DevOps Engineer

DevOps Engineer

1.   Should have at least 5+ years of experience

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

Sr.DevOps Engineer (5 to 8 yrs. Exp.)

Location: Ahmedabad

• Strong Experience in Infrastructure provisioning in cloud using Terraform & AWS CloudFormation Templates.
• Strong Experience in Serverless Containerization technologies such as Kubernetes, Docker etc.
• Strong Experience in Jenkins & AWS Native CI/CD implementation using code
• Strong Experience in Cloud operational automation using Python, Shell script, AWS CLI, AWS Systems Manager, AWS Lamnda, etc.
• Day to Day AWS Cloud administration tasks
• Strong Experience in Configuration management using Ansible and PowerShell.
• Strong Experience in Linux and any scripting language must required.
• Knowledge of Monitoring tool will be added advantage.
• Understanding of DevOps practices which involves Continuous Integration, Delivery and Deployment.
• Hands on with application deployment process

Key Skills: AWS, terraform, Serverless, Jenkins,Devops,CI/CD,Python,CLI,Linux,Git,Kubernetes

Role: Software Developer

Industry Type: IT-Software, Software Services

FunctionalArea:ITSoftware- Application Programming, Maintenance

Employment Type: Full Time, Permanent

Education: Any computer graduate.

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops

• Ensure reliable operation of CI/CD pipelines
• Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
• Logging, metrics and alerting management.
• Creation of Bash/Python scripts for automation
• Performing root cause analysis for production errors.

• 2 years experience as Team Lead.
• Good Command on kubernetes.
• 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 cloud formation 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.

• Engineering in computer science
• 3-5 years of experience in setup and management of Kubernetes infrastructure
• Expert level skills in analytical & problem solving
• Ability to communicate clearly in English

• Microsoft Azure
• Kubernetes, AKS services as well as custom clusters on bare metal infrastructure
• Linux internals & services
• Docker, Docker Registry
• NGINX, Load Balancing, Firewall, Security, PKI
• Shell & Awk Script, Azure Templates & scripting, Python Scripting
• Knowledge of NoSQL Databases

• Work with developers to build out CI/CD pipelines, enable self-service build tools and reusable deployment jobs. Find, explore, and advocate for new technologies for enterprise use.
• Automate the provisioning of environments
• Promote new DevOps tools to simplify the build process and entire Continuous Delivery.
• Manage a Continuous Integration and Deployment environment.
• Coordinate and scale the evolving build and cloud deployment systems across all product development teams.
• Work independently, with, and across teams. Establishing smooth running. environments are paramount to your success, and happiness
• Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the[1]box thinking, teamwork, self-organization, and diversity.

Technical Skills

• Experience with AWS multi-region/multi-AZ deployed systems, auto-scaling of EC2 instances, CloudFormation, ELBs, VPCs, CloudWatch, SNS, SQS, S3, Route53, RDS, IAM roles, security groups, cloud watch
• Experience in Data Visualization and Monitoring tools such as Grafana and Kibana
• Experienced in Build and CI/CD/CT technologies like GitHub, Chef, Artifactory, Hudson/Jenkins
• Experience with log collection, filter creation, and analysis, builds, and performance monitoring/tuning of infrastructure.
• Automate the provisioning of environments pulling strings with Puppet, cooking up some recipes with Chef, or through Ansible, and the deployment of those environments using containers, like Docker or Rocket: (have at least some configuration management tool through some version control).

Qualifications:

• B.E/ B.Tech/ M.C.A in Computer Science, Electronics and Communication Engineering, Electronics and Electrical Engineering.
• Minimum 60% in Graduation and Post-Graduation.
• Good verbal and written communication skills

We are looking for a Sr. Engineer DevOps and SysOps, who is responsible for managing AWS and Azure cloud computing.  Your primary focus would be to help multiple projects with various cloud service implementation, create and manage CI/CD pipelines for deployment, explore new services on cloud and help projects to implement them.

Technical Requirements & Responsibilities

1. Have 4+ years’ experience as a DevOps and SysOps Engineer.
2. Apply cloud computing skills to deploy upgrades and fixes on AWS and Azure (GCP is optional / Good to have).
3. Design, develop, and implement software integrations based on user feedback.
4. Troubleshoot production issues and coordinate with the development team to streamline code deployment.
5. Implement automation tools and frameworks (CI/CD pipelines).
6. Analyze code and communicate detailed reviews to development teams to ensure a marked improvement in applications and the timely completion of projects.
7. Collaborate with team members to improve the company’s engineering tools, systems and procedures, and data security.
8. Optimize the company’s computing architecture.
9. Conduct systems tests for security, performance, and availability.
10. Develop and maintain design and troubleshooting documentation.
11. Expert in code deployment tools (Puppet, Ansible, and Chef).
12. Can maintain Java / PHP / Ruby on Rail / DotNet web applications.
13. Experience in network, server, and application-status monitoring.
14. Possess a strong command of software-automation production systems (Jenkins and Selenium).
15. Expertise in software development methodologies.
16. You have working knowledge of known DevOps tools like Git and GitHub.
17. Possess a problem-solving attitude.
18. Can work independently and as part of a team.

Soft Skills Requirements

1. Strong communication skills
2. Agility and quick learner
3. Attention to detail
4. Organizational skills
5. Understanding of the Software development life cycle
6. Good Analytical and problem-solving skills
7. Self-motivated with the ability to prioritize, meet deadlines, and manage changing priorities
8. Should have a high level of energy working as an individual contributor and as a part of team.
9. Good command over verbal and written English communication