DevOps Senior Engineer/ Lead/Manager in Cloud (Azure/GCP)
at CMML5 IT MNC from USA
Kubernetes
Docker
JenkinsWe are hiring for a Lead DevOps Engineer in Cloud domain with hands on experience in Azure / GCP.
- Expertise in managing Cloud / VMWare resources and good exposure on Dockers/Kubernetes
- Working knowledge of operating systems( Unix, Linux, IBM AIX)
- Experience in installation, configuration and managing apache webserver, Tomcat/Jboss
- Good understanding of JVM, troubleshooting and performance tuning through thread dump and log analysis
-Strong expertise in Dev Ops tools:
- Deployment (Chef/Puppet/Ansible /Nebula/Nolio)
- SCM (TFS, GIT, ClearCase)
- Build tools (Ant,Maven, Make, Gradle)
- Artifact repositories (Nexes, JFrog ArtiFactory)
- CI tools (Jenkins, TeamCity),
- Experienced in scripting languages: Python, Ant, Bash and Shell
What will be required of you?
- Responsible for implementation and support of application/web server infrastructure for complex business applications
- Server configuration management, release management, deployments, automation & troubleshooting
- Set-up and configure Development, Staging, UAT and Production server environment for projects and install/configure all dependencies using the industry best practices
- Manage Code Repositories
- Manage, Document, Control and Innovate Development and Release procedure.
- Configure automated deployment on multiple environment
- Hands-on working experience of Azure or GCP.
- Knowledge Transfer the implementation to support team and until such time support any production issues
Shubham Vishwakarma
Full Stack Developer - Averlon
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DockerKubernetes
Amazon Web Services (AWS)Position: DevOps Engineer / Senior DevOps Engineer
Experience: 3 to 6 Years
Key Skills: AWS, Terraform, Docker, Kubernetes, DevSecOps pipeline
Job Description:
- AWS Infrastructure: Architect, deploy, and manage AWS services like EC2, S3, RDS, Lambda, SageMaker, API Gateway, and VPC.
- Networking: Proficient in subnetting, endpoints, NACL, security groups, VPC flow logs, and routing.
- API Management: Design and manage secure, scalable APIs using AWS API Gateway.
- CI/CD Pipelines: Build and maintain CI/CD pipelines with AWS CodePipeline, CodeBuild, and CodeDeploy.
- Automation & IaC: Use Terraform and CloudFormation for automating infrastructure management.
- Containerization & Kubernetes: Expertise in Docker, Kubernetes, and managing containerized deployments.
- Monitoring & Logging: Implement monitoring with AWS CloudWatch, CloudTrail, and other tools.
- Security: Apply AWS security best practices using IAM, KMS, Secrets Manager, and GuardDuty.
- Cost Management: Monitor and optimize AWS usage and costs.
- Collaboration: Partner with development, QA, and operations teams to enhance productivity and system reliability.
Amazon Web Services (AWS)DockerKubernetes- Minimum 3+ yrs of Experience in DevOps with AWS Platform
- • Strong AWS knowledge and experience
- • Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)
- • Experience with IAC tools Terraform
- • Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)
- • Significant experience with Linux operating system environments
- • Experience with infrastructure scripting solutions such as Python/Shell scripting
- • Must have experience in designing Infrastructure automation framework.
- • Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)
- • Excellent problem-solving, Log Analysis and troubleshooting skills
- • Experience in setting up centralized logging for system (EKS, EC2) and application
- • Process-oriented with great documentation skills
- • Ability to work effectively within a team and with minimal supervision
DockerKubernetesAmazon Web Services (AWS)We are looking to fill the role of Kubernetes engineer. To join our growing team, please review the list of responsibilities and qualifications.
Kubernetes Engineer Responsibilities
- Install, configure, and maintain Kubernetes clusters.
- Develop Kubernetes-based solutions.
- Improve Kubernetes infrastructure.
- Work with other engineers to troubleshoot Kubernetes issues.
Kubernetes Engineer Requirements & Skills
- Kubernetes administration experience, including installation, configuration, and troubleshooting
- Kubernetes development experience
- Linux/Unix experience
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
DockerKubernetesAmazon Web Services (AWS)Classplus is India's largest B2B ed-tech start-up, enabling 1 Lac+ educators and content creators to create their digital identity with their own branded apps. Starting in 2018, we have grown more than 10x in the last year, into India's fastest-growing video learning platform.
Over the years, marquee investors like Tiger Global, Surge, GSV Ventures, Blume, Falcon, Capital, RTP Global, and Chimera Ventures have supported our vision. Thanks to our awesome and dedicated team, we achieved a major milestone in March this year when we secured a “Series-D” funding.
Now as we go global, we are super excited to have new folks on board who can take the rocketship higher🚀. Do you think you have what it takes to help us achieve this? Find Out Below!
What will you do?
• Define the overall process, which includes building a team for DevOps activities and ensuring that infrastructure changes are reviewed from an architecture and security perspective
• Create standardized tooling and templates for development teams to create CI/CD pipelines
• Ensure infrastructure is created and maintained using terraform
• Work with various stakeholders to design and implement infrastructure changes to support new feature sets in various product lines.
• Maintain transparency and clear visibility of costs associated with various product verticals, environments and work with stakeholders to plan for optimization and implementation
• Spearhead continuous experimenting and innovating initiatives to optimize the infrastructure in terms of uptime, availability, latency and costs
You should apply, if you
1. Are a seasoned Veteran: Have managed infrastructure at scale running web apps, microservices, and data pipelines using tools and languages like JavaScript(NodeJS), Go, Python, Java, Erlang, Elixir, C++ or Ruby (experience in any one of them is enough)
2. Are a Mr. Perfectionist: You have a strong bias for automation and taking the time to think about the right way to solve a problem versus quick fixes or band-aids.
3. Bring your A-Game: Have hands-on experience and ability to design/implement infrastructure with GCP services like Compute, Database, Storage, Load Balancers, API Gateway, Service Mesh, Firewalls, Message Brokers, Monitoring, Logging and experience in setting up backups, patching and DR planning
4. Are up with the times: Have expertise in one or more cloud platforms (Amazon WebServices or Google Cloud Platform or Microsoft Azure), and have experience in creating and managing infrastructure completely through Terraform kind of tool
5. Have it all on your fingertips: Have experience building CI/CD pipeline using Jenkins, Docker for applications majorly running on Kubernetes. Hands-on experience in managing and troubleshooting applications running on K8s
6. Have nailed the data storage game: Good knowledge of Relational and NoSQL databases (MySQL,Mongo, BigQuery, Cassandra…)
7. Bring that extra zing: Have the ability to program/script is and strong fundamentals in Linux and Networking.
8. Know your toys: Have a good understanding of Microservices architecture, Big Data technologies and experience with highly available distributed systems, scaling data store technologies, and creating multi-tenant and self hosted environments, that’s a plus
Being Part of the Clan
At Classplus, you’re not an “employee” but a part of our “Clan”. So, you can forget about being bound by the clock as long as you’re crushing it workwise😎. Add to that some passionate people working with and around you, and what you get is the perfect work vibe you’ve been looking for!
It doesn’t matter how long your journey has been or your position in the hierarchy (we don’t do Sirs and Ma’ams); you’ll be heard, appreciated, and rewarded. One can say, we have a special place in our hearts for the Doers! ✊🏼❤️
Are you a go-getter with the chops to nail what you do? Then this is the place for you.
DockerKubernetesAmazon Web Services (AWS)Company - Apptware Solutions
Location Baner Pune
Team Size - 130+
Job Description -
Cloud Engineer with 8+yrs of experience
Roles and Responsibilities
● Have 8+ years of strong experience in deployment, management and maintenance of large systems on-premise or cloud
● Experience maintaining and deploying highly-available, fault-tolerant systems at scale
● A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
● Practical experience with Docker containerization and clustering (Kubernetes/ECS)
● Expertise with AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, VPN)
● Version control system experience (e.g. Git)
● Experience implementing CI/CD (e.g. Jenkins, TravisCI, CodePipeline)
● Operational (e.g. HA/Backups) NoSQL experience (e.g. MongoDB, Redis) SQL experience (e.g. MySQL)
● Experience with configuration management tools (e.g. Ansible, Chef) ● Experience with infrastructure-as-code (e.g. Terraform, Cloudformation)
● Bachelor's or master’s degree in CS, or equivalent practical experience
● Effective communication skills
● Hands-on cloud providers like MS Azure and GC
● A sense of ownership and ability to operate independently
● Experience with Jira and one or more Agile SDLC methodologies
● Nice to Have:
○ Sensu and Graphite
○ Ruby or Java
○ Python or Groovy
○ Java Performance Analysis
Role: Cloud Engineer
Industry Type: IT-Software, Software Services
Functional Area: IT Software - Application Programming, Maintenance Employment Type: Full Time, Permanent
Role Category: Programming & Design
KubernetesDockerSr Enterprise Software Architect with Cloud skills and preferably having either a GCP Associate or Professional Certification.
The requirement is to understand existing Enterprise Applications and help design a solution to enable Load balancing & Auto Scaling the application to meet certain KPIs.
Should be well versed with
- Designing and Deploying Large enterprise software in Cloud
- Understands Cloud fundamentals
- DevOps & Kubernetes
- Experience deploying cloud applications and monitoring operations
- Preferably Google Cloud
- Associate or Professional Certification.
DockerKubernetesAmazon Web Services (AWS)
Hands on experience in:
- Deploying, managing, securing and patching enterprise applications on large scale in Cloud preferably AWS.
- Experience leading End-to-end DevOps projects with modern tools encompassing both Applications and Infrastructure
- AWS Code deploy, Code build, Jenkins, Sonarqube.
- Incident management and root cause analysis.
- Strong understanding of immutable infrastructure and infrastructure as code concepts. Participate in capacity planning and provisioning of new resources. Importing already deployed infra into IaaC.
- Utilizing AWS cloud services such as EC2, S3, IAM, Route53, RDS, VPC, NAT/IG Gateway, LAMBDA, Load Balancers, CloudWatch, API Gateway are some of them.
- AWS ECS managing multi cluster container environments (ECS with EC2 and Fargate with service discovery using Route53)
- Monitoring/analytics tools like Nagios/DataDog and logging tools like LogStash/SumoLogic
- Simple Notification Service (SNS)
- Version Control System: Git, Gitlab, Bitbucket
- Participate in Security Audit of Cloud Infrastructure.
- Exceptional documentation and communication skills.
- Ready to work in Shift
- Knowledge of Akamai is Plus.
- Microsoft Azure is Plus
- Adobe AEM is plus.
- AWS Certified DevOps Professional is plus
JenkinsDockerDevOps Engineer
Notice Period: 45 days / Immediate Joining
Banyan Data Services (BDS) is a US-based Infrastructure services Company, headquartered in San Jose, California, USA. It provides full-stack managed services to support business applications and data infrastructure. We do provide the data solutions and services on bare metal, On-prem, and all Cloud platforms. Our engagement service is built on the DevOps standard practice and SRE model.
We are looking for a DevOps Engineer to help us build functional systems that improve customer experience. we offer you an opportunity to join our rocket ship startup, run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer, that address next-gen data evolution challenges. Candidates who are willing to use their experience in areas directly related to Infrastructure Services, Software as Service, and Cloud Services and create a niche in the market.
Key Qualifications
· 4+ years of experience as a DevOps Engineer with monitoring, troubleshooting, and diagnosing infrastructure systems.
· Experience in implementation of continuous integration and deployment pipelines using Jenkins, JIRA, JFrog, etc
· Strong experience in Linux/Unix administration.
· Experience with automation/configuration management using Puppet, Chef, Ansible, Terraform, or other similar tools.
· Expertise in multiple coding and scripting languages including Shell, Python, and Perl
· Hands-on experience Exposure to modern IT infrastructure (eg. Docker swarm/Mesos/Kubernetes/Openstack)
· Exposure to any of relation database technologies MySQL/Postgres/Oracle or any No-SQL database
· Worked on open-source tools for logging, monitoring, search engine, caching, etc.
· Professional Certificates in AWS or any other cloud is preferable
· Excellent problem solving and troubleshooting skills
· Must have good written and verbal communication skills
Key Responsibilities
Ambitious individuals who can work under their own direction towards agreed targets/goals.
Must be flexible to work on the office timings to accommodate the multi-national client timings.
Will be involved in solution designing from the conceptual stages through development cycle and deployments.
Involve development operations & support internal teams
Improve infrastructure uptime, performance, resilience, reliability through automation
Willing to learn new technologies and work on research-orientated projects
Proven interpersonal skills while contributing to team effort by accomplishing related results as needed.
Scope and deliver solutions with the ability to design solutions independently based on high-level architecture.
Independent thinking, ability to work in a fast-paced environment with creativity and brainstorming
http://www.banyandata.com" target="_blank">www.banyandata.com
KubernetesDockerAmazon Web Services (AWS)As an Infrastructure Engineer at Navi, you will be building a resilient infrastructure platform, using modern Infrastructure engineering practices.
You will be responsible for the availability, scaling, security, performance and monitoring of the navi Cloud platform. You’ll be joining a team that follows best practices in infrastructure as code
Your Key Responsibilities
- Build out the Infrastructure components like API Gateway, Service Mesh, Service Discovery, container orchestration platform like kubernetes.
- Developing reusable Infrastructure code and testing frameworks
- Build meaningful abstractions to hide the complexities of provisioning modern infrastructure components
- Design a scalable Centralized Logging and Metrics platform
- Drive solutions to reduce Mean Time To Recovery(MTTR), enable High Availability.
What to Bring
- Good to have experience in managing large scale cloud infrastructure, preferable AWS and Kubernetes
- Experience in developing applications using programming languages like Java, Python and Go
- Experience in handling logs and metrics at a high scale.
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
Machine Learning (ML)Kubernetes
PythonDevOps 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
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon