Docker
Kubernetes
Amazon Web Services (AWS)- Hands on experience in AWS provisioning of AWS services like EC2, S3,EBS, AMI, VPC, ELB, RDS, Auto scaling groups, Cloud Formation.
- Good experience on Build and release process and extensively involved in the CICD using
Jenkins
- Experienced on configuration management tools like Ansible.
- Designing, implementing and supporting fully automated Jenkins CI/CD
- Extensively worked on Jenkins for continuous Integration and for end to end Automation for all Builds and Deployments.
- Proficient with Docker based container deployments to create shelf environments for dev teams and containerization of environment delivery for releases.
- Experience working on Docker hub, creating Docker images and handling multiple images primarily for middleware installations and domain configuration.
- Good knowledge in version control system in Git and GitHub.
- Good experience in build tools
- Implemented CI/CD pipeline using Jenkins, Ansible, Docker, Kubernetes ,YAML and Manifest
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs (10)
JenkinsDockerKubernetesGreetings from NAM Info Pvt Ltd,
Job Title: GCP DevOps Engineer
Location: Bangalore
Experience: 6+ Years
Employment Type: Full Time with NAM Info Pvt Ltd (Payroll)
Job Description:
We are looking for a GCP DevOps Engineer with hands-on experience in Google Cloud Platform and DevOps tools. The ideal candidate should have experience in CI/CD, cloud infrastructure, automation, and container technologies.
Required Skills:
- Experience with Google Cloud Platform (GCP)
- Knowledge of CI/CD tools such as Jenkins or GitLab CI
- Experience with Docker and Kubernetes (GKE preferred)
- Infrastructure as Code using Terraform
- Good knowledge of Linux and Shell scripting
- Experience with Git version control
- Monitoring tools such as Prometheus or Grafana is a plus
- Good troubleshooting and communication skills
PythonReview Criteria
- Strong DevOps /Cloud Engineer Profiles
- Must have 3+ years of experience as a DevOps / Cloud Engineer
- Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
- Must have strong hands-on experience in Linux administration and system management
- Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
- Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
- Must be proficient in scripting languages such as Python or Bash for automation
- Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
- Top tier Product-based company (B2B Enterprise SaaS preferred)
Preferred
- Experience in multi-tenant SaaS infrastructure scaling.
- Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.
Role & Responsibilities
We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.
Key Responsibilities:
- Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
- Build and optimize CI/CD pipelines to support rapid release cycles.
- Manage containerization & orchestration (Docker, Kubernetes).
- Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
- Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
- Drive cloud security automation (IAM, SSL, secrets management).
- Partner with engineering teams to embed DevOps into SDLC.
- Troubleshoot production issues and drive incident response.
- Support multi-tenant SaaS scaling strategies.
Ideal Candidate
- 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
- Strong expertise in AWS, Azure, or GCP.
- Strong expertise in LINUX Administration.
- Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
- Proficient in Terraform/Ansible/CloudFormation.
- Strong scripting skills (Python, Bash).
- Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
- Strong grasp of cloud security best practices.
Elastic SearchJob Description
We are seeking a skilled DevOps Specialist to join our global automotive team. As DevOps Specialist, you will be responsible for managing operations, system monitoring, troubleshooting, and supporting automation workflows to ensure operational stability and excellence for enterprise IT projects. You will be providing support for critical application environments for industry leaders in the automotive industry.
Responsibilities:
Daily maintenance tasks on application availability, response times, pro-active incident tracking on system logs and resources monitoring
Incident Management: Monitor and respond to tickets raised by the DevOps team or end-users.
Support users with prepared troubleshooting Maintain detailed incident logs, track SLAs, and prepare root cause analysis reports.
Change & Problem Management: Support scheduled changes, releases, and maintenance activities. Assist in identifying and tracking recurring issues.
Documentation & Communication: Maintain process documentation, runbooks, and knowledge base articles. Provide regular updates to stakeholders on incidents and resolutions.
Tool & Platform Support: Manage and troubleshoot CI/CD tools (e.g., Jenkins, GitLab), container platforms (e.g., Docker, Kubernetes), and cloud services (e.g., AWS, Azure).
Requirements:
DevOps Skillset: Logfile analysis /troubleshooting (ELK Stack), Linux administration, Monitoring (App Dynamics, Checkmk, Prometheus, Grafana), Security (Black Duck, SonarQube, Dependabot, OWASP or similar)
Experience with Docker.
Familiarity with DevOps principles and ticket tools like ServiceNow.
Experience in handling confidential data and safety sensitive systems
Strong analytical, communication, and organizational abilities. Easy to work with.
Optional: Experience with our relevant business domain (Automotive / Manufacturing industry, especially production management systems). Familiarity with IT process frameworks SCRUM, ITIL.
Skills & Requirements
DevOps, Logfile Analysis, Troubleshooting, ELK Stack, Linux Administration, Monitoring, AppDynamics, Checkmk, Prometheus, Grafana, Security, Black Duck, SonarQube, Dependabot, OWASP, Docker, CI/CD, Jenkins, GitLab, Kubernetes, AWS, Azure, ServiceNow, Incident Management, Change Management, Problem Management, Documentation, Communication, Analytical Skills, Organizational Skills, SCRUM, ITIL, Automotive Industry, Manufacturing Industry, Production Management Systems.
KubernetesDockerAmazon Web Services (AWS)Responsibility :
- 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
KubernetesDocker- Public clouds, such as AWS, Azure, or Google Cloud Platform
- Automation technologies, such as Kubernetes or Jenkins
- Configuration management tools, such as Puppet or Chef
- Scripting languages, such as Python or Ruby
KubernetesDockerAmazon Web Services (AWS)● Bachelor Degree or 5+ years of professional or experience.
● 2+ years of hands-on experience of programming in languages such as Python, Ruby,
Go, Swift, Java, .Net, C++ or similar object-oriented language.
● Experience with automating cloud native technologies, deploying applications, and
provisioning infrastructure.
● Hands-on experience with Infrastructure as Code, using CloudFormation, Terraform, or
other tools.
● Experience developing cloud native CI/CD workflows and tools, such as Jenkins,
Bamboo, TeamCity, Code Deploy (AWS) and/or GitLab.
● Hands-on experience with microservices and distributed application architecture, such
as containers, Kubernetes, and/or serverless technology.
● Hands-on experience in building/managing data pipelines, reporting & analytics.
● Experience with the full software development lifecycle and delivery using Agile
practices.
● Preferable (bonus points if you know these):
○ AWS cloud management
○ Kafka
○ Databricks
○ Gitlab CI/CD hooks
○ Python notebooks
Amazon Web Services (AWS)About the Company
Blue Sky Analytics is a Climate Tech startup that combines the power of AI & Satellite data to aid in the creation of a global environmental data stack. Our funders include Beenext and Rainmatter. Over the next 12 months, we aim to expand to 10 environmental data-sets spanning water, land, heat, and more!
We are looking for DevOps Engineer who can help us build the infrastructure required to handle huge datasets on a scale. Primarily, you will work with AWS services like EC2, Lambda, ECS, Containers, etc. As part of our core development crew, you’ll be figuring out how to deploy applications ensuring high availability and fault tolerance along with a monitoring solution that has alerts for multiple microservices and pipelines. Come save the planet with us!
Your Role
- Applications built at scale to go up and down on command.
- Manage a cluster of microservices talking to each other.
- Build pipelines for huge data ingestion, processing, and dissemination.
- Optimize services for low cost and high efficiency.
- Maintain high availability and scalable PSQL database cluster.
- Maintain alert and monitoring system using Prometheus, Grafana, and Elastic Search.
Requirements
- 1-4 years of work experience.
- Strong emphasis on Infrastructure as Code - Cloudformation, Terraform, Ansible.
- CI/CD concepts and implementation using Codepipeline, Github Actions.
- Advanced hold on AWS services like IAM, EC2, ECS, Lambda, S3, etc.
- Advanced Containerization - Docker, Kubernetes, ECS.
- Experience with managed services like database cluster, distributed services on EC2.
- Self-starters and curious folks who don't need to be micromanaged.
- Passionate about Blue Sky Climate Action and working with data at scale.
Benefits
- Work from anywhere: Work by the beach or from the mountains.
- Open source at heart: We are building a community where you can use, contribute and collaborate on.
- Own a slice of the pie: Possibility of becoming an owner by investing in ESOPs.
- Flexible timings: Fit your work around your lifestyle.
- Comprehensive health cover: Health cover for you and your dependents to keep you tension free.
- Work Machine of choice: Buy a device and own it after completing a year at BSA.
- Quarterly Retreats: Yes there's work-but then there's all the non-work+fun aspect aka the retreat!
- Yearly vacations: Take time off to rest and get ready for the next big assignment by availing the paid leaves.
Java- Administration and Support for Azure DevOps Server/Services
- Migration from Azure DevOps Server to Azure DevOps Services (SaaS)
- Process Template Customization and Deployment model
- Migration, Upgrade, Monitor, and Maintenance of ADS Instance
- Automation using REST API to build Extensions and Custom Reporting
- Expert in all Modules of Azure DevOps Server/Service (Work Item, SCM/VC, Build, Release, Test, Reporting Management)"
- CICD Orchestration tools and other SCM/VC tools
- Microsoft MCSD Application Lifecycle Management certified
- A bachelor or master degree with a minimum of 6 years relevant work experience in Azure DevOps Server/Services (SaaS)
- Good communication skills
- Strong knowledge of application lifecycle workflows and processes involved in the design, development, deployment, test, and maintenance of software systems in the Windows environment
- Visual Studio and the .NET Framework experience is required "
- Administration and Support for Azure DevOps Server/Services
- Migration from Azure DevOps Server to Azure DevOps Services (SaaS)
- Process Template Customization and Deployment model
- Work with the user community to adopt new features, enable new use cases, and help resolve any issues
- Create customizations and tools to help support the team’s needs (PM, Dev, Test, & Ops)
- Take the lead in the validation of the application.
- Monitor the health of the solution and take proactive steps to ensure reliable availability and performance
- Manage patches and updates for tooling solutions and related hosting environments including the operating system
- Automate the process for Maintenance"
JenkinsKubernetesBelow is the Job details:
Role: DevOps Architect
Experience Level: 8-12 Years
Job Location: Hyderabad
Key Responsibilities :
Look through the various DevOps Tools/Technologies and identify the strengths and provide direction to the DevOps automation team
Out-of-box thought process on the DevOps Automation Platform implementation
Expose various tools and technologies and do POC on integration of the these tools
Evaluate Backend API's for various DevOps tools
Perform code reviews keep in context of RASUI
Mentor the team on the various E2E integrations
Be Liaison in evangelizing the automation solution currently implemented
Bring in various DevOps best Practices/Principles and participate in adoption with various app teams
Must have:
Should possess Bachelors/Masters in computer science with minimum of 8+ years of experience
Should possess minimum 3 years of strong experience in DevOps
Should possess expertise in using various DevOps tools libraries and API's (Jenkins/JIRA/AWX/Nexus/GitHub/BitBucket/SonarQube)
Should possess expertise in optimizing the DevOps stack ( Containers/Kubernetes/Monitoring )
2+ Experience in creating solutions and translate to the development team
Should have strong understanding of OOPs, SDLC (Agile Safe standards)
Proficient in Python , with a good knowledge of its ecosystems (IDEs and Frameworks)
Proficient in various cloud platforms (Azure/AWS/Google cloud platform)
Proficient in various DevOps offerings (Pivotal/OpenStack/Azure DevOps
Regards,
Talent acquisition team
Tetrasoft India
Stay home and Stay safe
Machine Learning (ML)KubernetesPythonDevOps 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