Docker
Jenkins
KubernetesJob Location: Jaipur
Experience Required: Minimum 3 years
About the role:
As a DevOps Engineer for Punchh, you will be working with our developers, SRE, and DevOps teams implementing our next generation infrastructure. We are looking for a self-motivated, responsible, team player who love designing systems that scale. Punchh provides a rich engineering environment where you can be creative, learn new technologies, solve engineering problems, all while delivering business objectives. The DevOps culture here is one with immense trust and responsibility. You will be given the opportunity to make an impact as there are no silos here.
Responsibilities:
- Deliver SLA and business objectives through whole lifecycle design of services through inception to implementation.
- Ensuring availability, performance, security, and scalability of AWS production systems
- Scale our systems and services through continuous integration, infrastructure as code, and gradual refactoring in an agile environment.
- Maintain services once a project is live by monitoring and measuring availability, latency, and overall system and application health.
- Write and maintain software that runs the infrastructure that powers the Loyalty and Data platform for some of the world’s largest brands.
- 24x7 in shifts on call for Level 2 and higher escalations
- Respond to incidents and write blameless RCA’s/postmortems
- Implement and practice proper security controls and processes
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on platform.
Must have:
- Minimum 3 Years of Experience in DevOps.
- BS degree in Computer Science, Mathematics, Engineering, or equivalent practical experience.
- Strong inter-personal skills.
- Must have experience in CI/CD tooling such as Jenkins, CircleCI, TravisCI
- Must have experience in Docker, Kubernetes, Amazon ECS or Mesos
- Experience in code development in at least one high-level programming language fromthis list: python, ruby, golang, groovy
- Proficient in shell scripting, and most importantly, know when to stop scripting and start developing.
- Experience in creation of highly automated infrastructures with any Configuration Management tools like: Terraform, Cloudformation or Ansible.
- In-depth knowledge of the Linux operating system and administration.
- Production experience with a major cloud provider such Amazon AWS.
- Knowledge of web server technologies such as Nginx or Apache.
- Knowledge of Redis, Memcache, or one of the many in-memory data stores.
- Experience with various load balancing technologies such as Amazon ALB/ELB, HA Proxy, F5.
- Comfortable with large-scale, highly-available distributed systems.
Good to have:
- Understanding of Web Standards (REST, SOAP APIs, OWASP, HTTP, TLS)
- Production experience with Hashicorp products such as Vault or Consul
- Expertise in designing, analyzing troubleshooting large-scale distributed systems.
- Experience in an PCI environment
- Experience with Big Data distributions from Cloudera, MapR, or Hortonworks
- Experience maintaining and scaling database applications
- Knowledge of fundamental systems engineering principles such as CAP Theorem, Concurrency Control, etc.
- Understanding of the network fundamentals: OSI, TCI/IP, topologies, etc.
- Understanding of Auditing of Infrastructure and help org. to control Infrastructure costs.
- Experience in Kafka, RabbitMQ or any messaging bus.
Shubham Vishwakarma
Full Stack Developer - Averlon
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DockerKubernetes
Amazon Web Services (AWS)What you’ll be doing at Novo:
● Systems thinking
● Creating best practices, templates, and automation for build, test, integration and
deployment pipelines on multiple projects
● Designing and developing tools for easily creating and managing dev/test infrastructure
and services in AWS cloud
● Providing expertise and guidance on CI/CD, Github, and other development tools via
containerization
● Monitoring and support systems in Dev, UAT and production environments
● Building mock services and production-like data sources for use in development and
testing
● Managing Github integrations, feature flag systems, code coverage tools, and other
development & monitoring tools tools
● Participating in support rotations to help troubleshoot to infrastructure issues
Stacks you eat everyday ( For Devops Engineer )
● Creating and working with containers, as well as using container orchestration tools
(Kubernetes / Docker)
● AWS: S3, EKS, EC2, RDS, Route53, VPC etc.
● Fair understanding of Linux
● Good knowledge of CI/CD : Jenkins / CircleCI / Github Actions
● Basic level of monitoring
● Support for Deployment along with various Web Servers and Linux environments , both
backend and frontend.
DockerJenkinsExp: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
DockerKubernetesAmazon Web Services (AWS) Bachelor's degree in information security, computer science, or related.
A Strong Devops experience of at least 4+ years
Strong Experience in Unix/Linux/Python scripting
Strong networking knowledge,vSphere networking stack knowledge desired.
Experience on Docker and Kubernetes
Experience with cloud technologies (AWS/Azure)
Exposure to Continuous Development Tools such as Jenkins or Spinnaker
Exposure to configuration management systems such as Ansible
Knowledge of resource monitoring systems
Ability to scope and estimate
Strong verbal and communication skills
Advanced knowledge of Docker and Kubernetes.
Exposure to Blockchain as a Service (BaaS) like - Chainstack/IBM blockchain platform/Oracle Blockchain Cloud/Rubix/VMWare etc.
Capable of provisioning and maintaining local enterprise blockchain platforms for Development and QA (Hyperledger fabric/Baas/Corda/ETH).
About Navis
JenkinsDockerAmazon Web Services (AWS)We are a self organized engineering team with a passion for programming and solving business problems for our customers. We are looking to expand our team capabilities on the DevOps front and are on a lookout for 4 DevOps professionals having relevant hands on technical experience of 4-8 years.
We encourage our team to continuously learn new technologies and apply the learnings in the day to day work even if the new technologies are not adopted. We strive to continuously improve our DevOps practices and expertise to form a solid backbone for the product, customer relationships and sales teams which enables them to add new customers every week to our financing network.
As a DevOps Engineer, you :
- Will work collaboratively with the engineering and customer support teams to deploy and operate our systems.
- Build and maintain tools for deployment, monitoring and operations.
- Help automate and streamline our operations and processes.
- Troubleshoot and resolve issues in our test and production environments.
- Take control of various mandates and change management processes to ensure compliance for various certifications (PCI and ISO 27001 in particular)
- Monitor and optimize the usage of various cloud services.
- Setup and enforce CI/CD processes and practices
Skills required :
- Strong experience with AWS services (EC2, ECS, ELB, S3, SES, to name a few)
- Strong background in Linux/Unix administration and hardening
- Experience with automation using Ansible, Terraform or equivalent
- Experience with continuous integration and continuous deployment tools (Jenkins)
- Experience with container related technologies (docker, lxc, rkt, docker swarm, kubernetes)
- Working understanding of code and script (Python, Perl, Ruby, Java)
- Working understanding of SQL and databases
- Working understanding of version control system (GIT is preferred)
- Managing IT operations, setting up best practices and tuning them from time-totime.
- Ensuring that process overheads do not reduce the productivity and effectiveness of small team. - Willingness to explore and learn new technologies and continuously refactor thetools and processes.
Python
NodeJS (Node.js)DockerJob Description:
• Contribute to customer discussions in collecting the requirement
• Engage in internal and customer POC’s to realize the potential solutions envisaged for the customers.
• Design/Develop/Migrate VRA blueprints and VRO workflows; strong hands-on knowledge in vROPS and integrations with application and VMware solutions.
• Develop automation scripts to support the design and implementation of VMware projects.
Qualification:
• Maintain current, high-level technical knowledge of the entire VMware product portfolio and future product direction and In depth level knowledge
• Maintain deep technical and business knowledge of cloud computing and networking applications, industry directions, and trends.
• Experience with REST API and/or Python programming. TypeScript/NodeJS backend experience
• Experience with Kubernetes
• Familiarity with DevOps tools like Ansible, Puppet, Terraform
• End to end experience in Architecture, Design and Development of VMware Cloud Automation suite with good exposure to VMware products and/or Solutions.
• Hands-on experience in automation, coding, debugging and release.
• Sound process knowledge from requirement gathering, implementation, deployment and Support.
• Experience in working with global teams, customers and partners with solid communication skills.
• VMware CMA certification would be a plus
• Academic background in MS/BE/B-Tech/ IT/CS/ECE/EE would be preferred.
MongoDBProfile: DevOps Engineer
Experience: 5-8 Yrs
Notice Period: Immediate to 30 Days
Job Descrtiption:
Technical Experience (Must Have):
Cloud: Azure
DevOps Tool: Terraform, Ansible, Github, CI-CD pipeline, Docker, Kubernetes
Network: Cloud Networking
Scripting Language: Any/All - Shell Script, PowerShell, Python
OS: Linux (Ubuntu, RHEL etc)
Database: MongoDB
Professional Attributes: Excellent communication, written, presentation,
and problem-solving skills.
Experience: Minimum of 5-8 years of experience in Cloud Automation and
Application
Additional Information (Good to have):
Microsoft Azure Fundamentals AZ-900
Terraform Associate
Docker
Certified Kubernetes Administrator
Role:
Building and maintaining tools to automate application and
infrastructure deployment, and to monitor operations.
Design and implement cloud solutions which are secure, scalable,
resilient, monitored, auditable and cost optimized.
Implementing transformation from an as is state, to the future.
Coordinating with other members of the DevOps team, Development, Test,
and other teams to enhance and optimize existing processes.
Provide systems support, implement monitoring and logging alerting
solutions that enable the production systems to be monitored.
Writing Infrastructure as Code (IaC) using Industry standard tools and
services.
Writing application deployment automation using industry standard
deployment and configuration tools.
Design and implement continuous delivery pipelines that serve the
purpose of provisioning and operating client test as well as production
environments.
Implement and stay abreast of Cloud and DevOps industry best practices
and tooling.
JenkinsDockerKubernetes
GitMLOps 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
KubernetesEXP:: 4 - 7 yrs
- Any scripting language:: Python, Scala, shell or bash
- Cloud:: AWS
- Database:: Relational (SQL) & non-relational (NoSQL)
- CI/CD tools and Version controlling
Kubernetes
Go Programming (Golang)PythonYou will be responsible for
1. Setting up, maintaining cloud (AWS/GCP/Azure) and kubernetes cluster and automating
their operation
2. All operational aspects of devtron platform including maintenance, upgrades,
automation.
3. Providing kubernetes expertise to facilitate smooth and fast customer onboarding on
devtron platform
Responsibilities:
1. Manage devtron platform on multiple kubernetes clusters
2. Designing and embedding industry best practices for online services including disaster
recovery, business continuity, monitoring/alerting, and service health measurement
3. Providing operational support for day to day activities involving the deployment of
services
4. Identify opportunities for improving the security, reliability, and scalability of the platform
5. Facilitate smooth and fast customer onboarding on devtron platform
6. Drive customer engagement
Requirements:
● Bachelor's Degree in Computer Science or a related field.
● 2+ years working as a devops engineer
● Proficient in 1 or more programming languages (e.g. Python, Go, Ruby).
● Familiar with shell scripts, Linux commands, network fundamentals
● Understanding of large scale distributed systems
● Basic understanding of cloud computing (AWS/GCP/Azure)
Preferred Qualifications:
● Great analytical and interpersonal skills
● Passion for creating efficient, reliable, reusable programs/scripts.
● Excited about technology, have a strong interest in learning about and playing with the
latest technologies and doing POC.
● Strong customer focus, ownership, urgency and drive.
● Knowledge and experience with cloud native tools like prometheus, kubernetes, docker,
grafana.
- JD: • 10+ years of overall industry experience
• 5+ years of cloud experience
• 2+ years of architect experience
• Varied background preferred between systems and development
o Experience working with applications, not pure infra experience
• Azure experience – strong background using Azure for application migrations
• Terraform experience – should mention automation technologies in job experience
• Hands on experience delivering in the cloud
• Must have job experience designing solutions for customers
• IaaS Cloud architect
workload migrations to AWS and/or Azure
• Security architecture considerations experience
• CI/CD experience
• Proven applications migration track of record.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon