture
• Containerization (such as Dockers) & Deployment
• Container Orchestration (such as Kubernetes) & Scaling
DevOps Automation
• End to end release automation.
• Solid Experience in DevOps tools like GIT, Jenkins, Docker, Kubernetes, Terraform, Ansible, CFN etc.
• Solid experience in Infra Automation (Infrastructure as Code), Deployment, and Implementation.
• Candidates must possess experience in using Linux, Jenkins, and ample experience in Configuring and automating the monitoring tools.
• Strong scripting knowledge
• Strong analytical and problem-solving skills.
• Cloud and On-prem deployments
Infrastructure Design & Provisioning
• Infra provisioning.
• Infrastructure Sizing
• Infra Cost Optimization
• Infra security
• Infra monitoring & site reliability.
Job Responsibilities:
• Responsible for creating software deployment strategies that are essential for the successful
deployment of software in the work environment and provide stable environment for delivery of
quality.
• The DevOps Lead Engineer is accountable for designing, building, configuring, and optimizing
automation systems that help to execute business web and data infrastructure platforms.
• The DevOps Lead Engineer is involved in creating technology infrastructure, automation tools,
and maintaining configuration management.
• The Lead DevOps Engineer oversees and leads the activities of the DevOps team. They are
accountable for conducting training sessions for the juniors in the team, mentoring, career
support. They are also answerable for the architecture and technical leadership of the complete
DevOps infrastructure.
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)

at Altimetrik
DevOps Architect
Experience: 10 - 12+ year relevant experience on DevOps
Locations : Bangalore, Chennai, Pune, Hyderabad, Jaipur.
Qualification:
• Bachelors or advanced degree in Computer science, Software engineering or equivalent is required.
• Certifications in specific areas are desired
Technical Skillset: Skills Proficiency level
- Build tools (Ant or Maven) - Expert
- CI/CD tool (Jenkins or Github CI/CD) - Expert
- Cloud DevOps (AWS CodeBuild, CodeDeploy, Code Pipeline etc) or Azure DevOps. - Expert
- Infrastructure As Code (Terraform, Helm charts etc.) - Expert
- Containerization (Docker, Docker Registry) - Expert
- Scripting (linux) - Expert
- Cluster deployment (Kubernetes) & maintenance - Expert
- Programming (Java) - Intermediate
- Application Types for DevOps (Streaming like Spark, Kafka, Big data like Hadoop etc) - Expert
- Artifactory (JFrog) - Expert
- Monitoring & Reporting (Prometheus, Grafana, PagerDuty etc.) - Expert
- Ansible, MySQL, PostgreSQL - Intermediate
• Source Control (like Git, Bitbucket, Svn, VSTS etc)
• Continuous Integration (like Jenkins, Bamboo, VSTS )
• Infrastructure Automation (like Puppet, Chef, Ansible)
• Deployment Automation & Orchestration (like Jenkins, VSTS, Octopus Deploy)
• Container Concepts (Docker)
• Orchestration (Kubernetes, Mesos, Swarm)
• Cloud (like AWS, Azure, GoogleCloud, Openstack)
Roles and Responsibilities
• DevOps architect should automate the process with proper tools.
• Developing appropriate DevOps channels throughout the organization.
• Evaluating, implementing and streamlining DevOps practices.
• Establishing a continuous build environment to accelerate software deployment and development processes.
• Engineering general and effective processes.
• Helping operation and developers teams to solve their problems.
• Supervising, Examining and Handling technical operations.
• Providing a DevOps Process and Operations.
• Capacity to handle teams with leadership attitude.
• Must possess excellent automation skills and the ability to drive initiatives to automate processes.
• Building strong cross-functional leadership skills and working together with the operations and engineering teams to make sure that systems are scalable and secure.
• Excellent knowledge of software development and software testing methodologies along with configuration management practices in Unix and Linux-based environment.
• Possess sound knowledge of cloud-based environments.
• Experience in handling automated deployment CI/CD tools.
• Must possess excellent knowledge of infrastructure automation tools (Ansible, Chef, and Puppet).
• Hand on experience in working with Amazon Web Services (AWS).
• Must have strong expertise in operating Linux/Unix environments and scripting languages like Python, Perl, and Shell.
• Ability to review deployment and delivery pipelines i.e., implement initiatives to minimize chances of failure, identify bottlenecks and troubleshoot issues.
• Previous experience in implementing continuous delivery and DevOps solutions.
• Experience in designing and building solutions to move data and process it.
• Must possess expertise in any of the coding languages depending on the nature of the job.
• Experience with containers and container orchestration tools (AKS, EKS, OpenShift, Kubernetes, etc)
• Experience with version control systems a must (GIT an advantage)
• Belief in "Infrastructure as a Code"(IaaC), including experience with open-source tools such as terraform
• Treats best practices for security as a requirement, not an afterthought
• Extensive experience with version control systems like GitLab and their use in release management, branching, merging, and integration strategies
• Experience working with Agile software development methodologies
• Proven ability to work on cross-functional Agile teams
• Mentor other engineers in best practices to improve their skills
• Creating suitable DevOps channels across the organization.
• Designing efficient practices.
• Delivering comprehensive best practices.
• Managing and reviewing technical operations.
• Ability to work independently and as part of a team.
• Exceptional communication skills, be knowledgeable about the latest industry trends, and highly innovative
Requirements
You will make an ideal candidate if you have:
-
Experience of building a range of Services in a Cloud Service provider
-
Expert understanding of DevOps principles and Infrastructure as a Code concepts and techniques
-
Strong understanding of CI/CD tools (Jenkins, Ansible, GitHub)
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Managed an infrastructure that involved 50+ hosts/network
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3+ years of Kubernetes experience & 5+ years of experience in Native services such as Compute (virtual machines), Containers (AKS), Databases, DevOps, Identity, Storage & Security
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Experience in engineering solutions on cloud foundation platform using Infrastructure As Code methods (eg. Terraform)
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Security and Compliance, e.g. IAM and cloud compliance/auditing/monitoring tools
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Customer/stakeholder focus. Ability to build strong relationships with Application teams, cross functional IT and global/local IT teams
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Good leadership and teamwork skills - Works collaboratively in an agile environment
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Operational effectiveness - delivers solutions that align to approved design patterns and security standards
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Excellent skills in at least one of following: Python, Ruby, Java, JavaScript, Go, Node.JS
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Experienced in full automation and configuration management
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A track record of constantly looking for ways to do things better and an excellent understanding of the mechanism necessary to successfully implement change
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Set and achieved challenging short, medium and long term goals which exceeded the standards in their field
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Excellent written and spoken communication skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences
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Built effective networks across business areas, developing relationships based on mutual trust and encouraging others to do the same
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A successful track record of delivering complex projects and/or programmes, utilizing appropriate techniques and tools to ensure and measure success
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A comprehensive understanding of risk management and proven experience of ensuring own/others' compliance with relevant regulatory processes
Essential Skills :
-
Demonstrable Cloud service provider experience - infrastructure build and configurations of a variety of services including compute, devops, databases, storage & security
-
Demonstrable experience of Linux administration and scripting preferably Red Hat
-
Experience of working with Continuous Integration (CI), Continuous Delivery (CD) and continuous testing tools
-
Experience working within an Agile environment
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Programming experience in one or more of the following languages: Python, Ruby, Java, JavaScript, Go, Node.JS
-
Server administration (either Linux or Windows)
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Automation scripting (using scripting languages such as Terraform, Ansible etc.)
-
Ability to quickly acquire new skills and tools
Required Skills :
-
Linux & Windows Server Certification
Job Dsecription: (8-12 years)
○ Develop best practices for team and also responsible for the architecture
○ solutions and documentation operations in order to meet the engineering departments quality and standards
○ Participate in production outage and handle complex issues and works towards Resolution
○ Develop custom tools and integration with existing tools to increase engineering Productivity
Required Experience and Expertise
○ Deep understanding of Kernel, Networking and OS fundamentals
○ Strong experience in writing helm charts.
○ Deep understanding of K8s.
○ Good knowledge in service mesh.
○ Good Database understanding
Notice Period: 30 day max
Your skills and experience should cover:
-
5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).
-
Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.
-
5+ years of experience using one or more modern programming languages (Python, Node.js).
-
Hands-on experience migrating data to the AWS cloud platform
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Experience with Scrum/Agile methodology.
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Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)
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Experience with AWS Data Storage Tools.
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Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.
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Experience working with GIT, or similar tools.
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Ability to communicate and represent AWS Recommendations and Standards.
The following areas are highly advantageous:
-
Experience with Docker
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Experience with PostgreSQL database


