
About Zophop Technologies Pvt Ltd
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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

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
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
- Collaborate with Dev, QA and Data Science teams on environment maintenance, monitoring (ELK, Prometheus or equivalent), deployments and diagnostics
- Administer a hybrid datacenter, including AWS and EC2 cloud assets
- Administer, automate and troubleshoot container based solutions deployed on AWS ECS
- Be able to troubleshoot problems and provide feedback to engineering on issues
- Automate deployment (Ansible, Python), build (Git, Maven. Make, or equivalent) and integration (Jenkins, Nexus) processes
- Learn and administer technologies such as ELK, Hadoop etc.
- A self-starter and enthusiasm to learn and pick up new technologies in a fast-paced environment.
Need to have
- Hands-on Experience in Cloud based DevOps
- Experience working in AWS (EC2, S3, CloudFront, ECR, ECS etc)
- Experience with any programming language.
- Experience using Ansible, Docker, Jenkins, Kubernetes
- Experience in Python.
- Should be very comfortable working in Linux/Unix environment.
- Exposure to Shell Scripting.
- Solid troubleshooting skills
We are looking for candidates that have experience in development and have performed CI/CD based projects. Should have a good hands-on Jenkins Master-Slave architecture, used AWS native services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline. Should have experience in setting up cross platform CI/CD pipelines which can be across different cloud platforms or on-premise and cloud platform.
Job Description:
- Hands on with AWS (Amazon Web Services) Cloud with DevOps services and CloudFormation.
- Experience interacting with customer.
- Excellent communication.
- Hands-on in creating and managing Jenkins job, Groovy scripting.
- Experience in setting up Cloud Agnostic and Cloud Native CI/CD Pipelines.
- Experience in Maven.
- Experience in scripting languages like Bash, Powershell, Python.
- Experience in automation tools like Terraform, Ansible, Chef, Puppet.
- Excellent troubleshooting skills.
- Experience in Docker and Kuberneties with creating docker files.
- Hands on with version control systems like GitHub, Gitlab, TFS, BitBucket, etc.
- 3+ years experience leading a team of DevOps engineers
- 8+ years experience managing DevOps for large engineering teams developing cloud-native software
- Strong in networking concepts
- In-depth knowledge of AWS and cloud architectures/services.
- Experience within the container and container orchestration space (Docker, Kubernetes)
- Passion for CI/CD pipeline using tools such as Jenkins etc.
- Familiarity with config management tools like Ansible Terraform etc
- Proven record of measuring and improving DevOps metrics
- Familiarity with observability tools and experience setting them up
- Passion for building tools and productizing services that empower development teams.
- Excellent knowledge of Linux command-line tools and ability to write bash scripts.
- Strong in Unix / Linux administration and management,
KEY ROLES/RESPONSIBILITIES:
- Own and manage the entire cloud infrastructure
- Create the entire CI/CD pipeline to build and release
- Explore new technologies and tools and recommend those that best fit the team and organization
- Own and manage the site reliability
- Strong decision-making skills and metric-driven approach
- Mentor and coach other team members
Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech
to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering,
AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We
are one of the top & the fastest growing partners for Google Cloud and AWS globally with
over 2,500 clients successfully moved to cloud.
What we believe?
1. Best practices are overrated
○ Implementing best practices can only make one n ‘average’ .
2. Honesty and Transparency
○ We believe in naked truth. We do what we tell and tell what we do.
3. Client Partnership
○ Client - Vendor relationship: No. We partner with clients instead.
○ And our sales team comprises 100% of our clients.
How we work?
It’s all about being Happier first. And rest follows. Searce work culture is defined by
HAPPIER.
1. Humble: Happy people don’t carry ego around. We listen to understand; not to
respond.
2. Adaptable: We are comfortable with uncertainty. And we accept changes well. As
that’s what life's about.
3. Positive: We are super positive about work & life in general. We love to forget and
forgive. We don’t hold grudges. We don’t have time or adequate space for it.
4. Passionate: We are as passionate about the great street-food vendor across the
street as about Tesla’s new model and so on. Passion is what drives us to work and
makes us deliver the quality we deliver.
5. Innovative: Innovate or Die. We love to challenge the status quo.
6. Experimental: We encourage curiosity & making mistakes.
7. Responsible: Driven. Self motivated. Self governing teams. We own it.
Are you the one? Quick self-discovery test:
1. Love for 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 for sales: When was the last time you went at 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 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
practise 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 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 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.
Education, Experience, etc.
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. 1 - 5 years of experience with at least 2 - 3 years of hands-on experience in Cloud
Computing (AWS/GCP/Azure) 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 Platf

Role : DevOps Engineer
Experience : 1 to 2 years and 2 to 5 Years as DevOps Engineer (2 Positions)
Location : Bangalore. 5 Days Working.
Education Qualification : Tech/B.E for Tier-1/Tier-2/Tier-3 Colleges or equivalent institutes
Skills :- DevOps Engineering, Ruby On Rails or Python and Bash/Shell skills, Docker, rkt or similar container engine, Kubernetes or similar clustering solutions
As DevOps Engineer, you'll be part of the team building the stage for our Software Engineers to work on, helping to enhance our product performance and reliability.
Responsibilities:
- Build & operate infrastructure to support website, backed cluster, ML projects in the organization.
- Helping teams become more autonomous and allowing the Operation team to focus on improving the infrastructure and optimizing processes.
- Delivering system management tooling to the engineering teams.
- Working on your own applications which will be used internally.
- Contributing to open source projects that we are using (or that we may start).
- Be an advocate for engineering best practices in and out of the company.
- Organizing tech talks and participating in meetups and representing Box8 at industry events.
- Sharing pager duty for the rare instances of something serious happening. ∙ Collaborate with other developers to understand & setup tooling needed for Continuous Integration/Delivery/Deployment (CI/CD) practices.
Requirements:
- 1+ Years Of Industry Experience Scale existing back end systems to handle ever increasing amounts of traffic and new product requirements.
- Ruby On Rails or Python and Bash/Shell skills.
- Experience managing complex systems at scale.
- Experience with Docker, rkt or similar container engine.
- Experience with Kubernetes or similar clustering solutions.
- Experience with tools such as Ansible or Chef Understanding of the importance of smart metrics and alerting.
- Hands on experience with cloud infrastructure provisioning, deployment, monitoring (we are on AWS and use ECS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch).
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience in working on linux based servers.
- Managing large scale production grade infrastructure on AWS Cloud.
- Good Knowledge on scripting languages like ruby, python or bash.
- Experience in creating in deployment pipeline from scratch.
- Expertise in any of the CI tools, preferably Jenkins.
- Good knowledge of docker containers and its usage.
- Using Infra/App Monitoring tools like, CloudWatch/Newrelic/Sensu.
Good to have:
- Knowledge of Ruby on Rails based applications and its deployment methodologies.
- Experience working on Container Orchestration tools like Kubernetes/ECS/Mesos.
- Extra Points For Experience With Front-end development NewRelic GCP Kafka, Elasticsearch.
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
• Bachelor or Master Degree in Computer Science, Software Engineering from a reputed
University.
• 5 - 8 Years of experience in building scalable, secure and compliant systems.
• More than 2 years of experience in working with GCP deployment for millions of daily visitors
• 5+ years hosting experience in a large heavy-traffic environment
• 5+ years production application support experience in a high uptime environment
• Software development and monitoring knowledge with Automated builds
• Technology:
o Cloud: AWS or Google Cloud
o Source Control: Gitlab or Bitbucket or Github
o Container Concepts: Docker, Microservices
o Continuous Integration: Jenkins, Bamboos
o Infrastructure Automation: Puppet, Chef or Ansible
o Deployment Automation: Jenkins, VSTS or Octopus Deploy
o Orchestration: Kubernets, Mesos, Swarm
o Automation: Node JS or Python
o Linux environment network administration, DNS, firewall and security management
• Ability to be adapt to the startup culture, handle multiple competing priorities, meet
deadlines and troubleshoot problems.

