11+ Data center migration Jobs in India
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Are you the one? Quick self-discovery test:
- 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.
- 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.
- Compassion for customers: You listen more than you speak. When you do speak, people feel the need to listen.
- 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?
So what are we looking for?
- Experience in On-premises to AWS cloud Migration.
- Linux and Windows servers knowledge .
- Application knowledge like Java, .net, Python, Ruby.
- On-premises to Cloud migration assessment experience as a must .
- Able to provide a detailed migration analysis report and present it to the customer.
- Creative problem-solving skills and superb communication skills.
- Respond to technical queries / requests from team members and customers.
- Ambitious individuals who can work under their own direction towards agreed targets/goals.
- Ability to handle change and be open to it along with good time management and being able to work under stress.
- Proven interpersonal skills while contributing to team effort by accomplishing related results as needed.
- Maintain technical knowledge by attending educational workshops, reviewing publications.
Job Responsibilities:
- Managing initiatives for migration and modernization in AWS cloud environment
- Leads and builds Modernization architecture solution from (on-prem or VMWare) into modern platform (Cloud AWS) through modular design by understanding application components
- Leads and SME in Modernization methodology and can lead the Design thinking workshop, method tailoring as Client environment and Client industry
- The 6 most common application migration strategies below required
- Re-host (Referred to as a “lift and shift.”)
- Re-platform (Referred to as “lift, tinker, and shift.”)
- Re-factor / Re-architect
- Re-purchase
- Retire
- Retain ( Referred to as re-visit.)
- Application migration analysis experience like application compatibility on the cloud, Network, security support on cloud.
Qualifications:
- Is Education overrated? Yes. We believe so. But there is no way to locate you otherwise. So we might look for at least 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 a degree, but we are not too thrilled by tech certifications too :)
- Architects with 10+ total and 6+ years of experience on Modernization applications and led Architecture initiatives on AWS Modernization.
- Managed and implemented at least 5 engagement modernizing client applications to AWS Cloud and on WebSphere and Java/J2EE or .NET.
- Experience on using DevOps tools during Modernization.
- Complete in-depth experience and knowledge of AWS as a product and its components.
- AWS certification would be preferred.
- Experience in Agile fundamentals and methodology.

- Experience with Infrastructure-as-Code tools(IaS) like Terraform and Cloud Formation.
- Proficiency in cloud-native technologies and architectures (Docker/ Kubernetes), Ci/CD pipelines.
- Good experience in Javascript.
- Expertise in Linux / Windows environment.
- Good Experience in Scripting languages like PowerShell / Bash/ Python.
- Proficiency in revision control and DevOps best practices like Git
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
We are looking for a Senior Platform Engineer responsible for handling our GCP/AWS clouds. The candidate will be responsible for automating the deployment of cloud infrastructure and services to support application development and hosting (architecting, engineering, deploying, and operationally managing the underlying logical and physical cloud computing infrastructure).
Job Description:
● Collaborate with teams to build and deliver solutions implementing serverless, microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.
●Responsible for deploying highly complex, distributed transaction processing systems.
● Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization
● Hiring, developing, and cultivating a high and reliable cloud support team ● Building and operating complex CI/CD pipelines at scale
● Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage, Networking
● Collaborate with Product Management and Product Engineering teams to drive excellence in Google Cloud products and features.
● Ensures efficient data storage and processing functions by company security policies and best practices in cloud security.
● Ensuring scaled database setup/monitoring with near zero downtime
- 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
About the Company
- 💰 Early-stage, ed-tech, funded, growing, growing fast
- 🎯 Mission Driven: Make Indonesia competitive on a global scale
- 🥅 Build the best educational content and technology to advance STEM education
- 🥇 Students-First approach
- 🇮🇩 🇮🇳 Teams in India and Indonesia
Skillset 🧗🏼♀️
- You primarily identify as a DevOps/Infrastructure engineer and are comfortable working with systems and cloud-native services on AWS
- You can design, implement, and maintain secure and scalable infrastructure delivering cloud-based services
- You have experience operating and maintaining production systems in a Linux based public cloud environment
- You are familiar with cloud-native concepts - Containers, Lambdas, Orchestration (ECS, Kubernetes)
- You’re in love with system metrics and strive to help deliver improvements to systems all the time
- You can think in terms of Infrastructure as Code to build tools for automating deployment, monitoring, and operations of the platform
- You can be on-call once every few weeks to provide application support, incident management, and troubleshooting
- You’re fairly comfortable with GIT, AWS CLI, python, docker CLI, in general, all things CLI. Oh! Bash scripting too!
- You have high integrity, and you are reliable
What you can expect from us 👌🏼
☮️ Mentorship, growth, great work culture
- Mentorship and continuous improvement are a part of the team’s DNA. We have a battle-tested robust growth framework. You will have people to look up to and people looking up to you
- We are a people-first, high-trust, high-autonomy team
- We live in the TDD, Pair Programming, First Principles world
🌏 Remote done right
- Distributed does not mean working in isolation, feeling alone, being buried in Zoom calls
- Our leadership team has been WFH for 10+ years now and we know how remote teams work. This will be a place to belong
- A good balance between deep focussed work and collaborative work ⚖️
🖥️ Friendly, humane interview process
- 30-minute alignment check and screening call
- A short take-home coding assignment, no more than 2-3 hours. Time is precious
- Pair programming interview. Collaborate, work together. No sitting behind a desk and judging
- In-depth engineering discussion around your skills and career so far
- System design and architecture interview for seniors
What we ask from you👇🏼
- Bring your software engineering — both individual brilliance and collaborative skills
- Bring your good nature — we're building a team that supports each other
- Be vested or interested in the company vision
Roles and Responsibilities
- 5 - 8 years of experience in Infrastructure setup on Cloud, Build/Release Engineering, Continuous Integration and Delivery, Configuration/Change Management.
- Good experience with Linux/Unix administration and moderate to significant experience administering relational databases such as PostgreSQL, etc.
- Experience with Docker and related tools (Cassandra, Rancher, Kubernetes etc.)
- Experience of working in Config management tools (Ansible, Chef, Puppet, Terraform etc.) is a plus.
- Experience with cloud technologies like Azure
- Experience with monitoring and alerting (TICK, ELK, Nagios, PagerDuty)
- Experience with distributed systems and related technologies (NSQ, RabbitMQ, SQS, etc.) is a plus
- Experience with scaling data store technologies is a plus (PostgreSQL, Scylla, Redis) is a plus
- Experience with SSH Certificate Authorities and Identity Management (Netflix BLESS) is a plus
- Experience with multi-domain SSL certs and provisioning a plus (Let's Encrypt) is a plus
- Experience with chaos or similar methodologies is a plus
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

- Hands on experience in following is a must: Unix, Python and Shell Scripting.
- Hands on experience in creating infrastructure on cloud platform AWS is a must.
- Must have experience in industry standard CI/CD tools like Git/BitBucket, Jenkins, Maven, Artifactory and Chef.
- Must be good at these DevOps tools:
Version Control Tools: Git, CVS
Build Tools: Maven and Gradle
CI Tools: Jenkins
- Hands-on experience with Analytics tools, ELK stack.
- Knowledge of Java will be an advantage.
- Experience designing and implementing an effective and efficient CI/CD flow that gets code from dev to prod with high quality and minimal manual effort.
- Ability to help debug and optimise code and automate routine tasks.
- Should be extremely good in communication
- Experience in dealing with difficult situations and making decisions with a sense of urgency.
- Experience in Agile and Jira will be an add on


DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery