DevOps Engineer

GCP Cloud Engineer:

• Proficiency in infrastructure as code (Terraform).
• Scripting and automation skills (e.g., Python, Shell). Knowing python is must.
• Collaborate with teams across the company (i.e., network, security, operations) to build complete cloud offerings.
• Design Disaster Recovery and backup strategies to meet application objectives.
• Working knowledge of Google Cloud
• Working knowledge of various tools, open-source technologies, and cloud services
• Experience working on Linux based infrastructure.
• Excellent problem-solving and troubleshooting skills

Skills Required:

- Good experience with programming language Python
- Strong experience in Docker.
- Good knowledge with any of the Cloud Platform like Azure.
- Must be comfortable working in a Linux environment.
- Must have exposure into IOT domain and its protocols ((Zigbee & BLE ,LoRa,Modbus)
- Must be a good team player.
- Strong Communication Skills

DESIRED SKILLS AND EXPERIENCE

 Strong analytical and problem-solving skills

 Ability to work independently, learn quickly and be proactive

 3-5 years overall and at least 1-2 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

Key Responsibilities:-

• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group

• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution

• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code

• Design, develop and maintain the framework for the analytical pipeline

• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation

• Provide input and help implement framework and tools to improve data quality

• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group

• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog

Internshala is a dot com business with the heart of dot org.

We are a technology company on a mission to equip students with relevant skills & practical exposure through internships, fresher jobs, and online trainings. Imagine a world full of freedom and possibilities. A world where you can discover your passion and turn it into your career. A world where your practical skills matter more than your university degree. A world where you do not have to wait till 21 to taste your first work experience (and get a rude shock that it is nothing like you had imagined it to be). A world where you graduate fully assured, fully confident, and fully prepared to stake a claim on your place in the world.

At Internshala, we are making this dream a reality!

👩🏻‍💻 Your responsibilities would include-

• Building and maintaining operational tools for monitoring and analysis of AWS infrastructure and systems
• Actively monitoring the health and performance of all systems and performing benchmarking and tuning of system applications and operating systems
• Setting up container orchestration using Kubernetes or other orchestration system for a monolithic application
• Continually working with development engineers to design the best system architectures and solutions
• Troubleshooting and resolving issues in our development, test, and production environments
• Maintaining reliability of the system and being on-call for mission-critical systems
• Performing infrastructure cost analysis and optimization
• Ensure systems’ compliance with operational risk standards (e.g. network, firewall, OS, logging, monitoring, availability, resiliency)
• Building, mentoring and leading a team of young professionals, if the need arises

🍒 You will get-

• A chance to build and lead an awesome team working on one of the best recruitment and online trainings products in the world that impact millions of lives for the better
• Awesome colleagues & a great work environment
• Loads of autonomy and freedom in your work

💯 You fit the bill if-

• You are proficient with bash, git and git workflows
• You have 3-5 years of experience as a DevOps Engineer or similar software engineering role
• You have excellent attention to detail
• AWS certification preferred but not mandatory

• Work towards improving the following 4 verticals - scalability, availability, security, and cost, for company's workflows and products.
• Help in provisioning, managing, optimizing cloud infrastructure in AWS (IAM, EC2, RDS, CloudFront, S3, ECS, Lambda, ELK etc.)
• Work with the development teams to design scalable, robust systems using cloud architecture for both 0-to-1 and 1-to-100 products.
• Drive technical initiatives and architectural service improvements.
• Be able to predict problems and implement solutions that detect and prevent outages.
• Mentor/manage a team of engineers.
• Design solutions with failure scenarios in mind to ensure reliability.
• Document rigorously to keep track of all changes/upgrades to the infrastructure and as well share knowledge with the rest of the team
• Identify vulnerabilities during development with actionable information to empower developers to remediate vulnerabilities
• Automate the build and testing processes to consistently integrate code
• Manage changes to documents, software, images, large web sites, and other collections of code, configuration, and metadata among disparate teams

• Administration and Support for Azure DevOps Server/Services
• Migration from Azure DevOps Server to Azure DevOps Services (SaaS)
• Process Template Customization and Deployment model
• Migration, Upgrade, Monitor, and Maintenance of ADS Instance
• Automation using REST API to build Extensions and Custom Reporting
• Expert in all Modules of Azure DevOps Server/Service (Work Item, SCM/VC, Build, Release, Test, Reporting Management)"

• CICD Orchestration tools and other SCM/VC tools

• Microsoft MCSD Application Lifecycle Management certified
• A bachelor or master degree with a minimum of 6 years relevant work experience in Azure DevOps Server/Services (SaaS)
• Good communication skills
• Strong knowledge of application lifecycle workflows and processes involved in the design, development, deployment, test, and maintenance of software systems in the Windows environment
• Visual Studio and the .NET Framework experience is required "

• Administration and Support for Azure DevOps Server/Services
• Migration from Azure DevOps Server to Azure DevOps Services (SaaS)
• Process Template Customization and Deployment model
• Work with the user community to adopt new features, enable new use cases, and help resolve any issues
• Create customizations and tools to help support the team’s needs (PM, Dev, Test, & Ops)
• Take the lead in the validation of the application.
• Monitor the health of the solution and take proactive steps to ensure reliable availability and performance
• Manage patches and updates for tooling solutions and related hosting environments including the operating system
• Automate the process for Maintenance"