Docker
Kubernetes
Amazon Web Services (AWS)
PythonJob Purpose and Impact
The DevOps Engineer is a key position to strengthen the security automation capabilities which have been identified as a critical area for growth and specialization within Global IT’s scope. As part of the Cyber Intelligence Operation’s DevOps Team, you will be helping shape our automation efforts by building, maintaining and supporting our security infrastructure.
Key Accountabilities
- Collaborate with internal and external partners to understand and evaluate business requirements.
- Implement modern engineering practices to ensure product quality.
- Provide designs, prototypes and implementations incorporating software engineering best practices, tools and monitoring according to industry standards.
- Write well-designed, testable and efficient code using full-stack engineering capability.
- Integrate software components into a fully functional software system.
- Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.
- Proficiency in at least one configuration management or orchestration tool, such as Ansible.
- Experience with cloud monitoring and logging services.
Qualifications
Minimum Qualifications
- Bachelor's degree in a related field or equivalent exp
- Knowledge of public cloud services & application programming interfaces
- Working exp with continuous integration and delivery practices
Preferred Qualifications
- 3-5 years of relevant exp whether in IT, IS, or software development
- Exp in:
- Code repositories such as Git
- Scripting languages (Python & PowerShell)
- Using Windows, Linux, Unix, and mobile platforms within cloud services such as AWS
- Cloud infrastructure as a service (IaaS) / platform as a service (PaaS), microservices, Docker containers, Kubernetes, Terraform, Jenkins
- Databases such as Postgres, SQL, Elastic
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs
PythonAI & 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
Amazon Web Services (AWS)Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for backend, frontend, and mobile applications.
- Manage cloud infrastructure using AWS (EC2, Lambda, S3, VPC, RDS, CloudWatch, ECS/EKS).
- Configure and maintain Docker containers and/or Kubernetes clusters.
- Implement and maintain Infrastructure as Code (IaC) using Terraform / CloudFormation.
- Automate build, deployment, and monitoring processes.
- Manage code repositories using Git/GitHub/GitLab, enforce branching strategies.
- Implement monitoring and alerting using tools like Prometheus, Grafana, CloudWatch, ELK, Splunk.
- Ensure system scalability, reliability, and security.
- Troubleshoot production issues and perform root-cause analysis.
- Collaborate with engineering teams to improve deployment and development workflows.
- Optimize infrastructure costs and improve performance.
Required Skills & Qualifications
- 3+ years of experience in DevOps, SRE, or Cloud Engineering.
- Strong hands-on knowledge of AWS cloud services.
- Experience with Docker, containers, and orchestrators (ECS, EKS, Kubernetes).
- Strong understanding of CI/CD tools: GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline.
- Experience with Linux administration and shell scripting.
- Strong understanding of Networking, VPC, DNS, Load Balancers, Security Groups.
- Experience with monitoring/logging tools: CloudWatch, ELK, Prometheus, Grafana.
- Experience with Terraform or CloudFormation (IaC).
- Good understanding of Node.js or similar application deployments.
- Knowledge of NGINX/Apache and load balancing concepts.
- Strong problem-solving and communication skills.
Preferred/Good to Have
- Experience with Kubernetes (EKS).
- Experience with Serverless architectures (Lambda).
- Experience with Redis, MongoDB, RDS.
- Certification in AWS Solutions Architect / DevOps Engineer.
- Experience with security best practices, IAM policies, and DevSecOps.
- Understanding of cost optimization and cloud cost management.
Amazon Web Services (AWS)- Experience using AWS (that’s just common sense)
- Experience designing and building web environments on AWS, which includes working with services like EC2, ELB, RDS, and S3
- Experience building and maintaining cloud-native applications
- A solid background in Linux/Unix and Windows server system administration
- Experience using https://www.simplilearn.com/tutorials/devops-tutorial/devops-tools" target="_blank">DevOps tools in a cloud environment, such as Ansible, Artifactory, https://www.simplilearn.com/tutorials/docker-tutorial/what-is-docker-container" target="_blank">Docker, GitHub, https://www.simplilearn.com/tutorials/jenkins-tutorial/what-is-jenkins" target="_blank">Jenkins, https://www.simplilearn.com/tutorials/kubernetes-tutorial/what-is-kubernetes" target="_blank">Kubernetes, Maven, and Sonar Qube
- Experience installing and configuring different application servers such as JBoss, Tomcat, and WebLogic
- Experience using monitoring solutions like CloudWatch, ELK Stack, and Prometheus
- An understanding of writing Infrastructure-as-Code (IaC), using tools like CloudFormation or Terraform
- Knowledge of one or more of the most-used programming languages available for today’s cloud computing (i.e., SQL data, XML data, R math, Clojure math, Haskell functional, Erlang functional, Python procedural, and Go procedural languages)
- Experience in troubleshooting distributed systems
- Proficiency in script development and scripting languages
- The ability to be a team player
- The ability and skill to train other people in procedural and technical topics
- Strong communication and collaboration skills
As a special aside, an AWS engineer who works in DevOps should also have experience with:
- The theory, concepts, and real-world application of Continuous Delivery (CD), which requires familiarity with tools like AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline
- An understanding of automation
Go Programming (Golang)
Ruby on Rails (ROR)
RubyPython
JavaHiring for the below position with one of our premium client
Role: Senior DevOps Engineer
Exp:7+ years
Location: Chennai
Key skills: DevOps, Cloud, Python scripting
Description:
Strong analytical and problem-solving skills
Ability to work independently, learn quickly and be proactive
7-9 years overall and at least 3-4 years of hands-on experience in designing and managing DevOps Cloud infrastructure
Experience must include a combination of:
o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)
o Ability to write and maintain code in at least one scripting language (Python preferred)
o Practical knowledge of shell scripting
o Cloud knowledge – AWS, VMware vSphere
o Good understanding and familiarity with Linux o Networking knowledge – Firewalls, VPNs, Load Balancers o Web/Application servers, Nginx, JVM environments
o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.
o Familiarity with logging systems - Logstash, Elasticsearch, Kibana o Git, Jenkins, Jira
If interested kindly apply!
KubernetesDockerAmazon Web Services (AWS)Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building a restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future.
At Toast, our Site Reliability Engineers (SREs) are responsible for keeping all customer-facing services and other Toast production systems running smoothly. SREs are a blend of pragmatic operators and software craftspeople who apply sound software engineering principles, operational discipline, and mature automation to our environments and our codebase. Our decisions are based on instrumentation and continuous observability, as well as predictions and capacity planning.
About this roll* (Responsibilities)
- Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding
- Partner with development teams to improve services through rigorous testing and release procedures
- Participate in system design consulting, platform management, and capacity planning
- Create sustainable systems and services through automation and uplift
- Balance feature development speed and reliability with well-defined service level objectives
Troubleshooting and Supporting Escalations:
- Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding
- Diagnose performance bottlenecks and implement optimizations across infrastructure, databases, web, and mobile applications
- Implement strategies to increase system reliability and performance through on-call rotation and process optimization
- Perform and run blameless RCAs on incidents and outages aggressively, looking for answers that will prevent the incident from ever happening again
Do you have the right ingredients? (Requirements)
- Extensive industry experience with at least 7+ years in SRE and/or DevOps roles
- Polyglot technologist/generalist with a thirst for learning
- Deep understanding of cloud and microservice architecture and the JVM
- Experience with tools such as APM, Terraform, Ansible, GitHub, Jenkins, and Docker
- Experience developing software or software projects in at least four languages, ideally including two of Go, Python, and Java
- Experience with cloud computing technologies ( AWS cloud provider preferred)
Bread puns are encouraged but not required
Python
NodeJS (Node.js)DockerJob Description:
• Contribute to customer discussions in collecting the requirement
• Engage in internal and customer POC’s to realize the potential solutions envisaged for the customers.
• Design/Develop/Migrate VRA blueprints and VRO workflows; strong hands-on knowledge in vROPS and integrations with application and VMware solutions.
• Develop automation scripts to support the design and implementation of VMware projects.
Qualification:
• Maintain current, high-level technical knowledge of the entire VMware product portfolio and future product direction and In depth level knowledge
• Maintain deep technical and business knowledge of cloud computing and networking applications, industry directions, and trends.
• Experience with REST API and/or Python programming. TypeScript/NodeJS backend experience
• Experience with Kubernetes
• Familiarity with DevOps tools like Ansible, Puppet, Terraform
• End to end experience in Architecture, Design and Development of VMware Cloud Automation suite with good exposure to VMware products and/or Solutions.
• Hands-on experience in automation, coding, debugging and release.
• Sound process knowledge from requirement gathering, implementation, deployment and Support.
• Experience in working with global teams, customers and partners with solid communication skills.
• VMware CMA certification would be a plus
• Academic background in MS/BE/B-Tech/ IT/CS/ECE/EE would be preferred.
MongoDBProfile: DevOps Engineer
Experience: 5-8 Yrs
Notice Period: Immediate to 30 Days
Job Descrtiption:
Technical Experience (Must Have):
Cloud: Azure
DevOps Tool: Terraform, Ansible, Github, CI-CD pipeline, Docker, Kubernetes
Network: Cloud Networking
Scripting Language: Any/All - Shell Script, PowerShell, Python
OS: Linux (Ubuntu, RHEL etc)
Database: MongoDB
Professional Attributes: Excellent communication, written, presentation,
and problem-solving skills.
Experience: Minimum of 5-8 years of experience in Cloud Automation and
Application
Additional Information (Good to have):
Microsoft Azure Fundamentals AZ-900
Terraform Associate
Docker
Certified Kubernetes Administrator
Role:
Building and maintaining tools to automate application and
infrastructure deployment, and to monitor operations.
Design and implement cloud solutions which are secure, scalable,
resilient, monitored, auditable and cost optimized.
Implementing transformation from an as is state, to the future.
Coordinating with other members of the DevOps team, Development, Test,
and other teams to enhance and optimize existing processes.
Provide systems support, implement monitoring and logging alerting
solutions that enable the production systems to be monitored.
Writing Infrastructure as Code (IaC) using Industry standard tools and
services.
Writing application deployment automation using industry standard
deployment and configuration tools.
Design and implement continuous delivery pipelines that serve the
purpose of provisioning and operating client test as well as production
environments.
Implement and stay abreast of Cloud and DevOps industry best practices
and tooling.
DockerKubernetesAmazon Web Services (AWS)We are global expert in cloud consulting and service management, focusing exclusively on the Cloud DevOps Space. In short, we strive to be at the forefront in this era of digital disruption by being dynamic, agile and cohesive in providing businesses the solutions needed to leverage it to the next level. Our expert team of Engineers, Programmers, Designers and Business development professionals are the foundations of our firm with the fusion of cutting-edge technology.Nimble IT Consulting is vested in Research and Analysis of Current and Upcoming trends, be it Technology, Business Values and User Experience, we dedicate our efforts tirelessly to be at the pinnacle of the Quality Standards. Devising solutions that are just not only being approved or followed by industry leaders in fact they depend on it. Read more about us: https://nimbleitconsulting.com/" target="_blank">https://nimbleitconsulting.com
What we are looking for
A DevOps Engineer to join our team and provide consulting services to our clients, below is the technology stack we are interested in
Technical skills
- Expertise in implementing and managing Devops CI/CD pipeline. ( either using Jenkins or Azure DevOps )
- At least one AWS or Azure Certification
- Terraform Scripting
- Hands-on experience with git and source code management and release management.
- Experience in DevOps automation tools. And Very well versed with DevOps principles and the Agile Frameworks.
- Working knowledge of scripting using shell, Python, Gradle, Yaml, Ansible or puppet or chef.
- Working knowledge of build systems for various technologies like npm, maven etc.
- Experience and good understanding in any of Cloud platforms like AWS, Azure or Google cloud.
- Hands on Knowledge of Docker and Kubernetes is required.
- Proficient in troubleshooting skills with proven abilities in resolving complex technical issues. Experience with working with ticketing tools (Jira & Service now)
- A programming language like Java, Go , NodeJS is a nice to have.
- Work Permit for United Kingdom ( tier 2 visa ) total duration of visa will be 5 years ( first 2 years and then 3 year extension)
- At the end of the 5 years you will be eligible for British Citizenship by applying for Indefinite leave to remain in the UK
- Learn new technologies - We won’t ever expect you to do the same thing day in day out; we want to
- give you the chance to explore the latest techniques to solve challenging technical problems and help
- you become the best developer you can be.
- Join a growing agile team that are consistently delivering.
- Technical Development Program
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the
basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
PythonContract to hire
Total 8 years of experience and relevant 4 years
• Experience with building and deploying software in the cloud, preferably on Google Cloud Platform (GCP)
• Sound knowledge to build infrastructure as code with Terraform
• Comfortable with test-driven development, testing frameworks and building CI/CD pipelines with version control software Gitlab
• Strong skills of containerisation with Docker, Kubernetes and Helm
• Familiar with Gitlab, systems integration and BDD
• Solid networking skills e.g. IP, DNS, VPN, HTTP/HTTPS
• Scripting experience (Bash, Python, etc.)
• Experience in Linux/Unix administration
• Experience with agile methods and practices (Scrum, Kanban, Continuous Integration, Pair Programming, TDD)
Amazon Web Services (AWS)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon