DevOps Engineer

Technical Skills:

• Hands-on experience with AWS, Google Cloud Platform (GCP), and Microsoft Azure cloud computing
• Proficiency in Windows Server and Linux server environments
• Proficiency with Internet Information Services (IIS), Nginx, Apache, etc.
• Experience in deploying .NET applications (ASP.NET, MVC, Web API, WCF, etc.),  .NET Core, Python and Node.js  applications etc.
• Familiarity with GitLab or GitHub for version control and Jenkins for CI/CD processes

Requirements:

• Previously help a DevOps Engineer or System Engineer role

• 4+ years of production Linux system admin experience in high traffic environment

• 1+ years of experience with Amazon AWS and related services (instances, ELB,

   EBS, S3, etc.) and abstractions on top of AWS.

• Strong understanding of network fundamentals, IP and related services (DNS, VPN, firewalls, etc.) and    

   security concerns.

• Experience in running Docker and Kubernetes clusters in production.

• Love automating mundane tasks and make developers life easy

• Must be able to code in, at a minimum, Python (or Ruby) and Bash.

• Non-trivial production experience with Saltstack and/or Puppet, Composer,Jenkins, GIT

• Agile software development best practices - continuous integration, releases,branches, etc.

• Experience with modern monitoring tools; capacity planning.

• Some experience with MySQL, PostgreSQL, ElasticSearch, Node.js, and PHP is a plus.

• Self-motivated, fast learner, detail-oriented, team player with a sense of humor

Experience in managing CI/CD using Jenkins.

DevOps Systems Engineer with experience in Docker Containers, Docker Swarm, Docker Compose, Ansible, Jenkins and other tools. As part of this role she/he must work with the container best practices in design, development and implementation.

At Least 4 Years of experience in DevOps with knowledge of:

• Docker
• Docker Cloud / Containerization
• DevOps Best Practices
• Distributed Applications
• Deployment Architecture
• Atleast AWS Experience
• Exposure to Kubernetes / Serverless Architecture

Skills:

• 3-7+ years of experience in DevOps Engineering
• Strong experience with Docker Containers, Implementing Docker Containers, Container Clustering
• Experience with Docker Swarm, Docker Compose, Docker Engine
• Experience with Provisioning and managing VM's - Virtual Machines
• Experience / strong knowledge with Network Topologies, Network Research,
• Jenkins, BitBucket, Jira
• Ansible or other Automation Configuration Management System tools
• Scripting & Programming using languages such as BASH, Perl, Python, AWK, SED, PHP, Shell
• Linux Systems Administration -: Redhat

Additional Preference:

Security, SSL configuration, Best Practices

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

• Proficient in Linux Commands line and troubleshooting.
• Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
• Hands-on experience with CI tooling preferably with Jenkins.
• Proficient in deployment using Ansible.
• Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
• Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
• Scripting languages: Bash, Python, Groovy.
• Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.

• Cloud and virtualization-based technologies (Amazon Web Services (AWS), VMWare).
• Java Application Server Administration (Weblogic, WidlFfy, JBoss, Tomcat).
• Docker and Kubernetes (EKS)
• Linux/UNIX Administration (Amazon Linux and RedHat).
• Developing and supporting cloud infrastructure designs and implementations and guiding application development teams.
• Configuration Management tools (Chef or Puppet or ansible).
• Log aggregations tools such as Elastic and/or Splunk.
• Automate infrastructure and application deployment-related tasks using terraform.
• Automate repetitive tasks required to maintain a secure and up-to-date operational environment.

Responsibilities

• Build and support always-available private/public cloud-based software-as-a-service (SaaS) applications.
• Build AWS or other public cloud infrastructure using Terraform.
• Deploy and manage Kubernetes (EKS) based docker applications in AWS.
• Create custom OS images using Packer.
• Create and revise infrastructure and architectural designs and implementation plans and guide the implementation with operations.
• Liaison between application development, infrastructure support, and tools (IT Services) teams.
• Development and documentation of Chef recipes and/or ansible scripts. Support throughout the entire deployment lifecycle (development, quality assurance, and production).
• Help developers leverage infrastructure, application, and cloud platform features and functionality participate in code and design reviews, and support developers by building CI/CD pipelines using Bamboo, Jenkins, or Spinnaker.
• Create knowledge-sharing presentations and documentation to help developers and operations teams understand and leverage the system's capabilities.
• Learn on the job and explore new technologies with little supervision.
• Leverage scripting (BASH, Perl, Ruby, Python) to build required automation and tools on an ad-hoc basis.

Who we have in mind:

• Solid experience in building a solution on AWS or other public cloud services using Terraform.
• Excellent problem-solving skills with a desire to take on responsibility.
• Extensive knowledge in containerized application and deployment in Kubernetes
• Extensive knowledge of the Linux operating system, RHEL preferred.
• Proficiency with shell scripting.
• Experience with Java application servers.
• Experience with GiT and Subversion.
• Excellent written and verbal communication skills with the ability to communicate technical issues to non-technical and technical audiences.
• Experience working in a large-scale operational environment.
• Internet and operating system security fundamentals.
• Extensive knowledge of massively scalable systems. Linux operating system/application development desirable.
• Programming in scripting languages such as Python. Other object-oriented languages (C++, Java) are a plus.
• Experience with Configuration Management Automation tools (chef or puppet).
• Experience with virtualization, preferably on multiple hypervisors.
• BS/MS in Computer Science or equivalent experience.
• Excellent written and verbal skills.

Education or Equivalent Experience:

• Bachelor's degree or equivalent education in related fields
• Certificates of training in associated fields/equipment’s

Are you the one? Quick self-discovery test:

1. Love for the cloud: When was the last time your dinner entailed an act on “How would ‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and your friend did the ‘Sheldon’ version of the same thing.
2. Passion: When was the last time you went to a remote gas station while on vacation and ended up helping the gas station owner saasify his 7 gas stations across other geographies.
3. Compassion for customers: You listen more than you speak.  When you do speak, people feel the need to listen.
4. Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk can attempt to take humanity to Mars, why can’t we take your business to run on the cloud?

Your bucket of undertakings:

This position will be responsible to consult with clients and propose architectural solutions to help move & improve infra from on-premise to cloud or help optimize cloud spend from one public cloud to the other.

1. Be the first one to experiment on new-age cloud offerings, help define the best practice as a thought leader for cloud, automation & Dev-Ops, be a solution visionary and technology expert across multiple channels.
2. Continually augment skills and learn new tech as the technology and client needs evolve
3. Use your experience in the Google cloud platform, AWS, or Microsoft Azure to build hybrid-cloud solutions for customers.
4. Provide leadership to project teams, and facilitate the definition of project deliverables around core Cloud-based technology and methods.
5. Define tracking mechanisms and ensure IT standards and methodology are met; deliver quality results.
6. Participate in technical reviews of requirements, designs, code, and other artifacts
7. Identify and keep abreast of new technical concepts in the google cloud platform
8. Security, Risk, and Compliance - Advise customers on best practices around access management, network setup, regulatory compliance, and related areas.

Accomplishment Set 

• Passionate, persuasive, articulate Cloud professional capable of quickly establishing interest and credibility 
• Good business judgment, a comfortable, open communication style, and a willingness and ability to work with customers and teams.
• Strong service attitude and a commitment to quality.
• Highly organised and efficient.
• Confident working with others to inspire a high-quality standard.

Experience :

• 4-8 years experience in Cloud Infrastructure and Operations domains
• Experience with Linux systems and/OR Windows servers
• Specialize in one or two cloud deployment platforms: AWS, GCP
• Hands on experience with AWS services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine, API Gateway, AppSync and ServiceMesh)
• Experience in one or more scripting language-Python, Bash
• Good understanding of Apache Web Server, Nginx, MySQL, MongoDB, Nagios
• Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)
• DevOps Technologies (AWS DevOps, Jenkins, Git, Maven)
• Knowledge on Configuration Management tools such as Ansible, Terraform, Puppet, Chef, Packer
• Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

Education :

1. Is Education overrated? Yes. We believe so. However there is no way to locate you otherwise. So unfortunately we might have to look for a Bachelor's or Master's degree in engineering from a reputed institute or you should be programming from 12. And the latter is better. We will find you faster if you specify the latter in some manner. Not just degree, but we are not too thrilled by tech certifications too ... :)
2. To reiterate: Passion to tech-awesome, insatiable desire to learn the latest of the new-age cloud tech, highly analytical aptitude and a strong ‘desire to deliver’ outlives those fancy degrees!
3. 3-8 years of experience with hands-on experience in Cloud Computing (AWS/GCP) and IT operational experience in a global enterprise environment.
4. Good analytical, communication, problem solving, and learning skills.
5. Knowledge on programming against cloud platforms such as Google Cloud Platform and lean development methodologies.