DevOps Engineer

Google Cloud Devops Engineer (Terraform/CI/CD Pipeline)
Exp:8 to 10 years notice periods 0 to 20 days

Job Description :

- Provision Gcp Resources Based On The Architecture Design And Features Aligned With Business Objectives

- Monitor Resource Availability, Usage Metrics And Provide Guidelines For Cost And Performance Optimization

- Assist It/Business Users Resolving Gcp Service Related Issues

- Provide Guidelines For Cluster Automation And Migration Approaches And Techniques Including Ingest, Store, Process, Analyse And Explore/Visualise Data.

- Provision Gcp Resources For Data Engineering And Data Science Projects.

- Assistance With Automated Data Ingestion, Data Migration And Transformation(Good To Have)

- Assistance With Deployment And Troubleshooting Applications In Kubernetes.

- Establish Connections And Credibility In How To Address The Business Needs Via Design And Operate Cloud-Based Data Solutions

Key Responsibilities / Tasks :

- Building complex CI/CD pipelines for cloud native PaaS services such as Databases, Messaging, Storage, Compute in Google Cloud Platform

- Building deployment pipeline with Github CI (Actions)

- Building terraform codes to deploy infrastructure as a code

- Working with deployment and troubleshooting of Docker, GKE, Openshift, and Cloud Run

- Working with Cloud Build, Cloud Composer, and Dataflow

- Configuring software to be monitored by Appdynamics

- Configuring stackdriver logging and monitoring in GCP

- Work with splunk, Kibana, Prometheus and grafana to setup dashboard

Your skills, experience, and qualification :

- Total experience of 5+ Years, in as Devops. Should have at least 4 year of experience in Google could and Github CI.

- Should have strong experience in Microservices/API.

- Should have strong experience in Devops tools like Gitbun CI, teamcity, Jenkins and Helm.

- Should know Application deployment and testing strategies in Google cloud platform.

- Defining and setting development, test, release, update, and support processes for DevOps operation

- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)

- Excellent understanding of Java

- Knowledge on Kafka, ZooKeeper, Hazelcast, Pub/Sub is nice to have.

- Understanding of cloud networking, security such as software defined networking/firewalls, virtual networks and load balancers.

- Understanding of cloud identity and access

- Understanding of the compute runtime and the differences between native compute, virtual and containers

- Configuration and managing databases such as Oracle, Cloud SQL, and Cloud Spanner.

- Excellent troubleshooting

- Working knowledge of various tools, open-source technologies

- Awareness of critical concepts of Agile principles

- Certification in Google professional Cloud DevOps Engineer is desirable.

- Experience with Agile/SCRUM environment.

- Familiar with Agile Team management tools (JIRA, Confluence)

- Understand and promote Agile values: FROCC (Focus, Respect, Openness, Commitment, Courage)

- Good communication skills

- Pro-active team player

- Comfortable working in multi-disciplinary, self-organized teams

- Professional knowledge of English

- Differentiators : knowledge/experience about

About us:

Ask any CIO about corporate data and they’ll happily share all the work they’ve done to make their databases secure and compliant. Ask them about other sensitive information, like contracts, financial documents, and source code, and you’ll probably get a much less confident response. Few organizations have any insight into business-critical information stored in unstructured data.

There was a time when that didn’t matter. Those days are gone. Data is now accessible, copious, and dispersed, and it includes an alarming amount of business-critical information. It’s a target for both cybercriminals and regulators but securing it is incredibly difficult. It’s the data challenge of our generation.

Existing approaches aren’t doing the job. Keyword searches produce a bewildering array of possibly relevant documents that may or may not be business critical. Asking users to categorize documents requires extensive training and constant vigilance to make sure users are doing their part. What’s needed is an autonomous solution that can find and assess risk so you can secure your unstructured data wherever it lives.

That’s our mission. Concentric’s semantic intelligence solution reveals the meaning in your structured and unstructured data so you can fight off data loss and meet compliance and privacy mandates.

Check out our core cultural values and behavioural tenets here: https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/" target="_blank">https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/

Title: Cloud DevOps Engineer 

Role: Individual Contributor (4-8 yrs)  

      

Requirements: 

• Energetic self-starter, a fast learner, with a desire to work in a startup environment  
• Experience working with Public Clouds like AWS 

• Operating and Monitoring cloud infrastructure on AWS. 
• Primary focus on building, implementing and managing operational support 
• Design, Develop and Troubleshoot Automation scripts (Configuration/Infrastructure as code or others) for Managing Infrastructure. 
• Expert at one of the scripting languages – Python, shell, etc  
• Experience with Nginx/HAProxy, ELK Stack, Ansible, Terraform, Prometheus-Grafana stack, etc 

• Handling load monitoring, capacity planning, and services monitoring. 
• Proven experience With CICD Pipelines and Handling Database Upgrade Related Issues. 
• Good Understanding and experience in working with Containerized environments like Kubernetes and Datastores like Cassandra, Elasticsearch, MongoDB, etc

DevOps Engineer responsibilities include deploying product updates, identifying production issues, and implementing integrations that meet customer needs. If you have a solid background in working with cloud technologies, set up efficient deployment processes, and are motivated to work with diverse and talented teams, we’d like to meet you.

 

Ultimately, you will execute and automate operational processes fast, accurately, and securely.

 

Skills and Experience

• 4+ years of experience in building infrastructure experience with Cloud Providers ( AWS, Azure, GCP)

• Experience in deploying containerized applications build on NodeJS/PHP/Python to kubernetes cluster.

• Experience in monitoring production workload with relevant metrics and dashboards.

• Experience in writing automation scripts using Shell, Python, Terraform, etc.

• Experience in following security practices while setting up the infrastructure. 

• Self-motivated, able, and willing to help where help is needed

• Able to build relationships, be culturally sensitive, have goal alignment, have learning agility  

Roles and Responsibilities

• Manage various resources across different cloud providers. (Azure, AWS, and GCP)

• Monitor and optimize infrastructure cost.

• Manage various kubernetes clusters with appropriate monitoring and alerting setup.

• Build CI/CD pipelines to orchestrate provisioning and deployment of various services into kubernetes infrastructure.

• Work closely with the development team on upcoming features to determine the correct infrastructure and related tools.

• Assist the support team with escalated customer issues.

• Develop, improve, and thoroughly document operational practices and procedures. 

• Responsible for setting up good security practices across various clouds.

Your challenge
The mission of R&D IT Design Infrastructure is to offer a state-of-the-art design environment
for the chip hardware designers. The R&D IT design environment is a complex landscape of EDA Applications, High Performance Compute, and Storage environments - consolidated in five regional datacenters. Over 7,000 chip hardware designers, spread across 40+ locations around the world, use this state-of-the-art design environment to design new chips and drive the innovation of company. The following figures give an idea about the scale: the landscape has more 75,000+ cores, 30+ PBytes of data, and serves 2,000+ CAD applications and versions. The operational service teams are globally organized to cover 24/7 support to the chip hardware design and software design projects.
Since the landscape is really too complex to manage the traditional way, it is our strategy to transform our R&D IT design infrastructure into “software-defined datacenters”. This transformation entails a different way of work and a different mind-set (DevOps, Site Reliability Engineering) to ensure that our IT services are reliable. That’s why we are looking for a DevOps Linux Engineer to strengthen the team that is building a new on-premise software defined virtualization and containerization platform (PaaS) for our IT landscape, so that we can manage it with best practices from software engineering and offer the IT service reliability which is required by our chip hardware design community.
It will be your role to develop and maintain the base Linux OS images that are offered via automation to the customers of the internal (on-premise) cloud platforms.

Your responsibilities as DevOps Linux Engineer:
• Develop and maintain the base RedHat Linux operating system images
• Develop and maintain code to configure and test the base OS image
• Provide input to support the team to design, develop and maintain automation
products with playbooks (YAML) and modules (Python/PowerShell) in tools like
Ansible Tower and Service-Now
• Test and verify the code produced by the team (including your own) to continuously
improve and refactor
• Troubleshoot and solve incidents on the RedHat Linux operating system
• Work actively with other teams to align on the architecture of the PaaS solution
• Keep the Base OS image up2date via patches or make sure patches are available to
the virtual machine owners
• Train team members and others with your extensive automation knowledge
• Work together with ServiceNow developers in your team to provide the best intuitive
end-user experience possible for the virtual machine OS deployments

We are looking for a DevOps engineer/consultant with the following characteristics:
• Master or Bachelor degree
• You are a technical, creative, analytical and open-minded engineer that is eager to
learn and not afraid to take initiative.
• Your favorite t-shirt has “Linux” or “RedHat” printed on it at least once.
• Linux guru: You have great knowledge Linux servers (RedHat), RedHat Satellite 6
and other RedHat products
• Experience in Infrastructure services, e.g., Networking, DNS, LDAP, SMTP
• DevOps mindset: You are a team-player that is eager to develop and maintain cool
products to automate/optimize processes in a complex IT infrastructure and are able
to build and maintain productive working relationships
• You have great English communication skills, both verbally as in writing.
• No issue to work outside business hours to support the platform for critical R&D
Applications

Other competences we value, but are not strictly mandatory:
• Experience with agile development methods, like Scrum, and are convinced of its
power to deliver products with immense (business) value.
• “Security” is your middle name, and you are always challenging yourself and your
colleagues to design and develop new solutions as security tight as possible.
• Being a master in automation and orchestration with tools like Ansible Tower (or
comparable) and feel comfortable with developing new modules in Python or
PowerShell.
• It would be awesome if you are already a true Yoda when it comes to code version
control and branching strategies with Git, and preferably have worked with GitLab
before.
• Experience with automated testing in a CI/CD pipeline with Ansible, Python and tools
like Selenium.
• An enthusiast on cloud platforms like Azure & AWS.
• Background in and affinity with R&D

Job Responsibilities: Managing the cloud deployment with thousands of VM’s and Containers with 100% uptime Budgeting the infra costs and plan for continued cost optimisation Managing and motivating the team members Designing the architecture to scale the back-end to meet the business requirements Requirements: Strong background in Linux fundamentals and system administration Good command on coding with scripting languages like Python and Shell scripting Experience with Docker and any one of container management systems like Kubernetes, Docker Swarm or Apache mesos Ability to use a wide variety of open source technologies and cloud services like AWS, GCP or Azure Experience with automation/configuration management using either Puppet, Chef or an equivalent Experience with Elasticsearch, Mongodb, Redis, Memcached, Kafka, RabbitMQ or ActiveMQ Knowledge of best practices and IT operations in an always-up, always-available service Good team management skills and communications skills Good experience with monitoring and alerting systems like Nagios, Zabbix Experience with CI and CD tools Educational Qualification: BE/B.Tech/MCA

Required Skills: Strong experience in AWS / Google Cloud. Strong development experience in Perl, Python, Docker, and Postgres. Strong experience in build/release management. Working experience on Linux. Excellent knowledge of shell scripts. Knowledge of Virtualization Platforms VMware. Working experience on Configuration Management tools. Working experience on Test and Build Systems Jenkins/Maven Should have strong communication skills, a passion to learn, and an ability to work well with people at all levels of an organization. Roles and Responsibilities: Create Deployment Unit consisting build, documents and installation artifacts. Preparing Delivery definition / Release Note / Production turn-over Note documents. Establish DevOps Policies. Communicate with developers, product managers and technical support specialists on product issues. Assist in Creating and maintaining Configuration and Change Management Plan for the project. Choosing suitable DevOps tools. Setting up Configuration Management Environment. Assist in routine back-up and archival of project repository.

Skills Required: Cloud Scaling and Performance Management Cloud Deployment Infrastructure management for high Load Scaling Experience - 2-5 Years About Us: RecoSense is a Data Science Led Venture into Recommendation, Personalization and Machine Learning Framework. Email Id: [email protected] Regards, Swathi Udhyakumar